For developers scraping sites at scale, ScrapingBee is an API that manages proxies and headless browsers behind the scenes, so requests return clean HTML without your team maintaining scraping infrastructure.
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 →
ScrapingBee positions itself as the infrastructure layer between a target URL and clean, usable data — a proxy-and-headless-browser API wrapped in SOC 2 compliance and packaged for teams that would rather not run their own scraping stack. Recent releases push that positioning toward agent and LLM workflows: a CLI built for terminal-first iteration, direct hooks for search-model endpoints, and markdown-ready output meant for feeding language models rather than human dashboards. Conversation about the brand shows up mainly in category rundowns, grouped alongside other scraping-API specialists as one of the established names developers reach for when comparing options. Its footprint in that conversation is modest rather than commanding — present in the landscape mapping, not leading it outright.
SAP, Deloitte, Zapier, Zillow, Kayak, Brex, WooCommerce, Trainline
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Business Profile
ScrapingBee was founded in 2018 in France and grew as a lean, largely self-funded operation — about $100K in disclosed funding backing a team that reached 19 people and roughly $1.5M in reported ARR by 2024. Oxylabs' company group acquired the business in 2025, adding ScrapingBee's developer-focused scraping API to a larger proxy-and-data portfolio; the founding team, product, and ScrapingBee brand continue operating independently, with support capacity expanding under the new ownership. The company now moves from a bootstrapped, independent phase into a backed one, keeping its own name, pricing, and roadmap.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
ScrapingBee has built a full agent-facing surface on top of its core API: a CLI with a persistent REPL for repeatable scraping runs, an MCP server that lets Claude and Gemini browse, search, screenshot, and extract data from live pages, and dedicated endpoints tuned for AI search surfaces alongside LLM-ready markdown output. The build-out extends the same infrastructure — proxy handling, JS rendering, anti-bot defenses — from human developers to agents calling it directly.
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