{ "$schema": "https://cybermax-tools-cybermax.static.hf.space/market/catalog.schema.json", "name": "CyberMax AI Product Market", "publisher": "CyberMax", "description": "Every live CyberMax capability for AI agents, apps and developers, with input/output JSON Schemas, endpoints, pricing, examples and integration code.", "generatedAt": "2026-09-25T17:05:33.307Z", "generator": "scripts/market/build.mjs", "formats": { "llmsTxt": "https://cybermax-tools-cybermax.static.hf.space/market/llms.txt", "llmsFullTxt": "https://cybermax-tools-cybermax.static.hf.space/market/llms-full.txt", "agentCard": "https://cybermax-tools-cybermax.static.hf.space/market/.well-known/agent-card.json", "openapi": "https://cybermax-tools-cybermax.static.hf.space/market/openapi/{name}.json", "mcpManifest": "https://cybermax-tools-cybermax.static.hf.space/market/mcp/{name}.tools.json", "developerKit": "https://huggingface.co/spaces/CyberMax-tools/cybermax-dev-kit", "combinedOpenapi": "https://cybermax-tools-cybermax-dev-kit.static.hf.space/files/cybermax-openapi.json", "postman": "https://cybermax-tools-cybermax-dev-kit.static.hf.space/files/cybermax.postman_collection.json", "partnerProgram": "docs/ceo/partner-program.md (developer program live; referral, revenue share and white-label switch on with the first payment channel)" }, "counts": { "liveTools": 15, "comingSoon": 10, "datasets": 25, "webApps": 11, "downloads": 3, "paidDownloads": 10 }, "capabilities": [ { "id": "cybermax/ai-extract", "kind": "api_tool", "status": "coming_soon", "brand": "Fieldwright", "title": "Fieldwright — AI Web Data Extractor (Bring Your Own LLM Key)", "phrase": "AI Web Data Extractor (Bring Your Own LLM Key)", "summary": "AI web scraper that turns any page into typed JSON fields you name, using YOUR OpenAI, Claude, Gemini or OpenRouter key (you pay the model at cost).", "description": "AI web scraper that turns any page into typed JSON fields you name, using YOUR OpenAI, Claude, Gemini or OpenRouter key (you pay the model at cost). List mode, change monitoring, JSON-LD. $0.001/page; failures free.", "agentDescription": "AI web scraper that turns any page into typed JSON fields you name, using YOUR OpenAI, Claude, Gemini or OpenRouter key (you pay the model at cost). List mode, change monitoring, JSON-LD. $0.001/page; failures free.", "capabilities": [], "useWhen": [], "notFor": [], "keywords": [], "categories": [ "AI", "DEVELOPER_TOOLS", "ECOMMERCE" ], "publisher": "CyberMax", "interfaces": { "human": [ "https://apify.com/cybermax/ai-extract" ], "relatedDatasets": [], "developer": [ "https://api.apify.com/v2/acts/cybermax~ai-extract/run-sync-get-dataset-items" ], "ai": [ "https://mcp.apify.com/?tools=cybermax/ai-extract" ] }, "inputs": { "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "urls": { "type": "array", "title": "Page URLs", "description": "Pages to extract from (product pages, listings, company sites, job posts, events...). One URL per line; the scheme is optional. Duplicates are skipped.", "examples": [ [ "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html", "https://books.toscrape.com/catalogue/tipping-the-velvet_999/index.html" ] ], "items": { "type": "string" } }, "fields": { "type": "array", "title": "Fields to extract", "description": "The columns you want. Each: {\"name\": \"price\", \"type\": \"number\", \"description\": \"Price in GBP\"}. Types: string, number, integer, boolean, url, email, date, string[], number[]. A plain list of names also works: [\"title\", \"price\"]. Descriptions steer the model; values not on the page come back as null (never guessed).", "examples": [ [ { "name": "title", "type": "string", "description": "Book title" }, { "name": "price", "type": "number", "description": "Price including tax, number only" }, { "name": "in_stock", "type": "boolean" }, { "name": "stock_count", "type": "integer", "description": "Number of copies available" }, { "name": "upc", "type": "string" }, { "name": "category", "type": "string", "description": "Book category from the breadcrumb" } ] ], "items": {} }, "instructions": { "type": "string", "title": "Extra instructions (optional)", "description": "Plain-English guidance for the model, e.g. \"Prices in USD without the currency sign\" or \"Only include speakers, not moderators\"." }, "extractList": { "type": "boolean", "title": "List mode: many items per page", "description": "On: every matching item on each page becomes its own row (products on a category page, jobs on a careers page, people on a team page). Still charged once per page.", "default": false }, "jsonSchema": { "type": "object", "title": "Advanced: your own JSON Schema (optional)", "description": "Instead of Fields, give an object JSON Schema; its top-level properties become the fields (types and descriptions kept)." }, "llmProvider": { "type": "string", "title": "LLM provider (your own key)", "description": "Fieldwright calls the model with YOUR key, so you pay the provider directly at their price and choose the model. With \"none\", you get the no-LLM record (title, description, OpenGraph, JSON-LD, emails, phones, Markdown) at a lower price.", "default": "none", "enum": [ "none", "openai", "anthropic", "gemini", "openrouter", "openai-compatible" ], "x-enumTitles": [ "None: metadata, JSON-LD and page Markdown only (no key needed)", "OpenAI", "Anthropic (Claude)", "Google Gemini", "OpenRouter (hundreds of models)", "Any OpenAI-compatible API (Groq, Together, DeepSeek, Mistral, local...)" ] }, "llmApiKey": { "type": "string", "title": "Your API key", "description": "Stored encrypted by Apify as a secret input. It is only sent to the provider you picked, never logged or saved in the dataset.", "writeOnly": true }, "llmModel": { "type": "string", "title": "Model (optional)", "description": "Leave empty for a fast, low-cost default (OpenAI gpt-4.1-mini, Claude claude-haiku-4-5, Gemini gemini-2.5-flash, OpenRouter openai/gpt-4.1-mini) or type any model your key can use." }, "llmBaseUrl": { "type": "string", "title": "Base URL (OpenAI-compatible / proxies only)", "description": "For \"Any OpenAI-compatible API\", e.g. https://api.groq.com/openai/v1. Leave empty otherwise." }, "maxOutputTokens": { "type": "integer", "title": "Max output tokens per page", "description": "Default 2048 (8192 in list mode). Raise for pages with many items.", "minimum": 256, "maximum": 32000 }, "maxPageChars": { "type": "integer", "title": "Max page characters sent to the model", "description": "Caps tokens (and your LLM cost) per page. The page is converted to compact Markdown with links, tables and JSON-LD first.", "default": 20000, "minimum": 2000, "maximum": 200000 }, "onlyChanged": { "type": "boolean", "title": "Monitor: output only pages whose data changed", "description": "Remembers each page's extracted data between runs with the same monitor name. Unchanged pages are not output and not charged; rows get changed = new or updated.", "default": false }, "monitorName": { "type": "string", "title": "Monitor name", "description": "Separate memory per watch list, e.g. \"competitor-prices\"." }, "includeMarkdown": { "type": "boolean", "title": "Include page Markdown in LLM rows", "description": "Adds the Markdown the model read (useful for audits and RAG).", "default": false }, "includeMetadata": { "type": "boolean", "title": "Include metadata in LLM rows", "description": "Adds description, language, canonical URL, OpenGraph, JSON-LD, emails and phones next to your fields.", "default": false }, "htmlDocuments": { "type": "array", "title": "Raw HTML instead of URLs (optional)", "description": "[{\"url\": \"https://example.com/page\", \"html\": \"...