Twitter/X Followers Scraper — Extract Follower & Following Lists

Scrape follower and following lists from any public Twitter/X account. Extract usernames, display names, bios, follower counts, verified status, profile pictures, join dates, and more. No Twitter API key or developer account required.

What It Does

• Follower extraction — Get the full follower list for any public Twitter/X account with profile details
• Following extraction — Optionally scrape who an account follows for network analysis
• Rich profile data — Each follower includes bio, follower count, tweet count, verified status, join date, and location
• Multiple accounts — Process several Twitter handles in a single run for bulk analysis
• No API key needed — Uses community Nitter mirrors and Twitter syndication endpoints, no developer account required

Input Parameters

Parameter	Type	Default	Description
handles	array	["elonmusk"]	Twitter/X usernames to scrape (without the @ symbol)
maxFollowers	integer	10	Maximum number of followers to extract per account (max 10,000)
scrapeFollowing	boolean	false	Also scrape the accounts that each handle follows
maxConcurrency	integer	2	Number of parallel requests (keep low to avoid rate limits)
proxyConfiguration	object	{"useApifyProxy": true}	Proxy settings for avoiding blocks

Output Example

Each follower/following entry includes these fields:

{
  "username": "sataborern",
  "displayName": "Sara Taborelli",
  "bio": "Senior Product Designer at Stripe. Previously Figma, Google. Opinions are my own.",
  "followerCount": 12450,
  "followingCount": 843,
  "tweetCount": 3291,
  "likeCount": 18720,
  "verified": false,
  "profilePicUrl": "https://pbs.twimg.com/profile_images/1678234567890/abc123_400x400.jpg",
  "joinDate": "2015-03-14T00:00:00.000Z",
  "location": "San Francisco, CA",
  "website": "https://sarataborelli.design",
  "listType": "followers",
  "targetHandle": "elonmusk",
  "source": "nitter",
  "scrapedAt": "2026-03-03T09:15:22.100Z"
}

Use Cases

• Influencer marketing — Analyze an influencer's follower demographics before sponsorship deals
• Competitor intelligence — See who follows your competitors and target them with your content
• Lead generation — Find potential customers by scraping followers of industry-relevant accounts
• Network analysis — Map the social graph between accounts by scraping both followers and following lists
• Audience research — Understand your own audience composition by analyzing their bios, locations, and follower counts
• Bot detection — Identify suspicious follower patterns by examining account ages, tweet counts, and profile completeness

API Usage

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('sovereigntaylor/twitter-followers-scraper').call({
    handles: ['elonmusk', 'BillGates'],
    maxFollowers: 500,
    scrapeFollowing: false,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('sovereigntaylor/twitter-followers-scraper').call(run_input={
    'handles': ['elonmusk', 'BillGates'],
    'maxFollowers': 500,
    'scrapeFollowing': False,
})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

cURL

curl "https://api.apify.com/v2/acts/sovereigntaylor~twitter-followers-scraper/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "handles": ["elonmusk", "BillGates"],
    "maxFollowers": 500,
    "scrapeFollowing": false
  }'

Pricing

This actor uses pay-per-event pricing — you only pay for results successfully scraped.

Event	Price
Follower scraped	$0.004
Profile metadata scraped	$0.005

Example: Scraping 1,000 followers from 2 accounts = (1,000 x $0.004) + (2 x $0.005) = $4.01

Limitations

• Twitter/X aggressively blocks scraping — results depend on Nitter mirror availability and proxy quality
• Private/protected accounts cannot be scraped
• Very large accounts (10M+ followers) may time out before completing — use reasonable maxFollowers limits
• Follower order may not exactly match Twitter's display order
• Rate limits apply — keep maxConcurrency at 2 or lower for best results
• Some profile fields (like website or location) may be empty if the user hasn't set them

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