# Instagram Profile Analyzer (`seeb/instagram-profile-analyzer`) Actor

Run Instagram Profile Analyzer to collect structured public web data with source URLs, clean dataset rows, and guarded execution controls.

- **URL**: https://apify.com/seeb/instagram-profile-analyzer.md
- **Developed by:** [Techionik](https://apify.com/seeb) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 profile analysis rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Profile Snapshot Analyzer

Collect lightweight public Instagram profile snapshots for creator, brand, and audience research workflows.

Extract public Instagram profile signals in a lean format for profile research and lightweight audience analysis.

A high-performance, professional-grade solution for rapid extraction of Instagram profile data. This actor is engineered for speed and precision, allowing you to transform lists of usernames or direct URLs into structured data assets in seconds.

### 🚀 Key Features

- **Dual Input Logic:** Supports both raw usernames and full profile URLs without breaking link integrity.
- **High-Speed Execution:** Built on a lightweight Cheerio architecture for maximum concurrency and low latency.
- **Metric Precision:** Captures exact follower, following, and post counts, including decimal values (e.g., 1.1M).
- **Professional Output:** Delivers a noise-free dataset optimized for immediate analysis or integration.

### 📥 Input Configuration

The actor accepts the following input parameters:

| Field | Type | Description |
| :--- | :--- | :--- |
| **usernames** | Array | List of Instagram handles (e.g., `["zuck", "cristiano"]`). |
| **startUrls** | Array | Specific profile URLs (e.g., `[{"url": "https://instagram.com"}]`). |
| **proxyConfiguration** | Object | Residential proxies are highly recommended for stability. |

### 📤 Dataset Schema

Each scraped profile generates a clean, structured record:

| Field | Type | Description |
| :--- | :--- | :--- |
| **username** | String | The Instagram handle. |
| **followerCount** | String | Total followers (e.g., `107`, `1.1M`). |
| **followingCount** | String | Number of accounts followed. |
| **postsCount** | String | Total number of posts. |
| **url** | String | Clickable direct link to the profile. |

### 📊 Data View Overview

The results are displayed in a specialized **Profile Metrics** table, allowing you to compare account growth and audience size at a glance. All data is exportable in JSON, CSV, or Excel formats.

### 🛡️ Reliability

Designed for developers and marketing teams who need a dependable tool for social media auditing and competitive research without the complexity of browser-based automation.

# Actor input Schema

## `usernames` (type: `array`):

List of usernames to scrape (e.g., \['zuck']).

## `startUrls` (type: `array`):

Specific Instagram profile URLs.

## `proxyConfiguration` (type: `object`):

Required for Instagram.

## Actor input object example

```json
{
  "usernames": [
    "the_art_engineers"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "usernames": [
        "the_art_engineers"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("seeb/instagram-profile-analyzer").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 = {
    "usernames": ["the_art_engineers"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("seeb/instagram-profile-analyzer").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 '{
  "usernames": [
    "the_art_engineers"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call seeb/instagram-profile-analyzer --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/EWnCnwC3rTNh1Odxn/builds/rRnA3ds0NsmYe1KYu/openapi.json