# Instagram Engagement Scorer (`mraxes/instagram-engagement-scorer`) Actor

A high-speed Actor to calculate the engagement rate of any public Instagram profile.
It analyzes recent posts (likes, comments, views) to provide a reliable engagement score. Ideal for
scaling your influencer and competitor analysis.

- **URL**: https://apify.com/mraxes/instagram-engagement-scorer.md
- **Developed by:** [Mrakus Raxes](https://apify.com/mraxes) (community)
- **Categories:** Agents, Social media, Videos
- **Stats:** 67 total users, 0 monthly users, 100.0% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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 JSON object with a list of Instagram usernames. You can also optionally adjust the concurrency level.

**Input Example:**

```json
{
  "usernames": [
    "apify",
    "instagram",
    "cristiano"
  ],
  "concurrency": 100
}
```

| 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. Increasing this value speeds up the execution. | `100`   |

***

### 📤 Output

The Actor returns one result for each successfully analyzed profile.

**Output Example:**

```json
[{
  "username": "apify",
  "followers": 1633,
  "posts_analyzed": 12,
  "avg_engagement_score": 53,
  "engagement_rate_pct": 3.25,
  "error": null
}]
```

| Field                    | Type     | Description                                                                 |
|--------------------------|----------|---------------------------------------------------------------------------|
| `username`               | `String` | The username of the analyzed profile.                                       |
| `followers`              | `Number` | The total number of followers for the profile.                              |
| `posts_analyzed`         | `Number` | The number of recent posts analyzed (up to 12).                           |
| `avg_engagement_score`   | `Number` | The average number of interactions (likes + comments + views) per post.     |
| `engagement_rate_pct`    | `Number` | The engagement rate as a percentage. `(avg_engagement_score / followers) * 100` |
| `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`):

Cole aqui os usernames do Instagram, sem o @.

## Actor input object example

```json
{
  "usernames": [
    "kyliejenner",
    "justinbieber"
  ]
}
```

# 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": [
        "kyliejenner",
        "justinbieber"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mraxes/instagram-engagement-scorer").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": [
        "kyliejenner",
        "justinbieber",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("mraxes/instagram-engagement-scorer").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": [
    "kyliejenner",
    "justinbieber"
  ]
}' |
apify call mraxes/instagram-engagement-scorer --silent --output-dataset

```

## MCP server setup

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

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/DkYEqBfgznLiPpMxQ/builds/hhlel7nz18LNEkZyK/openapi.json