Twitter (X) Followings Scraper - No Login Required

What does this scraper do?

This actor extracts the accounts followed by any public Twitter user using their username.

Enter a username, run the actor, and receive structured profile data for all accounts that the user follows.

The output includes profile metadata such as usernames, bios, follower counts, tweet statistics, and account creation dates.

No Twitter login, no cookies, and no session management required.

Cookieless architecture ensures reliable and scalable data extraction without authentication risks.

Why scrape Twitter followings?

Twitter followings reveal network relationships, influence circles, and industry connections. This makes them useful for:

• Identifying influencer networks
• Discovering emerging industry voices
• Mapping professional communities
• Building targeted prospect lists
• Analyzing competitor partnerships
• Finding potential collaborators
• Enriching CRM systems with social profiles

By analyzing who influential accounts follow, businesses can uncover valuable opportunities and audience insights.

How much will scraping cost?

The pricing for this actor is $2.50 per 1,000 scraped results. Refer to the pricing page.

Since the scraper operates without authentication or API limits, it offers stable and predictable performance for large-scale data extraction.

How to use the scraper

Here is a step-by-step guide:

Step 1: Enter the username:
Input the target Twitter handle in the userId field without the @ symbol.

Example:

elonmusk

Step 2: Configure extraction scope:
Adjust pagination or result limits depending on how many followings you want to extract.

Step 3: Start the run:
Click Start to begin extraction. The actor will retrieve publicly available profiles followed by the target user.

Step 4: Export or integrate:
Download results in JSON, CSV, or Excel format, or connect via API to your analytics or CRM systems.

Input parameters

Input example

{
  "userId": "elonmusk",
  "maxPages": 10
}

Field	Type	Description
userId	String	Twitter username without the @ symbol
maxPages	Number	Number of pages of followings to extract

What data does this scraper extract?

Formats: JSON, CSV, Excel

Each following profile includes:

• user_id - Unique Twitter user identifier
• screen_name - Twitter username/handle
• 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 followed
• media_count - Total media items shared
• created_at - Account creation timestamp

All data is returned in structured JSON format suitable for analytics, CRM enrichment, and influencer marketing research.

Sample Output

[
  {
    "user_id": "44196397",
    "screen_name": "elonmusk",
    "name": "Elon Musk",
    "description": "Tesla, SpaceX, Neuralink, xAI",
    "profile_image": "https://pbs.twimg.com/profile_images/example.jpg",
    "statuses_count": 52847,
    "followers_count": 210458392,
    "friends_count": 856,
    "media_count": 4521,
    "created_at": "Tue Jun 02 20:12:29 +0000 2009"
  },
  {
    "user_id": "813286",
    "screen_name": "BarackObama",
    "name": "Barack Obama",
    "description": "Dad, husband, President, citizen.",
    "profile_image": "https://pbs.twimg.com/profile_images/example2.jpg",
    "statuses_count": 17943,
    "followers_count": 131847205,
    "friends_count": 610,
    "media_count": 1289,
    "created_at": "Mon Mar 05 22:08:25 +0000 2007"
  }
]

This dataset is ideal for influencer discovery, network mapping, competitive analysis, and audience research.

Key Features:

• 📈 Extract Twitter followings by username
• 📊 Capture detailed profile data for each followed account
• ⚡ Structured JSON output for analytics and automation
• 📈 Identify influential accounts within networks
• 📊 Export-ready formats including JSON, CSV, and Excel
• ⚡ Scalable architecture for large follower networks
• 🔒 Fully cookieless architecture with no login required

FAQs

Does this scraper require Twitter login?
No. It operates fully cookieless without authentication.

Can it extract followings from private accounts?
No. Only publicly accessible accounts can be scraped.

Is this useful for influencer marketing?
Yes. Followings often reveal industry connections and collaboration opportunities.

Other Twitter scrapers that you may find useful:

Twitter Search Scraper

Twitter User Scraper

Twitter User Tweets Scraper

Twitter Followers Scraper

Twitter Followings Scraper

Twitter Comments Scraper

Twitter Trends by Location Scraper

Twitter List Members Scraper

Twitter Community Members Scraper