# Instagram Profile Metrics Scraper (`glowing_glove/instagram-profile-analyzer`) Actor

Collect lightweight public Instagram profile metrics: username, bio, follower count, following count, and post count.

- **URL**: https://apify.com/glowing\_glove/instagram-profile-analyzer.md
- **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $24.00 / 1,000 profile metric rows

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Metrics Scraper

Collect fast, lightweight public Instagram profile metrics for creator research, brand checks, enrichment, and monitoring.

This actor is intentionally small-output and fast. It does not scrape post captions, post likes, post comments, reels, or media URLs. Use the detailed Instagram posts actor for that heavier workflow.

### Why Use This Actor

Instagram profile metrics are useful when you need a clean snapshot of public account size and profile positioning without downloading a heavy post archive. This actor is designed for marketers, agencies, ecommerce teams, creator researchers, and lead generation workflows that need simple profile rows they can compare, filter, and export.

Common workflows include:

- checking creator or influencer follower counts before outreach
- monitoring competitor profile growth over time with scheduled runs
- enriching a CRM or prospecting sheet with public Instagram profile links
- validating whether brand, location, or niche accounts are active enough to prioritize
- building lightweight dashboards for social research and campaign planning

### What You Get

- username
- full name when available
- bio when available
- follower count
- following count
- post count
- direct profile URL
- scrape timestamp

### Input

Add Instagram usernames such as `instagram`, `zuck`, or `natgeo`, or paste direct profile URLs. The actor processes profiles concurrently for faster batch runs.

You can provide:

- `usernames`: plain Instagram usernames without `@`
- `startUrls`: direct profile URLs copied from Instagram
- `maxProfiles`: a limit to keep large lists controlled
- `proxyConfiguration`: optional Apify Proxy settings for runs where direct requests are blocked

### Output

Each dataset item is one compact profile row. The row is designed for CSV, Excel, CRM enrichment, dashboards, and scheduled profile metric checks.

The output is intentionally normalized so it is easy to sort by followers, compare account size, join with lead lists, or append to monitoring history. Failed, private, renamed, removed, or blocked profiles are not padded with fake data; the actor focuses on returning clean rows only when useful public profile data is available.

### Best Practices

- Start with a small sample of usernames before running a large list.
- Use scheduled runs if you want weekly or monthly profile metric snapshots.
- Keep usernames clean and avoid duplicates for the most predictable output.
- Enable Apify Proxy if Instagram blocks direct requests from the run environment.
- Export the dataset as CSV or JSON when sending results to spreadsheets, CRMs, or dashboards.

### Pricing

This actor uses pay-per-event pricing. You are charged for delivered profile metric rows, so empty, blocked, or unavailable profiles should not create paid dataset rows.

### Notes

- Works only with public profile data available during the run.
- Private, removed, renamed, or blocked profiles may return no row.
- Enable Apify Proxy only when direct requests are blocked.
- Instagram can change public page behavior, so scheduled monitoring is the best way to detect changes early.

# 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. Use Apify Proxy if Instagram blocks direct requests for your run.

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

Maximum number of profile usernames or URLs to process in one run. Profiles are fetched concurrently for faster batches.

## Actor input object example

```json
{
  "usernames": [
    "instagram"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxProfiles": 50
}
```

# 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": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("glowing_glove/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": ["instagram"],
    "proxyConfiguration": { "useApifyProxy": True },
}

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/uQ2ln7bfvLF8FVi0u/builds/UcnlGiMWy0oxjba4K/openapi.json