Can AI agents automate Apify?

Apify is automatable today through its REST API at https://api.apify.com/v2. This record is the Apify platform and Apify Store Actors. It is not Playwright, Browser Use, or Firecrawl as standalone products, and individual Store Actors are not separate catalog products. The API is JSON over HTTPS. Callers authenticate with an API token as Authorization: Bearer, or less securely as a token query parameter. Official JavaScript and Python clients (apify-client) wrap the same API. Documented resources include Actors, runs, tasks, datasets, key-value stores, request queues, webhooks, schedules, and Store search. Dataset items export as JSON, JSONL, CSV, XLSX, XML, HTML, or RSS. Webhooks POST JSON on Actor run and build lifecycle events and retry on non-2xx responses. The official hosted MCP at https://mcp.apify.com uses Streamable HTTP with OAuth or Bearer. Default tools cover Actor discovery, documentation search, and apify/rag-web-browser. call-actor can run a Store Actor by name when that tool is enabled. Full-permission and rental Actors are excluded from MCP search and execution. Anonymous MCP is limited to discovery and docs tools. Local stdio is npx @apify/actors-mcp-server; it does not infer Actor output schemas. The official CLI installs on macOS, Linux, and Windows and covers login, Actor develop/run/push, storage, apify api, and apify mcp install. iPaaS connector catalogs were not opened. Computer-use viability is unassessed. API and MCP both score 8. API is the best path because it can run Actors the MCP excludes and covers webhooks and schedules that MCP does not expose as first-class tools.

Best path today: api · Overall automatability: 8/10