\"}] for pages you already fetched.", "items": {} }, "maxPages": { "type": "integer", "title": "Max pages", "description": "Stop after this many pages (a safety cap on your LLM spend).", "default": 1000, "minimum": 1, "maximum": 10000 }, "maxConcurrency": { "type": "integer", "title": "Parallel pages", "description": "Lower it if your LLM key has a small rate limit.", "default": 5, "minimum": 1, "maximum": 20 }, "timeoutSecs": { "type": "integer", "title": "Page load timeout (s)", "description": "How long to wait for each page to load.", "default": 25, "minimum": 5, "maximum": 120 }, "retryBlockedWithProxy": { "type": "boolean", "title": "Retry blocked pages through Apify Proxy", "description": "If a site answers 401/403/429/503 to a direct request, try once more through Apify Proxy.", "default": true }, "proxyConfiguration": { "type": "object", "title": "Proxy (optional)", "description": "Send every page request through this proxy. LLM calls never go through it.", "default": { "useApifyProxy": false } } }, "title": "Fieldwright AI web data extractor", "additionalProperties": false } }, "outputs": { "format": "application/json (array of records, one per input item)", "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "url": { "type": "string", "description": "URL as given" }, "finalUrl": { "type": [ "string", "null" ] }, "ok": { "type": "boolean", "description": "true = processed (charged once per page); false = free failure, see error" }, "mode": { "type": "string", "description": "single, list or no-llm" }, "title": { "type": [ "string", "null" ] }, "data": { "type": [ "object", "null" ], "description": "Your fields, typed; null where the page doesn't say" }, "missingFields": { "type": "array", "items": { "type": "string" } }, "itemIndex": { "type": [ "integer", "null" ] }, "itemsFound": { "type": "integer" }, "changed": { "type": "string", "description": "Monitor mode: new or updated" }, "llm": { "type": "object", "description": "provider, model, inputTokens, outputTokens (billed to your key)" }, "description": { "type": [ "string", "null" ] }, "language": { "type": [ "string", "null" ] }, "canonicalUrl": { "type": [ "string", "null" ] }, "openGraph": { "type": "object" }, "jsonLd": { "type": "array" }, "emails": { "type": "array" }, "phones": { "type": "array" }, "markdown": { "type": [ "string", "null" ] }, "pageChars": { "type": "integer" }, "truncated": { "type": "boolean" }, "httpStatus": { "type": [ "integer", "null" ] }, "fetchedVia": { "type": "string" }, "ms": { "type": "integer" }, "error": { "type": "string" }, "extractedAt": { "type": "string" } } }, "sample": { "url": "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html", "finalUrl": "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html", "title": "A Light in the Attic | Books to Scrape - Sandbox", "pageChars": 1896, "truncated": false, "httpStatus": 200, "fetchedVia": "direct", "ok": true, "mode": "no-llm", "description": "It's hard to imagine a world without A Light in the Attic. This now-classic collection of poetry and drawings from Shel Silverstein celebrates its 20th anniversary with this special edition. Silverstein's humorous and creative verse can amuse the dowdiest of readers. Lemon-fac...", "language": "en-us", "canonicalUrl": null, "openGraph": {}, "jsonLd": [], "emails": [], "phones": [], "markdown": "[Books to Scrape](https://books.toscrape.com/index.html) We love being scraped!\n\n- [Home](https://books.toscrape.com/index.html)\n- [Books](https://books.toscrape.com/catalogue/category/books_1/index.html)\n- [Poetry](https://books.toscrape.com/catalogue/category/books/poe...", "ms": 373, "extractedAt": "2026-09-24T23:12:58.295Z" } }, "api": { "http": { "method": "POST", "url": "https://api.apify.com/v2/acts/cybermax~ai-extract/run-sync-get-dataset-items", "auth": "Authorization: Bearer ", "contentType": "application/json", "body": "the input object (inputs.jsonSchema)", "returns": "JSON array of output records (HTTP 201)", "asyncUrl": "https://api.apify.com/v2/acts/cybermax~ai-extract/runs", "timeoutNote": "run-sync waits up to 300 s; use asyncUrl + GET /v2/actor-runs/{runId} for large inputs" } }, "mcp": { "hosted": { "url": "https://mcp.apify.com/?tools=cybermax/ai-extract", "transport": "streamable-http", "toolName": "cybermax--ai-extract", "auth": "Authorization: Bearer " }, "local": null, "registryName": null, "inOfficialRegistry": null, "manifest": "https://cybermax-tools-cybermax.static.hf.space/market/mcp/ai-extract.tools.json" }, "docs": [ "https://apify.com/cybermax/ai-extract", "https://cybermax-tools-cybermax.static.hf.space/market/tools/ai-extract.md" ], "pricing": { "model": "pay_per_event", "currency": "USD", "events": [ { "id": "page-extracted", "title": "Page extracted with your LLM", "description": "One page turned into your typed fields by the LLM you chose, with your own API key (model tokens are billed by your provider, not by us). In list mode one page = one charge however many items it has. Pages that fail to load, are blocked, have no text, or where the model fails are not charged. Monitor mode: unchanged pages are not charged.", "priceUsd": 0.001 }, { "id": "page-parsed", "title": "Page parsed without LLM", "description": "No-key mode: one page returned as title, description, language, canonical URL, OpenGraph, JSON-LD, emails, phones and clean Markdown. Failures are not charged.", "priceUsd": 0.0003 } ], "notes": "Billed per event to the caller's own Apify account (Apify's free plan includes monthly usage credit). Platform compute is included in the event price." }, "payment": { "methods": [ "apify_account" ], "notes": "Apify token (the caller's own Apify account)." }, "examples": [ { "name": "list mode openai", "input": { "urls": [ "https://books.toscrape.com/catalogue/category/books/poetry_23/index.html" ], "extractList": true, "fields": [ { "name": "title", "type": "string" }, { "name": "price", "type": "number", "description": "Price in GBP, number only" }, { "name": "product_url", "type": "url" }, { "name": "in_stock", "type": "boolean" } ], "llmProvider": "openai", "llmApiKey": "YOUR_OPENAI_KEY" } }, { "name": "monitor competitor prices claude", "input": { "urls": [ "https://www.example-shop.com/product/1", "https://www.example-shop.com/product/2" ], "fields": [ { "name": "price", "type": "number" }, { "name": "currency", "type": "string" }, { "name": "in_stock", "type": "boolean" }, { "name": "promo_text", "type": "string", "description": "Any sale or discount banner text" } ], "llmProvider": "anthropic", "llmApiKey": "YOUR_ANTHROPIC_KEY", "onlyChanged": true, "monitorName": "competitor-prices" } } ], "integration": { "curl": "curl -s -X POST 'https://api.apify.com/v2/acts/cybermax~ai-extract/run-sync-get-dataset-items' \\\n -H \"Authorization: Bearer $APIFY_TOKEN\" -H 'Content-Type: application/json' \\\n -d '{\"urls\":[\"https://books.toscrape.com/catalogue/category/books/poetry_23/index.html\"],\"extractList\":true,\"fields\":[{\"name\":\"title\",\"type\":\"string\"},{\"name\":\"price\",\"type\":\"number\",\"description\":\"Price in GBP, number only\"},{\"name\":\"product_url\",\"type\":\"url\"},{\"name\":\"in_stock\",\"type\":\"boolean\"}],\"llmProvider\":\"openai\",\"llmApiKey\":\"YOUR_OPENAI_KEY\"}'", "python": "from apify_client import ApifyClient # pip install apify-client\nclient = ApifyClient(\"\")\nrun = client.actor(\"cybermax/ai-extract\").call(run_input={\"urls\":[\"https://books.toscrape.com/catalogue/category/books/poetry_23/index.html\"],\"extractList\":True,\"fields\":[{\"name\":\"title\",\"type\":\"string\"},{\"name\":\"price\",\"type\":\"number\",\"description\":\"Price in GBP, number only\"},{\"name\":\"product_url\",\"type\":\"url\"},{\"name\":\"in_stock\",\"type\":\"boolean\"}],\"llmProvider\":\"openai\",\"llmApiKey\":\"YOUR_OPENAI_KEY\"})\nfor item in client.dataset(run[\"defaultDatasetId\"]).iterate_items():\n print(item)", "javascript": "import { ApifyClient } from 'apify-client'; // npm i apify-client\nconst client = new ApifyClient({ token: process.env.APIFY_TOKEN });\nconst run = await client.actor('cybermax/ai-extract').call({\"urls\":[\"https://books.toscrape.com/catalogue/category/books/poetry_23/index.html\"],\"extractList\":true,\"fields\":[{\"name\":\"title\",\"type\":\"string\"},{\"name\":\"price\",\"type\":\"number\",\"description\":\"Price in GBP, number only\"},{\"name\":\"product_url\",\"type\":\"url\"},{\"name\":\"in_stock\",\"type\":\"boolean\"}],\"llmProvider\":\"openai\",\"llmApiKey\":\"YOUR_OPENAI_KEY\"});\nconst { items } = await client.dataset(run.defaultDatasetId).listItems();", "mcpConfig": { "mcpServers": { "cybermax-ai-extract": { "type": "http", "url": "https://mcp.apify.com/?tools=cybermax/ai-extract", "headers": { "Authorization": "Bearer " } } } } }, "usageNotes": [ "One record per input item; invalid or unresolvable inputs are returned with an error field and are not charged unless the pricing says otherwise.", "On the hosted MCP server the tool is named \"cybermax--ai-extract\" and takes the same input object (plus optional waitSecs)." ], "stats": null, "related": [], "economy": { "markets": [ "Business", "Enterprise", "AI / Machine" ], "customerTypes": [ "data teams", "developers", "AI agents" ], "industryApplications": [ "e-commerce", "research", "real estate" ], "enterpriseOptions": "custom extraction schemas (owner approves)", "governmentApplications": "none identified", "grounding": "Use cases the product fits, not existing customers. Enterprise and government terms, registrations, bids and contracts are owner-only.", "registryId": "ai-extract" } }, { "id": "cybermax/app-reviews", "kind": "api_tool", "status": "live", "brand": "Gripeline", "title": "Gripeline — App Store & Google Play Reviews Scraper", "phrase": "App Store & Google Play Reviews Scraper", "summary": "App Store and Google Play reviews scraper: both stores in one clean schema, plus a per-app summary agents can read (star mix, % negative, top complaints, worst app versions).", "description": "App Store and Google Play reviews scraper: both stores in one clean schema, plus a per-app summary agents can read (star mix, % negative, top complaints, worst app versions). Monitor mode returns only new reviews for daily alerts. $0.0001 per review, $0.003 per app summary.", "agentDescription": "Gripeline. Pass app names (\"Duolingo\", searched in both stores), App Store or Google Play links, Apple numeric ids or Play package names. Returns one summary per app, store and country (store rating and count, version, developer, star mix of the reviews read, % negative, top complaint and praise phrases, worst app versions, developer reply rate, one-line summary) followed by the newest reviews in one schema (stars, title, text, date, version, country, helpful votes, developer reply). Use it for \"what do users hate about X?\", competitor research, release QA (\"did v4.2 cause crashes?\": keyword \"crash\"), or complaint mining (maxRating 2). Cost: $0.003 per app summary + $0.0001 per review returned (100 reviews = $0.01). Set includeReviews false for summaries only.", "capabilities": [ "mcp-server", "gripeline", "app-reviews", "app-store", "google-play", "reviews", "sentiment", "product-research", "aso", "user-feedback" ], "useWhen": [ "\"what do users hate about X?\", competitor research, release QA (\"did v4.2 cause crashes?\": keyword \"crash\"), or complaint mining (maxRating 2)" ], "notFor": [], "keywords": [ "mcp-server", "gripeline", "app-reviews", "app-store", "google-play", "reviews", "sentiment", "product-research", "aso", "user-feedback", "ai-agents" ], "categories": [ "AI", "MARKETING", "DEVELOPER_TOOLS" ], "publisher": "CyberMax", "interfaces": { "human": [ "https://apify.com/cybermax/app-reviews", "https://huggingface.co/spaces/CyberMax-tools/app-complaints" ], "relatedDatasets": [ "https://huggingface.co/datasets/CyberMax-tools/app-complaint-stats", "https://huggingface.co/datasets/CyberMax-tools/smartthings-review-mood-sept-2026" ], "developer": [ "https://api.apify.com/v2/acts/cybermax~app-reviews/run-sync-get-dataset-items", "https://cybermax-tools-cybermax.static.hf.space/market/openapi/app-reviews.json" ], "ai": [ "https://mcp.apify.com/?tools=cybermax/app-reviews", "mcp/app-reviews-mcp" ] }, "inputs": { "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "apps": { "type": "array", "title": "Apps", "description": "App names (\"Duolingo\" is looked up in both stores), App Store links (apps.apple.com/.../id570060128), Google Play links (play.google.com/store/apps/details?id=com.duolingo), Apple numeric ids or Play package names.", "examples": [ [ "Duolingo" ] ], "items": { "type": "string" } }, "stores": { "type": "string", "title": "Stores", "description": "Which stores to read. Links and ids always point to their own store; app names are searched in the stores selected here.", "default": "both", "enum": [ "both", "apple", "google" ], "x-enumTitles": [ "App Store + Google Play", "App Store only", "Google Play only" ] }, "maxReviewsPerApp": { "type": "integer", "title": "Max reviews per app (per store and country)", "description": "Newest reviews first. The App Store feed gives at most 500 per country; Google Play goes deeper. 0 = summary of store metadata only.", "default": 200, "minimum": 0, "maximum": 5000 }, "includeReviews": { "type": "boolean", "title": "Return individual reviews", "description": "Off = only the per-app summary record (the summary is still computed from the reviews read).", "default": true }, "countries": { "type": "array", "title": "Countries", "description": "Two-letter store countries (us, gb, de, in…). Each country is read separately; up to 10.", "default": [ "us" ], "items": { "type": "string" } }, "language": { "type": "string", "title": "Google Play language", "description": "Language of Google Play reviews (en, de, es, pt-BR…).", "default": "en" }, "minRating": { "type": "integer", "title": "Minimum stars", "description": "Only keep reviews with at least this many stars.", "default": 1, "minimum": 1, "maximum": 5 }, "maxRating": { "type": "integer", "title": "Maximum stars", "description": "Only keep reviews with at most this many stars (e.g. 2 = complaints only).", "default": 5, "minimum": 1, "maximum": 5 }, "since": { "type": "string", "title": "Only reviews since", "description": "Only keep reviews on or after this date (YYYY-MM-DD)." }, "keyword": { "type": "string", "title": "Keyword filter", "description": "Only keep reviews whose title or text contains this word (case-insensitive), e.g. \"crash\" or \"subscription\"." }, "maxConcurrency": { "type": "integer", "title": "Parallel apps", "description": "How many apps to read at the same time.", "default": 4, "minimum": 1, "maximum": 10 }, "monitor": { "type": "boolean", "title": "Monitor mode: only new reviews since the last run", "description": "For scheduled runs (e.g. daily new reviews to Slack or Google Sheets). Remembers which reviews were already returned for each app, store and country, and outputs (and charges) only reviews not seen before, marked change: \"new\". An app's summary record is returned only when it has new reviews, and then summarizes just those. The first monitor run returns everything, like a normal run. Set Max reviews per app to more than you expect per day between runs (e.g. 100).", "default": false }, "monitorKey": { "type": "string", "title": "Monitor name (optional)", "description": "Name for this watchlist's saved state, so several watchlists can be monitored separately (letters, digits, - _ . only). Empty = derived from the apps, stores, countries and language. State is kept in your named key-value store \"app-reviews-monitor\"." } }, "title": "Gripeline input", "required": [ "apps" ], "additionalProperties": false } }, "outputs": { "format": "application/json (array of records, one per input item)", "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "type": { "description": "Record" }, "change": { "description": "Change (monitor)" }, "newReviews": { "description": "New reviews (monitor)" }, "store": { "description": "Store" }, "country": { "description": "Country" }, "title": { "description": "App" }, "developer": { "description": "Developer" }, "rating": { "description": "Store rating" }, "ratingCount": { "description": "Ratings" }, "summary": { "description": "Summary" }, "sample": { "description": "Sample stats" }, "topComplaints": { "description": "Top complaints" }, "worstVersions": { "description": "Worst versions" }, "url": { "description": "Store link" }, "error": { "description": "Error" }, "appTitle": { "description": "App" }, "text": { "description": "Review" }, "date": { "description": "Date" }, "appVersion": { "description": "Version" }, "helpfulVotes": { "description": "Helpful" }, "developerReply": { "description": "Developer reply" }, "author": { "description": "Author" } }, "x-inferredFrom": "the Actor dataset view field list (types not declared)" } }, "api": { "http": { "method": "POST", "url": "https://api.apify.com/v2/acts/cybermax~app-reviews/run-sync-get-dataset-items", "auth": "Authorization: Bearer ", "contentType": "application/json", "body": "the input object (inputs.jsonSchema)", "returns": "JSON array of output records (HTTP 201)", "asyncUrl": "https://api.apify.com/v2/acts/cybermax~app-reviews/runs", "timeoutNote": "run-sync waits up to 300 s; use asyncUrl + GET /v2/actor-runs/{runId} for large inputs" }, "openapi": "https://cybermax-tools-cybermax.static.hf.space/market/openapi/app-reviews.json", "apifyOpenapi": "https://api.apify.com/v2/acts/cybermax~app-reviews/builds/default/openapi.json" }, "mcp": { "hosted": { "url": "https://mcp.apify.com/?tools=cybermax/app-reviews", "transport": "streamable-http", "toolName": "cybermax--app-reviews", "auth": "Authorization: Bearer " }, "local": { "path": "mcp/app-reviews-mcp", "package": "app-reviews-mcp", "license": "MIT", "tools": [ { "name": "app_reviews", "title": "Gripeline: App Store & Google Play reviews with complaint summary", "description": "Gripeline. Pass app names (\"Duolingo\", searched in both stores), App Store or Google Play links, Apple numeric ids or Play package names. Returns one summary per app, store and country (store rating and count, version, developer, star mix of the reviews read, % negative, top complaint and praise phrases, worst app versions, developer reply rate, one-line summary) followed by the newest reviews in one schema (stars, title, text, date, version, country, helpful votes, developer reply). Use it for \"what do users hate about X?