skills/backup/website-doc-scraper/SKILL.md
Scrapes website pages to Markdown with state management and deduplication. Supports Fast Path (single page), Layer Mode (incremental crawling), and Site Mode (full discovery).
npx skillsauth add sampx/agent-tools website-doc-scraperInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Scrapes website documentation and saves as Markdown files.
Default Output: docs/scraped/<domain>/
Before ANY batch scraping (Layer Mode or Site Mode), you MUST:
⛔ NEVER start batch scraping without user confirmation!
| Use Case | Pattern | Description |
|----------|---------|-------------|
| Docs only | ^/docs | Match paths starting with /docs |
| Chinese docs | ^/docs/zh | Match /docs/zh paths |
| English docs | ^/docs/en | Match /docs/en paths |
| Exclude blog | ^(?!/blog).* | Exclude /blog paths |
| Exclude multiple | ^(?!/blog\|/forum\|/api).* | Exclude multiple paths |
| All pages | ^.* | Or leave empty |
| Mode | Trigger | Description | |------|---------|-------------| | Fast Path | Single URL | Quick single page save | | Layer Mode | "Scrape related pages" | Layer-by-layer with confirmation | | Site Mode | "Full site", "all docs" | Complete site discovery |
Always use the largest batch size possible (recommended: 20+ URLs per batch).
Why? Tavily's behavior depends on result size:
| Result Size | Tavily Behavior | Agent Handling |
|-------------|-----------------|----------------|
| > 25k tokens | Saves to file, returns file path | ✅ Use save-batch --input-file (efficient) |
| ≤ 25k tokens | Returns JSON in response | ⚠️ Parse JSON manually (token-heavy, error-prone) |
Best Practice:
Get filename & Extract:
python ./scripts/state_manager.py get-filename --output-dir <dir> --url <url>
Then use tavily_extract(urls=[<url>], extract_depth="advanced").
Save: Write content to the full_path returned.
Ask user: "Continue scraping more pages? Choose:\n1. Layer Mode (incremental crawling)\n2. Site Mode (full site discovery)\n3. Finish"
If user chooses Layer Mode or Site Mode, import the page first:
python ./scripts/state_manager.py import-single --output-dir <dir> --url <url> --file <path>
Then follow the User Confirmation Required section above before proceeding.
⛔ Confirm URL filter with user before starting! (See "Critical: User Confirmation Required" above)
# Set path filter based on user-confirmed criteria
python ./scripts/state_manager.py set-path-filter --output-dir <dir> --pattern "<user-confirmed-pattern>"
# Verify and show to user
python ./scripts/state_manager.py stats --output-dir <dir>
For each layer N:
1. Discover Links
python ./scripts/state_manager.py get-base-url --output-dir <dir>
python ./scripts/extract_links.py <output-dir> --base-url <base_url> --include-internal --output /tmp/urls.txt
python ./scripts/state_manager.py add-urls --output-dir <dir> --urls-file /tmp/urls.txt
2. Preview & Confirm
python ./scripts/state_manager.py stats --output-dir <dir>
python ./scripts/state_manager.py preview --output-dir <dir> --size 10
⚠️ WAIT for user confirmation before scraping.
3. Batch Scrape (loop until queue empty)
# Get batch
python ./scripts/state_manager.py next-batch --output-dir <dir> --size 20
# Extract with Tavily
tavily_extract(urls=batch, extract_depth="advanced")
# Save results (choose one):
# Option A: If Tavily returns a file path
python ./scripts/state_manager.py save-batch --output-dir <dir> --input-file <file>
# Option B: If Tavily returns JSON content
# Save files directly, then mark as scraped
python ./scripts/state_manager.py mark-scraped --output-dir <dir> --urls <url1> <url2>
4. Continue: Ask "Continue to Layer N+1?" → repeat from step 1, or proceed to Link Verification.
When no new links discovered → proceed to Link Verification.
Use tavily_map for initial discovery, then iterate with Layer Mode for complete coverage.
⛔ Confirm URL filter with user before starting! (See "Critical: User Confirmation Required" above)
# Initialize
python ./scripts/state_manager.py init --output-dir <dir> --base-url <url>
# Set filter based on user-confirmed criteria
python ./scripts/state_manager.py set-path-filter --output-dir <dir> --pattern "<user-confirmed-pattern>"
# Show to user and get confirmation
python ./scripts/state_manager.py stats --output-dir <dir>
Tell the user: "✓ State manager initialized\n✓ Filter rule set: <pattern>\n\nConfirm to start site discovery?"
⛔ DO NOT proceed with site discovery until user explicitly confirms!
1. Discover via Sitemap
tavily_map(url=<base_url>, max_depth=2)
Then add discovered URLs:
python ./scripts/state_manager.py add-urls --output-dir <dir> --urls <url1> <url2> ...
2. Hybrid Iteration (recommended for complete coverage)
After scraping initial batch, extract links from scraped pages and add new URLs. Repeat until pending_urls = 0.
3. Batch Scrape: Same as Layer Mode step 3.
After scraping completes:
# Check links (Requires all pending URLs to be scraped first!)
python ./scripts/check_markdown_links.py <output-dir>
# Fix links (absolute → relative, add .md, convert in-scope external links)
python ./scripts/fix_markdown_links.py <output-dir>
# Re-verify
python ./scripts/check_markdown_links.py <output-dir>
Note:
check_markdown_links.pywill properly identify external links that are within the scraping scope. If they are already scraped,fix_markdown_links.pywill convert them to internal relative links. If they are pending, the checker will alert you.
| Command | Description |
|---------|-------------|
| get-filename | Get correct filename for URL |
| get-base-url | Get base URL from state |
| init | Initialize project state |
| add-urls | Add URLs to queue |
| next-batch | Get next batch |
| save-batch | Save Tavily results |
| mark-scraped | Mark URLs completed |
| stats | Show statistics |
| preview | Preview next batch |
| set-path-filter | ⚠️ Set path filter (REQUIRED before batch scraping!) |
For detailed arguments and state file format, see ./references/scraper-guide.md.
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