Twitter Comments Scraper - No Login Needed Extract Twitter post comments at scale without authentication or cookies. This scraper delivers comprehensive comment data, engagement metrics, and author profiles in seconds—perfect for sentiment analysis, competitive research, and content strategy optimization. ## Key Features 🔒 Cookieless / No Login Required - Access public Twitter comment data without authentication, cookies, or API keys. No account suspension risks or rate limit headaches. 📈 Scalable Architecture - Extract thousands of comments from viral threads with enterprise-grade infrastructure that handles high-volume data collection reliably. ✅ Rich Comment Data - Capture complete engagement metrics including likes, retweets, bookmarks, quotes, replies, views, timestamps, and conversation threads with full author profiles. ⚡ Fast & Reliable - Optimized extraction engine delivers results in minutes, not hours. Built-in retry logic ensures consistent data quality even during platform fluctuations. 📊 Export-Ready Formats - Download data instantly as JSON, CSV, or Excel. Structured output integrates seamlessly with analytics tools, CRM systems, and data warehouses. ## Use Cases Social Media Managers: Monitor brand mentions and audience reactions across Twitter threads. Track sentiment shifts in real-time to adjust campaign messaging and identify emerging trends before competitors. Market Research Analysts: Collect qualitative feedback from product launches, industry discussions, and competitor announcements. Analyze comment patterns to uncover customer pain points and feature requests. Sales Intelligence Teams: Identify high-intent prospects engaging with industry thought leaders. Build targeted outreach lists based on comment activity, follower counts, and verification status. ## Inputs | Field | Type | Description | |-------|------|-------------| | tweetId | String | The unique Twitter post ID from the URL (e.g., "1738106896777699464"). Find this in the tweet URL after /status/. | ## Outputs Formats: JSON, CSV, Excel Fields: Each comment includes: - id - Unique comment identifier - text - Full comment text content - display_text - Cleaned text without mentions/URLs - likes, retweets, bookmarks, quotes, replies - Engagement metrics - views - Impression count - created_at - Timestamp - conversation_id - Thread identifier - lang - Language code - author.name, author.screen_name, author.description - Profile details - author.blue_verified, author.sub_count - Verification and follower count - entities.hashtags, entities.user_mentions, entities.media - Structured metadata - media.photo - Attached image URLs ## How to Use Step 1: Enter the target Tweet ID in the tweetId field. Copy this from the Twitter post URL (the numeric string after /status/). Step 2: Click "Start" to begin extraction. Step 3: Download your results in JSON, CSV, or Excel format once the scraper completes. ## Sample Output json { "id": "1738107442452381976", "text": "@elonmusk Gratitude is a musk thank you Elon https://t.co/8u6rbvMYKp", "display_text": "Gratitude is a musk thank you Elon", "likes": 822, "retweets": 69, "bookmarks": 4, "quotes": 2, "replies": 152, "views": "56888", "created_at": "Fri Dec 22 08:01:21 +0000 2023", "lang": "en", "conversation_id": "1738106896777699464", "author": { "rest_id": "2800216425", "name": "THE CHELSEA FORUM", "screen_name": "TheChelseaForum", "description": "The Chelsea Forum ◇|◇ A community where all Chelsea fans call their home! 💙", "blue_verified": true, "sub_count": 259816 }, "entities": { "user_mentions": [ { "screen_name": "elonmusk", "name": "Elon Musk" } ], "media": [ { "type": "photo", "media_url_https": "https://pbs.twimg.com/media/GB7_erDWsAAeTs2.jpg" } ] } } --- Whether you need a post comments scraper for Twitter, a social media comments extractor for competitive analysis, or a comment data scraping tool for social engagement analytics, this actor delivers production-ready data without the complexity of API authentication or the limitations of manual export.