Xiaohongshu Opportunity Research
why20261/xiaohongshu-opportunity-research
Agent skill that pulls public Xiaohongshu search, post, comment and creator data as JSON for research
Xiaohongshu Opportunity Research is an agent skill that pulls public Xiaohongshu search results, notes, comments and creator posts as structured JSON for topic and competitor research. It runs as Node.js scripts against a data API from guaikei.com.
What Xiaohongshu Opportunity Research does
The skill gives an agent four capabilities for researching Xiaohongshu, also known as RedNote. Keyword search returns note lists with author, like, collect and comment counts and links. Note detail returns title, body, images, engagement and author information. Comment fetching returns comments with commenters and engagement, and can drop outdated ones. Creator monitoring returns public posts, and with a limit of 0 it returns follower, like and collect totals.
Each capability is a Node.js command, such as search-cli.js, comment-cli.js and post-cli.js. Search can filter by content type, sort order, time range and count, and one run can return up to 10,000 items. The README says no Xiaohongshu login is needed and only public data is read. Write actions such as posting, liking, commenting and following are not supported. Results are saved as local logs. The README is in Chinese. Hermes appears among the repository's topics.
Key features
- Keyword search with filters for content type, sort, time range and count
- Note detail, comment and creator-post retrieval through separate CLI scripts
- Standard JSON output intended for agents to analyze
- Up to 10,000 items in one run
- No Xiaohongshu login required; public data only
- Local log archive of each run
When to use it
- Finding trending topics and high-engagement notes in a niche
- Monitoring a competitor account's recent posts and engagement
- Summarizing what users complain about by pulling a note's comments
Who it is for: Xiaohongshu content creators, marketers and analysts who want an agent to gather and summarize public platform data.
How it fits with Hermes Agent
A SKILL.md-based skill tagged hermes-skill. The README's own list of supported agents names WorkBuddy, Openclaw, QClaw, ima, Claude Code and Cursor rather than Hermes.
Requirements: Node.js and a GUAIKEI_API_TOKEN from guaikei.com, set as an environment variable
Note: The data API is provided by guaikei.com, and the README says a paid token is required.
FAQ
What is Xiaohongshu Opportunity Research?
It is an agent skill that retrieves public Xiaohongshu data, including search results, note details, comments and creator posts, as structured JSON. An agent can then analyze topics, competitors and user feedback.
Does Xiaohongshu Opportunity Research work with Hermes Agent?
The repository carries the hermes-skill topic and uses the SKILL.md format, but the README's own list of supported agents does not name Hermes.
What do I need to run Xiaohongshu Opportunity Research?
You need Node.js and a paid API token from guaikei.com, stored in the GUAIKEI_API_TOKEN environment variable. No Xiaohongshu account login is needed.
Similar skills for Hermes Agent
All skillsAgent skill that pulls public TikTok search, creator and comment data as JSON for audience research
why20261 Kuaishou Video SearchSkill that searches Kuaishou videos by keyword, monitors creators and analyzes comments, returning JSON
why20261 Xiaohongshu Note SearchNode.js skill that returns structured data on public Xiaohongshu notes, comments and creators
why20261 Douyin InsightAgent skill for pulling public Douyin video, creator, comment and hot-list data as structured JSON
true402 true402 SkillsHermes skill tap with a Base token rug-check skill that simulates buys and sells before you trade
why20261 Douyin KOL DiscoveryNode.js skill that searches Douyin videos, creator posts, comments and the hot list and returns JSON
Related guides: What is Hermes Agent? · SOUL.md for Hermes Agent: what it is and how to write one