FriendlyCrawler
ReviewFriendlyCrawler is an AI training crawler from Unknown used for AI model training, dataset discovery.
User-Agent
FriendlyCrawlerUser-agent strings are identity signals, not proof of identity. Confirm the source and behavior before trusting a request.
Verification and Detection
Verification method: Verify FriendlyCrawler by matching `FriendlyCrawler` to Unknown evidence, then checking reverse DNS, source-network ownership, signed request data, or published crawler documentation when available.
FriendlyCrawler traffic is primarily detected by the `FriendlyCrawler` user-agent pattern. Compare source IPs, reverse DNS, request paths, and crawl cadence with Unknown infrastructure before trusting the traffic.
Handling Guidance
Use this record as identity context. Verify the request source, behavior, and relevance to your site before allowing or restricting traffic.
FriendlyCrawler is used for AI model training, dataset discovery, and collection of public web content for model-development pipelines.
Record Details
- Type
- ai
- Operator
- Unknown
- Family
- FriendlyCrawler
- Kind
- Crawler
- Purpose
- Ai Training
- Identity
- Observed
- Detection confidence
- Low
- Spoofing risk
- FriendlyCrawler Has High Spoofing Risk Because The Pattern Is Low Confidence Or Observation Based; Do Not Trust The User Agent By Itself.
- Status
- Active
- Respects robots.txt
- Unknown
- Last verified
- 2026 06 20
Robots.txt Snippet
User-agent: FriendlyCrawler
Disallow: /