菜单
Scrape documentation content from Zoomin Software portals using Playwright browser automation to handle dynamic content loading. Use when standard web fetching (requests/BeautifulSoup) returns generic content or fails to capture the main documentation body.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/javimosch/open-claw-skills --skill zoomin-scraper命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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基于 SOC 职业分类
正在显示 SKILL.md
| name | zoomin-scraper |
| description | Scrape documentation content from Zoomin Software portals using Playwright browser automation to handle dynamic content loading. Use when standard web fetching (requests/BeautifulSoup) returns generic content or fails to capture the main documentation body. |
This skill provides a mechanism to robustly scrape content from documentation portals powered by Zoomin Software. It leverages Playwright to launch a headless Chromium browser, execute JavaScript, wait for dynamic content to load, and then extract the rendered text from the main article body.
To use this skill, you need to provide a file containing a list of URLs, one URL per line. The skill will then process each URL, saving the extracted content to a specified output directory.
This skill relies on Playwright. Before using this skill for the first time on a new system, you must manually install Playwright and its browser binaries by running the following commands in your terminal:
pip install playwright
playwright install chromium
These commands should be executed within the virtual environment you intend to use for this skill.
To run the scraper, you will invoke the run_scraper.sh script, which is located within this skill's scripts/ directory. This wrapper script will activate your specified Python virtual environment before executing the main Python Playwright script.
Parameters for run_scraper.sh:
urls_file: The path to a text file containing the URLs to scrape, one URL per line.output_directory (optional): The directory where the scraped content will be saved. If not provided, it defaults to scraped_docs_output.venv_path: The absolute path to your Python virtual environment (e.g., /home/justin/scraper/.env).Example:
Assuming your list of URLs is in path/to/urls.txt, you want to save the output to my_scraped_docs/, and your virtual environment is at path/to/my_venv:
zoomin-scraper urls_file="path/to/urls.txt" output_directory="my_scraped_docs" venv_path="path/to/my_venv"
The script will launch a headless Chromium browser, navigate to each URL, wait for the main content to load (specifically targeting <article id="zDocsContent">), and then save the extracted text. It includes a user agent to mimic a regular browser and a small delay between requests to be polite to the server.