For developers and data teams scraping the web at scale, Oxylabs is a proxy network and scraper API platform that routes requests through residential and datacenter IPs to collect search engine, e-commerce, and public web data reliably.
Presence & Market Position
#62 of 122
GTM Developer Tools
▼ 31 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Oxylabs has repositioned from a proxy-infrastructure vendor into what it calls a data platform, aiming to sit as the retrieval layer underneath agents that read the open web, a pivot sharpened by its first outside funding round. Conversation about the brand runs mostly through developer tool-stack comparisons, where it shows up alongside other scraping and search-API vendors as the option for large-scale, geographically targeted collection, plus conference sponsorships and talks focused on production-grade agentic workflows. That presence has been building steadily rather than spiking, with the funding news giving it its widest visibility yet.
You.com
Bright Data
Parallel
Exa.ai
DataForSEOTrivago, Bellingcat, ICIJ, Conductor, SEON, Wiser, Morningscore, Zulu5, Rightlander
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Business Profile
Oxylabs was founded in 2015 in Vilnius, spun out of the Tesonet accelerator, and grew bootstrapped for more than a decade before taking its first outside capital. On July 9, 2026, it raised $130M from Warburg Pincus at a $3.6B valuation, a rare unicorn-scale round for a company that had never previously taken venture money. It remains independent, with roughly 480 employees, and frames itself as a data platform for large-scale web collection rather than a proxy vendor, serving customers including Trivago and investigative newsroom Bellingcat.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Oxylabs documents its core scraping and proxy access as an API, then layers a CLI, an MCP server, and SDKs on top as separately published developer surfaces. That is a headless build-out from the infrastructure side of the stack rather than the application side, positioning the company as the retrieval layer an agent reads the open web through, alongside the rendering and indexing layers other vendors provide.
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