Under a knotting tutorial, one viewer asks how the cord passes through a loop, another asks about thickness, and others simply praise the result. Decide whether the follow-up needs a close-up or a materials explanation by separating those requests.
Match comments to the correct demonstration
Retrieve comments with photo_id and use the sharing-text detail lookup when needed. Keep source and observation time. Similar finished objects may use different techniques. Check whether material information is absent or merely hard to find in the original description.
Read existing replies before adding a task
Use photo_id and root_comment_id for subcomments, retaining pcursor coverage. A suggested method does not establish that the questioner solved the problem. Separate the author's answer, another viewer's guess and a confirmed follow-up.
Plan the missing view
Group actual questions by unclear movement, material specification, length or adjustment. Useful columns include source, blocked step, existing response, footage needed and measurement to verify. Repeated questions can guide priority within the sample without implying every viewer has the same problem.
Measure before recommending quantities
Repeat the technique with your own cord before stating dimensions. AI may group comments but cannot infer precise quantities from a finished-object image. Finish with a shot list, description changes and unanswered questions. The APIs provide discussion material; editing, replying and publishing remain separate actions.
Requests used in this project
- Get single video comment data：https://api.trmesh.com/openapi/api/v1/kuaishou/app/fetch_video_comment · Documentation
- Video sub comments：https://api.trmesh.com/openapi/api/v1/kuaishou/app/fetch_video_sub_comments · 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/app/fetch_video_comment
| Parameter | Type | Required | Meaning |
|---|---|---|---|
photo_id |
string | Yes | |
pcursor |
string | No |
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/app/fetch_video_comment"
params = {
"photo_id": "3x7gxp2zhgjv832"
}
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.
