How to get Xiaohongshu data with an AI agent

Your product team wants to research sun protection clothing on Xiaohongshu. Begin with the Chinese search phrase 防晒衣 and use the returned note titles to choose what the team should read next

This first pass produces a reading list with original Chinese titles, English translations and links or note references. It stops at search results; the team can then choose which notes deserve a closer read

Set up https://purrkey.app/SKILL.md. Inspect Xiaohongshu note search
and its current price. Search 防晒衣 on page 1 with default ordering.
Do not fetch more pages or individual notes. Preserve the returned
note references and Chinese titles. Put English translations beside
the titles. Include dates and counts only when returned. Select notes
relevant to researching sun protection clothing and explain briefly
what to look for when reading each selected note.

Search with the Chinese product term

Use tikhub.xiaohongshu.app_v2.search_notes with keyword: 防晒衣 and page 1. Keep the default ordering for this first search

Xiaohongshu note search. Source: Purrkey tool directory, captured November 5, 2026

The tool also offers ordering, note-type and publication-time filters. If you need one, inspect its supported values rather than guessing numeric codes. Save the chosen keyword and filters with the results so the team can repeat the search

Searching the English phrase “sun protection clothing” is a separate search. It may find different material, so do not substitute it and describe the results as the same sample

Keep the Chinese title beside its translation

For each returned note, save its title and available link or identifier. Add an English translation in a separate column. Keep questions as questions and preserve words that indicate uncertainty

The search response may also contain dates or engagement counts. Include them only when present, and leave missing details blank in the reading list

Keeping the Chinese original lets a teammate check a translation before using it in a product brief. It also makes the selected note easier to recognize when they open Xiaohongshu

Choose notes for the team's reading list

Select titles relevant to the product question, then explain what the reader should look for in each note. For a title about sizing, that might be the garment model and measurements; for one about wearing comfort, the conditions under which the clothing was used

These are questions for the next reading step. A title by itself does not supply the author's measurements or test results. Open and read the selected note before writing a product conclusion from it

Keep the note reference beside the reading question. If engagement counts are available, they can help you decide which discussions to look at first, but they do not establish how common a concern is among buyers

The finished list should let a teammate open a note, recognize its title and understand why you selected it. If the first page contains little relevant material, report that before deciding whether to try a narrower keyword

Fetch another page only when you need it

The opening prompt includes one page. To continue the same search, inspect the pagination requirements and preserve search_id and search_session_id from the initial response when provided. The checked contract uses these values for subsequent pages

If the identifiers needed for pagination are missing, stop and inspect the response instead of inventing them. Retrieving an individual note is also a separate step requiring the appropriate tool; it is not included in this search-only workflow

Estimated tool cost

The note-search listing, captured November 5, 2026, shows $0.01 per call. The one-page reading list therefore has an estimated tool cost of $0.01. A second search page at the same rate adds $0.01, for a two-page estimate of $0.02

Individual-note retrieval and Agent model fees are excluded. The previously checked terms charge for a successful empty search as well, so check the current terms before running

Start with Xiaohongshu note search and the Chinese term for the product your team is researching