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

Introducing Batches scrape up to 100,000 URLs in a single job. Submit a list of URLs or give us one starting URL to crawl from. Choose from nine output formats for every page: HTML, Markdown, screenshots, highlights, JSON, parsed data, images, bytes, and product data. Get a webhook when it's done. One batch. Up to 100,000 URLs per batch. GO.

Useful data often lives behind a login. with browser profiles, context.dev can sign in once and reuse that session to scrape > authenticated pages > vendor dashboards > customer portals > order history > so much more your password is never stored, and the profile stays within your organization. bring the private web into your agents and workflows.

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.

Ripgrep is great at finding matches, but it has no understanding of which results are actually relevant. The result is agents get a lot of junk in their context, or even worse never see the most important code snippet. sgrep fixes this by using static embeddings to rerank search results by relevance. Everything happens locally, with a lightweight index built on the fly at query time, so there's no persistent index to maintain or rebuild as your codebase changes.