instagram-place-posts

You can fetch location-tagged Instagram posts by providing a location name, which the tool uses to locate the internal location ID and paginate through the feed. It returns a JSON payload containing media items, captions, like counts, and user metadata.

Scraping Instagram location posts outputs structured JSON items containing pk, code, media_type, taken_at, like_count, comment_count, caption, thumbnail_url, video_url, username, user_id, and location_name for downstream analytics.

Yes, you need an authenticated Instagram browser session to provide the CSRF tokens required by the internal locations API. The Python scripts use this session to fetch and serialize paginated feed results into JSON.

Yes, you can retrieve both recent and ranked posts for an Instagram venue by paginating through the location's sections feed. The tool accumulates posts using a session-based deduplication strategy across the selected tabs.

Pagination works using cursor-based traversal via next_max_id to accumulate posts from the location feed until more_available is false. A session-based deduplication strategy ensures unique media items are collected across ranked and recent tabs.

The best way to build datasets for Instagram location engagement analysis is extracting posts via the internal locations API, which outputs structured JSON with like and comment counts. This structured data streamlines monitoring trends around specific venues.