Bot intelligence record
FriendlyCrawler
Review firstFriendlyCrawler is an AI training crawler from Unknown used for AI model training, dataset discovery; it appears in server logs as `FriendlyCrawler`.
- Operator
- Unknown
- Family
- FriendlyCrawler
- Type
- Ai
- Source type
- Observed
- Last checked
- 2026-06-20
User-Agent Pattern
UnknownFriendlyCrawler
User-agent strings are identification signals, not proof of identity. Confirm important allow, block, or rate-limit decisions with logs, DNS or IP evidence, request behavior, or operator documentation when available.
Robots.txt Snippet
Click snippet to copyUser-agent: FriendlyCrawler
Disallow: /Click the snippet to copy it, or highlight the text manually.
Handling Guidance
DependsUse this record as bot intelligence, then verify the request source and behavior before allowing, blocking, or rate limiting.
FriendlyCrawler is used for AI model training, dataset discovery, and collection of public web content for model-development pipelines.
Record Details
Structured data- Operator
- Unknown
- Family
- FriendlyCrawler
- Type
- Ai
- Purpose
- Ai Training
- Identity type
- Observed
- Confidence
- Low
- Last verified
- 2026-06-20
- Last checked
- 2026-06-20
- Source type
- Observed
- Verification
- Verify FriendlyCrawler by matching `FriendlyCrawler` to Unknown evidence, then checking reverse DNS, source-network ownership, signed request data, or published crawler documentation when available.
- Spoofing risk
- FriendlyCrawler has high spoofing risk because the pattern is low-confidence or observation-based; do not trust the user-agent by itself.
Notes
- 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.
- FriendlyCrawler does not have confirmed robots.txt behavior in the available public evidence.
- FriendlyCrawler should be handled according to the site owner’s AI crawler policy, with allow, block, or rate-limit rules applied deliberately.
Evidence and Source
- 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.
- FriendlyCrawler is used for AI model training, dataset discovery, and collection of public web content for model-development pipelines.
- FriendlyCrawler has high spoofing risk because the pattern is low-confidence or observation-based; do not trust the user-agent by itself.
Monitor This Bot In Edge
Botcrawl EdgeUse Botcrawl Edge to see matching traffic, identify related datacenter activity, and create allow, block, rate-limit, or log rules across connected sites.