| name | scraper |
| description | Scrape documents from Notion, DocSend, PDFs, and other sources into local PDF files. Use when the user needs to download, archive, or convert web documents to PDF format. Supports authentication flows for protected documents and session persistence via profiles. Returns local file paths to downloaded PDFs. |
docs-scraper
CLI tool that scrapes documents from various sources into local PDF files using browser automation.
Installation
npm install -g docs-scraper
Quick start
Scrape any document URL to PDF:
docs-scraper scrape https://example.com/document
Returns local path: ~/.docs-scraper/output/1706123456-abc123.pdf
Basic scraping
Scrape with daemon (recommended, keeps browser warm):
docs-scraper scrape <url>
Scrape with named profile (for authenticated sites):
docs-scraper scrape <url> -p <profile-name>
Scrape with pre-filled data (e.g., email for DocSend):
docs-scraper scrape <url> -D email=user@example.com
Direct mode (single-shot, no daemon):
docs-scraper scrape <url> --no-daemon
Authentication workflow
When a document requires authentication (login, email verification, passcode):
-
Initial scrape returns a job ID:
docs-scraper scrape https://docsend.com/view/xxx
-
Retry with data:
docs-scraper update abc123 -D email=user@example.com
docs-scraper update abc123 -D email=user@example.com -D password=1234
Profile management
Profiles store session cookies for authenticated sites.
docs-scraper profiles list
docs-scraper profiles clear
docs-scraper scrape <url> -p myprofile
Daemon management
The daemon keeps browser instances warm for faster scraping.
docs-scraper daemon status
docs-scraper daemon start
docs-scraper daemon stop
Note: Daemon auto-starts when running scrape commands.
Cleanup
PDFs are stored in ~/.docs-scraper/output/. The daemon automatically cleans up files older than 1 hour.
Manual cleanup:
docs-scraper cleanup
docs-scraper cleanup --older-than 1h
Job management
docs-scraper jobs list
Supported sources
- Direct PDF links - Downloads PDF directly
- Notion pages - Exports Notion page to PDF
- DocSend documents - Handles DocSend viewer
- LLM fallback - Uses Claude API for any other webpage
Scraper Reference
Each scraper accepts specific -D data fields. Use the appropriate fields based on the URL type.
DirectPdfScraper
Handles: URLs ending in .pdf
Data fields: None (downloads directly)
Example:
docs-scraper scrape https://example.com/document.pdf
DocsendScraper
Handles: docsend.com/view/*, docsend.com/v/*, and subdomains (e.g., org-a.docsend.com)
URL patterns:
- Documents:
https://docsend.com/view/{id} or https://docsend.com/v/{id}
- Folders:
https://docsend.com/view/s/{id}
- Subdomains:
https://{subdomain}.docsend.com/view/{id}
Data fields:
| Field | Type | Description |
|---|
email | email | Email address for document access |
password | password | Passcode/password for protected documents |
name | text | Your name (required for NDA-gated documents) |
Examples:
docs-scraper scrape https://docsend.com/view/abc123 -D email=user@example.com
docs-scraper scrape https://docsend.com/view/abc123 -D email=user@example.com -D password=secret123
docs-scraper scrape https://docsend.com/view/abc123 -D email=user@example.com -D name="John Doe"
docs-scraper update abc123 -D email=user@example.com -D password=secret123
Notes:
- DocSend may require any combination of email, password, and name
- Folders are scraped as a table of contents PDF with document links
- The scraper auto-checks NDA checkboxes when name is provided
NotionScraper
Handles: notion.so/*, *.notion.site/*
Data fields:
| Field | Type | Description |
|---|
email | email | Notion account email |
password | password | Notion account password |
Examples:
docs-scraper scrape https://notion.so/Public-Page-abc123
docs-scraper scrape https://notion.so/Private-Page-abc123 \
-D email=user@example.com -D password=mypassword
docs-scraper scrape https://docs.company.notion.site/Page-abc123
Notes:
- Public Notion pages don't require authentication
- Toggle blocks are automatically expanded before PDF generation
- Uses session profiles to persist login across scrapes
LlmFallbackScraper
Handles: Any URL not matched by other scrapers (automatic fallback)
Data fields: Dynamic - determined by Claude analyzing the page
The LLM scraper uses Claude to analyze the page HTML and detect:
- Login forms (extracts field names dynamically)
- Cookie banners (auto-dismisses)
- Expandable content (auto-expands)
- CAPTCHAs (reports as blocked)
- Paywalls (reports as blocked)
Common dynamic fields:
| Field | Type | Description |
|---|
email | email | Login email (if detected) |
password | password | Login password (if detected) |
username | text | Username (if login uses username) |
Examples:
docs-scraper scrape https://example.com/article
docs-scraper scrape https://members.example.com/article \
-D email=user@example.com -D password=secret
docs-scraper jobs list
docs-scraper update abc123 -D username=myuser -D password=secret
Notes:
- Requires
ANTHROPIC_API_KEY environment variable
- Field names are extracted from the page's actual form fields
- Limited to 2 login attempts before failing
- CAPTCHAs require manual intervention
Data field summary
| Scraper | email | password | name | Other |
|---|
| DirectPdf | - | - | - | - |
| DocSend | ✓ | ✓ | ✓ | - |
| Notion | ✓ | ✓ | - | - |
| LLM Fallback | ✓* | ✓* | - | Dynamic* |
*Fields detected dynamically from page analysis
Environment setup (optional)
Only needed for LLM fallback scraper:
export ANTHROPIC_API_KEY=your_key
Optional browser settings:
export BROWSER_HEADLESS=true
Common patterns
Archive a Notion page:
docs-scraper scrape https://notion.so/My-Page-abc123
Download protected DocSend:
docs-scraper scrape https://docsend.com/view/xxx
docs-scraper update <job-id> -D email=user@example.com -D password=1234
Batch scraping with profiles:
docs-scraper scrape https://site.com/doc1 -p mysite
docs-scraper scrape https://site.com/doc2 -p mysite
Output
Success: Local file path (e.g., ~/.docs-scraper/output/1706123456-abc123.pdf)
Blocked: Job ID + required credential types
Troubleshooting
- Timeout:
docs-scraper daemon stop && docs-scraper daemon start
- Auth fails:
docs-scraper jobs list to check pending jobs
- Disk full:
docs-scraper cleanup to remove old PDFs