Treat hot searches as prompts for investigation

A knowledge-video editor can inspect Bilibili hot searches to see which terms deserve further reading. Set limit to a manageable number for an editorial discussion. Entries may reflect news, entertainment, or a brief event. Their presence neither proves relevance to your audience nor verifies the claims surrounding them.

Translate a term into an answerable question

Suppose a hypothetical list includes an astronomical event. Questions such as where it can be observed or which conditions produce it give you a useful research direction. Consult reliable material and choose the part you can explain responsibly. Repeating a trending phrase in a title is not a finished editorial idea, and one ranking observation does not establish lasting demand. Keep the observation time and original wording so later reviewers can distinguish the initial signal from your interpretation.

Bring a shortlist with explicit decisions

Create your own worksheet of candidate terms, proposed questions, missing references, and reasons for postponement. A subject supported only by conflicting claims can remain under observation. Hot-search information is not a search-volume report, so avoid invented growth percentages and predicted viewing figures. The useful outcome is one relevant, well-supported question for your programme, not an obligation to pursue every fashionable term.

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/bilibili/web/fetch_hot_search

Parameter Type Required Meaning
limit unknown Yes Return number

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/bilibili/web/fetch_hot_search"
params = {
    "limit": "10"
}
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.