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HTML extraction with Cheerio in Node.js v1.0.0

Use this resource to extract data from an HTML document with Cheerio in Node.js

New

  • 494 downloads
  • 129 likes
  • 221 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install cheerio-html-extraction

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent writes extraction functions with Cheerio: loading HTML, CSS selectors, DOM traversal, text and attribute extraction, and processing of element lists. You get modular code that tolerates malformed HTML.

Mostly picked by

Updated November 2, 2026

Card for the “HTML extraction with Cheerio in Node.js” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: loading HTML, selectors and DOM traversal
  • SKILL.md: text, attribute and multiple element extraction

Good fit for

  • You extract a list of links from an HTML page in Node.js
  • Your script must process many pages

Not for

    Tags

    • cheerio
    • html
    • node.js

    About

    You say

    “Extract the titles and links from this list of articles with Cheerio.”

    Card for the “HTML extraction with Cheerio in Node.js” skill

    Skill published by mindrally under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to extract data from an HTML document with Cheerio in Node.js
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md8.7 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/cheerio-parsing
    Licence
    Apache-2.0

    Notice

    « cheerio-parsing » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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