Web Archive Scraper

Web Archive Scraper

Query the public Wayback CDX API (web.archive.org/cdx/search/cdx) for archived snapshots and, on request, fetch the cached HTML and strip it to readable text. Keyless, stdlib only — no install.

When to use

• You need historical/archived versions of a page or domain.
• Recovering customer lists / testimonials / partner directories that were removed.
• Tracking a competitor's messaging change over time.

How to run

python3 ${SKILL_DIR}/scripts/wayback_scraper.py --url "<url-or-domain>" [options]

Examples

# Recover an old customers page
python3 ${SKILL_DIR}/scripts/wayback_scraper.py --url "example.com/customers" --fetch --output summary

# Track a domain's messaging across years (one snapshot/year)
python3 ${SKILL_DIR}/scripts/wayback_scraper.py --url "example.com" --match domain \
  --from 2018-01-01 --to 2023-12-31 --collapse year --limit 20

# Enumerate + dump all case-study pages under a path
python3 ${SKILL_DIR}/scripts/wayback_scraper.py --url "example.com/case-studies" \
  --match prefix --fetch-all --limit 10 --output csv

Outputs

JSON/CSV array of snapshots, each: {url, timestamp, datetime, status_code, mime_type, archive_url, raw_url, content}. content is populated only when --fetch/--fetch-all. raw_url uses the id_ modifier so fetched HTML excludes the Wayback toolbar chrome.

Credentials / env

• Required: none — the CDX API and content fetch are fully public/keyless (no paid service).
• Optional (if-set/else): SUPABASE_URL / SUPABASE_KEY — if set → Supabase persistence of recovered snapshots across runs; else → one-shot stateless extraction (the default).

Notes & edge cases

• CDX rate limit is ~15 requests/minute — the script paces fetch_all (≈4s between fetches) and backs off on 429/503. Keep --limit small before --fetch-all.
• --collapse=day avoids redundant same-day snapshots; widen for long histories.
• --match=prefix/domain can enumerate many pages — cap --limit first.
• Not all snapshots are status 200; use --status any to inspect redirects/errors over time.