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

Extract the following list from any public Twitter/X account without login. Get usernames, bios, follower/following counts, profile images, and tweet counts. See who any account follows. No cookies, no authentication, no API key. JSON/CSV/Excel export.

- **URL**: https://apify.com/data-slayer/twitter-followings.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Social media, Developer tools, Other
- **Stats:** 323 total users, 35 monthly users, 100.0% runs succeeded, 1 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Twitter/X Following Scraper · No Cookies

Extract complete following lists from any public Twitter profile without authentication or cookies. This scraper bypasses login requirements, making it perfect for building audience databases, identifying influencer networks, and discovering collaboration opportunities at scale.

### 📺 Video Tutorial: How it Works

<https://www.youtube.com/watch?v=4h5RvJslbbk>

***

### Inputs

| Field  | Type   | Description                                                                                      |
| ------ | ------ | ------------------------------------------------------------------------------------------------ |
| userId | String | The Twitter username to extract followings from (e.g., "elonmusk"). Do not include the @ symbol. |

### Outputs

**Formats**: JSON, CSV, Excel

**Fields**: Each following profile includes:

- `user_id` - Unique Twitter user identifier
- `screen_name` - Twitter handle (username)
- `name` - Display name
- `description` - Profile bio text
- `profile_image` - Profile picture URL
- `statuses_count` - Total number of tweets
- `followers_count` - Number of followers
- `friends_count` - Number of accounts following
- `media_count` - Total media items posted
- `created_at` - Account creation timestamp

### Sample Output

```json
[
  {
    "user_id": "44196397",
    "screen_name": "elonmusk",
    "name": "Elon Musk",
    "description": "Tesla, SpaceX, Neuralink, xAI",
    "profile_image": "https://pbs.twimg.com/profile_images/1815749056821346304/jS8I28PL_normal.jpg",
    "statuses_count": 52847,
    "followers_count": 210458392,
    "friends_count": 856,
    "media_count": 4521,
    "created_at": "Tue Jun 02 20:12:29 +0000 2009"
  }
]
```

### How to Use

**Step 1**: Enter the target username in the `userId` field (e.g., "elonmusk").

**Step 2**: Configure your extraction scope. The scraper will retrieve all available followings from the specified profile.

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

### Key Features

🔒 **Cookieless / No Login Required** - Extract following data without Twitter credentials or session management. No risk of account suspension or rate limiting tied to your personal account.

📈 **Scalable Architecture** - Process multiple profiles and extract thousands of followings efficiently with built-in pagination and retry logic.

✅ **Rich Profile Data** - Capture comprehensive user information including user\_id, screen\_name, name, description, profile\_image, followers\_count, friends\_count, statuses\_count, media\_count, and account creation date.

⚡ **Fast & Reliable** - Optimized scraping engine delivers results quickly while maintaining stability across high-volume extraction jobs.

📊 **Export-Ready Formats** - Download your data instantly in JSON, CSV, or Excel formats for immediate use in CRM systems, analytics tools, or marketing platforms.

### Use Cases

**Influencer Marketing Manager**: Identify potential brand ambassadors by analyzing who industry leaders follow. Build targeted outreach lists by extracting followings from competitor accounts and top influencers in your niche.

**Social Media Analyst**: Map influencer networks and community structures by examining following patterns. Discover emerging voices and trending accounts within specific industries or interest groups.

**Business Development Representative**: Generate qualified leads by extracting followings from decision-makers and industry thought leaders. Build prospecting lists of professionals who follow relevant accounts in your target market.

### 🧩 Other Twitter/X Actors by Data Slayer

| Actor                             | What it does                               | Link                                                               |
| --------------------------------- | ------------------------------------------ | ------------------------------------------------------------------ |
| Twitter Tweets Scraper            | Extract tweets from any Twitter/X account  | [Try it](https://apify.com/data-slayer/twitter-user-tweets)        |
| Twitter Comments Scraper          | Extract replies from any tweet             | [Try it](https://apify.com/data-slayer/twitter-comments)           |
| Twitter Followers Scraper         | Extract follower lists from any account    | [Try it](https://apify.com/data-slayer/twitter-followers)          |
| Twitter Profile Scraper           | Get detailed profile data by username      | [Try it](https://apify.com/data-slayer/twitter-user)               |
| Twitter/X Search Scraper          | Search tweets by keyword or hashtag        | [Try it](https://apify.com/data-slayer/twitter-search)             |
| Twitter List Members Scraper      | Extract members from any Twitter list      | [Try it](https://apify.com/data-slayer/twitter-list-members)       |
| Twitter Community Members Scraper | Extract members from any Twitter community | [Try it](https://apify.com/data-slayer/twitter-community-members)  |
| Twitter Trends Scraper            | Get trending topics by location            | [Try it](https://apify.com/data-slayer/twitter-trends-by-location) |

**Need verified emails?** Our [LinkedIn Post Engagers Email Finder](https://apify.com/data-slayer/linkedin-post-to-verified-leads) and [LinkedIn Audience Email Finder](https://apify.com/data-slayer/linkedin-influencer-audience-to-verified-leads) extract verified work emails from LinkedIn engagement data.

### 💬 Feedback and Support

We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features:

- Create an issue on the Actor's **Issues tab** in Apify Console
- Rate the actor if it helped you — it helps others find it too

We typically respond within 24 hours.

***

***

# Actor input Schema

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

Username

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

Maximum number of pages to fetch (pagination handled automatically)

## Actor input object example

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

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/twitter-followings").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/twitter-followings").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 '{}' |
apify call data-slayer/twitter-followings --silent --output-dataset

```

## MCP server setup

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

```

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/UkXi4XmrOvKL6qUaf/builds/U4nXb8ari7McwWWPz/openapi.json