Search the Wayback Machine for archived versions of websites. Extract cached pages, customer lists, testimonials, and partner directories from sites that have changed or gone offline. Uses the free CDX API — no API key needed.
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Search the Wayback Machine (Internet Archive) for archived snapshots of websites. Fetch cached page content to find customer lists, testimonials, partner directories, and other information from sites that have changed or shut down.
Only dependency is requests. No API key needed.
# Find all snapshots of a URL
python3 skills/web-archive-scraper/scripts/search_archive.py \
--url "https://botkeeper.com/customers"
# Search with date range
python3 skills/web-archive-scraper/scripts/search_archive.py \
--url "https://botkeeper.com" --from 2025-01-01 --to 2026-02-01
# Search all pages under a domain (prefix match)
python3 skills/web-archive-scraper/scripts/search_archive.py \
--url "https://botkeeper.com" --match prefix --limit 50
# Fetch the actual archived page content
python3 skills/web-archive-scraper/scripts/search_archive.py \
--url "https://botkeeper.com/customers" --fetch
# Output formats
python3 skills/web-archive-scraper/scripts/search_archive.py --url URL --output json
python3 skills/web-archive-scraper/scripts/search_archive.py --url URL --output csv
python3 skills/web-archive-scraper/scripts/search_archive.py --url URL --output summary
web.archive.org/cdx/search/cdx for snapshots matching the URLid_ modifier to skip Wayback toolbar)| Flag | Default | Description |
|---|---|---|
--url | required | Target URL to search in the archive |
--match | exact | Match type: exact, prefix, host, domain |
--from | none | Start date (YYYY-MM-DD) |
--to | none | End date (YYYY-MM-DD) |
--limit | 25 | Max number of snapshots to return |
--fetch | false | Fetch and display the content of the most recent snapshot |
--fetch-all | false | Fetch content of ALL matched snapshots (use with small --limit) |
--status | 200 | HTTP status filter (set to "any" to include all) |
--output | json | Output format: json, csv, summary |
--collapse | day | Dedup level: none, day, month, year |
{
"url": "https://botkeeper.com/customers",
"timestamp": "20250915143022",
"datetime": "2025-09-15T14:30:22",
"status_code": "200",
"mime_type": "text/html",
"archive_url": "https://web.archive.org/web/20250915143022/https://botkeeper.com/customers",
"raw_url": "https://web.archive.org/web/20250915143022id_/https://botkeeper.com/customers",
"content": "..."
}
The content field is only populated when --fetch or --fetch-all is used.
Free. The Wayback Machine CDX API requires no authentication or API key. Rate limit is ~15 requests/minute.
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Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.
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Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
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For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
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The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.
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Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).
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Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
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