Readers ask where to buy materials and whether a step can be changed beneath your Kuaishou tutorial. Before filming a response, collect the first-level comments and identify the conditions people actually mention.

Anchor comments to the right work

Use the identifier of the original tutorial, not another video by the creator. Preserve the source association. A short question such as how to do this is difficult to understand without the demonstration it follows, so do not export isolated phrases without their video context.

Read the first-level sample progressively

Begin with an empty comment cursor and continue using the returned position. Record coverage and check duplicates. Missing questions do not prove that every viewer understood. First-level comments are conversation entrances; an answer may appear in replies that require separate inspection.

Convert questions into filming requirements

Distinguish material choices, movements, conditions, and result reports. When grouping similar remarks, preserve differences that require different demonstrations, such as size versus material constraints. For each supplementary shot, specify the question, the action to show, and any claim still needing verification. Commenters reveal useful needs without representing every viewer. Ground the production decision in particular sources instead of claiming to have discovered all audience problems.

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/kuaishou/web/fetch_one_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/web/fetch_one_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.