# Twitter (X) Followers Export to Excel (cookieless) (`monumental_world/twitter-followers`) Actor

Instantly turn Twitter (X.com) follower lists into an Excel-ready CSV report. No coding required—perfect for influencer collaboration and audience demographic analysis.

- **URL**: https://apify.com/monumental\_world/twitter-followers.md
- **Developed by:** [Raised Pro](https://apify.com/monumental_world) (community)
- **Categories:** Social media, Automation, Lead generation
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## 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/platform/actors/running/actors-in-store#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.com) Followers Export to Excel (no login needed)

### Introduction

Need to download Twitter (X.com) follower data to Excel? This tool helps you extract complete follower lists from any public Twitter account and export them directly to spreadsheet format. Designed specifically for social media influencers, marketing agencies, and business owners who need to analyze audiences and identify collaboration opportunities—all without requiring a Twitter login or any technical skills.

### Step-by-Step Guide

**Step 1:** Enter the Twitter username you want to analyze (for example: ""elonmusk"")

**Step 2:** Click ""Start"" to begin extracting follower data (No login or API keys required)

**Step 3:** Download your complete follower list as Excel, CSV, or XML format and open it in your favorite spreadsheet application

### What columns will I get?

Your download will include the following columns:

- **User ID** - Unique identifier for each follower
- **Follower Username** - The Twitter handle of each follower
- **Follower Join Date** - When the follower created their Twitter account
- **Follower Count** - How many followers this account has
- **Following Count** - How many accounts this follower is following
- **Profile Verified** - Whether the account has a verified badge
- **Last Active Date** - Most recent activity timestamp
- **Engagement Rate** - Percentage showing how actively they engage with content
- **Location Country** - Geographic location of the follower
- **Account Type** - Whether it's a personal or business account
- **Total Posts** - Number of tweets posted by this follower
- **Profile Completion** - Percentage showing how complete their profile is

### How to use this data

Here are three simple ways to put your follower data to work:

**1. Identify High-Value Collaboration Partners:** Sort your Excel file by follower count and engagement rate to find influential accounts in your target audience. Reach out to these users for potential partnerships, guest posts, or brand collaborations.

**2. Analyze Audience Demographics:** Use the location and account type columns to understand where your target account's followers are located and whether they're personal users or businesses. This helps you tailor your content strategy and identify geographic markets worth targeting.

**3. Build Targeted Outreach Lists:** Filter followers by verification status, engagement rate, and profile completion to create curated lists of active, authentic accounts. Export these segments for email campaigns, direct messaging, or influencer marketing initiatives.

### Input Settings

**Username:** Simply enter the Twitter handle of the account whose followers you want to export. Don't include the @ symbol—just type the username exactly as it appears in the profile URL.

For example, if you want to analyze Elon Musk's followers, just enter: `elonmusk`

The tool will automatically fetch all available follower data from that public profile and organize it into your spreadsheet.

### Frequently Asked Questions

**Q: Do I need a Twitter (X.com) account to use this tool?**

A: No! This tool works without requiring any login credentials. You can extract follower data from any public Twitter account without signing in.

**Q: Can I open this in Google Sheets?**

A: Yes, absolutely! Just download the CSV format and upload it directly to Google Sheets. You can also open Excel files in Google Sheets by importing them through the File menu.

**Q: How many followers can I export at once?**

A: You can export as many followers as you need. The tool will gather all available follower data from the account you specify.

**Q: Is this data updated in real-time?**

A: Yes, the tool pulls current data at the moment you run the export, so you're always getting the most up-to-date follower information.

**Q: Can I use this for competitor research?**

A: Definitely! Many influencers and marketers use this tool to analyze competitor audiences, identify overlap in followers, and discover new collaboration opportunities.

***

*Related tools: instagram scraper, get instagram followers, instagram followers export, scrape instagram followers, follower extraction tool, social media data scraping, lead generation from followers*"

# 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("monumental_world/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 = {}

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/g75ZdeWXj83RenZFi/builds/KV89goSmvbtazzrK1/openapi.json