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nanpaidashi

Scrapling AI

by nanpaidashi · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
264
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Install in OpenClaw
/install scrapling-ai
Description
Use Scrapling to scrape websites with adaptive parsing, Cloudflare bypass, and MCP support. Handles dynamic content, anti-bot detection, and provides clean H...
Usage Guidance
This skill appears to be a documentation/integration wrapper for the third-party 'scrapling' CLI and is internally consistent. Before installing or running: (1) verify the 'scrapling' package comes from a trusted source (check the PyPI project, maintainer, and release notes); (2) run installs in an isolated environment (virtualenv/container) if you have security concerns; (3) be aware that features which 'bypass Cloudflare/captcha' can be used to evade protections — ensure you have legal permission to scrape target sites and respect robots.txt and rate limits; (4) if you start the MCP server, ensure it is bound only to localhost or otherwise secured to avoid exposing a local scraping control endpoint to untrusted networks; (5) consider auditing the installed package code if you plan to use it in sensitive environments.
Capability Analysis
Type: OpenClaw Skill Name: scrapling-ai Version: 1.0.0 The skill bundle provides instructions and installation steps for the legitimate 'scrapling' web scraping library. It contains standard CLI usage examples for extracting web data and lacks any indicators of malicious intent, data exfiltration, or unauthorized execution in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description (web scraping with Cloudflare/captcha bypass and MCP support) align with the declared runtime requirement (the 'scrapling' CLI) and the example commands. Requiring the scrapling binary is consistent with a CLI wrapper skill.
Instruction Scope
SKILL.md contains only commands that call the scrapling CLI and instructions to start an MCP server. It does not instruct reading unrelated files or environment variables. Minor note: MCP server guidance implies opening a local server endpoint for agent integration — consider exposure if you run it on a network-accessible host.
Install Mechanism
No install spec is embedded beyond recommended 'pipx'/'pip' usage in SKILL.md; installation is expected to pull the 'scrapling' package from Python packaging (PyPI). This is standard but carries the usual moderate risk of installing third-party packages — verify the package source and review package metadata before install.
Credentials
The skill declares no environment variables, secrets, or unrelated config paths. That matches its purpose as a thin wrapper around an external CLI.
Persistence & Privilege
Flags show no always:true and agent invocation is default (allowed). The skill does not request persistent or cross-skill configuration or elevated platform privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install scrapling-ai
  3. After installation, invoke the skill by name or use /scrapling-ai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with adaptive parsing and Cloudflare bypass
Metadata
Slug scrapling-ai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Scrapling AI?

Use Scrapling to scrape websites with adaptive parsing, Cloudflare bypass, and MCP support. Handles dynamic content, anti-bot detection, and provides clean H... It is an AI Agent Skill for Claude Code / OpenClaw, with 264 downloads so far.

How do I install Scrapling AI?

Run "/install scrapling-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Scrapling AI free?

Yes, Scrapling AI is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Scrapling AI support?

Scrapling AI is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Scrapling AI?

It is built and maintained by nanpaidashi (@nanpaidashi); the current version is v1.0.0.

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