Organise the search around what you need to explain

For an article about home networking, a concrete question is more useful than a broad technology query. Put it in keyword, then consider order, time range, and subject filters. Article search is a source-discovery step, not an assessment of an author’s expertise. Clear writing can still omit conditions or overextend a personal example.

Keep the reading conditions consistent

Use offset and limit for the range you inspect. Handle options including sort, time_interval, vertical, and search_hash_id according to their definitions. If you change conditions during research, do not describe all results as one unchanged sample. Read promising articles to check whether central claims have sources and whether device-specific experience has been generalised too broadly.

Assign sources to actual explanatory needs

For a hypothetical router-placement article, your writing sheet could contain the concept, source, useful argument, and evidence still missing. One article may help explain terminology without being suitable for direct quotation. Record when you accessed it and revisit the source before publication. The result should expose gaps in your outline and guide further verification, not assemble copied paragraphs into an apparently authoritative tutorial. Any performance claim still needs conditions that make it relevant to the reader.

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_article_search_v3

Parameter Type Required Meaning
keyword string Yes Search Keywords
offset string No Offset
limit string No Number of articles per page
show_all_topics integer No Show all topics
search_source string No Search Source
search_hash_id string No Search Hash ID
vertical string No Vertical Type
sort string No Sort
time_interval string No Time Interval
vertical_info string No Vertical Info

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_article_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

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