One API to scrape, enrich, and understand the web. Trusted by 20K+ developers.

Joined May 2024
Honored to be featured on @vesting_tv!
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Introducing Blue Pages, our index of over 80M companies. Now your agents can find: -companies with recent funding rounds -lookalikes for your existing customers -companies that match a query/criteria We're already using it internally to accelerate GTM. Get 500 /company searches free when you sign up to context.dev
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It's about time someone rewrote Cheerio in Rust. Meet Rusteerio, a drop-in replacement for Cheerio. Rusteerio is: - 4.5× faster than Cheerio for HTML extraction - 4× more memory-efficient at 16 CPUs - Supports async parsing and parallel extraction without blocking the JS main thread - Passes all 777 Cheerio tests - Zero npm runtime dependencies We built Rusteerio to power Context's scraping infrastructure, and it already makes our large, concurrent scraping workloads faster and more memory-efficient (check out our batch scraping API). Today we're open-sourcing it: npm i rusteerio
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Introducing GPU Terminal. GPU Terminal monitors the pricing pages of over 100 GPU providers, and tracks price changes hourly using Context Web Monitors. Never overpay for GPUs again. Try it now at gpu.context.dev
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Meet sgrep, a fast, fully local ripgrep extension built to make agents cheaper and more accurate. on our SWE-bench Verified eval, sgrep reduced LLM API cost by 21.3% versus ripgrep, solving 70 of 100 attempts versus 68.
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On Exa's WebCode benchmark, we matched Exa Highlights' groundedness with about 20% fewer output tokens. Against Claude Code's WebFetch, we preserved more of the evidence at almost the same token count: 76% groundedness versus 50.4%. Claude's WebFetch has a webpage to summarize pages and leave out relevant details. In contrast, Context Highlights is purely extractive. Read our research: context.dev/blog/introducing… Add Highlights to an agent you're building: docs.context.dev/scrape/high… Add Highlights to your Claude Code or Codex agent: MCP setup: docs.context.dev/install-mcp
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We also compared Highlights with Zilliz's open-source semantic highlighting model, giving both the same source text from SimpleQA Verified. We were able to match its answer accuracy with 3x fewer tokens.
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Introducing Context Highlights: web extraction for agents 97% more token-efficient than Codex. Given a URL and a query, it extracts relevant passages with surrounding context to help the agent interpret them. Agents using naive fetch and scrape tools are polluting their context and multiplying costs. Compaction helps, but it's better to keep irrelevant text out of the context window in the first place.
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