instagram-post-comments

You scrape Instagram comments by providing a post shortcode or media ID to trigger the internal comments API, which uses cursor-based pagination to fetch all available comments. The script returns structured JSON containing text, username, timestamp, like_count, and reply_count for each comment.

Fetching Instagram comments via the internal API returns structured JSON data fields including comment text, author username, timestamp, like_count, and reply_count. These extracted fields support sentiment analysis, community management, and influencer engagement analytics.

You need to be logged into Instagram to extract comments, as the skill operates within a browser context reading data already displayed on screen. Login is required when necessary to access the internal comments API for paginated data extraction.

The best way to get all comments from a high-volume Instagram post is using cursor-based pagination via the internal comments API. This method iteratively fetches comment pages using a media ID and cursor, ensuring complete data extraction without manual scrolling.

You can use the provided Python scripts to obtain an Instagram media ID from a post shortcode. These scripts expose primitive capabilities that use the media ID to iteratively fetch paginated comments from the internal API and return structured JSON.

Limitations of scraping Instagram comments through a browser context include relying on data already displayed on screen and requiring user login when necessary. The skill operates within this context using the internal comments API, which may impose pagination or rate constraints during data extraction.