\", competitor research, release QA (\"did v4.2 cause crashes?\": keyword \"crash\"), or complaint mining (maxRating 2). Cost: $0.003 per app summary + $0.0001 per review returned (100 reviews = $0.01). Set includeReviews false for summaries only." } ] }, "registryName": "io.github.shawmena-dotcom/app-reviews", "inOfficialRegistry": true, "manifest": "https://cybermax-tools-cybermax.static.hf.space/market/mcp/app-reviews.tools.json" }, "docs": [ "https://apify.com/cybermax/app-reviews", "https://cybermax-tools-cybermax.static.hf.space/market/tools/app-reviews.md" ], "pricing": { "model": "pay_per_event", "currency": "USD", "events": [ { "id": "app-summary", "title": "App summary", "description": "One app in one store and country: store rating and metadata plus a summary of the reviews read (star mix, % negative, top complaint and praise phrases, worst versions, developer reply rate). Apps that aren't found are not charged.", "priceUsd": 0.003 }, { "id": "review", "title": "Review", "description": "One review returned (stars, title, text, date, app version, country, helpful votes, developer reply). Only reviews that pass your filters are charged.", "priceUsd": 0.0001 } ], "notes": "Billed per event to the caller's own Apify account (Apify's free plan includes monthly usage credit). Platform compute is included in the event price." }, "payment": { "methods": [ "apify_account", "apify_agentic_payments" ], "notes": "Apify lists this Actor as enabled for agentic payments on its hosted MCP server (payment-only sessions such as x402/Skyfire, per Apify's MCP docs), in addition to a normal Apify token." }, "examples": [ { "name": "Summary + 5 newest reviews (both stores)", "input": { "apps": [ "Duolingo" ], "maxReviewsPerApp": 5 }, "returns": "1 summary per store (star mix, top complaints, worst version) + 5 reviews each", "typicalCostUsd": "$0.007" }, { "name": "Only angry reviews (1–2★, App Store)", "input": { "apps": [ "Spotify" ], "stores": "apple", "maxRating": 2, "maxReviewsPerApp": 10 }, "returns": "up to 10 of the newest 1–2★ reviews + a summary", "typicalCostUsd": "$0.004 or less" }, { "name": "Complaint summary only (no review rows)", "input": { "apps": [ "Airbnb", "Uber" ], "stores": "google", "includeReviews": false, "maxReviewsPerApp": 100 }, "returns": "1 summary per app from its 100 newest reviews", "typicalCostUsd": "$0.006" } ], "integration": { "curl": "curl -s -X POST 'https://api.apify.com/v2/acts/cybermax~app-reviews/run-sync-get-dataset-items' \\\n -H \"Authorization: Bearer $APIFY_TOKEN\" -H 'Content-Type: application/json' \\\n -d '{\"apps\":[\"Duolingo\"],\"maxReviewsPerApp\":5}'", "python": "from apify_client import ApifyClient # pip install apify-client\nclient = ApifyClient(\"\")\nrun = client.actor(\"cybermax/app-reviews\").call(run_input={\"apps\":[\"Duolingo\"],\"maxReviewsPerApp\":5})\nfor item in client.dataset(run[\"defaultDatasetId\"]).iterate_items():\n print(item)", "javascript": "import { ApifyClient } from 'apify-client'; // npm i apify-client\nconst client = new ApifyClient({ token: process.env.APIFY_TOKEN });\nconst run = await client.actor('cybermax/app-reviews').call({\"apps\":[\"Duolingo\"],\"maxReviewsPerApp\":5});\nconst { items } = await client.dataset(run.defaultDatasetId).listItems();", "n8nWorkflow": "https://cybermax-tools-cybermax-dev-kit.static.hf.space/files/n8n/app-reviews.json", "zapierMake": "https://cybermax-tools-cybermax-dev-kit.static.hf.space/files/zapier-make.md", "mcpConfig": { "mcpServers": { "cybermax-app-reviews": { "type": "http", "url": "https://mcp.apify.com/?tools=cybermax/app-reviews", "headers": { "Authorization": "Bearer " } } } } }, "usageNotes": [ "Monitor mode: set \"monitor\": true on a scheduled run to get only records that changed since the last run.", "One record per input item; invalid or unresolvable inputs are returned with an error field and are not charged unless the pricing says otherwise.", "On the hosted MCP server the tool is named \"cybermax--app-reviews\" and takes the same input object (plus optional waitSecs)." ], "stats": { "source": "Apify Store API", "users30d": 1, "publicRuns30d": { "ABORTED": 0, "FAILED": 0, "SUCCEEDED": 1, "TIMED-OUT": 0, "TOTAL": 1 }, "reviews": 0, "rating": null }, "related": [], "economy": { "markets": [ "Business", "Enterprise", "AI / Machine" ], "customerTypes": [ "product managers", "app developers", "market researchers" ], "industryApplications": [ "mobile apps", "consumer tech", "banking apps", "health-app operators (no patient data)" ], "enterpriseOptions": "competitor review monitoring feed (owner approves)", "governmentApplications": "agency teams reading public reviews of their own citizen-facing apps", "grounding": "Use cases the product fits, not existing customers. Enterprise and government terms, registrations, bids and contracts are owner-only.", "registryId": "app-reviews" } }, { "id": "cybermax/article-extract", "kind": "api_tool", "status": "live", "brand": "Inkpluck", "title": "Inkpluck — Article Extractor: URL to Text, Markdown & Metadata", "phrase": "Article Extractor: URL to Text, Markdown & Metadata", "summary": "Article extractor API for news, blogs and docs: URLs or HTML in, clean text + Markdown, title, authors, publish date, language, top image, videos and paywall flag out.", "description": "Article extractor API for news, blogs and docs: URLs or HTML in, clean text + Markdown, title, authors, publish date, language, top image, videos and paywall flag out. newspaper3k-compatible fields. $0.001 per article; failures free.", "agentDescription": "Inkpluck. Article extractor: give URLs of news articles, blog posts or docs pages and get, per URL, the clean article body as Markdown (or plain text) without navigation, ads or footers, plus title, authors, publish and modified dates (ISO 8601), language, site name, tags, top image, embedded videos, word count, reading time, a paywall flag and looksLikeArticle (false for home/section pages). Use it to read, summarise, quote or fact-check links, to find who wrote something and when, to get the latest posts from RSS/Atom feeds, or to build a RAG corpus. It fetches the given URLs and feed items only (no crawling) with plain HTTP, so JavaScript-only pages and hard bot walls return a free failure with the reason. Cost: $0.001 per article extracted; failures are free. Typically 0.5-3 s per URL.", "capabilities": [ "mcp-server", "inkpluck", "article-extractor", "web-to-markdown", "readability", "newspaper3k", "news", "rag", "llm", "ai-agents" ], "useWhen": [ "read, summarise, quote or fact-check links, to find who wrote something and when, to get the latest posts from RSS/Atom feeds, or to build a RAG corpus" ], "notFor": [], "keywords": [ "mcp-server", "inkpluck", "article-extractor", "web-to-markdown", "readability", "newspaper3k", "news", "rag", "llm", "ai-agents" ], "categories": [ "NEWS", "AI", "DEVELOPER_TOOLS" ], "publisher": "CyberMax", "interfaces": { "human": [ "https://apify.com/cybermax/article-extract", "https://huggingface.co/spaces/CyberMax-tools/tech-reads-extracted" ], "relatedDatasets": [], "developer": [ "https://api.apify.com/v2/acts/cybermax~article-extract/run-sync-get-dataset-items", "https://cybermax-tools-cybermax.static.hf.space/market/openapi/article-extract.json" ], "ai": [ "https://mcp.apify.com/?tools=cybermax/article-extract", "mcp/article-extract-mcp" ] }, "inputs": { "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "urls": { "type": "array", "title": "Article URLs", "description": "News articles, blog posts or docs pages to extract. One URL per line; the scheme is optional (\"example.com/post\" works). Duplicates are skipped.", "examples": [ [ "https://techcrunch.com/2026/09/23/meta-introduces-camera-free-ai-glasses/", "https://blog.cloudflare.com/vary-support/" ] ], "items": { "type": "string" } }, "feedUrls": { "type": "array", "title": "RSS/Atom feeds to watch", "description": "Feed URLs (e.g. https://techcrunch.com/feed/). Inkpluck reads each feed and extracts its newest articles. Combine with \"Only new articles\" and an Apify Schedule to get each new article once, as Markdown, every day.", "items": { "type": "string" } }, "maxArticlesPerFeed": { "type": "integer", "title": "Articles per feed", "description": "Newest items taken from each feed.", "default": 20, "minimum": 1, "maximum": 200 }, "onlyNew": { "type": "boolean", "title": "Only new articles (monitor mode)", "description": "Skip URLs this monitor already extracted in earlier runs (skips are free and produce no record). Memory is kept in a named key-value store per monitor name in your account.", "default": false }, "monitorName": { "type": "string", "title": "Monitor name", "description": "Separate memories for separate watch lists, e.g. \"ai-news\" or \"competitor-blogs\". Letters, digits and dashes.", "default": "default" }, "htmlDocuments": { "type": "array", "title": "Raw HTML documents (optional)", "description": "Already have the HTML? Pass [{\"url\": \"https://site.com/post\", \"html\": \"...\"}] and Inkpluck extracts it without fetching. The URL is used to resolve relative links and dates.", "items": {} }, "onlyArticles": { "type": "boolean", "title": "Only charge for real articles", "description": "Home pages, section pages (/news, /tech) and link lists are returned as free failures instead of extracted pages. Turn on when feeding crawled link lists; leave off to extract any page's main text.", "default": false }, "outputMarkdown": { "type": "boolean", "title": "Include Markdown", "description": "Add a `markdown` field (headings, lists, links, images and tables kept) next to the plain `text`. Ideal for LLM/RAG pipelines.", "default": true }, "includeHtml": { "type": "boolean", "title": "Include cleaned article HTML", "description": "Add an `html` field with the article body only (no navigation, ads or footer).", "default": false }, "newspaper3kFields": { "type": "boolean", "title": "Add newspaper3k field names", "description": "Also output newspaper3k's attribute names (publish_date, top_image, movies, meta_lang, meta_description, meta_keywords, canonical_link, source_url) so existing newspaper3k code keeps working.", "default": false }, "minWords": { "type": "integer", "title": "Minimum words for a successful extraction", "description": "Pages with fewer words of article text are reported as failures (free).", "default": 50, "minimum": 1, "maximum": 5000 }, "maxConcurrency": { "type": "integer", "title": "Pages in parallel", "description": "How many pages are fetched and extracted at the same time.", "default": 10, "minimum": 1, "maximum": 50 }, "timeoutSecs": { "type": "integer", "title": "Timeout per page (seconds)", "description": "Give up on a page after this many seconds (one automatic retry on network errors and 5xx).", "default": 20, "minimum": 5, "maximum": 120 }, "retryBlockedWithProxy": { "type": "boolean", "title": "Retry blocked pages through Apify Proxy", "description": "When a site answers 403/429/503 to a direct request, try once more through Apify Proxy (uses your account's proxy).", "default": true }, "proxyConfiguration": { "type": "object", "title": "Proxy (optional)", "description": "Send every request through this proxy (e.g. residential for sites that block datacenters). Leave empty for direct requests with the automatic retry above.", "default": { "useApifyProxy": false } }, "startUrls": { "type": "array", "title": "Start URLs (compatibility)", "description": "Same as Article URLs, in the [{\"url\": ...}] format other Actors use.", "items": { "type": "object", "properties": { "url": { "type": "string", "format": "uri" } } } } }, "title": "Inkpluck article extractor", "additionalProperties": false } }, "outputs": { "format": "application/json (array of records, one per input item)", "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "url": { "type": "string", "description": "The URL as given in the input" }, "finalUrl": { "type": [ "string", "null" ], "description": "URL after redirects" }, "ok": { "type": "boolean", "description": "true when article text was extracted (charged); false = free failure, see error" }, "title": { "type": [ "string", "null" ] }, "authors": { "type": "array", "items": { "type": "string" } }, "publishDate": { "type": [ "string", "null" ], "description": "ISO 8601" }, "modifiedDate": { "type": [ "string", "null" ], "description": "ISO 8601" }, "siteName": { "type": [ "string", "null" ] }, "language": { "type": [ "string", "null" ], "description": "ISO 639-1 code, e.g. en" }, "description": { "type": [ "string", "null" ] }, "section": { "type": [ "string", "null" ] }, "tags": { "type": "array", "items": { "type": "string" } }, "topImage": { "type": [ "string", "null" ], "description": "Image" }, "images": { "type": "array", "items": { "type": "string" } }, "videos": { "type": "array", "items": { "type": "string" } }, "text": { "type": "string", "description": "Clean article text, paragraphs separated by blank lines" }, "markdown": { "type": [ "string", "null" ] }, "html": { "type": [ "string", "null" ] }, "wordCount": { "type": "integer" }, "readingTimeMinutes": { "type": "integer" }, "looksLikeArticle": { "type": "boolean" }, "paywalled": { "type": "boolean" }, "canonicalUrl": { "type": [ "string", "null" ] }, "httpStatus": { "type": [ "integer", "null" ] }, "fetchedVia": { "type": "string", "description": "direct, proxy, proxy-retry or html-input" }, "ms": { "type": "integer" }, "error": { "type": "string" }, "extractedAt": { "type": "string" } } }, "sample": { "url": "https://arxiv.org/pdf/1706.03762", "finalUrl": "https://arxiv.org/pdf/1706.03762", "ok": false, "error": "not an HTML page (application/pdf)", "ms": 442, "extractedAt": "2026-09-23T23:44:36.144Z", "images": [] } }, "api": { "http": { "method": "POST", "url": "https://api.apify.com/v2/acts/cybermax~article-extract/run-sync-get-dataset-items", "auth": "Authorization: Bearer ", "contentType": "application/json", "body": "the input object (inputs.jsonSchema)", "returns": "JSON array of output records (HTTP 201)", "asyncUrl": "https://api.apify.com/v2/acts/cybermax~article-extract/runs", "timeoutNote": "run-sync waits up to 300 s; use asyncUrl + GET /v2/actor-runs/{runId} for large inputs" }, "openapi": "https://cybermax-tools-cybermax.static.hf.space/market/openapi/article-extract.json", "apifyOpenapi": "https://api.apify.com/v2/acts/cybermax~article-extract/builds/default/openapi.json" }, "mcp": { "hosted": { "url": "https://mcp.apify.com/?tools=cybermax/article-extract", "transport": "streamable-http", "toolName": "cybermax--article-extract", "auth": "Authorization: Bearer " }, "local": { "path": "mcp/article-extract-mcp", "package": "article-extract-mcp", "license": "MIT", "tools": [ { "name": "extract_article", "title": "Inkpluck: read web articles (URL to Markdown + metadata)", "description": "Inkpluck. Article extractor: give URLs of news articles, blog posts or docs pages and get, per URL, the clean article body as Markdown (or plain text) without navigation, ads or footers, plus title, authors, publish and modified dates (ISO 8601), language, site name, tags, top image, embedded videos, word count, reading time, a paywall flag and looksLikeArticle (false for home/section pages). Use it to read, summarise, quote or fact-check links, to find who wrote something and when, to get the latest posts from RSS/Atom feeds, or to build a RAG corpus. It fetches the given URLs and feed items only (no crawling) with plain HTTP, so JavaScript-only pages and hard bot walls return a free failure with the reason. Cost: $0.001 per article extracted; failures are free. Typically 0.5-3 s per URL." } ] }, "registryName": "io.github.shawmena-dotcom/article-extract", "inOfficialRegistry": true, "manifest": "https://cybermax-tools-cybermax.static.hf.space/market/mcp/article-extract.tools.json" }, "docs": [ "https://apify.com/cybermax/article-extract", "https://cybermax-tools-cybermax.static.hf.space/market/tools/article-extract.md" ], "pricing": { "model": "pay_per_event", "currency": "USD", "events": [ { "id": "article-extracted", "title": "Article extracted", "description": "One page from which article text was extracted: clean text (and Markdown), title, authors, dates, language, images and videos. Pages that fail to load, are blocked, paywalled, not HTML or have too little text are not charged.", "priceUsd": 0.001 } ], "notes": "Billed per event to the caller's own Apify account (Apify's free plan includes monthly usage credit). Platform compute is included in the event price." }, "payment": { "methods": [ "apify_account", "apify_agentic_payments" ], "notes": "Apify lists this Actor as enabled for agentic payments on its hosted MCP server (payment-only sessions such as x402/Skyfire, per Apify's MCP docs), in addition to a normal Apify token." }, "examples": [ { "name": "default first try", "input": { "urls": [ "https://techcrunch.com/2026/09/23/meta-introduces-camera-free-ai-glasses/", "https://blog.cloudflare.com/vary-support/" ] } } ], "integration": { "curl": "curl -s -X POST 'https://api.apify.com/v2/acts/cybermax~article-extract/run-sync-get-dataset-items' \\\n -H \"Authorization: Bearer $APIFY_TOKEN\" -H 'Content-Type: application/json' \\\n -d '{\"urls\":[\"https://techcrunch.com/2026/09/23/meta-introduces-camera-free-ai-glasses/\",\"https://blog.cloudflare.com/vary-support/\"]}'", "python": "from apify_client import ApifyClient # pip install apify-client\nclient = ApifyClient(\"\")\nrun = client.actor(\"cybermax/article-extract\").call(run_input={\"urls\":[\"https://techcrunch.com/2026/09/23/meta-introduces-camera-free-ai-glasses/\",\"https://blog.cloudflare.com/vary-support/\"]})\nfor item in client.dataset(run[\"defaultDatasetId\"]).iterate_items():\n print(item)", "javascript": "import { ApifyClient } from 'apify-client'; // npm i apify-client\nconst client = new ApifyClient({ token: process.env.APIFY_TOKEN });\nconst run = await client.actor('cybermax/article-extract').call({\"urls\":[\"https://techcrunch.com/2026/09/23/meta-introduces-camera-free-ai-glasses/\",\"https://blog.cloudflare.com/vary-support/\"]});\nconst { items } = await client.dataset(run.defaultDatasetId).listItems();", "mcpConfig": { "mcpServers": { "cybermax-article-extract": { "type": "http", "url": "https://mcp.apify.com/?tools=cybermax/article-extract", "headers": { "Authorization": "Bearer " } } } } }, "usageNotes": [ "One record per input item; invalid or unresolvable inputs are returned with an error field and are not charged unless the pricing says otherwise.", "On the hosted MCP server the tool is named \"cybermax--article-extract\" and takes the same input object (plus optional waitSecs)." ], "stats": { "source": "Apify Store API", "users30d": 1, "publicRuns30d": null, "reviews": 0, "rating": null }, "related": [], "economy": { "markets": [ "Business", "AI / Machine" ], "customerTypes": [ "media monitors", "researchers", "RAG/LLM builders" ], "industryApplications": [ "media monitoring", "PR", "AI apps" ], "enterpriseOptions": "news-extraction feed (owner approves)", "governmentApplications": "press offices monitoring coverage of their programmes", "grounding": "Use cases the product fits, not existing customers. Enterprise and government terms, registrations, bids and contracts are owner-only.", "registryId": "article-extract" } }, { "id": "cybermax/batch-geocoder", "kind": "api_tool", "status": "coming_soon", "brand": "Pinloft", "title": "Pinloft — Batch Geocoder: Address to Lat/Long + Census FIPS", "phrase": "Batch Geocoder: Address to Lat/Long + Census FIPS", "summary": "Batch geocoding API: addresses to latitude/longitude, cleaned address, county, Census tract and block FIPS for US addresses (US Census), worldwide via OpenStreetMap.", "description": "Batch geocoding API: addresses to latitude/longitude, cleaned address, county, Census tract and block FIPS for US addresses (US Census), worldwide via OpenStreetMap. Reverse geocoding, congressional districts. $0.0005 per match; misses free.", "agentDescription": "Pinloft. Geocode addresses to latitude/longitude with a cleaned address, match type and confidence. US addresses use the official US Census geocoder and also return county, Census tract, block group and block FIPS codes; with includeDistricts they add congressional and state legislative districts, city, school district, metro area and ZCTA. Addresses elsewhere are geocoded worldwide with OpenStreetMap. Coordinates are reverse geocoded to the nearest street address (plus FIPS and districts for US points). Use it to map customers or stores, join addresses to Census data, find a constituent's representative district, or clean address lists. One record per input, in order; unmatched rows are free.", "capabilities": [ "geocoding", "batch-geocoder", "reverse-geocoding", "census", "fips", "congressional-district", "openstreetmap" ], "useWhen": [ "map customers or stores, join addresses to Census data, find a constituent's representative district, or clean address lists" ], "notFor": [], "keywords": [ "geocoding", "batch-geocoder", "reverse-geocoding", "census", "fips", "congressional-district", "openstreetmap" ], "categories": [ "DEVELOPER_TOOLS", "LEAD_GENERATION", "AI" ], "publisher": "CyberMax", "interfaces": { "human": [ "https://apify.com/cybermax/batch-geocoder", "https://huggingface.co/spaces/CyberMax-tools/batch-geocoder-demo" ], "relatedDatasets": [ "https://huggingface.co/datasets/CyberMax-tools/fipsbook-us-census-geographies" ], "developer": [ "https://api.apify.com/v2/acts/cybermax~batch-geocoder/run-sync-get-dataset-items" ], "ai": [ "https://mcp.apify.com/?tools=cybermax/batch-geocoder", "mcp/batch-geocoder-mcp" ] }, "inputs": { "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "addresses": { "type": "array", "title": "Addresses to geocode", "description": "One address per item, e.g. \"1600 Pennsylvania Ave NW, Washington, DC 20500\" or \"10 Downing St, London\". Objects work too: {\"id\": \"crm-42\", \"street\": \"233 S Wacker Dr\", \"city\": \"Chicago\", \"state\": \"IL\", \"zip\": \"60606\"}. US addresses go to the US Census geocoder (with FIPS codes), everything else to OpenStreetMap. Duplicates are returned and charged once.", "examples": [ [ "1600 Pennsylvania Ave NW, Washington, DC 20500", "233 S Wacker Dr, Chicago, IL 60606", "10 Downing Street, London, UK" ] ], "items": { "type": "string" } }, "coordinates": { "type": "array", "title": "Coordinates to reverse geocode", "description": "Optional. \"latitude,longitude\" per item, e.g. \"40.7484,-73.9857\". Returns the nearest street address, plus county, Census tract/block FIPS and congressional district for US points.", "items": { "type": "string" } }, "country": { "type": "string", "title": "Country", "description": "\"auto\" (default) detects US addresses (state + ZIP, or \"USA\") and sends them to the US Census geocoder; the rest go to OpenStreetMap. \"US\" treats every address as US. An ISO country code or list (e.g. \"de\" or \"gb,ie\") restricts OpenStreetMap matches to those countries.", "default": "auto" }, "includeDistricts": { "type": "boolean", "title": "Add US districts (congressional, state legislative, city, metro area)", "description": "For matched US addresses, also return the congressional district, state senate and house districts, incorporated place, county subdivision, metro area and urban area (one extra Census lookup per address; no extra charge, a little slower).", "default": false }, "usFallbackToOsm": { "type": "boolean", "title": "Retry US misses on OpenStreetMap", "description": "When the US Census geocoder can't match a US address (new streets, PO boxes, place names), try OpenStreetMap next. Matches found this way have no tract/block FIPS unless districts are on.", "default": true }, "language": { "type": "string", "title": "Language for place names", "description": "Preferred language for OpenStreetMap place names (e.g. \"en\", \"de\", \"fr\").", "default": "en" }, "maxOsmLookups": { "type": "integer", "title": "Max OpenStreetMap lookups per run", "description": "Non-US addresses and reverse lookups use OpenStreetMap at 1 request per second (its fair-use