← 返回 Skills 市场
jllyzzd2023

Scrapling Web Fetch

作者 晨冬 · GitHub ↗ · v1.0.2
cross-platform ⚠ suspicious
947
总下载
1
收藏
10
当前安装
3
版本数
在 OpenClaw 中安装
/install scrapling-web-fetch
功能描述
使用 Scrapling + html2text 获取现代网页正文内容,支持微信公众号文章抓取与尾部噪音清洗,减少无用信息与 token 消耗;适合抓取博客、新闻、公告及许多普通 fetch 不稳定、存在反爬或动态渲染干扰的网页。Supports WeChat article cleanup, markdown...
安全使用建议
This skill appears to do what it says: fetch pages, extract body text, convert to Markdown, and clean WeChat noise. Before installing or running it, review the PyPI package 'scrapling' (and its homepage/source) because the script depends on it; a malicious or overly-permissive package could perform network calls or execute code. Run pip installs in a virtualenv or sandbox, inspect installed package source, and avoid passing sensitive local file paths to --batch or --selectors (the script will read those files). If you need stronger assurance, ask for the 'scrapling' package source or use an alternative extractor implemented with well-known libraries (requests + readability / newspaper / browser automation) whose behavior you can audit.
功能分析
Type: OpenClaw Skill Name: scrapling-web-fetch Version: 1.0.2 The skill is a legitimate web content extraction tool designed to fetch and convert web pages into Markdown using the 'scrapling' and 'html2text' libraries. It features specific logic in 'scripts/scrapling_fetch.py' to clean up UI noise from WeChat articles, which helps reduce token usage for LLM processing. There is no evidence of data exfiltration, malicious execution, or prompt injection; the hardcoded file paths in 'SKILL.md' and 'usage.md' appear to be artifacts of the developer's local environment rather than malicious indicators.
能力评估
Purpose & Capability
Name/description match the code and runtime instructions: the script fetches pages, selects likely article containers, converts to Markdown, cleans WeChat noise, supports batch mode and site overrides. No unrelated credentials, binaries, or paths are required.
Instruction Scope
SKILL.md instructs running the included Python script and describes inputs/outputs. The script only reads files explicitly passed by the user (--batch, --selectors) and fetches the provided URLs. It does not attempt to read arbitrary system files or environment variables.
Install Mechanism
There is no install spec (instruction-only), which is low-risk. However the skill recommends installing two PyPI packages (scrapling, html2text) via pip. Installing unknown third-party packages can execute arbitrary code at install/run time; the package 'scrapling' is not further documented here, so evaluate that package before installing.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The script only reads user-supplied batch or selectors files and writes output to stdout/stderr as expected.
Persistence & Privilege
The skill does not request persistent or privileged presence (always:false). It does not modify other skills or system-wide configuration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install scrapling-web-fetch
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /scrapling-web-fetch 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.2
Improve storefront description to highlight WeChat article cleanup, token savings, markdown output, and support for hard-to-fetch modern pages.
v1.0.1
Fix Scrapling auto_match deprecation usage and improve release notes for WeChat cleanup, token savings, and anti-bot page support.
v1.0.0
Initial release: Scrapling + html2text web content extraction with WeChat tail noise cleanup, batch mode, selector overrides, and JSON output.
元数据
Slug scrapling-web-fetch
版本 1.0.2
许可证
累计安装 10
当前安装数 10
历史版本数 3
常见问题

Scrapling Web Fetch 是什么?

使用 Scrapling + html2text 获取现代网页正文内容,支持微信公众号文章抓取与尾部噪音清洗,减少无用信息与 token 消耗;适合抓取博客、新闻、公告及许多普通 fetch 不稳定、存在反爬或动态渲染干扰的网页。Supports WeChat article cleanup, markdown... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 947 次。

如何安装 Scrapling Web Fetch?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install scrapling-web-fetch」即可一键安装,无需额外配置。

Scrapling Web Fetch 是免费的吗?

是的,Scrapling Web Fetch 完全免费(开源免费),可自由下载、安装和使用。

Scrapling Web Fetch 支持哪些平台?

Scrapling Web Fetch 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Scrapling Web Fetch?

由 晨冬(@jllyzzd2023)开发并维护,当前版本 v1.0.2。

💬 留言讨论