Public Crawler Feeds
A consistent public observation surface for search and AI bots
Why these feeds exist
Scrubnet publishes authorised source-derived HTML, JSON, TXT and Markdown feeds so crawler behaviour can be observed on a consistent public surface. Stable structures, source links and timestamps make it easier to describe discovery, recrawling and request distribution across search, AI and archive bots.
Questions we observe
- Which crawlers discover feeds without direct submission?
- How quickly do bots return after a feed or source page changes?
- How are verified requests distributed across HTML, JSON, TXT and Markdown?
- How do verified and unverified crawler requests differ?
- How can observable fetch patterns inform technical SEO and GEO analysis?
Explore the data
Start with /feed/sitemap.xml to discover active feeds and their <lastmod> values.
Then use the live logs dashboard to filter requests by path,
bot, verification status and date, or compare requests by crawler and format.
Technical access
- Discovery: fetch
https://scrubnet.org/feed/sitemap.xml. - Freshness: compare
<lastmod>and re-fetch changed feeds only. - Conditional requests: send
If-Modified-SinceorIf-None-Matchwhere supported. - Formats: use the linked HTML, JSON, TXT or Markdown representation needed for your analysis.
- Provenance: retain the source URL and timestamps when analysing or citing records.
Methodological limits
Access logs confirm that a request reached a Scrubnet feed. They do not prove that content was indexed, ranked, used for model training, retrieved in an answer or cited to a user. Findings are descriptive observations from Scrubnet’s environment and do not establish why a crawler behaved in a particular way.
ScrubberDuck
ScrubberDuck/1.0 is the robots-aware, low-rate feed compiler that creates and refreshes authorised participating-site feeds. It supplies the observation surface; it is not a search engine or ranking crawler.
Research and crawler teams
To contribute a site, suggest an observational question or discuss access to supporting data, email contact@scrubnet.org.