For teams building agents
Give a model the page, not the page's source code
Render the page an agent needs and hand it Markdown that reads like the page looks, from your code or as MCP tools.
The problem
Your agent needs to read a supplier's product page, a competitor's pricing table, a customer's help centre. You fetch the URL and get back a document that is mostly framework: hydration payloads, inline styles, cookie banners, three navigation menus. The model spends its context window reading markup, and it still gets the price wrong, because the price arrived after the JavaScript ran and the fetch never ran any.
How domscout handles it
One POST renders the page in a real headless Chromium, lets its scripts run until the network goes quiet (up to five seconds, or longer with waitForSelector), and hands back Markdown that reads like the page looks. Headings, tables, lists, links and images with their alt text survive. Scripts, styles and hydration data do not. The same capture is available as MCP tools, so an assistant in Claude, Cursor or VS Code can open a page itself instead of being handed a scrape.
Where it shows up
- Ingestion for a RAG index that stays close to what a human reader would have seen.
- A research agent that can open a link its user pasted, rather than guessing from the URL.
- A product-catalogue sync that reads the live page instead of a stale feed.
The request
POST /screenshot. Markdown extraction is on every plan, including the free Hobby plan. Semantic snapshots and the rest of the DOM intelligence start at Pro.
Go further
Other use cases: Website change monitoring · Web archiving and evidence · Crawling a whole site · SEO regression checks · Thumbnails and link previews · PDFs from your own HTML · Structured data from web pages · Link preview checks · Responsive layout checks
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