limit), so 500 take about 9 minutes. Items over the limit are returned as \"skipped\" and not charged. US Census addresses are not limited (thousands per minute).", "default": 500, "minimum": 0, "maximum": 3000 }, "onlyNew": { "type": "boolean", "title": "Monitor mode: only geocode new addresses", "description": "For scheduled runs over a growing list (CRM, sign-ups, store locations): addresses matched in an earlier run with the same monitor key are skipped and not charged.", "default": false }, "monitorKey": { "type": "string", "title": "Monitor key", "description": "Name of the list remembered between runs in monitor mode. Use one key per list.", "default": "default" } }, "title": "Pinloft batch geocoder input", "additionalProperties": false } }, "outputs": { "format": "application/json (array of records, one per input item)", "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "id": { "type": [ "string", "null" ], "description": "Your ID" }, "query": { "type": [ "string", "null" ], "description": "Input" }, "queryType": { "type": [ "string", "null" ] }, "status": { "type": [ "string", "null" ], "description": "Status" }, "source": { "type": [ "string", "null" ], "description": "Source" }, "latitude": { "type": [ "number", "null" ], "description": "Latitude" }, "longitude": { "type": [ "number", "null" ], "description": "Longitude" }, "formattedAddress": { "type": [ "string", "null" ], "description": "Matched address" }, "matchType": { "type": [ "string", "null" ], "description": "Match type" }, "confidence": { "type": [ "integer", "null" ], "description": "Confidence" }, "houseNumber": { "type": [ "string", "null" ] }, "street": { "type": [ "string", "null" ] }, "city": { "type": [ "string", "null" ], "description": "City" }, "county": { "type": [ "string", "null" ], "description": "County" }, "state": { "type": [ "string", "null" ] }, "stateCode": { "type": [ "string", "null" ], "description": "State" }, "postcode": { "type": [ "string", "null" ], "description": "Postcode" }, "country": { "type": [ "string", "null" ] }, "countryCode": { "type": [ "string", "null" ], "description": "Country" }, "stateFips": { "type": [ "string", "null" ] }, "countyFips": { "type": [ "string", "null" ], "description": "County FIPS" }, "tractFips": { "type": [ "string", "null" ], "description": "Tract FIPS" }, "blockGroupFips": { "type": [ "string", "null" ], "description": "Block group FIPS" }, "blockFips": { "type": [ "string", "null" ], "description": "Block FIPS" }, "osmType": {}, "osmId": {}, "placeType": { "type": [ "string", "null" ] }, "districts": { "type": [ "object", "null" ], "properties": { "congressionalDistrict": { "type": [ "string", "null" ] }, "congressionalDistrictGeoid": { "type": [ "string", "null" ] }, "stateSenateDistrict": { "type": [ "string", "null" ] }, "stateHouseDistrict": {}, "place": { "type": [ "string", "null" ] }, "placeFips": { "type": [ "string", "null" ] }, "countySubdivision": { "type": [ "string", "null" ] }, "metroArea": { "type": [ "string", "null" ] }, "combinedStatisticalArea": { "type": [ "string", "null" ] }, "urbanArea": { "type": [ "string", "null" ] }, "schoolDistrict": { "type": [ "string", "null" ] }, "zcta": { "type": [ "string", "null" ] } }, "description": "Districts" }, "attribution": { "type": [ "string", "null" ] }, "note": { "description": "Note" } }, "x-inferredFrom": "a real run sample in the product examples/ folder" }, "sample": { "id": "1", "query": "1600 Pennsylvania Ave NW, Washington, DC 20500", "queryType": "address", "status": "matched", "source": "us-census", "latitude": 38.8987026, "longitude": -77.0351892, "formattedAddress": "1600 PENNSYLVANIA AVE NW, WASHINGTON, DC, 20500", "matchType": "exact", "confidence": 1, "houseNumber": "1600", "street": "PENNSYLVANIA AVE NW", "city": "WASHINGTON", "county": "District of Columbia", "state": "District of Columbia", "stateCode": "DC", "postcode": "20500", "country": "United States", "countryCode": "US", "stateFips": "11", "countyFips": "11001", "tractFips": "11001980000", "blockGroupFips": "110019800001", "blockFips": "110019800001034", "osmType": null, "osmId": null, "placeType": "address", "districts": { "congressionalDistrict": "Delegate District (at Large)", "congressionalDistrictGeoid": "1198", "stateSenateDistrict": "2", "stateHouseDistrict": null, "place": "Washington city", "placeFips": "1150000", "countySubdivision": "Washington city", "metroArea": "Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Area", "combinedStatisticalArea": "Washington-Baltimore-Arlington, DC-MD-VA-WV-PA CSA", "urbanArea": "Washington--Arlington, DC--VA--MD Urban Area", "schoolDistrict": "District of Columbia Public Schools", "zcta": "20006" }, "attribution": "US Census Bureau Geocoder (public domain), TIGER/Line current benchmark", "note": null } }, "api": { "http": { "method": "POST", "url": "https://api.apify.com/v2/acts/cybermax~batch-geocoder/run-sync-get-dataset-items", "auth": "Authorization: Bearer ", "contentType": "application/json", "body": "the input object (inputs.jsonSchema)", "returns": "JSON array of output records (HTTP 201)", "asyncUrl": "https://api.apify.com/v2/acts/cybermax~batch-geocoder/runs", "timeoutNote": "run-sync waits up to 300 s; use asyncUrl + GET /v2/actor-runs/{runId} for large inputs" } }, "mcp": { "hosted": { "url": "https://mcp.apify.com/?tools=cybermax/batch-geocoder", "transport": "streamable-http", "toolName": "cybermax--batch-geocoder", "auth": "Authorization: Bearer " }, "local": { "path": "mcp/batch-geocoder-mcp", "package": "batch-geocoder-mcp", "license": "MIT", "tools": [ { "name": "geocode_addresses", "title": "Pinloft: batch geocoder (address to lat/long, Census FIPS, districts, reverse)", "description": "Pinloft. Geocode addresses to latitude/longitude with a cleaned address, match type and confidence. US addresses use the official US Census geocoder and also return county, Census tract, block group and block FIPS codes; with includeDistricts they add congressional and state legislative districts, city, school district, metro area and ZCTA. Addresses elsewhere are geocoded worldwide with OpenStreetMap. Coordinates are reverse geocoded to the nearest street address (plus FIPS and districts for US points). Use it to map customers or stores, join addresses to Census data, find a constituent's representative district, or clean address lists. One record per input, in order; unmatched rows are free." } ] }, "registryName": "io.github.shawmena-dotcom/batch-geocoder", "inOfficialRegistry": false, "manifest": "https://cybermax-tools-cybermax.static.hf.space/market/mcp/batch-geocoder.tools.json" }, "docs": [ "https://apify.com/cybermax/batch-geocoder", "https://cybermax-tools-cybermax.static.hf.space/market/tools/batch-geocoder.md" ], "pricing": { "model": "pay_per_event", "currency": "USD", "events": [ { "id": "address-geocoded", "title": "Address geocoded", "description": "One address or coordinate pair matched: latitude/longitude, cleaned address and, for US addresses, county, Census tract and block FIPS codes (districts included when requested). Not-found, duplicate, invalid and skipped rows are not charged.", "priceUsd": 0.0005 } ], "notes": "Billed per event to the caller's own Apify account (Apify's free plan includes monthly usage credit). Platform compute is included in the event price." }, "payment": { "methods": [ "apify_account" ], "notes": "Apify token (the caller's own Apify account)." }, "examples": [ { "name": "default first try", "input": { "addresses": [ "1600 Pennsylvania Ave NW, Washington, DC 20500", "233 S Wacker Dr, Chicago, IL 60606", "10 Downing Street, London, UK" ] } } ], "integration": { "curl": "curl -s -X POST 'https://api.apify.com/v2/acts/cybermax~batch-geocoder/run-sync-get-dataset-items' \\\n -H \"Authorization: Bearer $APIFY_TOKEN\" -H 'Content-Type: application/json' \\\n -d '{\"addresses\":[\"1600 Pennsylvania Ave NW, Washington, DC 20500\",\"233 S Wacker Dr, Chicago, IL 60606\",\"10 Downing Street, London, UK\"]}'", "python": "from apify_client import ApifyClient # pip install apify-client\nclient = ApifyClient(\"\")\nrun = client.actor(\"cybermax/batch-geocoder\").call(run_input={\"addresses\":[\"1600 Pennsylvania Ave NW, Washington, DC 20500\",\"233 S Wacker Dr, Chicago, IL 60606\",\"10 Downing Street, London, UK\"]})\nfor item in client.dataset(run[\"defaultDatasetId\"]).iterate_items():\n