Twitter/X Following Scraper · No Cookies

Extract complete following lists from any public Twitter profile without authentication or cookies. This scraper bypasses login requirements, making it perfect for building audience databases, identifying influencer networks, and discovering collaboration opportunities at scale.

📺 Video Tutorial: How it Works

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Inputs

Field	Type	Description
userId	String	The Twitter username to extract followings from (e.g., "elonmusk"). Do not include the @ symbol.

Outputs

Formats: JSON, CSV, Excel

Fields: Each following profile includes:

• user_id - Unique Twitter user identifier
• screen_name - Twitter handle (username)
• name - Display name
• description - Profile bio text
• profile_image - Profile picture URL
• statuses_count - Total number of tweets
• followers_count - Number of followers
• friends_count - Number of accounts following
• media_count - Total media items posted
• created_at - Account creation timestamp

Sample Output

[
  {
    "user_id": "44196397",
    "screen_name": "elonmusk",
    "name": "Elon Musk",
    "description": "Tesla, SpaceX, Neuralink, xAI",
    "profile_image": "https://pbs.twimg.com/profile_images/1815749056821346304/jS8I28PL_normal.jpg",
    "statuses_count": 52847,
    "followers_count": 210458392,
    "friends_count": 856,
    "media_count": 4521,
    "created_at": "Tue Jun 02 20:12:29 +0000 2009"
  }
]

How to Use

Step 1: Enter the target username in the userId field (e.g., "elonmusk").

Step 2: Configure your extraction scope. The scraper will retrieve all available followings from the specified profile.

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

Key Features

🔒 Cookieless / No Login Required - Extract following data without Twitter credentials or session management. No risk of account suspension or rate limiting tied to your personal account.

📈 Scalable Architecture - Process multiple profiles and extract thousands of followings efficiently with built-in pagination and retry logic.

✅ Rich Profile Data - Capture comprehensive user information including user_id, screen_name, name, description, profile_image, followers_count, friends_count, statuses_count, media_count, and account creation date.

⚡ Fast & Reliable - Optimized scraping engine delivers results quickly while maintaining stability across high-volume extraction jobs.

📊 Export-Ready Formats - Download your data instantly in JSON, CSV, or Excel formats for immediate use in CRM systems, analytics tools, or marketing platforms.

Use Cases

Influencer Marketing Manager: Identify potential brand ambassadors by analyzing who industry leaders follow. Build targeted outreach lists by extracting followings from competitor accounts and top influencers in your niche.

Social Media Analyst: Map influencer networks and community structures by examining following patterns. Discover emerging voices and trending accounts within specific industries or interest groups.

Business Development Representative: Generate qualified leads by extracting followings from decision-makers and industry thought leaders. Build prospecting lists of professionals who follow relevant accounts in your target market.

🧩 Other Twitter/X Actors by Data Slayer

Actor	What it does	Link
Twitter Tweets Scraper	Extract tweets from any Twitter/X account	Try it
Twitter Comments Scraper	Extract replies from any tweet	Try it
Twitter Followers Scraper	Extract follower lists from any account	Try it
Twitter Profile Scraper	Get detailed profile data by username	Try it
Twitter/X Search Scraper	Search tweets by keyword or hashtag	Try it
Twitter List Members Scraper	Extract members from any Twitter list	Try it
Twitter Community Members Scraper	Extract members from any Twitter community	Try it
Twitter Trends Scraper	Get trending topics by location	Try it

Need verified emails? Our LinkedIn Post Engagers Email Finder and LinkedIn Audience Email Finder extract verified work emails from LinkedIn engagement data.

💬 Feedback and Support

We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features:

• Create an issue on the Actor's Issues tab in Apify Console
• Rate the actor if it helped you — it helps others find it too

We typically respond within 24 hours.

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