Fast Twitter (X) User Scraper API | Extract Profiles, Followers avatar

Fast Twitter (X) User Scraper API | Extract Profiles, Followers

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Fast Twitter (X) User Scraper API | Extract Profiles, Followers

Fast Twitter (X) User Scraper API | Extract Profiles, Followers

Introducing Twitter (X) User Scraper, the ultimate solution for direct user extraction from Twitter (X). It offers blazing speed and comprehensiveness, delivering lightning-fast user extraction features.

Pricing

from $0.40 / 1,000 dataset items

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4.0

(13)

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API Dojo

API Dojo

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🏯 Fast Twitter User Scraper API: Extract Profiles, Followers & Following at Scale

Extract user profiles, followers, following lists, and retweeters from X (formerly Twitter) at scale. This Twitter user scraper collects usernames, bios, follower counts, verification status, profile pictures, locations, and account metadata—all without login or API keys.

Use this Twitter user scraper API to build influencer databases, extract Twitter followers for lead generation, analyze competitor audiences, or export Twitter followers to CSV for CRM import. Scrape up to 67 users per second with complete profile data including X Premium status, listed count, and account creation dates.

💰 Event-Based Pricing: $0.004/profile | $0.016/followers query | $0.0004/user | ⚡ Speed: 30-80 users/second | 🔓 No login required


📋 Table of Contents

  1. What Does the Twitter User Scraper Do?
  2. Features & Capabilities
  3. Pricing
  4. Input Parameters
  5. Twitter User Scraper Strategy Guide
  6. Output Format
  7. Custom Map Function
  8. Related Scrapers
  9. Demo Mode & Free Testing
  10. Troubleshooting
  11. Use Cases & Industries
  12. Quick Start Guide
  13. FAQ
  14. Contact

🧭 What Does the Twitter User Scraper Do?

Twitter user scraper is a tool that automates the extraction of user profiles, follower lists, following lists, and retweeters from public X (formerly Twitter) accounts. This X user scraper enables influencer research, lead generation, and audience analysis by collecting usernames, bios, follower counts, verification status, and profile metadata.

The Api Dojo Twitter User Scraper API retrieves comprehensive profile data—including user IDs, display names, profile pictures, cover images, locations, website URLs, account creation dates, tweet counts, and X Premium verification status—by username, profile URL, or user ID. This tool operates at speeds up to 67 users per second without requiring proxies, authentication, or official Twitter API quotas.

This Twitter profile scraper serves as a practical alternative to the official Twitter API v2 for bulk user extraction. No rate limits, no API key management—just straightforward data access through Apify's infrastructure. Scrape Twitter users and their networks for thousands of profiles in minutes.

Why Choose This Twitter User Scraper?

FeatureThis ScraperTwitter API v2Other Scrapers
Speed30-80 users/secRate limited5-12 users/sec
Cost$0.004/profileFree tier limited$0.01-0.05/profile
AuthenticationNone requiredOAuth 2.0 requiredOften required
Rate LimitsNo hard limits15 requests/15 minVaries
Followers/Following✅ Full extraction✅ Limited⚠️ Partial
Retweeters✅ Supported❌ Not available❌ Not available
Export FormatsJSON, CSV, ExcelJSON onlyVaries

What Data Can You Extract?

Profile-Level Data

  • User ID — Unique Twitter user identifier
  • Username (handle) — @username
  • Display name — Profile display name
  • Bio / profile description — User's bio text with parsed URLs
  • Profile picture URL — Avatar image (multiple sizes)
  • Cover picture URL — Banner/header image
  • Follower count — Total followers
  • Following count — Accounts they follow
  • Tweet count — Total tweets/statuses posted
  • Listed count — How many lists they appear in
  • Favorites count — Total likes given
  • Media count — Photos/videos posted
  • Account creation date — When account was created
  • Location — Profile location text
  • Website URL — Profile website link (expanded)
  • Is verified — Legacy verification status
  • Is blue verified (X Premium) — Paid verification
  • Verified type — Business, government, or individual
  • Is protected — Private account status
  • Professional type — Business category if applicable
  • Can DM — Whether DMs are open
  • Withheld in countries — Geo-restrictions

