Scrape Twitter (X) Followers by Username - Cookieless avatar

Scrape Twitter (X) Followers by Username - Cookieless

Pricing

from $1.50 / 1,000 results

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Scrape Twitter (X) Followers by Username - Cookieless

Scrape Twitter (X) Followers by Username - Cookieless

Extract Twitter followers without login or cookies. Enter a username and get follower profiles including bio, follower counts, verification status, account creation date, location, and profile images in JSON or CSV. Ideal for influencer research, audience analysis, and lead generation at scale.

Pricing

from $1.50 / 1,000 results

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Developer

Surge Street

Surge Street

Maintained by Community

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11 days ago

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Twitter (X) Followers Scraper - No Login Required

What does this scraper do?

This actor extracts followers from any public Twitter account using the username.

Enter a username, run the actor, and receive structured follower profile data including bio, verification status, follower counts, and account metadata.

No Twitter login, no cookies, no session handling required.

Cookieless architecture ensures stable, risk-free, and scalable automation.

Why scrape Twitter followers?

Twitter followers represent engaged audiences, potential customers, and collaboration opportunities. This helps marketers, analysts, and sales teams to:

  • Identify high-value collaboration prospects
  • Analyze competitor audience overlap
  • Discover verified users within niche communities
  • Build structured lead generation databases
  • Enrich CRM systems with social profile data
  • Study audience demographics and growth patterns
  • Track influencer ecosystem relationships

Its cookieless design fits scalable data pipelines without needing Twitter accounts.

How much will scraping cost?

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

Because this actor does not require login or session management, it reduces operational complexity and lowers the risk associated with account-based scraping. This predictable architecture keeps your data pipelines highly stable.

How to use the scraper

Here is a step-by-step guide:

Step 1: Open the actor: Go to your Apify Console and open the scraper.

Step 2: Enter your input parameters: In the input field, enter the target Twitter username in the userId field without the @ symbol (e.g., elonmusk).

Step 3: Configure extraction depth: Adjust pagination settings depending on the number of followers you want to extract.

Step 4: Start the run: Click Start to begin scraping. The actor will extract publicly available follower profiles.

Step 5: Export or integrate: Once complete, download the dataset in JSON, CSV, or connect it via API to your analytics or CRM platform.

Input parameters

Below are the configuration options you can use to control the scraper.

Input example

{
"userId": "elonmusk",
"maxPages": 10
}
FieldTypeDescription
userIdStringTwitter username without the @ symbol
maxPagesNumberNumber of pagination pages to extract

What data does this scraper extract?

Formats: JSON, CSV, Excel

Data Fields Extracted:

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

All data is returned as structured JSON with null-safe fields for reliable downstream processing.

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
}

All data is delivered in structured JSON format suitable for influencer marketing research, audience intelligence, competitive analysis, and Twitter lead generation workflows.

Key Features:

  • ๐Ÿ“ˆ Extract Twitter followers by username
  • ๐Ÿ“Š Capture complete follower profile metadata
  • โšก Structured JSON output ready for analytics and automation
  • ๐Ÿ“ˆ Retrieve verification and engagement indicators
  • ๐Ÿ“Š Export-ready formats including JSON, CSV, and Excel
  • โšก Scalable architecture for high-volume follower extraction
  • ๐Ÿ”’ Fully cookieless architecture with no login required

FAQs

Does this scraper require Twitter login? No. It is fully cookieless and does not require login credentials.

Can it scrape private accounts? No. Only publicly accessible follower lists can be extracted.

Can I extract thousands of followers? Yes. Configure pagination or integrate via API for large-scale extraction.

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