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Scrapling Skill for Codex

CLI-first web scraping & content extraction with optional MCP server. Use when you have target URLs and need clean, selector-based outputs (html/md/txt).

1k tokens
context cost
the whole folder, loaded on every use
2
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
2583
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/foryourhealth111-pixel/Vibe-Skills --skill scrapling

What comes with it

1 142 bytes besides the instruction
scripts/scrapling.ps1

The instruction itself

16 sections, as written by the author

Scrapling Skill (VCO)

Scrapling is a Python-based web scraping / extraction toolkit that exposes:

  • a CLI (scrapling ...) for fetching + extracting content into files
  • an optional MCP server (scrapling mcp) so an agent can call structured scraping tools

This skill is CLI-first. Prefer it when you already have URLs and need reliable, repeatable extraction (CSS selector → file).

When to use

Use scrapling when you need:

  • Extract specific parts of a web page (CSS selector / XPath) into .txt / .md / .html
  • Run repeatable scraping jobs (batch URLs with a small wrapper script)
  • Reduce token usage by extracting only the relevant DOM region before passing to the LLM
  • Provide a local MCP endpoint for scraping tools (agent → MCP → scrapling)

vs playwright

  • scrapling: best for “get URL → extract selector → write file” workflows; simpler, faster iteration
  • playwright: best for interactive UI flows (login, multi-step navigation, downloads, complex JS actions, stateful sessions)

If you must *navigate* or *click through* a UI, use playwright.

If you can directly fetch the target page and just need extraction, use scrapling.

vs search tools

  • Search tools are for discovering sources/URLs (query → result list → choose URLs).
  • scrapling is for acquisition + extraction once you already know the URL(s).

A common pipeline:

1) Search → find candidate URLs

2) Scrapling → extract focused content from chosen URLs

3) LLM → summarize / transform / analyze extracted outputs

Prerequisite check (required)

1) Python version (Scrapling requires Python >= 3.10):

python --version

2) Scrapling CLI availability:

scrapling --help

Scrapling’s CLI and MCP features are enabled via extras.

Recommended (CLI + MCP + fetchers):

python -m pip install "scrapling[ai]"

If you only want CLI fetch/extract without MCP:

python -m pip install "scrapling[fetchers]"

If you use browser-based fetchers, you may need browser binaries:

# Option A: via Scrapling helper (after install)
scrapling install

# Option B: directly via Playwright
python -m playwright install

Wrapper script (Windows convenience)

This skill ships a thin PowerShell wrapper:

  • C:/Users/羽裳/.codex/skills/scrapling/scripts/scrapling.ps1

It checks whether scrapling exists and prints install hints if missing.

Common CLI patterns

1) Extract full page body (to Markdown)

scrapling extract get "https://example.com" out.md

2) Extract a specific element (CSS selector) to text

scrapling extract get "https://example.com" out.txt --css-selector "main article"

3) Extract HTML for downstream parsing

scrapling extract get "https://example.com" out.html --css-selector "#content"

4) Use browser-backed fetcher mode (when simple GET is blocked / dynamic)

scrapling extract fetch "https://example.com" out.md --css-selector "main"

Tip: keep outputs in files and only feed the smallest relevant snippet to the LLM.

MCP server relationship (optional)

Scrapling can run as an MCP server. This is useful when:

  • the agent needs tool-style scraping calls
  • you want scraping results to be structured and deterministic

Start MCP server (stdio transport by default):

scrapling mcp

Optional: run MCP server with HTTP transport:

scrapling mcp --http --host 127.0.0.1 --port 8765

Example MCP server config snippet

{
  "servers": {
    "scrapling": {
      "mode": "stdio",
      "command": "scrapling",
      "args": ["mcp"],
      "required": false,
      "note": "Requires: python -m pip install \"scrapling[ai]\""
    }
  }
}

Safety & ops notes

  • Prefer selector-based extraction to minimize data volume.
  • Treat scraping as an external dependency: handle timeouts, retries, and failures explicitly.
  • For aggressive bot protection, consider switching fetchers or using playwright.

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How to use it

Copy the folder

Take foryourhealth111-pixel/scrapling from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.