ai-crawler-logs
Who was actually in your access log? Paste the log in whatever shape your stack emits it. Every crawler gets identified and attributed to its operator, rolled up by category, and turned into a robots.txt or an edge rule for the traffic you really received.
from ai_crawler_logs import triage
report = triage(open("access.log").read())
report["summary"]["by_operator"] # {'OpenAI': 412, 'Anthropic': 88, 'Google': 61, ...}
report["summary"]["by_category"] # {'ai-training': 500, 'ai-search': 91, ...}
report["summary"]["ai_share"] # 0.4231
report["unmatched"] # the strings nothing in the table explains
Install
pip install ai-crawler-logs
Python >= 3.8. Zero dependencies, standard library only. No network at import, no DNS ever: 150 crawler records and 8 ready-made robots.txt stances ship inside the wheel (169.6 KB), snapshot taken 2026-09-05.
It reads the log you have
Formats are detected per line, so a mixed paste works and every row reports how it was read:
| format | example |
|---|---|
| combined / common | 1.2.3.4 - - [01/Sep/2026:10:00:00 +0000] "GET / HTTP/1.1" 200 512 "-" "GPTBot/1.2" |
| JSON lines | {"remote_addr":"1.2.3.4","http_user_agent":"GPTBot/1.2","status":200} |
| Cloudflare logpush | {"ClientIP":"1.2.3.4","ClientRequestUserAgent":"GPTBot/1.2"} |
uniq -c frequency table |
412 Mozilla/5.0 (compatible; GPTBot/1.2; ...) |
| tab or comma separated | 412\tGPTBot/1.2 |
<ip> <ua> pairs |
1.2.3.4 GPTBot/1.2 |
| a bare user-agent per line | GPTBot/1.2 |
The everyday path is one shell line and no log parsing at all:
awk -F'"' '{print $6}' access.log | sort | uniq -c | sort -rn | ai-crawler-logs -
Command line
ai-crawler-logs access.log # who was in it
ai-crawler-logs access.log --ai-only # only training/search/fetch/dataset crawlers
ai-crawler-logs access.log --json # the whole report, one row per line
ai-crawler-logs access.log --robots block-ai-training
ai-crawler-logs access.log --waf nginx # apache | caddy | cloudflare | haproxy
ai-crawler-logs access.log --verify # needs ai-crawler-verify installed
ai-crawler-logs --stances # the 8 ready-made stances
$ ai-crawler-logs access.log
1284 request(s), 743 identified (41.2% AI), 96 distinct address(es)
formats: combined=1284
crawler operator category hits
GPTBot OpenAI ai-training 412
ClaudeBot Anthropic ai-training 88
PerplexityBot Perplexity ai-search 61
...
not in the table (23 distinct):
1204 Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537... browser-shaped string
31 python-requests/2.31.0 python-requests
The output you can paste
$ ai-crawler-logs access.log --robots block-ai-training
# Generated by ai-crawler-logs 1.0.1 from an access log.
# Stance: block-ai-training — ...
# Only the 6 crawler(s) that appeared in the log are named.
User-agent: GPTBot
Disallow: /
...
Only what was actually there. A robots.txt naming 150 tokens you
have never received is a file nobody will ever maintain; pass --all if you
want the whole stance anyway.
For the fetchers that will not be stopped by robots.txt at all, --waf writes
the edge rule instead:
$ ai-crawler-logs access.log --waf nginx
map $http_user_agent $ai_crawler {
default 0;
~*(GPTBot|ClaudeBot|PerplexityBot) 1;
}
if ($ai_crawler) { return 403; }
A user-agent is a claim
Everything above is a claim matched against a table. Nothing in it is proof that
the client is who it says — the string is free to type, and the busiest strings
in most logs are forged. With
ai-crawler-verify installed the
rows that carried an address get checked against the operator's own published
ranges:
pip install ai-crawler-logs[verify]
CLAIM CONTRADICTED BY ADDRESS (3):
line 88 203.0.113.9 claims GPTBot — address is in no prefix OpenAI publishes
That list is the only thing here that rests on evidence, and it can still be wrong two ways: a mirrored prefix list is up to six hours stale, and some operators route through addresses they do not publish. It is a reason to look, not a verdict about a person.
Where the data comes from
The AI Crawler Index — an independent, non-commercial public
reference. Every crawler record is checked against its operator's own published
documentation. refresh() fetches today's table from
https://www.pathwren.workers.dev/c/pypi-registry/ai-crawler-logs/data.json and caches it six hours; it is the only network
call in the package and you have to name it.
Companion packages
ai-crawler-index— what does this user-agent claim to be?ai-crawler-verify— is that claim true?ai-crawler-robots— does your robots.txt block the crawlers you think it blocks?
Licence
Code MIT. Bundled data CC0-1.0. Independent and non-commercial; not affiliated with, endorsed by or speaking for any crawler operator named in the table.
Metadata
Release files for ai-crawler-logs 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ai_crawler_logs-1.0.1.tar.gz | 46.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_crawler_logs-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 91.2 kB
Release files / ai_crawler_logs-1.0.1.tar.gz
| Download URL | ai_crawler_logs-1.0.1.tar.gz |
|---|---|
| Size | 46.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c7b7aec89af34d37730d605c6e96d9dc9517ff6c13b0edbed8924d6be99aad87
|
|
BLAKE2b-256 checksum How to use checksums |
6cdf54148d6324bcc16e4ac39b97f3076b9f57ddf3a885565924fe90f2932885
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.2
|
Release files / ai_crawler_logs-1.0.1-py3-none-any.whl
| Download URL | ai_crawler_logs-1.0.1-py3-none-any.whl |
|---|---|
| Size | 44.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c62f6b691d076b9ef828433084513f4168ab24eef5e93be34e176a6398da8153
|
|
BLAKE2b-256 checksum How to use checksums |
47a4073139d85c81d70b30337acac6494041754003167618a2fb8dd05b3f4788
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.2
|