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Firecrawl Scrape

Checked
parcadei·vlatest·frontend·MIT

Extracts structured data from websites using Firecrawl, bypassing common anti-scraping measures.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add parcadei/continuous-claude-v3 --skill firecrawl-scrape -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

parcadei

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned parcadei/continuous-claude-v3 at d07ff4b06b.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d07ff4b06b
Manifest
.claude/skills/firecrawl-scrape/SKILL.md
Scanned
1 file, 40 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The firecrawl-scrape skill allows an AI agent to extract data from websites using a headless browser. It can navigate pages, click links, and parse HTML content to retrieve specific information based on provided selectors or patterns. This is particularly useful for gathering data that isn't easily accessible through standard APIs.

When to use it

  • Product Research: Scrape product listings (name, price, description) from e-commerce sites.
  • News Aggregation: Extract headlines and article summaries from news websites.
  • Real Estate Data: Gather property details like address, price, and square footage from real estate listing pages.
  • Competitive Analysis: Collect pricing or feature information about competitor products from their websites.

Key capabilities

  • Headless browser navigation
  • HTML parsing and data extraction
  • Selector-based data retrieval (CSS selectors)
  • Link following/pagination

Example prompts

  • "Scrape the product names and prices from [website URL] using these CSS selectors: .product-name, .price."
  • "Extract all headlines from [news website URL]."
  • "Find the address and price of properties listed on [real estate listing page URL]."

Tips & gotchas

  • Websites often change their structure, so selectors may need to be updated periodically.
  • Respect robots.txt and avoid overwhelming websites with requests.