Scrape
One pass collects the technical record and the content itself.
Point at a domain. Get a workspace that thinks.
How it works
Map
A built-in model maps every page by meaning as it lands.
Ask
The crawl becomes a workspace you and your agents can query.
What the crawl becomes
The scrape stays live
Every URL lands with its technical record and the page itself. The crawl doesn't end as a spreadsheet — it becomes a workspace you can query.
Meaning arrives with it
A built-in embedding model maps pages by what they say, not their URL. No API keys — the semantic layer is part of the scrape.
Meta and technical data
Titles, descriptions, canonicals, status codes, directives — the same technical record a traditional crawler gives you.
Full link graphs
Every internal link, kept as a graph you can trace — how pages reference each other, and where the orphans are.
Embedded page content
Every page's content is embedded as it's collected, so the crawl arrives already mapped by meaning.
Markdown for agents
HTML is transformed into clean Markdown, so agents read your pages the way they read everything else.
In-body evidence
Tables, code blocks, and quotes are stored as first-class evidence — the pieces LLMs lift when they answer.
Structure signals
How well each page is organized for retrieval — the raw material for diving into LLM optimization work.
Get started
Talk to your first crawl.
Example questions include: Show me internal linking opportunities, Audit this site, Where should I start?, Find pages competing for the same intent, What changed since the last crawl?.
Crawl a site, then ask what needs attention.
free to start