Apify MCP Server
Command Apify scrapers from your AI agent — run actors, extract web data, poll datasets, and automate browser tasks seamlessly.
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Apify MCP Server : voyez votre AI Agent en action
Capacités intégrées (10)
abort_run
Any data already scraped and pushed to the dataset is preserved. The run status changes to ABORTED. Use this to stop runaway scrapes or when sufficient data has been collected. Graceful shutdown depends on the actor implementation. Abort an active Apify actor run
get_account_limits
Essential for monitoring consumption and avoiding overage charges. Check Apify account subscription limits and compute unit usage
get_dataset_items
The datasetId is found in the run object (defaultDatasetId). Supports pagination via limit (max items per page) and offset (starting position). Returns an array of JSON objects containing the scraped data fields. Use limit=1000 for bulk downloads. Export structured JSON data from an Apify dataset
get_key_value_store
Key-value stores hold arbitrary data like screenshots (OUTPUT), configuration files, or intermediate results. The storeId comes from the run object (defaultKeyValueStoreId). Common keys include "OUTPUT", "INPUT", and "SCREENSHOT". Retrieve an item from an Apify actor key-value store
get_run
Poll this endpoint to track long-running scrapes. Check the status and metadata of a specific Apify actor run
list_actors
Includes owned actors and those from the Apify Store that have been saved. Each entry contains the actorId, name, description, and default run configuration. Use the actorId to trigger runs. List all accessible actors in the Apify account
list_webhooks
RUN.SUCCEEDED, ACTOR.RUN.FAILED), target URLs, and associated actor IDs. Webhooks enable event-driven architectures by notifying external systems when actor runs complete or fail. List all configured webhooks in the Apify account
push_to_queue
Pass the queueId (from the run object) and a JSON string array of request objects, e.g., [{"url":"https://...","uniqueKey":"..."}]. This enables dynamic crawling where new pages are discovered and added during execution. Dynamically push new URLs to an active Apify request queue
run_actor
Pass the actorId (e.g., "apify/web-scraper" or a custom ID) and a JSON string with the input configuration (start URLs, proxy settings, max pages, etc.). Returns immediately with a runId. Use ap.get_run to poll for completion and ap.get_dataset_items to retrieve extracted data. Start an Apify actor asynchronously with custom JSON input
run_actor_sync
run_actor but waits for the actor to finish before returning. The response includes the full run object with defaultDatasetId for immediate data retrieval. Best for short-lived actors (under 5 minutes). For long-running scrapes, use the async ap.run_actor instead. Run an Apify actor and block until completion (synchronous)
Ce que ce connecteur débloque
Connect your Apify workspace to your AI agent and seamlessly direct full-stack web scraping and data extraction workflows through natural conversation.
What you can do
- Discover & Run Actors — Browse all scraper bots (Actors) available in your account. Fire them off asynchronously or synchronously for fast, targeted scraping
- Extract Datasets — Pull robust structured data formats out of completed runs. Retrieve detailed JSON records directly into the agent's context window
- Fetch Key-Value Stores — Programmatically read snapshots, cached HTML pages, or screenshots from the Apify Key-Value repositories mapped to a run
- Job Control & Scalability — Stop hanging scraper jobs, queue new dynamic URLs mid-run, or inspect deep usage analytics, compute units, and webhooks limits
How it works
1. Subscribe to this server
2. Enter your Personal Apify API Token
3. Start exploring and interacting with data extraction routines securely via Claude or Cursor
Who is this for?
- Data Engineers — trigger scheduled extraction logic seamlessly and map Apify objects within a conversational QA check
- Market Researchers — command the AI to scrape product prices using Apify actors and compile the JSON datasets into readable markdown tables
- AI Developers — augment your agent's real-time capabilities by feeding it massive structured site data freshly scraped via headless browsers
Questions fréquemment posées
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