# Instagram Fitness Influencers — Followers & Engagement Rate

**Use case:** 

Vet a shortlist of fitness creators on Instagram before an influencer campaign by comparing Pamela Reif, Chris Bumstead, Kayla Itsines and Whitney Simmons side by side. Each row contains the username, bio, followers, following, posts count, verified flag, bio links and analytics from the 10 latest posts: engagement rate, average likes, average comments, posts per week and the top post.

## Input

```json
{
  "urls": [
    "pamela_rf",
    "cbum",
    "kayla_itsines",
    "whitneyysimmons"
  ],
  "maxPosts": 10,
  "includePosts": true,
  "postDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "username": {
    "label": "Username",
    "format": "string"
  },
  "followersCount": {
    "label": "Followers",
    "format": "integer"
  },
  "analytics.postsAnalyzed": {
    "label": "Posts analyzed",
    "format": "number"
  },
  "analytics.avgLikes": {
    "label": "Avg likes",
    "format": "number"
  },
  "analytics.medianLikes": {
    "label": "Median likes",
    "format": "number"
  },
  "analytics.avgComments": {
    "label": "Avg comments",
    "format": "number"
  },
  "analytics.engagementRatePct": {
    "label": "Engagement %",
    "format": "number"
  },
  "analytics.postsPerWeek": {
    "label": "Posts / week",
    "format": "number"
  },
  "analytics.lastPostAt": {
    "label": "Last post",
    "format": "date"
  },
  "analytics.daysSinceLastPost": {
    "label": "Days since last post",
    "format": "number"
  },
  "analytics.contentMix.reel": {
    "label": "Reels",
    "format": "number"
  },
  "analytics.contentMix.carousel": {
    "label": "Carousels",
    "format": "number"
  },
  "analytics.contentMix.image": {
    "label": "Photos",
    "format": "number"
  },
  "analytics.contentMix.video": {
    "label": "Videos",
    "format": "number"
  },
  "analytics.topPost.url": {
    "label": "Top post",
    "format": "link"
  },
  "analytics.topPost.likesCount": {
    "label": "Top post likes",
    "format": "number"
  },
  "analytics.topPost.commentsCount": {
    "label": "Top post comments",
    "format": "number"
  },
  "analytics.collabPostsShare": {
    "label": "Collab share",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Instagram Profile Scraper Actor is ready to run with the inputs already set for "Instagram Fitness Influencers — Followers & Engagement Rate". [Sign up or log in](https://console.apify.com/create-task-from-example/eM87OfSosBEB4pWtq) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Instagram Fitness Influencers — Followers & Engagement Rate" task

The Instagram Profile Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 📸 instagram profiles, 🔢 posts per profile, and more, to match your specific use case.

### 3. Receive the "Instagram Fitness Influencers — Followers & Engagement Rate" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as username, followers, posts analyzed, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Instagram Fitness Influencers — Followers & Engagement Rate" task via API](https://apify.com/insights_data/instagram-profile-scraper.md).

## About this Actor

This example demonstrates how to use [Instagram Profile Scraper](https://apify.com/insights_data/instagram-profile-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/insights_data/instagram-profile-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/insights_data/instagram-profile-scraper.md

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`).