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Crawler

Crawler for probing popular domains for machine-readable, callable, commerce, and payment surfaces.

The crawler reads a ranked domain CSV, writes compact receipt shards for every crawled domain, and writes expanded JSON/evidence only for domains with interesting signals.

Requirements

  • Python 3.10 or newer
  • curl and unzip to fetch the Tranco input list

The crawler uses only the Python standard library.

Download the Tranco top 1M

Download the latest standard Tranco list from the permanent URL documented at https://tranco-list.eu/:

curl -L -o top-1m.csv.zip https://tranco-list.eu/top-1m.csv.zip
unzip -p top-1m.csv.zip top-1m.csv > top-1m.csv
rm top-1m.csv.zip

The resulting top-1m.csv file is ignored by git.

Run a crawl

Run a small smoke crawl first:

python3 concurrent_crawl.py --csv ./top-1m.csv --limit 100 --concurrency 8

Run the full crawl:

python3 concurrent_crawl.py --csv ./top-1m.csv --results-dir ./results --concurrency 24

By default, the crawler resumes from results/checkpoint.json. Use --no-resume to start reading the CSV from the beginning while appending new receipt rows.

Useful options:

python3 concurrent_crawl.py --help

Outputs

  • results/receipts/receipt-*.ndjson: one compact receipt per crawled domain
  • results/positives/*.json: expanded receipts for domains with interesting signals
  • results/evidence/<domain>/: selected raw evidence for interesting domains
  • results/checkpoint.json: resume state

results*/ directories are ignored by git.

Export public artifacts

After a crawl, build the compact public export:

python3 export_public.py --results-dir ./results --output-dir ./results/exports/public --clean

Build a targeted rerun slice

Create a smaller CSV from prior receipt shards:

python3 build_rerun_slice.py --results-dir ./results --csv ./top-1m.csv --output ./rerun.csv
python3 concurrent_crawl.py --csv ./rerun.csv --results-dir ./results-rerun

Generated rerun*.csv files are ignored by git.