# Twitter/X Followers Scraper · No Cookies (`data-slayer/twitter-followers`) Actor

Extract follower lists from any public Twitter/X account without login. Get usernames, bios, follower/following counts, verification status, profile images, locations, websites, and account creation dates. No cookies, no API key. JSON/CSV/Excel export.

- **URL**: https://apify.com/data-slayer/twitter-followers.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Social media, Lead generation, Automation
- **Features:** Limited permissions
- **Stats:** 212 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Twitter Followers Scraper (No Login Required)

Extract follower lists from any public Twitter account without authentication or cookies. This scraper enables influencers, marketers, and analysts to gather audience intelligence and identify collaboration opportunities at scale.

### 📺 Video Tutorial: How it Works

https://www.youtube.com/watch?v=KI0u08c_rkI

***

### Inputs

| Field | Type | Description |
|-------|------|-------------|
| userId | String | Twitter username (without @ symbol) of the target account whose followers you want to extract (e.g., "elonmusk") |

### Outputs

**Available Formats**: JSON, CSV, Excel

**Data Fields**:

- `user_id` - Unique Twitter user identifier
- `screen_name` - Twitter handle/username
- `name` - Display name
- `description` - Profile bio text
- `profile_image` - Profile picture URL
- `followers_count` - Number of followers
- `friends_count` - Number of accounts followed
- `statuses_count` - Total tweets posted
- `media_count` - Total media items shared
- `created_at` - Account creation timestamp
- `blue_verified` - Twitter Blue verification status
- `verified` - Legacy verification badge status
- `can_dm` - Direct message availability
- `location` - User-specified location
- `website` - Profile website URL
- `affiliates` - Associated accounts
- `business_account` - Business account designation

### Sample Output

```json
{
  "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
}
```

***

### How to Use

**Step 1**: Enter the target Twitter username in the `userId` field (without the @ symbol).

**Step 2**: Configure your extraction scope based on the account's follower count.

**Step 3**: Run the scraper and download results in your preferred format (JSON, CSV, or Excel).

### Key Features

🔒 **Cookieless / No Login Required** - Access public follower data without Twitter credentials, eliminating account suspension risks and authentication complexity.

📈 **Scalable Architecture** - Process thousands of followers from multiple accounts with configurable pagination controls for enterprise-grade data collection.

✅ **Rich Profile Data** - Capture comprehensive follower profiles including user_id, screen_name, bio descriptions, follower/following counts, verification status, profile images, account creation dates, and direct messaging availability.

⚡ **Fast & Reliable** - Optimized extraction engine delivers consistent performance with built-in error handling and retry logic for uninterrupted data collection.

📊 **Export-Ready Formats** - Download results in JSON, CSV, or Excel formats for immediate integration with CRM systems, analytics platforms, and marketing automation tools.

### Use Cases

**Influencer Marketing Managers**: Identify high-value collaboration partners by analyzing follower overlap between competitor accounts and extracting verified users with substantial followings for outreach campaigns.

**Social Media Analysts**: Build demographic profiles and engagement patterns by aggregating follower data across industry leaders to inform content strategy and audience targeting decisions.

**B2B Sales Teams**: Generate qualified leads by extracting followers from industry thought leaders and decision-makers, enriching prospect lists with verified contact information and professional affiliations.

Whether you need an Instagram scraper alternative or want to get Instagram followers data for competitive analysis, this follower extraction tool provides comprehensive social media data scraping capabilities for lead generation from followers across Twitter's ecosystem. Export Instagram followers-style datasets with our scrape Instagram followers methodology adapted for Twitter's public API.

### FAQ

**How much does it cost to run this Actor?**
Pricing is listed in the Pricing section above, charged per row returned. You only pay for the rows
the Actor actually produces, so a small test run costs cents.

**Do I need cookies or a login?**
No. This Actor reads public data only - no cookies, no account, no browser automation.

**Can I schedule it?**
Yes. Run it from the Apify API, on a schedule, or via a webhook, and export results as JSON, CSV or Excel.

**What if I need a slightly different output?**
Open an issue on the Actor's Issues tab describing the shape you need.

### Related actors

More Twitter actors from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

| Actor |
|---|
| [Twitter/X Comments Scraper · No Cookies](https://apify.com/data-slayer/twitter-comments) |
| [Twitter/X Community Members Scraper · No Cookies](https://apify.com/data-slayer/twitter-community-members) |
| [Twitter/X Engaged Audience Exporter · Replies + Retweeters](https://apify.com/data-slayer/twitter-engaged-audience-exporter) |
| [Twitter/X Following Scraper · Public Profiles](https://apify.com/data-slayer/twitter-followings) |
| [Twitter/X List Members Scraper · No Cookies](https://apify.com/data-slayer/twitter-list-members) |
| [Twitter/X Profile Scraper · Bulk Handles, URLs & IDs](https://apify.com/data-slayer/twitter-user) |
| [Twitter/X Search Scraper · Small Jobs & Advanced Queries](https://apify.com/data-slayer/twitter-search) |
| [Twitter/X Trends Scraper · No Cookies](https://apify.com/data-slayer/twitter-trends-by-location) |
| [Twitter/X Tweet Details Scraper · URL or ID](https://apify.com/data-slayer/twitter-tweet-details) |
| [Twitter/X Tweets Scraper · No Cookies](https://apify.com/data-slayer/twitter-user-tweets) |

# Actor input Schema

## `userId` (type: `string`):

Public X/Twitter account. Accepts elonmusk, @elonmusk, https://x.com/elonmusk, a twitter.com profile URL, or a numeric user ID.

## `maxItems` (type: `integer`):

Exact maximum number of unique follower rows to save. Use 0 for no item cap; maxPages and the run time budget still apply.

## `maxPages` (type: `integer`):

Legacy-compatible page cap. The default remains 1. A run that stops with another cursor is reported as bounded/partial in RUN_SUMMARY.

## Actor input object example

```json
{
  "userId": "elonmusk",
  "maxItems": 0,
  "maxPages": 1
}
```

# Actor output Schema

## `followers` (type: `string`):

One billable default-dataset item per unique follower profile.

## `runSummary` (type: `string`):

Completion, bounds, cursor, retry, duplicate, and row counts. This record is not a dataset item.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "userId": "elonmusk"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/twitter-followers").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "userId": "elonmusk" }

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/twitter-followers").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "userId": "elonmusk"
}' |
apify call data-slayer/twitter-followers --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-slayer/twitter-followers"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/As5cjFLhxbafGtNdH/builds/LcehSz6FNpcc6jLs7/openapi.json