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.

📺 Video Tutorial: How it Works

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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
• author.name, author.screen_name, author.description - Profile details
• author.blue_verified, author.sub_count - Verification and follower count

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

{
  "id": "1738107442452381976",
  "text": "@elonmusk Gratitude is a musk thank you Elon [https://t.co/8u6rbvMYKp](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
  }
}