📄 Reddit Post Scraper > 🆓 100% FREE | 💬 Full Comment Threads | 🔒 No API Key Required A detailed scraper for collecting information about specific Reddit posts and their comments with support for hierarchical reply structure. --- ## ✨ Why Choose This Scraper? - ✅ Completely Free - No hidden costs or subscriptions - ✅ No Reddit API Key Needed - Works out of the box - ✅ Full Comment Trees - Preserves reply hierarchy - ✅ Residential Proxies Included - Avoid rate limits - ✅ Rich Media Support - Images, videos, and links --- ## 🚀 Key Features - Complete Post Information: Title, author, text, media, statistics - Comment Hierarchy: Preserves reply structure and nested comments - Flexible Sorting: Various comment sorting methods - Limits: Control the number of comments to collect - Metadata: Upvotes, timestamps, authors ## 📋 Input Parameters json { "startUrls": [ "https://www.reddit.com/r/Python/comments/15t8eq0/guido_van_rossum_on_why_python_uses_0based/" ], "maxComments": 100, "skipComments": false, "sort": "confidence", "includeNSFW": true, "debugMode": false } ### Parameters: - startUrls (array, required): List of post URLs to scrape - maxComments (integer): Maximum number of comments to collect - skipComments (boolean): Skip comment collection (post only) - sort (string): Comment sorting - confidence, new, top, old, qa - includeNSFW (boolean): Process NSFW content - debugMode (boolean): Detailed logging ## 📤 Output Data ### Post Structure: json { "dataType": "post", "id": "t3_15t8eq0", "url": "https://www.reddit.com/r/Python/comments/...", "title": "Post title", "subreddit": "Python", "author": "username", "body": "Post text content", "body_html": "<div>HTML content</div>", "media": { "type": "image", "url": "https://..." }, "stats": { "upvotes": 1234, "upvote_ratio": 0.95, "comments_total": 56, "comments_scraped": 50 }, "created_utc": "1234567890", "scrapedAt": "2025-01-20T10:30:00.000Z", "comments": [...] } ### Comment Structure: json { "dataType": "comment", "id": "t1_abc123", "author": "username", "body": "Comment text", "upvotes": "42", "created_utc": "1234567890", "scrapedAt": "2025-01-20T10:30:00.000Z", "replies": [...] } ## 💡 Usage Examples ### Collect post with top 100 comments json { "startUrls": ["https://www.reddit.com/r/AskReddit/comments/xyz/..."], "maxComments": 100, "sort": "top" } ### Post information only (no comments) json { "startUrls": ["https://www.reddit.com/r/news/comments/..."], "skipComments": true } ### New comments with limit json { "startUrls": ["https://www.reddit.com/r/technology/comments/..."], "maxComments": 50, "sort": "new" } ## ⚙️ Technical Details - Memory: 256 MB (optimized for efficiency) - Proxy: Residential (automatic, included free) - Timeout: 3600 seconds - Source: old.reddit.com - Structure: Hierarchical comment tree ## 📝 Notes - Comments preserve full hierarchy (replies) - Support for various media types (images, videos, links) - Automatic handling of deleted comments - All timestamps in UTC format --- ## 🎯 Perfect For - 💬 Sentiment analysis and opinion mining - 📊 Discussion thread analysis - 🔬 Social research and studies - 🤖 Training chatbots and AI models - 📰 Content moderation and monitoring --- 💬 Questions or Issues? Feel free to reach out or check the documentation!