print(item)", "javascript": "import { ApifyClient } from 'apify-client'; // npm i apify-client\nconst client = new ApifyClient({ token: process.env.APIFY_TOKEN });\nconst run = await client.actor('cybermax/batch-geocoder').call({\"addresses\":[\"1600 Pennsylvania Ave NW, Washington, DC 20500\",\"233 S Wacker Dr, Chicago, IL 60606\",\"10 Downing Street, London, UK\"]});\nconst { items } = await client.dataset(run.defaultDatasetId).listItems();", "mcpConfig": { "mcpServers": { "cybermax-batch-geocoder": { "type": "http", "url": "https://mcp.apify.com/?tools=cybermax/batch-geocoder", "headers": { "Authorization": "Bearer " } } } } }, "usageNotes": [ "One record per input item; invalid or unresolvable inputs are returned with an error field and are not charged unless the pricing says otherwise.", "On the hosted MCP server the tool is named \"cybermax--batch-geocoder\" and takes the same input object (plus optional waitSecs)." ], "stats": null, "related": [], "economy": { "markets": [ "Business", "Enterprise", "Government", "AI / Machine" ], "customerTypes": [ "logistics teams", "insurers", "public-sector GIS analysts" ], "industryApplications": [ "logistics", "insurance", "real estate", "healthcare admin (facility addresses only)" ], "enterpriseOptions": "bulk geocoding with Census tract/county FIPS (owner approves)", "governmentApplications": "city and county GIS teams geocoding address lists (facility or permit data, no personal data)", "grounding": "Use cases the product fits, not existing customers. Enterprise and government terms, registrations, bids and contracts are owner-only.", "registryId": "batch-geocoder" } }, { "id": "cybermax/bulk-image-downloader", "kind": "api_tool", "status": "live", "brand": "Picpail", "title": "Picpail — Bulk Image Downloader: All Images from URLs to ZIP", "phrase": "Bulk Image Downloader: All Images from URLs to ZIP", "summary": "Download all images from web pages or image URLs into one ZIP, full-size originals instead of thumbnails: img, srcset, lazy-load, CSS, og:image.", "description": "Download all images from web pages or image URLs into one ZIP, full-size originals instead of thumbnails: img, srcset, lazy-load, CSS, og:image. Real format and pixel size, duplicate removal, size/format filters, monitor mode. $0.0005 per image; duplicates and skips free.", "agentDescription": "Picpail. Bulk image downloader: give web page URLs (product pages, galleries, blog posts) and/or direct image URLs; it finds every image (img, srcset, lazy-load data-src, picture, CSS backgrounds, og:image, JSON-LD, linked originals), swaps CDN thumbnails for FULL-SIZE ORIGINALS (Shopify, WordPress, Wikimedia, Cloudinary, Wix, Squarespace, Contentful, imgix), downloads each once, verifies it from its bytes and returns a ZIP link (or one link per file with output=\"files\") plus, per image: real format, width, height, bytes, alt text and where it was found. Filters: minWidth/minHeight, formats, sameDomainOnly, urlPattern. Use it to collect product photos, back up a site's media, build image datasets or audit alt text. Reads server HTML (no browser): JavaScript-only pages return few images. Cost: $0.0005 per image delivered (+$0.0001 per MB above 2 MB for very large files); duplicates and skipped images are free.", "capabilities": [ "mcp-server", "picpail", "image-downloader", "bulk-image-download", "download-images", "image-scraper", "ai-agents" ], "useWhen": [ "collect product photos, back up a site's media, build image datasets or audit alt text" ], "notFor": [], "keywords": [ "mcp-server", "picpail", "image-downloader", "bulk-image-download", "download-images", "image-scraper", "ai-agents" ], "categories": [ "DEVELOPER_TOOLS", "AUTOMATION", "ECOMMERCE" ], "publisher": "CyberMax", "interfaces": { "human": [ "https://apify.com/cybermax/bulk-image-downloader", "https://huggingface.co/spaces/CyberMax-tools/full-size-image-finder" ], "relatedDatasets": [], "developer": [ "https://api.apify.com/v2/acts/cybermax~bulk-image-downloader/run-sync-get-dataset-items", "https://cybermax-tools-cybermax.static.hf.space/market/openapi/bulk-image-downloader.json" ], "ai": [ "https://mcp.apify.com/?tools=cybermax/bulk-image-downloader", "mcp/bulk-image-downloader-mcp" ] }, "inputs": { "jsonSchema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "object", "properties": { "urls": { "type": "array", "title": "Page or image URLs", "description": "Web pages to take every image from (product pages, galleries, blog posts, listings) and/or direct image URLs (…/photo.jpg). Mix freely; bare domains get https://. Each image is downloaded, checked to be a real image and measured.", "examples": [ [ "https://books.toscrape.com/", "https://www.gstatic.com/webp/gallery/1.webp" ] ], "items": { "type": "string" } }, "output": { "type": "string", "title": "Deliver images as", "description": "How to get the images. ZIPs are split into parts at 'ZIP part size'. Every mode also returns one dataset row per image (URL, format, width, height, bytes, SHA-256, alt text, where it was found).", "default": "zip", "enum": [ "zip", "zipPerPage", "files", "list" ], "x-enumTitles": [ "One ZIP (a folder per page)", "One ZIP per page", "Separate files in the key-value store", "List only (metadata + original URLs, no files)" ] }, "minWidth": { "type": "integer", "title": "Minimum width (px)", "description": "Skip images narrower than this (measured from the file, not the HTML). 100 skips icons and thumbnails. Skipped images are free.", "default": 0, "minimum": 0 }, "minHeight": { "type": "integer", "title": "Minimum height (px)", "description": "Skip images shorter than this.", "default": 0, "minimum": 0 }, "formats": { "type": "array", "title": "Only these formats", "description": "Keep only these real formats (detected from the file bytes). Empty = all formats.", "items": { "type": "string", "enum": [ "jpeg", "png", "webp", "gif", "avif", "svg", "ico", "bmp", "tiff", "heic" ], "x-enumTitles": [ "JPEG", "PNG", "WebP", "GIF", "AVIF", "SVG", "ICO", "BMP", "TIFF", "HEIC" ] } }, "minFileSizeKb": { "type": "integer", "title": "Minimum file size (KB)", "description": "Skip files smaller than this.", "default": 0, "minimum": 0 }, "maxFileSizeMb": { "type": "integer", "title": "Maximum file size (MB)", "description": "Larger files are skipped (not downloaded).", "default": 25, "minimum": 1, "maximum": 200 }, "urlPattern": { "type": "string", "title": "Image URL must match (regex)", "description": "Optional regular expression, case-insensitive, e.g. /products/|cdn\\.shopify\\.com" }, "excludeUrlPattern": { "type": "string", "title": "Skip image URLs matching (regex)", "description": "Optional, e.g. logo|icon|sprite|avatar" }, "sameDomainOnly": { "type": "boolean", "title": "Only images from the page's own site", "description": "Skip images hosted on other domains (ads, trackers, embeds). The site's own CDN subdomains (cdn.example.com) count as the same site.", "default": false }, "dedupe": { "type": "boolean", "title": "Remove duplicates", "description": "Download each image URL once and drop byte-identical files (SHA-256) across all pages. Duplicates are free.", "default": true }, "skipTrackingPixels": { "type": "boolean", "title": "Skip tracking pixels", "description": "Skip 1×1 and 2×2 images.", "default": true }, "upgradeToOriginals": { "type": "boolean", "title": "Full-size originals instead of thumbnails", "description": "Pages usually show resized copies. For Shopify, WordPress (media library + Jetpack), Wikimedia, Cloudinary, Wix, Squarespace, Contentful and imgix URLs, download the full-size original instead (falls back to the page's copy if the original can't be fetched). The row keeps both URLs.", "default": true }, "srcset": { "type": "string", "title": "Responsive images (srcset)", "description": "Pages often offer several sizes of the same picture. 'Largest' gets the best quality once.", "default": "largest", "enum": [ "largest", "all", "none" ], "x-enumTitles": [ "Largest version only", "Every size", "Ignore srcset (plain src only)" ] }, "includeLinkedImages": { "type": "boolean", "title": "Linked originals ()", "description": "Gallery thumbnails often link to the full-size original. Links that turn out to be HTML pages are skipped for free.", "default": true }, "includeCssBackgrounds": { "type": "boolean", "title": "CSS background images", "description": "Inline style and