Keep the review attached to one tutorial

After publishing a procedure, a useful follow-up can address the step viewers struggle to understand. Identify the original work with aweme_id rather than a similar video. Comments provide reading material, not an automatic judgment about the majority of viewers or proof that the tutorial caused a reported failure. Look for a specific comprehension problem worth investigating.

Preserve the region and pagination context

Use cursor, count, and current_region according to the task and record the conditions of observation. If someone says the second step does not work, return to the video and check what that step requires and whether the commenter supplied relevant conditions. Do not force emoji or jokes into a negative-feedback category, and do not translate likes into a percentage of all viewers.

Answer one question with one clearer demonstration

If several hypothetical comments ask how to secure a material, your idea card can retain the sources, conditions to confirm, and close-up you might film. Verify the issue before responding; a suggestion is not automatically the standard answer. State the reviewed range because a partial comment sample is not complete feedback. The outcome should be a clearer step, not a claim that the original tutorial failed or that the follow-up is guaranteed more views.

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/tiktok/web/fetch_post_comment

Parameter Type Required Meaning
aweme_id string Yes Video id
cursor integer No Page cursor
count integer No Number per page
current_region string No Current region

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/tiktok/web/fetch_post_comment"
params = {
    "aweme_id": "7304809083817774382"
}
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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