Xiaohongshu home feed

Returns notes from the Xiaohongshu home feed, either the general recommendation stream or a specific channel. Useful for sampling what the platform is pushing to users in a category right now.

What you get

• Note IDs and titles
• Note type (image or video)
• Cover image
• Author name and user ID
• Like count per note
• Paging value for the next page

What it can do

• Read the general recommendation feed or a single channel
• Limit results to image notes only
• Set how many notes come back per call, up to 40
• Page through the feed for a larger sample

Limits

• Each call returns one page of up to 40 notes; for the next page pass the cursor_score value from the previous result's page object
• Feed content is recommendation-based and varies between requests
• Channel IDs come from the home feed categories source
• Only publicly visible data

Input options

Example

Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_xiaohongshu_d directly through the REST API or MCP with an input like this:

{
  "category": "homefeed_recommend",
  "need_filter_image": false,
  "num": 20
}

How to use it

1. Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
2. Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server https://prolevelmax.com/mcp or call the REST API.
3. Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.

FAQ

More Xiaohongshu sources

All Xiaohongshu sources and prices