For engineers scraping sites that actively block bots, Scrape.do is a scraping API built to get past anti-bot defenses so requests come back with the data instead of a block page.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Scrape.do positions itself as a high-volume scraping API built specifically to get past anti-bot defenses, competing on speed, price, and bypass reliability rather than trying to be a general-purpose data platform. The pre-built endpoints for specific targets, including search results, marketplaces, video platforms, and maps, point to a strategy of packaging common scraping jobs rather than leaving developers to build their own parsers. Conversation about the company shows up mostly in comparison and category-mapping content, where it gets grouped with a specific tier of scraping-API specialists distinct from the large proxy networks and the newer AI-native extraction tools. That placement reflects a real but still compact footprint in the broader scraping conversation, more referenced than debated.
Firecrawl
DataForSEO
Serper
ZenRows
LinkupTripAdvisor, Expedia, Revolut, Shopee, Revenue Grid, Zeo, Otelz
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Business Profile
Founded in 2020, Scrape.do has stayed a small, independent operation, twelve employees, while building a scraping API business it says now handles more than 10 billion requests a month. The company reports $1.3M in annual recurring revenue as of September 2025. Its customer roster spans travel and marketplace brands such as TripAdvisor, Expedia, and Shopee alongside fintech company Revolut, used on the homepage as evidence its infrastructure holds up under high-volume, anti-bot-heavy traffic. The product line has grown from a general scraping API into a set of pre-built endpoints for specific targets like search engines, marketplaces, and video platforms, packaging what would otherwise be custom scraping work.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Scrape.do's agent-facing surface is the API and SDK themselves: structured, pre-parsed JSON output and purpose-built endpoints for common targets, including search, marketplaces, video, and maps, reduce the custom parsing an agent pipeline would otherwise need to do. It also ships a dedicated endpoint for scraping ChatGPT results pages. No MCP server or agent-specific integration docs are on file yet.
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