Relationship Data

  • Followers list — Complete follower profiles
  • Following list — Complete following profiles
  • Retweeters list — Users who retweeted a specific tweet
  • Follower of — Which profile this user was extracted from

⚡ Features & Capabilities

Query Types Supported

Input TypeExampleSpeedBest For
Profile URLhttps://x.com/elonmusk67 users/secDirect profile extraction
Twitter Handleelonmusk67 users/secBatch username lookup
User ID4419639767 users/secProgrammatic access
Tweet URLhttps://x.com/user/status/12367 users/secGet tweet author + retweeters
Keyword SearchAI researcher30-50 users/secDiscover users by bio/name

Core Features

  • � High-Speed Extraction — 30-80 users per second from any public profile
  • 👥 Follower/Following Lists — Extract complete network data
  • 🔄 Retweeters Extraction — Get users who retweeted any tweet
  • 🔍 Keyword Search — Find users by bio, name, or description
  • 🔓 No Authentication — No login, API keys, or OAuth required
  • 📁 Multiple Export Formats — JSON, CSV, Excel direct download
  • ⚙️ Custom Transformations — Shape output with custom map functions
  • 🔗 API Integration — RESTful API for Python, Node.js, or any HTTP client

Complete Twitter Scraper Ecosystem

This X user scraper is part of the Apidojo Twitter scraper suite. Combine with other tools for comprehensive Twitter data extraction:

ToolWhat It ExtractsBest For
👤 Twitter User ScraperProfiles, followers, following, retweetersUser extraction (You are here)
🐦 Tweet ScraperTweets by keyword, hashtag, userGeneral tweet extraction
🏯 Twitter List ScraperList tweets, members, metadataList monitoring
Twitter Scraper LiteLightweight tweet extractionQuick searches

💰 Pricing

Event-Based Cost Structure

Pay only for what you scrape—no subscriptions, no hidden fees. This Twitter followers scraper uses transparent event-based pricing:

Event TypePriceWhat's Included
Keyword Search$0.008/searchFirst ~20 users FREE (first page)
Profile URL$0.004/URLEach startUrls or twitterHandles entry
Followers Query$0.016/queryFirst ~70 users FREE (first page)
Following Query$0.016/queryFirst ~70 users FREE (first page)
Retweeters Query$0.016/queryFirst ~70 retweets FREE (first page)
About Page$0.0002/profileExtended metadata (creation date, verification history)
Additional Users$0.0004/userBeyond free first page

Cost Examples

ScenarioWhat You Pay
5 profile URLs only$0.02
1 keyword search, 20 users$0.008
1 keyword search, 100 users$0.04
1 profile + 70 followers$0.02
1 profile + 500 followers$0.19
1 profile + followers + following (1,000 each)$0.78
1 tweet + 200 retweeters$0.07

Why This Pricing Works

  • No monthly fees — Pay only for data extracted
  • Free first pages — First ~20-70 users included with each query
  • Predictable costs — Calculate exact spend before running
  • Scales linearly — Same rate whether extracting 100 or 100,000 users

Important Usage Note

To cover operational costs, this actor requires a minimum of 5 objects per run. For single profile extraction without followers/following:

{
"twitterHandles": ["elonmusk", "elonmusk", "elonmusk", "elonmusk", "elonmusk"],
"getFollowers": false,
"getFollowing": false,
"maxItems": 5
}

If extracting followers/following with 5+ results, no duplication needed.


🍚 Input Parameters

Configure your Twitter user scraper extraction with these parameters. Whether you want to scrape Twitter users by handle, URL, or extract their followers/following networks, these settings control what data you collect.

FieldTypeDescriptionDefault
startUrlsarrayX (Twitter) URLs. Profile URLs or Tweet URLs supported.[]
twitterHandlesarrayTwitter handles to extract (without @).[]
twitterUserIdsarrayTwitter user IDs for programmatic access.[]
getFollowersbooleanExtract followers of the given profiles.false
getFollowingbooleanExtract following list of the given profiles.false
getRetweetersbooleanExtract retweeters of given tweet URLs.false
includeUnavailableUsersbooleanInclude suspended/unavailable users in output.false
maxItemsnumberMaximum users to extract.Infinity
customMapFunctionstringJavaScript function to transform output. Not for filtering.null

Parameter Examples

Extract Single Profile:

