# Scrape Apify Store — All Actors with Stats & Pricing (`khadinakbar/apify-store-scraper`) Actor Extract all 21,000+ actors from Apify Store: titles, descriptions, pricing, stats (total/monthly users, success rate), ratings, categories. MCP/API-ready. - **URL**: https://apify.com/khadinakbar/apify-store-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** Automation, Developer tools, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Apify Store Scraper Extract complete data on all 21,000+ actors from the Apify Store — including titles, descriptions, pricing, stats, ratings, and developer information. Built for market research, competitor analysis, and building comprehensive Apify ecosystem datasets. No coding required. Just set your filters and run. **Compatible with:** Apify Console, REST API, Apify MCP Server (Claude, ChatGPT), Make.com, Zapier, n8n, and direct API access. --- ### What does Apify Store Scraper do? Apify Store Scraper calls the official Apify Store API with automatic pagination to extract the complete catalog of published actors. Unlike scraping HTML pages, it uses the same JSON API that powers the Apify Console — meaning data is structured, fast, and 100% accurate. **Key features:** - Extracts all 21,000+ actors in a single run (typically 2–4 minutes) - Filter by category, pricing model, or developer - Full pricing details including per-event costs and tiered pricing - Real-time stats: total users, monthly users, success rate, bookmarks - Clean, structured JSON output ready for analysis or import --- ### What data can you extract? | Field | Type | Example | |-------|------|---------| | actor_id | string | "h5vZMp0iNGoVB58jy" | | title | string | "Google Maps Scraper" | | full_name | string | "compass/crawler-google-places" | | url | string | "https://apify.com/compass/crawler-google-places" | | description | string | "Extract data from thousands of Google Maps..." | | developer_username | string | "compass" | | is_official_apify | boolean | false | | categories | array | ["Lead Generation", "Travel"] | | pricing_model | string | "PAY_PER_EVENT" | | is_free | boolean | false | | entry_price_usd | number | 0.004 | | total_users | number | 329581 | | monthly_users | number | 20178 | | success_rate | number | 95.1 | | bookmarks | number | 3631 | | rating_average | number | 4.76 | | rating_count | number | 1063 | | is_deprecated | boolean | false | | scraped_at | datetime | "2026-03-28T12:00:00Z" | --- ### How to use Apify Store Scraper #### Quick start (Apify Console) 1. Click **"Try for free"** to open the actor in Apify Console 2. Set your filters (or leave defaults to get ALL actors) 3. Click **"Start"** — a full run takes 2–4 minutes 4. Download results as JSON or CSV #### Input options | Field | Default | Description | |-------|---------|-------------| | Category Names | All | Filter to specific categories (e.g., "AI", "Lead Generation") | | Sort By | Popular | Order results: popular, newest, lastUpdate, title, runs | | Pricing Models | All | Filter: All, FREE, or PAID actors only | | Maintained By | All Developers | Filter: all developers, or official Apify actors only | | Max Items | 0 (all) | Cap results — set to 0 for the complete catalog | #### Using with AI agents (Claude, ChatGPT) Connect via the [Apify MCP Server](https://apify.com/apify/actors-mcp-server) and ask naturally: > "Get me all free AI actors from the Apify Store sorted by popularity" > "How many actors are in the Lead Generation category?" > "Find all actors by the Apify team" The AI will automatically select and run this actor, returning structured results. --- ### How to scrape all 21,000+ Apify Store actors This is the primary use case. Simply run with default settings: ```json { "maxItems": 0, "sortBy": "popular", "pricingModels": "All", "maintainedBy": "All Developers" } ```` The actor will paginate through the entire Apify Store API and extract every listing. **Estimated run time:** 2–4 minutes for the full catalog. *** ### Use cases **Market Research:** Analyze the competitive landscape of Apify actors by category, pricing, and popularity. Identify gaps in the store where no good actor exists yet. **Competitor Analysis:** Track how many users and what ratings competing actors have. Monitor new actors entering your niche. **Pricing Benchmarking:** See what other developers charge per result across different categories. Use this data to price your own actors competitively. **AI Pipeline Data:** Feed the structured actor catalog into Claude, ChatGPT, or a RAG system to answer questions like "what's the best actor for scraping LinkedIn?" or "which actors have the highest success rates?" **Developer Discovery:** Find all actors built by a specific developer, or discover top-rated developers in your niche. **Store Monitoring:** Schedule daily runs to track which new actors are published and how existing ones change over time. *** ### API & Integration #### REST API ```bash curl -X POST "https://api.apify.com/v2/acts/khadinakbar~apify-store-scraper/runs" \ -H "Authorization: Bearer YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 0, "sortBy": "popular"}' ``` #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('khadinakbar/apify-store-scraper').call({ maxItems: 0, sortBy: 'popular', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Scraped ${items.length} actors`); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('YOUR_TOKEN') run = client.actor('khadinakbar/apify-store-scraper').call( run_input={'maxItems': 0, 'sortBy': 'popular'} ) items = list(client.dataset(run['defaultDatasetId']).iterate_items()) print(f'Scraped {len(items)} actors') ``` **Integrations:** Apify MCP Server, LangChain, Make.com, Zapier, n8n, Google Sheets, BigQuery *** ### FAQ **Q: How many actors are in the Apify Store?** A: As of early 2026, the store has 21,000+ actors. This number grows daily as new actors are published by the community. **Q: How long does a full run take?