Large creators have resources you cannot easily reproduce. You would rather learn from accounts closer to your own scale. Define what smaller means and what performance you are comparing before selecting examples.

Set explicit comparison conditions

Choose a follower range, topic and publication window. These are your research criteria, not an official platform label. Search relevant notes and retrieve the appropriate details. A modest-looking cover does not prove a small account.

Check author and note information together

Record the lookup time for available follower data. A current count is not necessarily the count when the note was published, so it cannot establish a historical growth claim. Missing values are unknown, not zero. Compare only available compatible metrics without inventing views or conversions.

Study affordable explanatory choices

Read how each note introduces a problem, presents evidence and states limits. Your table can contain source, author-data date, topic, explanatory choice, technique you could try and unknown conditions. A dimension comparison image may be useful, but the sample alone does not prove it caused engagement.

Choose one feasible experiment

Apply a relevant technique using your own materials. AI can compare structures but must not reconstruct historical follower counts or promise equivalent results. Deliver a bounded reference list and a practical production plan. If no candidates meet the criteria, report that gap rather than silently changing the definition.

Requests used in this project

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/xiaohongshu/app_v2/search_notes

Parameter Type Required Meaning
keyword string Yes Search keyword
page integer No Page number, start from 1
sort_type string No Sort type
note_type string No Note type: 不限, 视频笔记, 普通笔记, 直播笔记
time_filter string No Time filter: 不限, 一天内, 一周内, 半年内
search_id string No Search ID for pagination
search_session_id string No Search session ID for pagination
source string No Source
ai_mode integer No AI mode: 0=off, 1=on

Run the Python example

Install requests and set TRMESH_API_TOKEN in your environment. Replace the sample identifiers with the public object you intend to inspect. Example IDs may no longer be available.

import os
import requests

# Read your own developer key from the server environment.
url = "https://api.trmesh.com/openapi/api/v1/xiaohongshu/app_v2/search_notes"
params = {
    "keyword": "美食推荐",
    "page": "1",
    "sort_type": "general",
    "note_type": "不限",
    "time_filter": "不限",
    "source": "explore_feed",
    "ai_mode": "0"
}
response = requests.get(
    url, params=params, timeout=30,
    headers={"Authorization": f"Bearer {os.environ['TRMESH_API_TOKEN']}"},
)
response.raise_for_status()
payload = response.json()
print(payload)  # Inspect the actual response before mapping fields

Endpoint documentation · Free profile tool

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