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PeterYang888PeterYang888/claude-skills/data-scraper-agent/SKILL.md

data-scraper-agent

Skill0 starsChanged 6 months agoNo licenceView on GitHub

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.

  • Reads credentials
  • Installs packages
  • Commits and pushes

18 other projects use a version of this, 10 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use make-interfaces-feel-better and pdf.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • studio-lgtmSkill

    make-interfaces-feel-better

    Apply design engineering best practices to polish UI components - use when reviewing or improving interfaces, animations, typography, or interaction details.

    Also in 3 projects that use this

  • AnthropicSkill

    pdf

    Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

4 rules. 2 are common, 1 is distinctive, and 1 is very specific to this project.

  • 2

    Common

    Most of the 10 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

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  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

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