** A: Approximately 2–4 minutes for the full catalog. The actor uses batch API calls of 100 actors per request with polite rate limiting. **Q: Can I filter by specific categories?** A: Yes — set the Category Names field to any Apify Store category such as "AI", "Lead Generation", "Social Media", "E-commerce", "Developer Tools", "SEO Tools", etc. **Q: Does it capture pricing details for pay-per-event actors?** A: Yes. For each actor, it extracts the pricing model, entry price (lowest tier), and all pricing events with their descriptions and prices. **Q: Can I schedule this to run daily for monitoring?** A: Yes — use Apify's built-in scheduler to run daily, weekly, or at any interval. Combined with a webhook, you can get notified whenever new high-rated actors appear. **Q: Is this legal?** A: Yes. This actor uses the official Apify Store public API — the same API that powers the Apify Console. It only accesses publicly available data. **Q: Can I use this with Claude or ChatGPT?** A: Yes — connect via the [Apify MCP Server](https://apify.com/apify/actors-mcp-server) and ask in natural language. The AI will run this actor and analyze the results. # Actor input Schema ## `categoryNames` (type: `array`): Filter by one or more store categories. Leave empty for ALL categories. E.g. 'AI', 'Lead Generation', 'Social Media', 'E-commerce', 'Developer Tools', 'Marketing', 'SEO Tools'. ## `sortBy` (type: `string`): Sort order. 'popularity' = most users first (default). 'newest' = recently published. 'lastUpdate' = recently updated. 'totalUsers' = by total user count. 'relevance' = relevance score. ## `pricingModels` (type: `string`): Filter by pricing. 'All' = both free and paid. 'FREE' = free actors only. 'PAID' = paid actors only. ## `maintainedBy` (type: `string`): 'All Developers' = everyone (default). 'apify' = official Apify-built actors only. ## `maxItems` (type: `integer`): Max actors to scrape. 0 = all (26,000+ actors). Set a smaller number for a quick sample. ## `enrichDetails` (type: `boolean`): When true (default), fetches the full actor detail page per actor to add: publish date (created\_at), last modified, current version, build number, memory/timeout defaults, SEO title/description, README summary. Slower but much richer output. Set false for a fast shallow scan. ## `detailConcurrency` (type: `integer`): Parallel detail fetches per batch (1–20). Higher = faster. Default: 10. ## Actor input object example ```json { "categoryNames": [], "sortBy": "popularity", "pricingModels": "All", "maintainedBy": "All Developers", "maxItems": 0, "enrichDetails": true, "detailConcurrency": 10 } ``` # Actor output Schema ## `results` (type: `string`): Structured records saved by this actor. ## `summary` (type: `string`): Run summary and diagnostic metadata. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "categoryNames": [] }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/apify-store-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "categoryNames": [] } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/apify-store-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "categoryNames": [] }' | apify call khadinakbar/apify-store-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/apify-store-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Scrape Apify Store — All Actors with Stats & Pricing", "description": "Extract all 21,000+ actors from Apify Store: titles, descriptions, pricing, stats (total/monthly users, success rate), ratings, categories. MCP/API-ready.", "version": "1.1", "x-build-id": "wyDqBS3fzcbyOrlvh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~apify-store-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-apify-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~apify-store-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-apify-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~apify-store-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-apify-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "categoryNames": { "title": "Category Names", "type": "array", "description": "Filter by one or more store categories. Leave empty for ALL categories. E.g. 'AI', 'Lead Generation', 'Social Media', 'E-commerce', 'Developer Tools', 'Marketing', 'SEO Tools'.", "default": [] }, "sortBy": { "title": "Sort By", "enum": [ "popularity", "newest", "lastUpdate", "totalUsers", "relevance" ], "type": "string", "description": "Sort order. 'popularity' = most users first (default). 'newest' = recently published. 'lastUpdate' = recently updated. 'totalUsers' = by total user count. 'relevance' = relevance score.", "default": "popularity" }, "pricingModels": { "title": "Pricing Models", "enum": [ "All", "FREE", "PAID" ], "type": "string", "description": "Filter by pricing. 'All' = both free and paid. 'FREE' = free actors only. 'PAID' = paid actors only.", "default": "All" }, "maintainedBy": { "title": "Maintained By", "enum": [ "All Developers", "apify" ], "type": "string", "description": "'All Developers' = everyone (default). 'apify' = official Apify-built actors only.", "default": "All Developers" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Max actors to scrape. 0 = all (26,000+ actors). Set a smaller number for a quick sample.", "default": 0 }, "enrichDetails": { "title": "Enrich with Detail Data", "type": "boolean", "description": "When true (default), fetches the full actor detail page per actor to add: publish date (created_at), last modified, current version, build number, memory/timeout defaults, SEO title/description, README summary. Slower but much richer output. Set false for a fast shallow scan.", "default": true }, "detailConcurrency": { "title": "Detail Fetch Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Parallel detail fetches per batch (1–20). Higher = faster. Default: 10.", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```