A small agricultural machine is difficult to start, and you want explanations of similar symptoms. Searching only for repairs produces many unrelated devices and superficially similar procedures. Find comparable conditions before interpreting a method.
Describe the equipment and symptom
Combine the equipment type and observed behavior in keyword. Review one page before refining the wording. Avoid assuming a failed component at the outset. Save terms and lookup time, and use actual pcursor values when expanding the search.
Use details to check relevance
Retrieve promising items with share_text and inspect the original. Check the demonstrated equipment, stated model limits and preceding conditions. Mark missing context unknown. A returned video is not a diagnosis or an endorsed repair procedure for your machine.
Preserve what each example establishes
A candidate table can contain source, equipment conditions, symptom, explanation, unresolved assumptions and verification route. Separate general explanations from disassembly instructions. AI may organize references but cannot infer your fault or invent component specifications. Consolidate repeated retellings around a primary source.
Finish with clarification needs
The useful result may be knowing which model details and symptoms to provide to a qualified person, rather than obtaining an immediate fix. Define the next step as checking equipment information or the relevant manual guidance. The workflow finds material; it does not test the machine, book a repair or guarantee recovery. A small set of well-qualified references supports a better subsequent decision.
Requests used in this project
- Search video V2：https://api.trmesh.com/openapi/api/v1/kuaishou/app/search_video_v2 · Documentation
- Get single video data V1：https://api.trmesh.com/openapi/api/v1/kuaishou/web/fetch_one_video · Documentation
Request URL and parameters
GET https://api.trmesh.com/openapi/api/v1/kuaishou/app/search_video_v2
| Parameter | Type | Required | Meaning |
|---|---|---|---|
keyword |
string | Yes | |
pcursor |
string | No | Empty for first page, pass pcursor from previous response |
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/kuaishou/app/search_video_v2"
params = {
"keyword": "人工智能"
}
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.
