AIBot Ledger crawler log reporter
Unchecked AI scrapers consume server bandwidth, inflate egress bills, and disregard crawling boundaries without site operators knowing their true financial impact. Developers struggle to separate authentic AI crawlers from spoofed user agents inside sprawling web server access logs. The tool parses standard combined Nginx or Apache logs and Caddy JSON records, handling both plain text and gzip files. It identifies recognized AI crawlers against known signatures, tallying total request volume, bandwidth consumption, and estimated egress hosting costs. It runs Forward-Confirmed Reverse DNS lookups to identify spoofed scraper IP addresses and evaluates crawled paths against robots.txt to report policy violations. Example: Run python3 aibot_ledger_crawler_log_repor.py --help to inspect the full list of arguments. You can audit a standard web server log by running python3 aibot_ledger_crawler_log_repor.py access.log to view bot traffic and expense metrics. To inspect compressed archives while validating bot authenticity, execute python3 aibot_ledger_crawler_log_repor.py access.log.gz --verify-dns. This tool does not actively block incoming traffic or apply dynamic firewall rules to your web server.
Quick Start
Runs on Python 3.9 or newer. Check requirements.txt in the ZIP and install what it lists with pip install -r requirements.txt.
1 — Install the dependencies
pip install -r requirements.txt2 — Run it
How agents & programs use it: Install its requirements in a virtual environment; scripts and AI agents can then run it as a subprocess.
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