Bring a learning direction to the list

Zhihu’s homepage video list can introduce explanations worth exploring. Begin with a direction such as basic science or everyday technology, then choose which items deserve a closer look. This is a discovery surface, not a curriculum tailored to your knowledge or a guarantee that every argument is correct. A specific learning objective helps prevent an eye-catching title from deciding the entire session.

Read a range without turning position into authority

Use offset and limit to choose the portion you inspect. Record the ranges already read so repeated viewing does not become an inflated sample count. List position is not a professional qualification score. While watching an explanation, separately note its question, supporting reasoning, and suggested references. Those interpretive steps remain your own work.

Build a path beyond the video

For a hypothetical discussion of sleep rhythms, your notes could distinguish basic concepts, evidence sources, and questions you still cannot answer. These are learning categories, not fields promised by the operation. Preserve the source link and observation date so you can return to the original lead after the list changes. Find reliable supporting material for important claims. If a video offers no basis for a conclusion, mark that conclusion for verification rather than presenting it as established knowledge merely because the video appeared in the list.

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_video_list

Parameter Type Required Meaning
offset string No Offset
limit string No Number of videos per page

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/zhihu/web/fetch_video_list"
params = {}
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.