Instagram Comments Scraper ## Overview The Instagram Comments Scraper Actor is a tool designed to extract detailed comments from valid Instagram posts and reels. This actor provides a structured way to gather insights from user interactions on Instagram, making it easier to analyze engagement and sentiment. Interested in using this scraper? Get it here: Instagram Comments Scraper. ## Features - Extracts comments from specified Instagram posts and reels. - Captures user details, comment content, and engagement metrics. - Supports retrieval of replies to comments for deeper interaction analysis. - Outputs data in a structured format for easy integration with other tools. ## Output Fields | Field Name | Type | Description | |---------------------------|---------------------|-------------------------------------------------------| | url | String | The URL of the Instagram user who made the comment. | | comment_user | String | The username of the user who commented. | | comment_user_url | String | The URL of the commenter's Instagram profile. | | comment_date | DateTime | The date and time when the comment was made. | | comment | String | The content of the comment. | | likes_number | Integer | The number of likes the comment received. | | replies_number | Integer | The number of replies to the comment. | | replies | Array of Objects | List of replies to the comment, each containing user details and content. | | hashtag_comment | String or null | Any hashtags included in the comment. | | tagged_users_in_comment | Array of Strings or null | Users tagged in the comment. | | post_url | String | The URL of the Instagram post associated with the comment. | | post_user | String | The username of the user who made the post. | | comment_id | String | Unique identifier for the comment. | | post_id | String | Unique identifier for the post. | ## Possible Usage of the Actor - Social media analysis for brands to understand customer sentiment. - Research purposes to study user engagement on Instagram. - Content creation strategies based on popular comments and interactions. - Monitoring brand mentions and user feedback on posts. ## Example Output json [ { "url": "https://www.instagram.com/malermeisterandy", "comment_user": "tob***han***aft***", "comment_user_url": "https://www.instagram.com/tobis_handcraft", "comment_date": "2025-01-06T17:29:59.000Z", "comment": "Immer geil dir zu zugucken 👌", "likes_number": 1, "replies_number": 1, "replies": [ { "likes_number": 1, "reply": "@tobis_handcraft danke 🙏🏼", "reply_date": "2025-01-06T20:00:03.000Z", "reply_user": "mal***eis***and***" } ], "hashtag_comment": null, "tagged_users_in_comment": null, "post_url": "https://www.instagram.com/p/DEcw8lJNmUV", "post_user": "mal***eis***and***", "comment_id": "18060697252931840", "post_id": "3538918676490511637" } ]