{
"twitterHandles": ["elonmusk"],
"getFollowers": false,
"getFollowing": false,
"maxItems": 5
}

Extract Followers:

{
"startUrls": ["https://x.com/elonmusk"],
"getFollowers": true,
"maxItems": 1000
}

Extract Following:

{
"twitterHandles": ["naval", "paulg"],
"getFollowing": true,
"maxItems": 500
}

Extract Retweeters from Tweet:

{
"startUrls": ["https://x.com/elonmusk/status/1234567890"],
"getRetweeters": true,
"maxItems": 200
}

Keyword Search for Users:

{
"keywords": ["AI researcher"],
"maxItems": 100
}

📖 Twitter User Scraper Strategy Guide

Master the art of how to scrape Twitter followers with these proven strategies. Whether you're building influencer databases, analyzing competitor audiences, or generating leads, this guide covers the optimal approach for each use case.


🎯 Strategy 1: Influencer Database Building

Goal: Build comprehensive influencer lists with profile data

Best Input:

{
"twitterHandles": ["influencer1", "influencer2", "influencer3"],
"getFollowers": false,
"getFollowing": false,
"maxItems": 100
}

Why This Works:

  • Extract complete profile data for influencer qualification
  • Get follower counts, bios, verification status, and engagement metrics
  • Build databases for influencer research and outreach
  • Export Twitter followers to CSV for CRM import

Pro Tips:

  • Batch multiple handles in one run for efficiency
  • Use listed count as a quality signal (high listed count = influential)
  • Check verification status for brand safety

🎯 Strategy 2: Competitor Audience Analysis

Goal: Analyze who follows your competitors

Best Input:

{
"startUrls": ["https://x.com/competitor1"],
"getFollowers": true,
"maxItems": 5000
}

Why This Works:

  • Discover competitor's audience demographics
  • Identify potential customers already interested in your niche
  • Find influencers who engage with competitors
  • Build lookalike audiences for advertising

Pro Tips:

  • Compare follower overlap between multiple competitors
  • Filter by follower count to find high-value accounts
  • Analyze bios for job titles and interests

🎯 Strategy 3: Lead Generation from Following Lists

Goal: Find prospects by analyzing who industry leaders follow

Best Input:

{
"twitterHandles": ["industryLeader"],
"getFollowing": true,
"maxItems": 2000
}

Why This Works:

  • Industry leaders follow relevant accounts in their space
  • Following lists are curated by the account owner
  • Higher quality leads than random follower extraction
  • Discover hidden gems and micro-influencers

Pro Tips:

  • Target VCs to find startup founders they're watching
  • Target journalists to find sources they follow
  • Target recruiters to find talent they're tracking

🎯 Strategy 4: Viral Content Audience Analysis

Goal: Identify users who engaged with viral content

Best Input:

{
"startUrls": ["https://x.com/user/status/VIRAL_TWEET_ID"],
"getRetweeters": true,
"maxItems": 1000
}

Why This Works:

  • Retweeters actively engaged with specific content
  • Higher intent audience than passive followers
  • Identify brand advocates and potential ambassadors
  • Build audiences around specific topics or campaigns

Pro Tips:

  • Target tweets with high engagement in your niche
  • Combine with follower extraction for deeper analysis
  • Use for event promotion and community building

📊 Output Format

Clean, structured JSON output with comprehensive user profile data. Each user object contains profile metadata, engagement metrics, and relationship data—everything you need to extract Twitter followers and build user databases at scale.

User Output Example

{
"followerOf": "elonmusk",
"type": "user",
"userName": "exampleUser",
"url": "https://x.com/exampleUser",
"twitterUrl": "https://twitter.com/exampleUser",
"id": "1467931973616386052",
"name": "Example User",
"isVerified": true,
"isBlueVerified": true,
"verifiedType": "business",
"profilePicture": "https://pbs.twimg.com/profile_images/.../normal.jpg",
"coverPicture": "https://pbs.twimg.com/profile_banners/...",
"description": "Bio description with links and hashtags",
"location": "San Francisco, CA",
"followers": 1147899,
"following": 561,
"protected": false,
"canDm": true,
"createdAt": "Mon Dec 06 19:00:41 +0000 2021",
"favouritesCount": 1450,
"listedCount": 1294,
"mediaCount": 139,
"statusesCount": 2104,
"professional": {
"professional_type": "Business",
"category": []
}
}

