Automate Xiaohongshu note collection and publishing
An RPA tool collects popular notes into a Feishu table, OpenClaw writes copy in batches, and xiaohongshu-mcp publishes them; author reports saving about 3 hours a day. ·
Done withOpenClaw
- What they did
- A Yingdao RPA flow runs on a schedule. It searches Xiaohongshu by keyword, skips notes already in the table, and writes note and author fields into a Feishu Bitable. OpenClaw gets the Feishu app credentials and reads the table. Using a custom Xiaohongshu copywriting skill, it analyzes the data and drafts notes. xiaohongshu-mcp, installed through OpenClaw, then publishes them.
- How it went
- The author got the full pipeline running, from collection to a published note, and says it saves 3 hours a day. The source gives no measured output figures. Some RPA fields came back empty and needed workarounds.
- Worth knowing
- The author budgets about 2 hours of uninterrupted setup. RPA does the scraping so the agent doesn't burn tokens on it.
Try it yourself with OpenClaw
Set up a weekly content pipeline for my [platform, e.g. Xiaohongshu] account about [niche]. Collect the top [number] popular notes on [keywords] into my [Feishu table / Google Sheet], then write [number] original draft posts in my voice based on them. Stop when the drafts are in the table, and show me each draft for approval before publishing anything.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
1 more account of this
Source: cloud.tencent.com · Oct 28, 2026 · Submitted by from search gap: 自媒体
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