Apify runs web data extraction at scale through serverless programs it calls Actors: pre-built scrapers for social media, e-commerce, search engines, maps and travel sites live in the Apify Store, ready to run without writing one. Beyond the store, it offers rotating proxies and anti-blocking infrastructure, cloud storage for results, an SDK for JavaScript and Python, a CLI, and an MCP server that puts the whole Actor library directly in reach of an AI agent. Pricing is pay-as-you-go on top of a monthly fee, with a free plan, 30% off for startups, 50% for students and larger nonprofit discounts.
A marketplace of pre-built scrapers is the detail that actually saves time here: most data-extraction problems have already been solved by someone else against the exact site you need, and running an existing Actor beats writing and maintaining a scraper against a site that changes its layout without notice. The MCP server is the forward-looking piece – an agent that can call a working, maintained Actor rather than trying to write and debug its own scraping code on the fly is a materially more reliable way to get an agent real-world data.
Scraping a site is still subject to that site’s own terms of service regardless of how good the anti-blocking technology is, and the responsibility for what you extract and how you use it sits with you, not with the infrastructure. Pay-as-you-go usage on top of a base fee also needs modelling against your actual data volume before assuming a plan tier covers it.
