Context.dev

One API to scrape, enrich, and understand the web.

5.0•19 reviews•

2.4K followers

One API to scrape, enrich, and understand the web.

5.0•19 reviews•

2.4K followers

•

•

Context.dev gives your AI agents and apps real-time access to structured web data, no brittle scraping infrastructure needed. Scrape any URL as clean markdown or HTML, extract brand data (logos, colors, fonts, socials) from any domain, crawl sitemaps, resolve transaction descriptors, and more. Typed SDKs for TypeScript, Python, and Ruby. Trusted by 5,000+ businesses including Mintlify, Daily.dev, Ferndesk.com, and more. Most teams integrate in under 10 minutes.

This is the 6th launch from Context.dev. View more

Rusteerio by Context.dev

Launching today

Keep your Cheerio code. Make it faster.

Rusteerio is a Rust-powered, Cheerio-compatible HTML/XML library for Node.js. Keep the API you already know, swap one import, and process pages faster. Includes parallel batch extraction, prebuilt native binaries, and zero npm runtime dependencies.

Free

Launch tags:API•Open Source•Artificial Intelligence

Launch Team

Context.dev

Maker

📌

Hey Product Hunt! We built Rusteerio at Context.dev, and today we're open-sourcing it. We process a lot of HTML. We've always loved Cheerio's simple API, but as our workloads grew, parsing performance started becoming a bottleneck. We didn't want to rewrite everything just to make it faster. So we rebuilt the engine in Rust while keeping Cheerio's familiar JavaScript API. The results from our benchmarks: - ~4x faster parsing and extraction on 3,000 real pages with one CPU - 777 upstream Cheerio tests passing - Identical output across 5,000 pages in a separate processing benchmark - Built-in parallel extraction with native workers - Zero npm runtime dependencies We also used LLMs extensively to build it, making the initial port possible in under a day. It's free, MIT licensed, and available on npm and GitHub. We built this to solve a problem we had internally, but figured other developers might benefit from it too. Would love for you to try it on your own workloads and tell us what breaks or what we should improve. GitHub: https://github.com/context-dot-d...

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8h ago

@elymadebynormal Was the 4x on those 3,000 pages mostly the Rust parser itself or just getting around the JS overhead? And with the port done in a day using LLMs, how many of the 777 Cheerio tests were failing at first, and what did you end up fixing by hand?

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2h ago