# Instagram Profile Posts & Engagement Scraper (`glowing_glove/instagram-profile-post-engagement-scraper`) Actor

Collect public Instagram profile metrics plus recent post captions, links, timestamps, likes, comments, and engagement estimates.

- **URL**: https://apify.com/glowing\_glove/instagram-profile-post-engagement-scraper.md
- **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.79 / 1,000 profile engagement rows

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 Profile Posts & Engagement Scraper

Collect public Instagram profile metrics plus recent post-level signals for creator, brand, and content research.

This is the detailed version of the Instagram profile actor. It returns richer rows and is expected to be heavier than the lightweight profile metrics scraper.

### What You Get

- username, full name, bio, and external URL
- follower count, following count, and post count
- recent post count
- average recent likes
- average recent comments
- estimated recent engagement rate
- latest post URLs, captions, timestamps, image URLs, likes, comments, and video flags
- profile image URL and account flags when available

### Input

Add Instagram usernames or direct profile URLs. Use `maxPostsPerProfile` to control how many recent posts are included in each profile row. Keep batches smaller than the lightweight actor because detailed rows are larger.

### Output

Each dataset item is one profile row with a nested `latestPosts` array. This is useful for creator audits, competitor content research, influencer screening, and engagement snapshots.

### Notes

- Works only with public data available during the run.
- Recent post data depends on what Instagram exposes to public web requests at runtime.
- Enable Apify Proxy when direct requests are blocked.

# Actor input Schema

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

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

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

Specific Instagram profile URLs.

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

Optional. Enable Apify Proxy if direct Instagram requests are blocked for your run.

## `maxProfiles` (type: `integer`):

Maximum number of profile usernames or URLs to process in one run. This detailed actor returns recent post data for each profile.

## `maxPostsPerProfile` (type: `integer`):

Maximum number of recent posts to include for each profile. Set to 0 to return profile-level engagement fields without individual post objects.

## Actor input object example

```json
{
  "usernames": [
    "instagram"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "maxProfiles": 1,
  "maxPostsPerProfile": 3
}
```

# 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": [
        "instagram"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    },
    "maxProfiles": 1,
    "maxPostsPerProfile": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("glowing_glove/instagram-profile-post-engagement-scraper").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": ["instagram"],
    "proxyConfiguration": { "useApifyProxy": False },
    "maxProfiles": 1,
    "maxPostsPerProfile": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("glowing_glove/instagram-profile-post-engagement-scraper").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": [
    "instagram"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "maxProfiles": 1,
  "maxPostsPerProfile": 3
}' |
apify call glowing_glove/instagram-profile-post-engagement-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/kd1eEeaPAHRlOD1XS/builds/cQBNF7Pm1nxrraIaa/openapi.json