One Zhihu answer says working from home improves productivity, while another says it harms collaboration. Reading more highly endorsed answers may not resolve the conflict because the authors may describe different kinds of work.
Read the question's qualifications
Retrieve details with question_id and inspect the additional context. Is the question about individual focus, team delivery or career development? If it remains broad, state your own research scope, such as remote arrangements for a highly collaborative small team. Do not attribute that narrower scope to the original questioner.
Select different positions and evidence types
Retrieve the answer list, preserving ordering and pagination coverage. Choose substantive contrasting answers and inspect them with answer_id. Separate personal experience, cited material and inference. Use article search for related material only after checking that it addresses the same issue.
Put conditions before conclusions
A comparison table can include source, stated work conditions, conclusion, evidence and missing limitations. Leave unstated team sizes or roles unknown instead of filling them in. An independent writer discussing focus may not contradict a distributed team discussing coordination. Comments can reveal unresolved questions, but disagreement alone does not invalidate an answer.
Make a conditional decision
Collect evidence relevant to your situation and list arrangements still worth testing. AI may organize the comparison if it preserves sources and assumptions; endorsement counts should not become truth scores. You need not declare one universal winner. The useful outcome explains which approach might fit which conditions and what still needs practical verification in your own work.
Requests used in this project
- Get Zhihu Question Detail:https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_question_detail · Documentation
- Get Zhihu Question Answers:https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_question_answers · Documentation
- Get Zhihu Article Search V3:https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_article_search_v3 · Documentation
- Get Zhihu Answer Detail:https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_answer_detail · Documentation
- Get Zhihu Comment V5:https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_comment_v5 · Documentation
Request URL and parameters
GET https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_question_detail
| Parameter | Type | Required | Meaning |
|---|---|---|---|
question_id |
string | Yes | Question ID |
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_question_detail"
params = {
"question_id": "YOUR_QUESTION_ID"
}
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.