Scraper

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name: scraper description: Structured extraction and cleanup for public, user-authorized web pages. Use when the user wants to collect, clean, summarize, or transform content from accessible pages into reusable text or data. Do not use to bypass logins, paywalls, captchas, robots restrictions, or access controls. Local-only output.

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Scraper

Turn messy public pages into clean, reusable data.

Core Purpose

Scraper is a safe extraction skill for public, user-authorized pages. It helps the agent:

fetch page content from a URL

extract readable text

strip boilerplate where possible

save clean output locally

prepare content for later summarization or analysis

Safety Boundaries

Only use on public or user-authorized pages

Do not bypass logins, paywalls, captchas, robots restrictions, or rate limits

Do not request or store credentials

Do not perform stealth scraping, account creation, or identity evasion

Save outputs locally only

Runtime Requirements

Python 3 must be available as python3

No external packages required

Local Storage

All outputs are stored locally under:

~/.openclaw/workspace/memory/scraper/jobs.json

~/.openclaw/workspace/memory/scraper/output/

Key Workflows

Capture a page: fetch_page.py --url "https://example.com"

Extract readable text: extract_text.py --url "https://example.com"

Save cleaned content: save_output.py --url "https://example.com" --title "Example"

List prior jobs: list_jobs.py

Scripts

| Script | Purpose | |---|---| | init_storage.py | Initialize scraper storage | | fetch_page.py | Download a page with standard headers | | extract_text.py | Convert HTML into cleaned plain text | | save_output.py | Save extracted output and register a job | | list_jobs.py | Show past scraping jobs |