Instagram Media Comments Scraper This actor allows you to scrape comments from Instagram posts. It's useful for analyzing engagement, sentiment analysis, monitoring customer feedback, or collecting user-generated content from specific posts. ## Features - ✅ Scrape comments from Instagram posts - ✅ Support for multiple post URLs - ✅ Flexible sorting options (popular, recent, verified) - ✅ Configurable item limits per post - ✅ Structured JSON output with engagement metrics ## Input Configuration | Field | Type | Description | Required | Default | | ----------- | ------ | ----------------------------------------------------------- | -------- | ---------------- | | type | string | Must be set to media_comments | Yes | media_comments | | postUrls | array | List of Instagram post URLs to get comments from | Yes | - | | maxItem | number | Maximum number of comments to scrape per post | No | 100 | | sortOrder | enum | Sorting order for comments: popular, recent, verified | No | popular | ### Sort Order Options - popular: Comments sorted by engagement (likes and replies) - recent: Comments sorted by creation time (newest first) - verified: Comments from verified accounts prioritized ### Example Input json { "type": "media_comments", "postUrls": [ "https://www.instagram.com/p/DDPp2UWzWEm/", "https://www.instagram.com/p/CxYzAbCdEfG/", "DDPp2UWzWEm" ], "maxItem": 200, "sortOrder": "popular" } ### Supported URL Formats The actor accepts various Instagram post formats: - Full URLs: https://www.instagram.com/p/DDPp2UWzWEm/ - Short codes: DDPp2UWzWEm - Mobile URLs: https://www.instagram.com/p/DDPp2UWzWEm/?igshid=... ## Output Format The actor returns an array of comment objects with detailed information about each comment, including author details, engagement metrics, and reply threads. ### Example Output json [ { "pk": "12345678901234567890", "user_id": "987654321", "text": "Amazing post! Love this content 🔥", "type": 0, "created_at": 1699123456, "created_at_utc": 1699123456, "content_type": "comment", "status": "Active", "bit_flags": 0, "did_report_as_spam": false, "share_enabled": true, "user": { "pk": "987654321", "username": "user_example", "full_name": "Example User", "is_private": false, "profile_pic_url": "https://instagram.com/profile.jpg", "profile_pic_id": "123456789_123456789", "is_verified": false, "follow_friction_type": 0, "has_anonymous_profile_picture": false, "latest_reel_media": 0 }, "comment_like_count": 45, "comment_index": 1, "has_liked": false, "preview_child_comments": [], "child_comment_count": 0, "inline_composer_display_condition": "impression_trigger", "has_translation": false }, { "pk": "12345678901234567891", "user_id": "123456789", "text": "First! 🥇", "type": 0, "created_at": 1699123400, "created_at_utc": 1699123400, "content_type": "comment", "status": "Active", "user": { "pk": "123456789", "username": "early_commenter", "full_name": "Early Bird", "is_private": false, "profile_pic_url": "https://instagram.com/profile2.jpg", "is_verified": true, "follow_friction_type": 0 }, "comment_like_count": 12, "comment_index": 2, "has_liked": false, "preview_child_comments": [ { "pk": "12345678901234567892", "user_id": "555666777", "text": "Nice catch!", "created_at": 1699123500, "user": { "username": "replier_user", "full_name": "Reply User" }, "comment_like_count": 3 } ], "child_comment_count": 1 } ] ## Use Cases ### 1. Engagement Analysis Analyze comment sentiment and engagement patterns: json { "type": "media_comments", "postUrls": ["https://www.instagram.com/p/DDPp2UWzWEm/"], "sortOrder": "popular", "maxItem": 500 } ### 2. Customer Feedback Monitoring Monitor comments on brand posts for customer service: json { "type": "media_comments", "postUrls": [ "https://www.instagram.com/p/product-launch/", "https://www.instagram.com/p/brand-announcement/" ], "sortOrder": "recent", "maxItem": 100 } ### 3. Influencer Campaign Analysis Analyze comments on sponsored content: json { "type": "media_comments", "postUrls": [ "https://www.instagram.com/p/sponsored-post-1/", "https://www.instagram.com/p/sponsored-post-2/" ], "sortOrder": "verified", "maxItem": 300 } ### 4. Content Research Collect user reactions and feedback for content strategy: json { "type": "media_comments", "postUrls": ["DDPp2UWzWEm", "CxYzAbCdEfG"], "sortOrder": "popular", "maxItem": 200 } ## Key Output Fields | Field | Description | | ------------------------ | ----------------------------------------------- | | pk | Unique comment identifier | | text | Comment text content | | created_at | Comment creation timestamp | | user | Comment author information | | comment_like_count | Number of likes on the comment | | child_comment_count | Number of replies to this comment | | preview_child_comments | Sample of reply comments | | has_liked | Whether the current user has liked this comment | | comment_index | Position in the comment thread | ## Limitations - Only public posts and comments are accessible - Some comments may be filtered by Instagram's spam detection - Comments are fetched in real-time during actor run ## Best Practices ### 1. Reasonable Limits Set appropriate maxItem limits to balance completeness with processing time: - Small posts: 50-100 comments - Viral posts: 500-1000 comments - Analysis projects: 100-300 comments ### 2. Sort Order Selection Choose sort order based on your analysis needs: - Popular: For engagement analysis - Recent: For real-time monitoring - Verified: For credible feedback ### 3. Batch Processing Process multiple posts efficiently: json { "postUrls": ["post1", "post2", "post3"], "maxItem": 100 } ## Troubleshooting No comments returned: - Check if the post is public - Verify the URL format is correct - Ensure the post actually has comments Incomplete comment threads: - Instagram may limit reply depth in some cases - Try running with different sort orders ## Support For assistance with the Instagram Media Comments Scraper, check the actor run logs for detailed information about any issues.