Overview
FriendlyCrawler is an AI training crawler from Unknown used for AI model training, dataset discovery, and collection of public web content for model-development pipelines.
Its primary user-agent pattern is FriendlyCrawler.
FriendlyCrawler is not independently verified with Low confidence. The identity type is Observed, and the evidence basis is observed traffic patterns and user-agent evidence.
Robots.txt behavior is not currently confirmed.
FriendlyCrawler should be handled according to the site owner’s AI crawler policy, with allow, block, or rate-limit rules applied deliberately.
Identity
- User-Agent Pattern
-
FriendlyCrawler - Robots Token
- FriendlyCrawler
- Identity Type
- Observed
- Evidence 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.
Classification
- Type
- AI
- Kind
- Crawler
- Family
- FriendlyCrawler
- Purpose
- AI training
Behavior and handling
- Common Use
- FriendlyCrawler is used for AI model training, dataset discovery, and collection of public web content for model-development pipelines.
- Detection Notes
- 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.
- Respects robots.txt
- Unknown
- Spoofing Risk
- FriendlyCrawler has high spoofing risk because the pattern is low-confidence or observation-based; do not trust the user-agent by itself.
- Risk
- Neutral
- Recommended Handling
- Depends
Rules and controls
- Robots.txt Snippet
-
# robots.txt behavior is unconfirmed. Do not rely on this rule without verification.