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 2nd launch from Context.dev. View more
Context.dev
Launching today
Context.dev is the web context API for AI products and agents. Scrape any URL, crawl sites, turn pages into LLM-ready Markdown, extract structured data into your own schema, capture screenshots, and retrieve logos, colors, fonts, styleguides, company data, and transaction enrichment through one API. YC-backed, no card required, and built so developers or coding agents can integrate in minutes.
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Context.dev
@shubham4real agreed!
Nice work! The UI looks clean. I'm curious, what was the biggest challenge while building this?
Context.dev
@kian_1602 Everything. Maintaining stable infrastructure is a huge huge headache, we got it right and need to make sure we continue to deliver as we scale a ton more.
Right, I wasn't doubting the render fidelity, I meant determinism across fetches. Same URL scraped today vs next week: if the live DOM reorders a section, the markdown shape moves with it and an agent that indexed against the first shape drifts. Do you expose a content hash or a diff between fetches, so a pipeline can tell 'page actually changed' from 'page just reordered'? That's the bit that decides whether I wire it into an agent loop or keep it a one-off pull.
Context.dev
@dipankar_sarkar good point and a great idea, i will build this shortly :)
Clean markdown per URL is the right primitive, but the thing that bites agents downstream is structural stability run to run. If the same URL returns a slightly different markdown shape each fetch (nav reordered, a section collapsed), an agent parsing it breaks even though the scrape technically worked. Do you normalize to a stable structure, and how do you handle sites that serve bots different HTML than a real browser? We've had agents silently derail because the page they got back wasn't the page a human sees.
Context.dev
@dipankar_sarkar markdown is never what a human sees!
We have a near perfect browser rendering stack. You can try it yourself :)
I'm so glad I discovered Context.dev. My first task was collecting SVG logos for hundreds of brands. I tried many tools, paid and open source, and only Context.dev solved it.
Getting started with the API was easy. I especially liked the ready-made prompt for Claude Code. It took just a few minutes from registration to seeing results in my project.
Now I use Context.dev in my personal projects and recommend it to my clients when I do AI transformations of their websites. The use cases keep multiplying for me. Custom reports, logos, branded Open Graph images.
@yahia_bakour3 thank you for this service! Happy to support it 🙌
Context.dev
@zmoki SUPERB to hear, thank you!!
Propane
Awesome stuff @yahia_bakour3 !🚀
Making the swathes of data available on the web useful context is essential to the AI era, we have only had great experiences with Context!
Where do you see the puck heading in a year or so?
Context.dev
@benfleming Truly appreciated, it's been an honor to have you as a customer for so long.
The goal is simple, turn the internet into an API.
Propane
@yahia_bakour3 wishing you all the best on that journey😁 congrats on the launch!
Notra
We have been using Context.dev at Notra for a bit now and its great, much cheaper than Firecrawl which we used before and with no concurrent browser limits. The team also provides top tier support and listens to our crazy ideas! 10/10 left no crumbs
Context.dev
@dominikkoch man, i really do appreciate you. Absolute pleasure working with you and really happy you're enjoying the platform :)