Context.dev
worthwhileProductUnified web context API for AI products: scrape, enrich, extract structured data, screenshots, and company info in one call.
What it is
A single HTTP API that combines web scraping (URL content, crawl), data enrichment (logos, colors, fonts, company info, transaction data), and structured extraction (custom schema output, Markdown conversion) into one endpoint. Returns LLM-ready Markdown for scraping tasks.
How it compares to the alternatives
Compared to using separate scraping libraries (e.g., Puppeteer, Playwright) plus enrichment APIs (Clearbit, Brandfetch) and custom extraction logic, Context.dev collapses three integrations into one. For simple scraping, alternatives like Firecrawl or Jina Reader might be cheaper or equally effective. The advantage is when you need multiple data types from the same URL in one response.
Devil's advocate — do you actually need this?
If you only need to scrape plain text from a few URLs, a simple fetch + regex or existing library (e.g., readability) is free and doesn't require an API key. Enrichment features (logos, colors) are often available via free or cheaper dedicated APIs. The value proposition only holds if you frequently need the full combination. It's also a paid service with rate limits, which may not beat a self-hosted solution for high-volume needs.
What would make it better
Add self-hosted option for high-volume or privacy-sensitive users. Provide client SDKs in multiple languages (currently just cURL). Offer a free tier with more generous rate limits for evaluation. Integrate with popular AI frameworks (LangChain, Vercel AI SDK) out of the box.
The honest case for it
For AI agents that need to understand web pages and extract specific structured data (e.g., product details, company info, transaction records) as part of a multi-step workflow, this API dramatically reduces the number of external services and custom parsing code you need to maintain. The LLM-ready Markdown output means you can pass results directly to an LLM without preprocessing.
Who it's for
Audience fit
Depth and leverage for a technical engineer who wants to understand it and level up their workflow — not just offload work.
Value for someone who wants a more capable tool without the technical depth — accessible, does-it-for-you.
Engineers get a single-API abstraction over scattered scraping, enrichment, and extraction services, reducing integration effort. Vibe coders may find it accessible but the value is in composability and schema control, which engineers leverage.