# Insta pro analisation (`mraxes/insta-pro-analisation`) Actor

- **URL**: https://apify.com/mraxes/insta-pro-analisation.md
- **Developed by:** [Mrakus Raxes](https://apify.com/mraxes) (community)
- **Categories:** Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$80.00/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. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## Instagram Engagement Rate Calculator

This Apify Actor calculates the engagement rate of any public Instagram profile quickly and efficiently. It does not require a login or cookies, using the platform's public endpoint to extract the data.

The Actor is designed to be robust and scalable, making it ideal for analyzing large lists of profiles for market research, influencer analysis, and competitive studies.

### ✨ Features

- **No Login Required:** Does not require your Instagram credentials.
- **Analyzes Last 12 Posts:** Provides a recent and relevant overview of engagement.
- **Comprehensive Engagement Metric:** The calculation includes likes, comments, and, for videos, view counts.
- **High Speed:** Processes hundreds of profiles simultaneously with configurable concurrency.
- **Robust and Reliable:** Uses the Apify residential proxy network and implements an automatic retry system to handle network errors.
- **Monetization-Ready:** Optimized for the Pay-per-result (PPR) model.

***

### 💰 Cost of Usage & Monetization

This Actor is monetized using the **Pay-per-result (PPR)** model.

- **Actor Price:** **$0.50 per 1,000 successfully analyzed profiles**.
- **Apify Platform Costs:** In addition to the Actor's price, you will also be charged for Apify platform usage costs (such as Residential Proxy usage and Compute Units).

You only pay for profiles that are successfully processed and return data. Profiles that result in an error after all retries are not counted towards the cost.

***

### 📥 Input

The Actor requires a list of Instagram usernames and allows you to configure the proxy settings and concurrency.

**Input Example:**

```json
{
  "usernames": [
    "apify",
    "instagram"
  ],
  "concurrency": 50,
  "proxyGroup": "RESIDENTIAL"
}
```

| Field         | Type             | Description                                                                                                                                                           | Default       |
|---------------|------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------|
| `usernames`   | `Array<string>`  | **Required.** A list of Instagram profile usernames to be analyzed.                                                                                                   | `[]`          |
| `concurrency` | `Number`         | **Optional.** The number of profiles to process in parallel. A lower number is slower but less likely to be blocked.                                                  | `50`          |
| `proxyGroup`  | `String`         | **Optional.** The name of the Apify proxy group to use. To find your available group names, go to the Proxy section in your Apify dashboard. To disable proxies, enter `NONE`. | `RESIDENTIAL` |

***

### 📤 Output

The Actor returns one result for each successfully analyzed profile, containing detailed information.

**Output Example:**

```json
[{
  "username": "apify",
  "followers": 1633,
  "following": 12,
  "profile_pic_url_hd": "https://.../",
  "biography": "Apify is a web scraping and automation platform...",
  "external_url": "https://apify.com/",
  "business_email": "support@apify.com",
  "business_phone_number": null,
  "category_name": "Technology Company",
  "posts_analyzed": 12,
  "avg_likes": 45,
  "avg_comments": 8,
  "avg_video_views": 0,
  "engagement_rate_pct": 3.25,
  "recent_posts": [
    {
      "url": "https://www.instagram.com/p/Cxyz.../",
      "likes": 50,
      "comments": 10,
      "video_views": null,
      "caption": "Check out our new feature!",
      "thumbnail_src": "https://.../"
    }
  ],
  "error": null
}]
```

| Field                    | Type     | Description                                                                 |
|--------------------------|----------|---------------------------------------------------------------------------|
| `username`               | `String` | The username of the analyzed profile.                                       |
| `followers`              | `Number` | The total number of followers for the profile.                              |
| `following`              | `Number` | The total number of accounts the profile is following.                      |
| `profile_pic_url_hd`     | `String` | URL to the high-definition profile picture.                                 |
| `biography`              | `String` | The user's profile biography, if available.                                 |
| `external_url`           | `String` | The external website link from the bio, if available.                       |
| `business_email`         | `String` | The user's public business email, if available.                             |
| `business_phone_number`  | `String` | The user's public business phone number, if available.                      |
| `category_name`          | `String` | The category of the profile (e.g., "Technology Company").                 |
| `posts_analyzed`         | `Number` | The number of recent posts analyzed (up to 12).                           |
| `avg_likes`              | `Number` | The average number of likes per post.                                       |
| `avg_comments`           | `Number` | The average number of comments per post.                                    |
| `avg_video_views`        | `Number` | The average number of views for video posts.                                |
| `engagement_rate_pct`    | `Number` | The engagement rate as a percentage. `(avg_engagement_score / followers) * 100` |
| `recent_posts`           | `Array`  | A list containing details of the last 12 posts.                             |
| `error`                  | `String` | If an error occurs, this field will contain the description. Otherwise, it will be `null`. |

***

### ⚠️ Disclaimer

This Actor is not an official product of Instagram. It was developed independently to extract public data. Use it responsibly and in compliance with the terms of service of both Apify and Instagram.

# Actor input Schema

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

Enter a list of Instagram usernames to scrape.

## `concurrency` (type: `integer`):

Number of profiles to process in parallel. Higher concurrency is faster but may increase the chance of blocks.

## `proxyType` (type: `string`):

Enter the exact name of your proxy group from the Apify dashboard (e.g., RESIDENTIAL). To disable proxies, enter NONE.

## Actor input object example

```json
{
  "usernames": [
    "apify",
    "instagram"
  ],
  "concurrency": 50,
  "proxyType": "RESIDENTIAL"
}
```

# 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": [
        "apify",
        "instagram"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mraxes/insta-pro-analisation").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": [
        "apify",
        "instagram",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("mraxes/insta-pro-analisation").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 '{
  "usernames": [
    "apify",
    "instagram"
  ]
}' |
apify call mraxes/insta-pro-analisation --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mraxes/insta-pro-analisation"
        }
    }
}

```

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/A3tcKk5roxsE2ICFb/builds/rFishkdiCAnh1KWgq/openapi.json
