You maintain a keyboard guide and want to notice recurring connection questions in a Reddit community. The same popular help request keeps appearing, while useful follow-up answers are easy to miss. A persistent question list is more useful than another copy of the feed.
Establish consistent observation conditions
Verify the community and retrieve its feed with consistent language, sorting and pagination coverage. Record the observation date and timezone. Scheduling must happen in your own script or workflow; the endpoint does not activate background monitoring. Treat the first observation as a baseline, not a batch of newly published posts.
Follow old questions as well as new identifiers
Save post identifiers, first observation dates and follow-up status. Compare the next feed for first-seen entries, then revisit details and comments for unresolved older posts. A new answer to an existing problem is progress on that problem. Absence from one feed page does not prove deletion.
Preserve the connection conditions
Manually record model, connection method, operating environment and attempted fixes when the source provides them. Leave missing details blank. Search for specific descriptions if needed, then inspect replies to see whether the original author confirmed a solution. A proposed fix is not the same as a resolved issue.
Notify on useful changes
A worksheet can contain source, issue category, observation state, new development and possible guide update. Notify only for relevant new questions, meaningful follow-ups or required review. Deduplication and notifications need separate implementation; AI may assist classification. The daily output should describe traceable changes rather than reproduce the feed or claim a population-wide failure rate.
Requests used in this project
- Fetch Reddit APP Subreddit Info:https://api.trmesh.com/openapi/api/v1/reddit/app/fetch_subreddit_info · Documentation
- Fetch Reddit APP Subreddit Feed:https://api.trmesh.com/openapi/api/v1/reddit/app/fetch_subreddit_feed · Documentation
- Fetch Reddit APP Dynamic Search Results:https://api.trmesh.com/openapi/api/v1/reddit/app/fetch_dynamic_search · Documentation
- Fetch Single Reddit Post Details:https://api.trmesh.com/openapi/api/v1/reddit/app/fetch_post_details · Documentation
- Fetch Reddit APP Post Comments:https://api.trmesh.com/openapi/api/v1/reddit/app/fetch_post_comments · Documentation
- Fetch Reddit APP Comment Replies (Sub-comments):https://api.trmesh.com/openapi/api/v1/reddit/app/fetch_comment_replies · Documentation
Request URL and parameters
GET https://api.trmesh.com/openapi/api/v1/reddit/app/fetch_subreddit_info
| Parameter | Type | Required | Meaning |
|---|---|---|---|
language |
string | No | Preferred response language as an IETF language tag; default: en-US |
subreddit_name |
string | No | Subreddit name |
need_format |
boolean | No | Whether to clean and format the data |
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/reddit/app/fetch_subreddit_info"
params = {
"subreddit_name": "pics",
"need_format": "false"
}
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.
