web-scraping ai-agents developer-tools data-extraction

Launch HN: Context.dev (YC S26) – API to get structured data from any website

context.dev

July 9, 2026

5 min read

🔥🔥🔥🔥🔥

52/100

Summary

Context.dev provides a web scraping and crawl API that enables AI agents to extract structured data from any website using JSON schema. Mintlify utilized Context.dev to transform GitHub repository URLs into fully branded documentation sites in under 10 minutes.

Key Takeaways

Context.dev enables users to scrape, crawl, and extract structured data from any website in seconds, providing markdown, HTML, sitemaps, and brand intelligence.
The platform allows integration with a single API, reducing the need for multiple vendors and simplifying data infrastructure management.
Users can give AI agents real-time access to web pages, allowing them to retrieve current information rather than relying on outdated data.
Context.dev supports quick integration with a simple code snippet, enabling developers to start building features sooner.

Read original article

View story →

Coverage & discussions

Hacker News · context.dev

Launch HN: Context.dev (YC S26) – API to get structured data from any website ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Positive

Positives

Context.dev is a game-changer for extracting structured data; users rave about its efficiency in solving real problems quickly and effectively.
The clarity and polish of the UI impressed many, showing a genuine understanding of developer needs and a focus on user experience.
Customers have reported a dramatic drop in error rates, suggesting that this API is not just another option, but a reliable tool for data scraping.

Concerns

Some commenters are skeptical about the use of residential proxies, questioning if it's a euphemism for botnets, which raises ethical concerns about data scraping practices.
There’s uncertainty about how Context.dev differentiates itself from competitors like Firecrawl, with doubts about long-term viability and feature parity.