Twitter Tweets Scraper (No Login Required)

Extract tweets from any public Twitter account without authentication or browser cookies. This scraper runs entirely cookieless, eliminating the risk of account bans while delivering comprehensive tweet data for competitive analysis and content strategy.

Key Features

• 🔒 Cookieless / No Login Required - Scrape tweets without Twitter credentials, avoiding rate limits and account restrictions
• 📈 Scalable Architecture - Process thousands of tweets from multiple accounts in parallel with enterprise-grade infrastructure
• ✅ Rich Tweet Data - Capture tweet text, engagement metrics (favorites, retweets, replies, bookmarks, views), timestamps, media attachments, and verified author profiles
• ⚡ Fast & Reliable - Optimized extraction engine delivers results in minutes with automatic retry logic and error handling
• 📊 Export-Ready Formats - Download data in JSON, CSV, or Excel for immediate use in analytics platforms, CRM systems, and BI tools

Use Cases

Social Media Marketers: Track competitor content strategies by analyzing tweet frequency, engagement patterns, and viral content from industry leaders to inform your own posting schedule and messaging.

Brand Analysts: Monitor brand mentions and sentiment across influential accounts to identify reputation risks, measure campaign impact, and discover partnership opportunities in real-time.

Sales Teams: Generate qualified leads by extracting tweets from decision-makers discussing pain points, budget cycles, or technology evaluations relevant to your product offering.

Inputs

Field	Type	Description
userId	String	Twitter username (without @ symbol) of the target account, e.g., "elonmusk"

Outputs

Formats: JSON, CSV, Excel

Fields:

• tweet_id - Unique identifier for the tweet
• text - Full tweet content
• created_at - Publication timestamp
• favorites - Number of likes
• retweets - Retweet count
• replies - Reply count
• bookmarks - Bookmark count
• views - Impression count
• quotes - Quote tweet count
• conversation_id - Thread identifier
• lang - Detected language
• source - Publishing platform
• entities - Hashtags, mentions, URLs, and symbols
• media - Attached images, videos, or GIFs
• author - Profile data including name, screen_name, avatar, verification status

How to Use

Step 1: Enter the target username in the userId field (e.g., "elonmusk" without the @ symbol).

Step 2: Configure your scraping parameters and run the actor.

Step 3: Download results in your preferred format (JSON, CSV, or Excel) once extraction completes.

Sample Output

{
  "tweet_id": "1856234567891234567",
  "bookmarks": 342,
  "created_at": "Wed Dec 18 09:15:22 +0000 2025",
  "favorites": 8945,
  "text": "Excited to announce our new product launch next week! Stay tuned for updates.",
  "lang": "en",
  "source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
  "views": "1245678",
  "quotes": 67,
  "entities": {
    "hashtags": ["#ProductLaunch"],
    "symbols": [],
    "timestamps": [],
    "urls": ["https://example.com/launch"],
    "user_mentions": []
  },
  "replies": 423,
  "retweets": 1256,
  "conversation_id": "1856234567891234567",
  "media": [
    {
      "type": "photo",
      "url": "https://pbs.twimg.com/media/example.jpg"
    }
  ],
  "author": {
    "rest_id": "123456789",
    "name": "Tech Innovator",
    "screen_name": "techinnovator",
    "avatar": "https://pbs.twimg.com/profile_images/example_normal.jpg",
    "blue_verified": true
  }
}

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This Twitter scraper enables seamless twitter data extraction for professionals who need to extract tweets from users at scale. Whether you're building a tweet scraper API integration, conducting lead generation from tweets, or need to export tweets for sentiment analysis, this cookieless solution delivers reliable twitter user tweets without authentication overhead.