# Twitter User Following Scraper (`twittapi/twitter-user-following-scraper`) Actor

Twitter User Following Scraper

- **URL**: https://apify.com/twittapi/twitter-user-following-scraper.md
- **Developed by:** [twittapi](https://apify.com/twittapi) (community)
- **Categories:** Social media
- **Stats:** 236 total users, 1 monthly users, 88.2% runs succeeded, 8 bookmarks
- **User rating**: 4.50 out of 5 stars

## Pricing

$19.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## 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 User Following Scraper

#### How to use?

1. Create an [Apify](https://www.apify.com?fpr=hs6s8) account

2. Open [Twitter User Following Scraper](https://apify.com/twittapi/twitter-user-following-scraper?fpr=hs6s8)

3. Add Input parameters

4. Click the `Start` button and wait for the data to be extracted
   Download your data in JSON, XML, CSV, Excel, or HTML

#### Input parameters

```json
{
  "username": "elonmusk",
  "num": 50 // Maximum results that you want to scrape
}
```

#### Output

You can download the resulting dataset in various formats such as JSON, HTML, CSV, Excel or HTML. The structure of each object looks like this:

##### Output Example

```json
{
  "id": "95092020",
  "profile_image_url_https": "https://pbs.twimg.com/profile_images/1407056014776614923/TKBC60e1_normal.jpg",
  "name": "Dr Jordan B Peterson",
  "screen_name": "jordanbpeterson",
  "is_blue_verified": true,
  "verified_type": null,
  "description": "Best-Selling Author | Clinical Psychologist | #1 Education Podcast | Co-founder of @petersonacademy | Order my new book \"We Who Wrestle With God\" here:",
  "followers_count": 5966164,
  "friends_count": 1672,
  "favourites_count": 185,
  "media_count": 7345,
  "statuses_count": 51468,
  "listed_count": 14746,
  "created_at": "Sun Dec 06 23:33:02 +0000 2009",
  "profile_url": "https://x.com/jordanbpeterson"
}
```

#### Contact

We value your feedback and are here to assist you with any questions or concerns you may have. Feel free to reach out to us throught the following email: `twittapi.work@gmail.com`

# Actor input Schema

## `username` (type: `string`):

The username you want to get the data from

## `num` (type: `integer`):

Maximum number of following that you want to scrape

## Actor input object example

```json
{
  "username": "elonmusk",
  "num": 50
}
```

# 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 = {
    "username": "elonmusk"
};

// Run the Actor and wait for it to finish
const run = await client.actor("twittapi/twitter-user-following-scraper").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 = { "username": "elonmusk" }

# Run the Actor and wait for it to finish
run = client.actor("twittapi/twitter-user-following-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "username": "elonmusk"
}' |
apify call twittapi/twitter-user-following-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=twittapi/twitter-user-following-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/YwTsK2sb2F1wJRU29/builds/yRnzncU8m5xCCxDlI/openapi.json