Scrape Xueqiu user posts and articles into split text files.
npx skills add https://github.com/robinlllll/claude-code-skills --skill xueqiu
Please help me install this Agent Skill. Skill: xueqiu Source: https://github.com/robinlllll/claude-code-skills/tree/main/xueqiu Command: npx skills add https://github.com/robinlllll/claude-code-skills --skill xueqiu
Scrapes all posts and articles from a Xueqiu user profile and outputs split text files suitable for NotebookLM.
Run the scraper against a Xueqiu user URL to generate NotebookLM-friendly outputs.
High-intent search queries and answers about installing and using this skill.
Scraping Xueqiu posts for NotebookLM requires providing a user URL or UID to the scraper. It extracts all posts and articles, then outputs split text files specifically formatted for NotebookLM ingestion.
Yes, extracting Xueqiu articles requires Python. You must install dependencies from a requirements file and run a setup script to store cookies, ensuring reliable authenticated access during the web scraping process.
Yes, the Xueqiu scraper supports optional post-processing that adds Obsidian-ready frontmatter. This enables better organization and linking of the extracted text files within your personal knowledge base.
Yes, you can scrape Xueqiu content by providing either the full user profile URL or the numeric UID. Both methods trigger the scraper to authenticate via stored cookies and extract the user's posts.
Scraping Xueqiu requires a setup script for cookies to enable authenticated access. Xueqiu restricts content visibility for unauthenticated users, so storing session cookies ensures the scraper reliably retrieves all posts.
The best way to prepare scraped Xueqiu posts for NotebookLM is using the scraper's built-in split text file output. It optionally includes Obsidian-ready frontmatter to enable organization and linking before ingestion.
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