Twitter Followers Scraper (No Login Required)

Extract follower lists from any public Twitter account without authentication or cookies. This scraper enables influencers, marketers, and analysts to gather audience intelligence and identify collaboration opportunities at scale.

Key Features

🔒 Cookieless / No Login Required - Access public follower data without Twitter credentials, eliminating account suspension risks and authentication complexity.

📈 Scalable Architecture - Process thousands of followers from multiple accounts with configurable pagination controls for enterprise-grade data collection.

✅ Rich Profile Data - Capture comprehensive follower profiles including user_id, screen_name, bio descriptions, follower/following counts, verification status, profile images, account creation dates, and direct messaging availability.

⚡ Fast & Reliable - Optimized extraction engine delivers consistent performance with built-in error handling and retry logic for uninterrupted data collection.

📊 Export-Ready Formats - Download results in JSON, CSV, or Excel formats for immediate integration with CRM systems, analytics platforms, and marketing automation tools.

Use Cases

Influencer Marketing Managers: Identify high-value collaboration partners by analyzing follower overlap between competitor accounts and extracting verified users with substantial followings for outreach campaigns.

Social Media Analysts: Build demographic profiles and engagement patterns by aggregating follower data across industry leaders to inform content strategy and audience targeting decisions.

B2B Sales Teams: Generate qualified leads by extracting followers from industry thought leaders and decision-makers, enriching prospect lists with verified contact information and professional affiliations.

Inputs

Field	Type	Description
userId	String	Twitter username (without @ symbol) of the target account whose followers you want to extract (e.g., "elonmusk")

Outputs

Available Formats: JSON, CSV, Excel

Data Fields:

• user_id - Unique Twitter user identifier
• screen_name - Twitter handle/username
• name - Display name
• description - Profile bio text
• profile_image - Profile picture URL
• followers_count - Number of followers
• friends_count - Number of accounts followed
• statuses_count - Total tweets posted
• media_count - Total media items shared
• created_at - Account creation timestamp
• blue_verified - Twitter Blue verification status
• verified - Legacy verification badge status
• can_dm - Direct message availability
• location - User-specified location
• website - Profile website URL
• affiliates - Associated accounts
• business_account - Business account designation

How to Use

Step 1: Enter the target Twitter username in the userId field (without the @ symbol).

Step 2: Configure your extraction scope based on the account's follower count.

Step 3: Run the scraper and download results in your preferred format (JSON, CSV, or Excel).

Sample Output

{
  "user_id": "783214",
  "screen_name": "sarahmarketingpro",
  "name": "Sarah Chen",
  "description": "Digital Marketing Strategist | Content Creator | Helping brands grow through authentic storytelling",
  "profile_image": "https://pbs.twimg.com/profile_images/1234567890/abc123_normal.jpg",
  "statuses_count": 12847,
  "followers_count": 45230,
  "friends_count": 892,
  "media_count": 3421,
  "created_at": "Wed Mar 15 14:22:18 +0000 2012",
  "can_dm": true,
  "location": "San Francisco, CA",
  "blue_verified": true,
  "verified": false,
  "website": "https://sarahchen.co",
  "affiliates": [],
  "business_account": null
}

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