scrapling-article-fetch

Extract web article text and convert it to Markdown, optionally creating a Feishu document.

4|Updated May 14, 2026
One-click install
npx skills add https://github.com/liumeixin/hermes-skills --skill scrapling-article-fetch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scrapling-article-fetch
Source: https://github.com/liumeixin/hermes-skills/tree/main/scrapling-article-fetch
Command: npx skills add https://github.com/liumeixin/hermes-skills --skill scrapling-article-fetch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scrapling[fetchers], html2text, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of extracting text from web articles and converting them into Markdown, enabling quick and easy documentation creation from web sources.

Core Features & Use Cases

  • Web Scraping: Extracts text from specified URLs, including images and other multimedia.
  • Markdown Conversion: Converts scraped text into Markdown format, suitable for documentation or other Markdown-supported platforms.
  • Document Creation: Automatically creates documents on platforms like Feishu from scraped content.
  • Use Case: For someone needing to quickly gather information from multiple web articles and compile it into a single, readable document for reference.

Quick Start

Use the 'scrapling-article-fetch' skill to fetch and convert the content of this article: [article URL].

Frequently Asked Questions about scrapling-article-fetch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert web article content to Markdown automatically?

Yes, you can create Feishu documents from web links by scraping the URL and converting the text to Markdown. The Skill uses Feishu OpenAPI access to automatically generate the document from the extracted article content.

What Python environment do I need for web scraping with scrapling?

For web scraping with scrapling, you need Python 3.10 or higher. The environment must also include the scrapling fetchers, html2text, and requests dependencies to successfully extract URLs and convert them to Markdown.

What's the best way to aggregate content from multiple web articles into a single document?

The best way to aggregate content from multiple web articles is using a scraping tool that extracts text and converts it to Markdown. This Skill compiles extracted web sources into a readable Markdown document, ideal for reference and documentation workflows.

Does web scraping with html2text extract images and multimedia from URLs?

Web scraping with html2text extracts text from specified URLs, including images and other multimedia found in the article. The content is then converted into Markdown format, ensuring multimedia references are preserved in the output.

Why does article scraping fail to create a Feishu document?

Article scraping fails to create a Feishu document if the required OpenAPI access to Feishu is not configured. You must ensure Feishu API credentials are valid and the Python dependencies are correctly installed.