Field Availability Guarantees

FieldAvailabilityData TypeNotes
id✅ AlwaysstringUnique user ID
userName✅ Alwaysstring@handle
name✅ AlwaysstringDisplay name
url✅ AlwaysstringX.com profile URL
followers✅ AlwaysnumberFollower count
following✅ AlwaysnumberFollowing count
description✅ AlwaysstringBio text
location⚠️ SometimesstringIf set by user
isVerified✅ AlwaysbooleanLegacy verification
isBlueVerified✅ AlwaysbooleanX Premium status
profilePicture✅ AlwaysstringAvatar URL
coverPicture⚠️ SometimesstringBanner URL if set
createdAt✅ AlwaysstringAccount creation date
statusesCount✅ AlwaysnumberTotal tweets
listedCount✅ AlwaysnumberLists they appear in
followerOf⚠️ SometimesstringSource profile (for follower extraction)

Export Options

  • JSON: Complete datasets with nested objects—ideal for analysis pipelines
  • CSV: Direct download from Apify Console—perfect for export Twitter followers to CSV
  • API: RESTful endpoints for Python, Node.js, or any HTTP client

🧩 Custom Map Function

Transform output using the customMapFunction parameter. This JavaScript function receives each user object and returns your desired format—flatten nested data, extract specific fields, or restructure for your pipeline.

Important: Custom map function is for data transformation—not for filtering. Filtering items may result in automatic restrictions.

Example: Simplified Output for Lead Generation

(object) => ({
handle: object.userName,
name: object.name,
bio: object.description,
followers: object.followers,
following: object.following,
location: object.location || null,
website: object.entities?.url?.urls?.[0]?.expanded_url || null,
isVerified: object.isBlueVerified || false,
accountAge: object.createdAt,
listedCount: object.listedCount
})

Common Transformations

Use CaseWhat to Extract
Lead GenerationuserName, name, description, location, entities.url
Influencer Researchfollowers, following, listedCount, isBlueVerified
Audience Analysisdescription, location, createdAt, statusesCount
Network MappinguserName, id, followers, following, followerOf

Expand your Twitter data extraction capabilities with our complete suite of X profile scraper tools. Each focuses on specific data types for comprehensive social intelligence.

📦 Complete Apidojo Twitter Scraper Ecosystem

ToolWhat It ExtractsBest For
👤 Twitter User ScraperProfiles, followers, following, retweetersUser extraction (You are here)
🐦 Tweet ScraperTweets by keyword, hashtag, userGeneral tweet extraction
🏯 Twitter List ScraperList tweets, members, metadataList monitoring
Twitter Scraper LiteLightweight tweet extractionQuick searches

🌐 Cross-Platform Social Media Scrapers

PlatformToolWhat It Extracts
📺 YouTubeYouTube ScraperVideos, channels, playlists
📸 InstagramInstagram ScraperPosts, reels, profiles
🎵 TikTokTikTok ScraperVideos, profiles, engagement

🆓 Demo Mode & Free Testing

If you run on Apify's Free plan, you can still use this Twitter user scraper with limited results (up to 10 items). For unrestricted usage and to unlock the full power of this Twitter user scraper API at scale, subscribe to a paid Apify plan.

Free Plan Benefits:

  • ✅ Test the API with up to 10 user extractions
  • ✅ Perfect for testing workflows before scaling
  • ✅ Validate output format and data quality risk-free

Upgrade for Full Access:

  • 🚀 Unlimited user extraction from Twitter
  • 🚀 Up to 67 users per second processing speed
  • 🚀 API access for automated workflows and integrations
  • 🚀 Scheduled runs with webhooks and cron jobs

For unrestricted usage, subscribe to a paid Apify plan.


🔧 Troubleshooting

Having trouble with your extraction? Here are solutions to common issues when you scrape Twitter users and their networks.


❓ Getting Fewer Users Than Expected?

Problem: Extraction returns fewer users than anticipated

Solutions:

Check maxItems setting—increase the limit if you need more users
Verify account has followers—some accounts have limited networks
Check account visibility—protected accounts cannot be scraped
Remember free tiers—Free users are capped at 10 items


❓ Want Only the Profile (No Followers)?

