Twitter (X) User Profiles Scraper by Username - Cookieless avatar

Twitter (X) User Profiles Scraper by Username - Cookieless

Pricing

from $1.50 / 1,000 results

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Twitter (X) User Profiles Scraper by Username - Cookieless

Twitter (X) User Profiles Scraper by Username - Cookieless

Extract detailed Twitter user profiles without login or cookies. Enter a username and get follower counts, verification status, bio, media stats, account age, and profile images in JSON or CSV. Ideal for lead enrichment, influencer research, and sales intelligence at scale.

Pricing

from $1.50 / 1,000 results

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0.0

(0)

Developer

Surge Street

Surge Street

Maintained by Community

Actor stats

0

Bookmarked

23

Total users

5

Monthly active users

11 days ago

Last modified

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Twitter (X) User Scraper - No Login Required

What does this scraper do?

This actor extracts detailed Twitter user profile data using a username.

Enter a Twitter handle, run the actor, and receive structured profile intelligence including follower counts, bio, verification status, media statistics, and account metadata.

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

Cookieless architecture ensures stable, scalable, and automation-ready data extraction.

Why scrape Twitter user profiles?

Twitter profiles contain rich signals about influence, credibility, activity level, and professional positioning. This helps sales and marketing teams to:

  • Enrich CRM records with verified social profiles
  • Identify decision-makers and influencers
  • Score leads based on social authority
  • Analyze competitor executive presence
  • Segment prospects by location and account age
  • Evaluate brand ambassadors and thought leaders
  • Prioritize outreach based on engagement metrics

Because the scraper runs without authentication, it fits seamlessly into automated enrichment workflows.

How much will scraping cost?

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

Since no login credentials are required, this actor reduces authentication overhead and operational risk, ensuring predictable and scalable performance.

How to use the scraper

Here is a step-by-step guide:

Step 1: Enter the username:
In the username field, input the Twitter handle without the @ symbol.

Example:

elonmusk

Step 2: Configure optional parameters:
Add additional configuration if running bulk enrichment.

Step 3: Start the run:
Click Start to begin extraction. The actor will retrieve publicly available profile information.

Step 4: Export or integrate:
Download the dataset in JSON, CSV, or integrate directly via API with your CRM or analytics system.

Input parameters

Input example

{
"username": "satyanadella"
}
FieldTypeDescription
usernameStringTwitter username without the @ symbol

What data does this scraper extract?

Formats: JSON, CSV, Excel

Key Fields Extracted:

  • id - Unique Twitter user ID
  • profile - Username/handle
  • name - Display name
  • rest_id - Internal REST identifier
  • blue_verified - Twitter Blue verification status
  • avatar - Profile image URL
  • header_image - Banner image URL
  • desc - Bio/description text
  • location - User-specified location
  • friends - Following count
  • sub_count - Follower count
  • statuses_count - Total tweets
  • media_count - Total media uploads
  • created_at - Account creation timestamp
  • pinned_tweet_ids_str - Pinned tweet IDs
  • affiliates - Business labels and badges
  • protected - Account privacy status

All data is returned in structured JSON format for seamless CRM enrichment, analytics, and social intelligence workflows.

Sample Output

{
"status": "active",
"profile": "satyanadella",
"rest_id": "123456789",
"blue_verified": true,
"avatar": "https://pbs.twimg.com/profile_images/example_avatar.jpg",
"header_image": "https://pbs.twimg.com/profile_banners/123456789/1234567890",
"desc": "Chairman and CEO, Microsoft",
"name": "Satya Nadella",
"protected": null,
"location": "Redmond, WA",
"friends": 342,
"sub_count": 12456789,
"statuses_count": 5432,
"media_count": 876,
"pinned_tweet_ids_str": [
"1234567890123456789"
],
"created_at": "Mon Mar 15 18:45:22 +0000 2010",
"id": "123456789"
}

The output is production-ready and ideal for sales intelligence, influencer research, competitive analysis, and automated lead enrichment workflows.

Key Features:

  • 📈 Extract Twitter user profiles by username
  • 📊 Capture full profile intelligence and authority indicators
  • ⚡ Structured JSON output for automation and CRM integration
  • 📈 Retrieve verification status and account activity metrics
  • 📊 Export-ready formats including JSON, CSV, and Excel
  • ⚡ Scalable architecture for bulk username enrichment
  • 🔒 Fully cookieless architecture with no login required

FAQs

Does this scraper require Twitter login?
No. It runs completely cookieless without authentication.

Can it scrape private accounts?
No. Only publicly accessible profile data can be extracted.

Can I enrich large lead lists?
Yes. This scraper supports bulk username processing for scalable enrichment workflows.

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