💬 Pikabu Comments Scraper This actor allows you to scrape comments from Pikabu.ru posts by providing a story URL. It automatically handles pagination and extracts comprehensive comment information including ratings, emotions, author details, and content. ## Features - URL-based Scraping: Extract comments by providing a complete Pikabu story/post URL - Automatic Pagination: Automatically loads more comments by clicking "Show More" button until reaching the end or max items limit - Comprehensive Comment Data: Extract detailed information about each comment including: - Comment content (text and HTML) - Author information (name, profile link, avatar) - Rating and voting data (pluses and minuses) - Timestamps (both human-readable and ISO format) - Comment images - Emotional reactions - Comment hierarchy (indent level) - Permalink and parent story links - Post author like status ## Input Parameters | Field | Type | Required | Description | |----------------------|---------|----------|------------------------------------------------| | searchUrl | string | Yes | Complete Pikabu story/post URL to scrape | | maxItems | integer | No | Maximum number of comments to fetch | | proxyConfiguration| object | No | Proxy settings for the actor | ### How to Get Story URL 1. Go to Pikabu.ru 2. Navigate to any story/post you want to scrape comments from 3. Copy the complete URL from your browser's address bar 4. Paste it into the searchUrl field Example story URLs: https://pikabu.ru/story/vrode_v_sude_pervoy_instantsii_otbilis_13384965 https://pikabu.ru/story/your_story_id_here ## Output The output is a dataset of comment objects, each containing: - searchUrl: The original story URL used - commentId: Unique identifier for the comment - parentStoryId: ID of the parent story/post - indent: Comment nesting level (0 for top-level comments) - authorId: Comment author's user ID - authorName: Comment author's username - authorProfileLink: Link to author's profile - authorAvatar: URL of author's avatar image - rating: Overall comment rating - ratingPluses: Number of upvotes - ratingMinuses: Number of downvotes - createdAt: Comment creation timestamp (ISO format) - createdAtHuman: Human-readable creation time - contentText: Plain text content of the comment - contentHtml: HTML content of the comment - images: Array of image URLs in the comment - permalink: Direct link to this comment - parentStoryLink: Link to the parent story - parentStoryTitle: Title of the parent story - emotions: Array of emotional reactions with counts - likedByPostAuthor: Whether the post author liked this comment - scrapedAt: Timestamp of when the comment was scraped Example output: json [ { "searchUrl": "https://pikabu.ru/story/vrode_v_sude_pervoy_instantsii_otbilis_13384965", "commentId": "373082474", "parentStoryId": "13384965", "indent": 0, "authorId": "8515591", "authorName": "user8515591", "authorProfileLink": "https://pikabu.ru/@user8515591", "authorAvatar": null, "rating": 12108, "ratingPluses": 12108, "ratingMinuses": 0, "createdAt": "2025-11-11T12:16:58+03:00", "createdAtHuman": "17 часов назад", "contentText": "Comment text here...", "contentHtml": "<p>Comment HTML here...</p>", "images": [], "permalink": "https://pikabu.ru/story/otvet_na_post_vrode_v_sude_pervoy_instantsii_otbilis_13385895", "parentStoryLink": "https://pikabu.ru/story/otvet_na_post_vrode_v_sude_pervoy_instantsii_otbilis_13385895", "parentStoryTitle": "ответный пост", "emotions": [ { "id": "6", "count": 159 }, { "id": "13", "count": 25 } ], "likedByPostAuthor": true, "scrapedAt": "2025-11-12T02:17:33.910Z" }, ... ] ## Use Cases - Social media sentiment analysis - Community engagement tracking - Content moderation research - User behavior analysis - Comment quality assessment - Viral content identification - Community trend monitoring - Author reputation tracking ## Notes - Results are automatically paginated until reaching the end or max items limit - All comments are deduplicated based on comment IDs - Results are saved incrementally as they are found - All timestamps are in ISO 8601 format - The actor handles network delays and timeouts gracefully - Comments are extracted with their full HTML formatting preserved - Emotional reactions are captured with their counts ## Limitations - Only works with Pikabu.ru story/post pages - Cannot scrape nested/reply comments that require separate loading - Some dynamic content may require additional wait time - Rate limiting may apply if scraping very large datasets - Comment images are captured as URLs only --- Start scraping comments from Pikabu.ru today!