Problem: You only want profile data, not follower/following lists

Solution:

{
"twitterHandles": ["username"],
"getFollowers": false,
"getFollowing": false,
"getRetweeters": false
}

Make sure all extraction options are disabled to get only the profile.


❓ Want Only Tweet Author (No Retweeters)?

Problem: You want the tweet author but not retweeters

Solution:

{
"startUrls": ["https://x.com/user/status/123"],
"getRetweeters": false
}

Disable getRetweeters to extract only the tweet author.


💰 Unexpected Costs?

Problem: Your run cost more than anticipated

Key pricing to remember:

ScenarioWhat You Pay
1 profile only$0.004
1 profile + 70 followers$0.02
1 profile + 500 followers$0.19
1 keyword search, 100 users$0.04

Cost control tips:

Use maxItems to cap spending—set hard limits on total extraction
Start with smaller batches—test with 100-500 users first
First page is free—~20-70 users included with each query


❓ Rate Limiting Issues?

Problem: Extraction fails or slows down

Solutions:

Maximum 1-2 concurrent runs—avoid parallel extractions
Wait between runs—allow a few minutes between large extractions
Minimum 5 objects per run—required for operational costs


🎯 Use Cases & Industries

This Twitter user scraper serves professionals who need fast, structured user intelligence—from lead generation to influencer research and audience analysis. Use it to extract Twitter followers for any business intelligence need.


🎯 Lead Generation & B2B Prospecting

Build targeted prospect lists from Twitter profiles.

  • Extract Twitter followers for sales outreach
  • Build lead generation databases from industry accounts
  • Collect bios, locations, and website URLs for qualification
  • Export Twitter followers to CSV for CRM import

Example: Extract followers of industry thought leaders for B2B prospecting.


👤 Influencer Research & Marketing

Discover and qualify influencers for partnership opportunities.

  • Identify creators for influencer research and outreach
  • Analyze follower counts, engagement, and verification status
  • Track creator networks and who they follow
  • Build influencer marketing campaign lists

Example: Extract profiles of verified accounts in your niche for influencer research.


🔍 Competitor Audience Analysis

Analyze competitor followers and following lists.

  • Track competitor intelligence through their audience
  • Discover who follows your competitors
  • Identify potential customers interested in your niche
  • Build lookalike audiences for advertising

Example: Extract competitor followers for audience analysis and targeting.


📊 Social Network Analysis

Map Twitter networks and relationships.

  • Build social graph analysis datasets
  • Map follower/following relationships
  • Identify central nodes and influencers
  • Analyze network analysis structures

Example: Extract following lists of VCs to map startup ecosystem connections.


🎤 Event & Speaker Discovery

Find speakers and thought leaders.

  • Identify event speaker discovery opportunities
  • Build podcast guest research databases
  • Track conference speakers and their networks
  • Discover thought leaders in specific niches

Example: Extract profiles of conference speakers for speaker discovery.


👥 Recruiting & Talent Sourcing

Build candidate pipelines from Twitter profiles.

  • Identify candidates for recruiting and talent sourcing
  • Extract bios and locations for qualification
  • Find developers, designers, and specialists by bio keywords
  • Track talent movements and networks

Example: Search for "software engineer" to find talent sourcing candidates.


🔄 Viral Content Analysis

Analyze who engages with viral content.

  • Extract retweeters for viral content analysis
  • Identify brand advocates and ambassadors
  • Build audiences around specific topics
  • Track engagement patterns for campaigns

Example: Extract retweeters of viral tweets for audience building.


💡 Quick Start Guide

Simple setup—whether extracting profiles, followers, or following lists. This Twitter user scraper API makes it easy to scrape Twitter users in minutes.

Copy-Paste Examples by Persona

For Sales Teams (Followers → CSV):

{
"startUrls": ["https://x.com/TARGET_ACCOUNT"],
"getFollowers": true,
"maxItems": 2000
}

→ Run, then export Twitter followers to CSV from Storage tab.

