Find a Zhihu explanation video by narrowing the question

Give each query one learning obstacle

If you want to understand camera depth of field, a broad photography query may be unhelpful. Put the specific concept in keyword and look for material addressing that question. Search cannot determine whether you lack a definition or practical experience. Writing one sentence about what confuses you helps identify a genuinely relevant candidate.

Preserve the retrieval scope

Use offset and limit for inspected ranges and handle search_hash_id according to its definition. Do not combine unrelated question lists merely to make the collection appear substantial. Open candidate videos and check whether they provide examples and conditions. A hypothetical clip that shows an effect without explaining its cause may be useful observation material without serving as a complete theoretical lesson.

Test your understanding through a short explanation

Your learning notes can record the source, concept understood, remaining uncertainty, and a small exercise to attempt. Explain the idea in your own words afterward and check for omitted conditions instead of merely ticking a watched box. The operation does not assess understanding or validate the video’s assertions. Keep a few sources that actually help resolve the question, and verify important technical conclusions with reliable references rather than treating search position as proof of correctness.

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_video_search_v3

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_search_v3"
params = {
    "keyword": "YOUR_KEYWORD"
}
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.