Context.dev

Context.dev is an AI search tool. A single REST API for AI agents to search the live web, scrape any URL or PDF into LLM-ready Markdown, crawl sites, run large batch jobs, monitor pages for changes, and pull company and brand design data, with browser rendering, proxy escalation and retries handled automatically.

Context.dev is a REST API that gives AI agents and software products access to live web data. Instead of stitching together scrapers, proxy services and search providers, a single integration covers search, page scraping, crawling, URL discovery, scheduled monitoring and structured research. The core value is the output format: pages come back as LLM-ready Markdown, HTML, structured fields, images or screenshots, so a language model can consume them without a separate parsing layer. The heavy lifting happens server side and demands no configuration. Every scrape request renders in a real browser so JavaScript-heavy pages return fully loaded content, blocked requests escalate automatically to a stronger proxy, and failed attempts retry with a different strategy before an error reaches the caller. The company reports a 99.96 percent scrape success rate with no tuning. Beyond single pages, the platform maps domains to discover URLs, runs batch jobs across thousands of URLs in the background, and answers research questions in a caller-defined JSON shape with source links attached. Monitors watch pages on a schedule and push change alerts to a webhook. A second cluster of endpoints targets brand and company data: logos, brand colors, fonts, style guides and company profiles pulled from a single domain. This is what product teams use for onboarding autofill and personalized interfaces. Typical users are engineering teams building agents, RAG pipelines or enrichment systems, plus product teams that need company metadata at scale. Named customers include Similarweb, Mintlify, Klarna, Chatwoot, daily.dev, DocsBot and Squad, several of which report integration times measured in minutes. Context.dev competes with general scraping APIs such as Firecrawl, and its positioning leans on agent-friendly interfaces (MCP and CLI alongside the REST API), zero data retention options, and the combination of search, brand data and monitoring behind one key rather than several vendors.