scrapling-web-fetch - Fetch, structure, and analyze web content
Uses Scrapling to fetch, clean, structure, analyze, and report on single or multiple web pages, including dynamically rendered or access-restricted sites.
Tags
Updated: 2026-10-19Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Fetch web pages
- Clean extracted content
- Extract structured data
- Crawl linked pages
- Handle dynamic rendering
- Load more content
- Preserve HTML evidence
- Cluster content topics
- Analyze activity trends
- Write research reports
- Record access blocks
Inputs
- Target URLs
- Site names
- Time ranges
- Cookies or tokens
- API keys
- CSS selectors
- Scroll count
- Output path
- Output format
Outputs
- Raw HTML files
- Cleaned Markdown files
- Structured JSON or CSV
- Research reports
- Evidence links
- Access status
- Uncertainty notes
Requirements
- Python 3.10+
- Scrapling package
- Scrapling browser dependencies
- Credentials for gated pages
- Permission to access target content