For Developers (API → JSON):

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("apidojo/twitter-user-scraper").call(run_input={
"twitterHandles": ["elonmusk"],
"getFollowers": True,
"maxItems": 1000
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

For Researchers (Multiple Profiles):

{
"twitterHandles": ["user1", "user2", "user3"],
"getFollowers": false,
"getFollowing": false,
"maxItems": 100
}

3 Steps to Get Started

  1. Add input: Paste profile URL, handle, or user ID
  2. Configure: Enable followers/following extraction, set maxItems limit
  3. Run & Export: Click Start, then download JSON/CSV from Storage tab

📋 Method 1: Extract by Profile URL

Best for: Quick extraction from a single profile

{
"startUrls": ["https://x.com/elonmusk"],
"getFollowers": true,
"maxItems": 1000
}

📋 Method 2: Extract by Twitter Handle

Best for: Batch extraction, multiple profiles

{
"twitterHandles": ["naval", "paulg", "sama"],
"getFollowing": true,
"maxItems": 500
}

📋 Method 3: Extract Retweeters from Tweet

Best for: Engagement analysis, audience building

{
"startUrls": ["https://x.com/user/status/TWEET_ID"],
"getRetweeters": true,
"maxItems": 200
}

🔧 Best Practices for Twitter User Scraping

✅ DO:

  • Start with 500-1000 users—test before scaling
  • Batch multiple handles—extract several profiles in one run
  • Set maxItems—control costs by limiting total extraction
  • Use first page free—~20-70 users included with each query

❌ DON'T:

  • Use customMapFunction for filtering—this causes automatic blocking
  • Scrape protected accounts—only public profiles are accessible
  • Run too many concurrent extractions—maximum 1-2 concurrent runs
  • Forget minimum 5 objects—required for single profile extraction

❓ Frequently Asked Questions

What is a Twitter User Scraper API?

A Twitter user scraper API is a tool that programmatically extracts user profiles, follower lists, following lists, and retweeters from X (formerly Twitter). This Twitter profile scraper serves as an alternative to the Twitter API v2 without rate limits or OAuth requirements.

How much does it cost to scrape Twitter users?

$0.004 per profile, $0.016 per followers/following query, $0.0004 per additional user. Extract 1,000 followers for about $0.40—significantly cheaper than building custom scrapers.

Can I scrape Twitter users without login?

Yes! This Twitter user scraper requires no authentication or login. Start extracting user data immediately without any Twitter account or API key.

What Twitter user data can I extract?

Extract user IDs, usernames, display names, bios, follower counts, following counts, tweet counts, locations, website URLs, verification status, X Premium status, profile pictures, cover images, account creation dates, listed counts, and media counts—all in structured JSON or CSV format.

Can I export Twitter followers to CSV?

Yes. Download data directly from Apify Console in JSON, CSV, or Excel format. Perfect for export Twitter followers to CSV workflows and CRM import.

Can I use Python to scrape Twitter users?

Yes! Full Python support via the Apify Client library. See the Quick Start Guide above for Twitter followers scraper Python integration.

Is this faster than the Twitter API?

Yes. Up to 67 users/second without rate limits. The official Twitter API v2 has strict rate limits (15 requests/15 min for user endpoints) and requires OAuth 2.0 setup.

Can I scrape followers and following at the same time?

Yes. Enable both getFollowers and getFollowing to extract complete network data in one run.

Can I scrape retweeters?

Yes. Provide a tweet URL and enable getRetweeters to extract all users who retweeted that tweet.

Can I scrape protected accounts?

No. Only public profiles are accessible. Protected accounts require authentication which this tool does not support.

Can I use this for lead generation?

Yes. Perfect for lead generation, B2B prospecting, and sales prospecting. Extract Twitter followers to build targeted outreach lists.

Can I use this for influencer research?

Yes. Ideal for influencer research, audience analysis, and influencer marketing. Extract follower counts, bios, and verification status for qualification.

Is this a real-time Twitter API?

Yes. Extract current Twitter user data in real-time with up to 67 users/second processing speed. Data reflects the latest publicly available information.


📞 Contact

If you need any sort of support, please send an email to apidojo10@gmail.com. You name it, we get it.


Ready to start extracting Twitter user data? With transparent event-based pricing, blazing-fast speeds, and support for profiles, followers, following, and retweeters, this Twitter User Scraper API is the ultimate tool for lead generation, influencer research, audience analysis, and B2B prospecting. Start scraping today! 🏯