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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Launch Team / Built With
Firecrawl
Context.dev
@yahia_bakour3 Hey Yahia!
Awesome product, we plan to integrate it with the product we're building. Hopefully it improves our agents web capabilities :)
Cheers!
Context.dev
@ankushkun Amazing! Happy to help with the integration, my email is yahia@context.dev if you have any questions.
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@yahia_bakour3 let's goooo Yahia!
Congrats on launch #2 @yahia_bakour3 — "extract structured data into your own schema" caught my eye. I spend a lot of my time building exactly this kind of pipeline for e-commerce catalog data, so two questions from that trench:
How do you handle sites behind serious bot protection (Akamai/Kasada-tier)? Is the escalation abstracted away, or do those URLs fail with an error I can act on?
And is JS rendering on by default, or a per-request flag with its own latency + pricing cost? Recently when I looked for a solution related to it, came across this nice model from https://huggingface.co/jinaai/ReaderLM-v2 Jina AI, its really good.
Context.dev
@akbar_b Excellent question
For context (pun): I'm the founder, i also wrote 90% of the code myself, probably half of that by hand.
I built the API i always wish i had, which means
per minute rate limit, no concurrency bs
relentless focus on quality + cost efficiency
permanent backwards compatibility
Every single request is JS rendered.
1 credit = 1 successful scrape, even if we had to go to the moon to get the data.
Stealth is built in and automatic.
@yahia_bakour3 thats wonderful hear every request is JS rendered, will definetly give a strong try :)
Spent a few minutes pulling structured data from a couple of sites and it just worked, no fiddling with selectors. The brand extraction endpoint was a nice surprise, saved me wiring up a separate service.
Context.dev
@idemx532 we have a relentless focus on quality + cost efficiency.
The goal is, we're always cheaper than if you try to stitch together an in-house solution, and always higher quality than ANY other competitor.
We are 1s slower on avg than other competitors, but for the tradeoffs mentioned, it's never been a blocker.
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 🙌
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!