# Instagram Following Export to Excel (cookieless) (`monumental_world/instagram-following`) Actor

Instantly turn Instagram following lists into a ready-to-analyze Excel report. No coding required—perfect for building targeted marketing campaigns and audience insights.

- **URL**: https://apify.com/monumental\_world/instagram-following.md
- **Developed by:** [Raised Pro](https://apify.com/monumental_world) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 19 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

"# Instagram Following Export to Excel (cookieless)

### Introduction

Need to download Instagram data to Excel? This tool helps you extract Instagram following lists and export them directly to spreadsheet formats—no technical skills required. Designed specifically for social media agencies, marketing strategists, and business owners who need quick access to Instagram audience data for analysis and campaign planning.

### Step-by-Step Guide

**Step 1:** Enter the Instagram username, user ID, or profile URL of the account you want to analyze.

**Step 2:** Click ""Start"" to begin the extraction process. No Instagram login required—the tool works completely cookieless!

**Step 3:** Download your data instantly as Excel (.xlsx), CSV, or XML format. Open it in Excel, Google Sheets, or any spreadsheet application.

### What columns will I get?

Your download will include the following columns:

- **Account Username** - The Instagram handle
- **Account Full Name** - Display name on the profile
- **Account Bio** - Profile description text
- **Follower Count** - Total number of followers
- **Following Count** - Total number of accounts they follow
- **Post Count** - Number of posts published
- **Account Creation Date** - When the account was created
- **Is Verified** - Whether the account has a verification badge
- **Is Private** - Whether the account is set to private
- **Profile URL** - Direct link to the Instagram profile
- **Profile Category** - Account category (e.g., Travel Blogger, Business)
- **Last Post Date** - Date of their most recent post

### How to use this data

**Build Audience Personas:** Analyze follower demographics and interests to create detailed audience profiles for your marketing campaigns.

**Identify Influencer Partners:** Filter accounts by follower count and engagement metrics to find potential collaboration opportunities in your niche.

**Competitive Analysis:** Export competitor following lists to understand their audience composition and discover new targeting opportunities for your campaigns.

### Input Settings

Simply provide the **username** of the Instagram account you want to analyze.

**Example:** If you want to analyze Cristiano Ronaldo's following list, just enter `Ronaldo` in the username field.

You can also use:

- Full Instagram profile URL (e.g., https://instagram.com/ronaldo)
- User ID if you have it

**Max Items Setting:** Choose how many rows you want in your spreadsheet. Set a limit to get a quick sample, or select a higher number for comprehensive data extraction.

### Frequently Asked Questions

**Q: Do I need an Instagram account?**
A: No! This tool works without requiring you to log in to Instagram. It's completely cookieless and doesn't need your credentials.

**Q: Can I open this in Google Sheets?**
A: Yes, absolutely! Just upload the CSV file to Google Sheets, and all your data will import perfectly. You can also open Excel files directly in Google Sheets.

**Q: How current is the data?**
A: The data is extracted in real-time when you run the tool, so you're always getting the most up-to-date information available.

**Q: Is there a limit to how many accounts I can export?**
A: You can adjust the ""Max Items"" setting based on your needs. Start with a smaller number to test, then increase for full exports.

***

*Keywords: instagram scraper, instagram followers export, export instagram followers, instagram follower extraction, instagram followers data, lead generation instagram, instagram data extraction*"

# Actor input Schema

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

Instagram username, user ID, or profile URL

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

Maximum number of items to fetch per page

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

Maximum number of pages to fetch (pagination handled automatically)

## Actor input object example

```json
{
  "username": "cristiano",
  "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/instagram-following").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/instagram-following").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/instagram-following --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/XAsWwLHeKJxc7UbSp/builds/4MNFSHw1XWlFzt03i/openapi.json