sickn33/agentic-awesome-skills

firecrawl-scraper

Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API. Use when you need deep content extraction from web pages, page interaction is required (clicking, scrolling, etc.), or you want screenshots or PDF parsing.

First seen Jan 25, 2026

Installation

$ npx skills add sickn33/agentic-awesome-skills --skill firecrawl-scraper

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 46.2K
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,548 B
  • docs SUMMARY.md 264 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 520 installs

SKILL.md

firecrawl-scraper

Overview

Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API

When to Use

  • When you need deep content extraction from web pages
  • When page interaction is required (clicking, scrolling, etc.)
  • When you want screenshots or PDF parsing
  • When batch scraping multiple URLs

Installation

npx skills add -g BenedictKing/firecrawl-scraper

Step-by-Step Guide

  1. Install the skill using the command above
  2. Configure Firecrawl API key
  3. Use naturally in Claude Code conversations

Examples

See GitHub Repository for examples.

Best Practices

  • Configure API keys via environment variables

Troubleshooting

See the GitHub repository for troubleshooting guides.

Related Skills

  • context7-auto-research, tavily-web, exa-search, codex-review

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.