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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchIf Meta’s Threads API keyword search returns only your own posts, the likely issue is permission: public keyword results require approval for the threads_keyword_search permission, according to a tutorial reporting its check of Meta documentation on September 29, 2026. Before approval, a Python prototype can instead fetch public Threads search pages, parse post data embedded in their HTML, and remember post codes between runs. That workaround is only a bounded sample—not an official API feature or a complete, stable feed.
Why does Threads keyword search show only your posts?
Meta provides an official GET /keyword_search endpoint. Its public request shape includes a query parameter, q, and a search-type option such as TOP; see Meta’s Threads API Postman workspace. However, Omar Eldeeb’s September 29, 2026 tutorial reports that, without App Review approval for threads_keyword_search, the endpoint searches only posts owned by the authenticated user. The tutorial quotes the rule as: “the search will be performed only on posts owned by the authenticated user.”
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That distinction matters: a working API call does not necessarily mean the app has permission to search public posts. The tutorial also reports a limit of 2,200 keyword-search queries per user in a rolling 24-hour window, with queries that return no results not counted. Treat that as the tutorial’s account of Meta documentation checked on September 29, 2026, not as an independently verified or permanent limit. Read the tutorial and its qualification.
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Official API or public search page: which route fits?
| Consideration | Official Threads API | Public-page Python workaround |
|---|---|---|
| Public keyword results | Requires approval for threads_keyword_search, according to Eldeeb’s September 29, 2026 tutorial; without it, results are limited to the authenticated user’s posts. |
Fetches publicly accessible search pages without relying on the API permission. This is a practitioner-described technique, not a Meta API feature. |
| Request and setup | Uses Meta’s Threads app and user authorization; the official workspace documents authorization and API request setup. The keyword-search request includes q and search type. See Meta’s Threads API workspace. |
Requests search-page HTML and extracts post-like data embedded in its JSON script blocks. |
| Result depth | Eldeeb reports date bounds and up to 100 results per page. These details are secondary-source claims in the cited tutorial. | The tutorial reports typically a few dozen results per view and no cursor for anonymous page browsing, so deeper paging is unavailable. |
| Reliability | Documented API contract, subject to the app’s permissions and applicable API limits. | Depends on page HTML and embedded data structure that can change and break the parser. |
| Best fit | Production or sustained monitoring that needs documented API access to public keyword results. | A prototype that needs to observe a limited sample while app review is pending, and can tolerate gaps or breakage. |
What you need before trying the API route
Meta’s getting-started material describes creating an app with the Threads use case and authorizing a user through the authorization window. Its permission details are available in a GitHub-hosted mirror of Meta’s getting-started documentation: users without a role on the app can grant permissions only after App Review and app publication. For the official API workspace and request examples, use Meta’s Threads API Postman workspace.
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If your app has not received the public-search permission, the API route is still useful for searches over the authenticated user’s own posts, but it does not substitute for public keyword access. Confirm current requirements in Meta’s documentation before building around a permission or quota, since those can change.
Monitor new public search results with Python
The page-based approach is to request more than one public search view, extract post records from embedded JSON, and merge them by each post’s code. The September 29, 2026 tutorial suggests comparing the default or relevance-oriented results with a recent-results view to widen the sample. Its example is a practitioner’s technique; the tutorial does not establish that the code was tested here or that the page structure will remain unchanged.
- Choose a search phrase. Build the public search-page request for the keyword you want to monitor. Treat any change to Threads’ page URL or response format as a possible break point.
- Fetch both views. Request the default/relevance view and the recent view for the same phrase when available. This may expose different sampled posts, but does not make the results exhaustive.
- Parse embedded data. Inspect JSON contained in the returned page’s script blocks and recursively locate objects that look like posts. Keep only records with a usable post
code, which serves as the deduplication key in the tutorial’s method. - Merge and deduplicate. Combine records from both views, retaining one record per
code. Preserve useful fields such as text, author, URL, and observed timestamp only where the page actually provides them. - Compare with local state. Save seen post codes and the latest observed timestamp between runs. Report a post as newly observed when its code is not in the saved set, then update the set and timestamp.
- Schedule recurring runs. Run the script at an interval suited to your prototype and retain enough state to prevent repeat notifications. A later run can find newly observed items in the sampled results; it cannot guarantee discovery of every post published since the prior run.
What the workaround cannot guarantee
- Complete coverage: the tutorial describes a sample, typically a few dozen posts per view, rather than a full public-post feed.
- Deep history: it reports no cursor for anonymous page results, so the technique cannot page arbitrarily far back.
- Stable parsing: embedded JSON and page structure can move or change; parsing failures should be expected and surfaced rather than silently treated as “no new posts.”
- API-equivalent reliability: page parsing is not the documented keyword-search API and should not be represented as one.
- Permission or policy assurance: the tutorial describes how to fetch and parse public pages; it does not establish Meta endorsement or legal permission for every scraping use. Review applicable terms and rules for your use case.
For a prototype, make the monitor fail visibly: log request failures and unexpected response shapes, and distinguish those errors from a successful search with no newly observed codes. If the page changes, pause alerts until parsing works again rather than presenting incomplete results as comprehensive monitoring.
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