You want a creator to demonstrate bamboo-weaving tools. One candidate has a large following; another shows detailed making sequences. Start with the demonstration you need rather than selecting the biggest account.
Define the teaching task
Beginners may need grip, pressure and common mistakes explained, while experienced makers may care about finishing details. Verify the profile with user_id. Public information can help establish content focus, but it does not reveal private audience data or proven sales ability.
Look for relevant recent demonstrations
Retrieve the user's posts and preserve sorting and pcursor coverage. Use the single-video sharing-text lookup when detail is needed. Distinguish finished-object displays, accelerated process clips and step-by-step teaching. Clear close-ups and clear spoken explanations are separate abilities, so record them separately.
Build an evidence-based candidate table
Include creator source, relevant examples, explanation method, visibility of tool use, fit for the task and questions to ask. A note might say that edge finishing is visible but beginner-error instruction still needs discussion. This is an observation format, not a completed collaboration result. Record only available metrics with their lookup date.
Resolve the practical conditions in conversation
Ask about experience with comparable tools, ability to explain limitations and materials needed for a sample. Contact and publication are not automatically performed by these queries. AI may organize notes but cannot invent prices, audience characteristics or sales promises. Deliver a shortlist with a suitable task for each candidate and clearly identified evidence gaps.
Requests used in this project
- Fetch user info：https://api.trmesh.com/openapi/api/v1/kuaishou/web/fetch_user_info · Documentation
- User video list V2：https://api.trmesh.com/openapi/api/v1/kuaishou/app/fetch_user_post_v2 · Documentation
- Get single video data V1：https://api.trmesh.com/openapi/api/v1/kuaishou/web/fetch_one_video · Documentation
Request URL and parameters
GET https://api.trmesh.com/openapi/api/v1/kuaishou/web/fetch_user_info
| Parameter | Type | Required | Meaning |
|---|---|---|---|
user_id |
string | Yes |
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/kuaishou/web/fetch_user_info"
params = {
"user_id": "3xz63mn6fngqtiq"
}
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
API calls use your TRMesh account allowance. Check the endpoint price before running a script.
