# Facebook Page Posts: Coca-Cola, Pepsi & Red Bull Engagement

**Use case:** 

Track how the biggest soft-drink brands perform on Facebook by collecting the newest public posts from the Coca-Cola, Pepsi and Red Bull pages for competitor analysis. Each row contains the post text, publish time, post type, total reactions split by type, comment and share counts, engagement rate, media links, the first comments, the page's follower count and a link to the post.

## Input

```json
{
  "urls": [
    "https://www.facebook.com/CocaCola/",
    "https://www.facebook.com/pepsi/",
    "https://www.facebook.com/RedBull/"
  ],
  "maxPostsPerSource": 5,
  "maxPostsTotal": 15,
  "groupSort": "new_posts",
  "includeComments": true,
  "maxCommentsPerPost": 3,
  "commentsSortOrder": "most_relevant",
  "includeReplies": false,
  "maxRepliesPerComment": 1,
  "includeVideoDetails": true,
  "includeVideoTranscript": false,
  "includeFullAlbums": false,
  "includeSourceInfo": true,
  "outputFormat": "full"
}
```

## Output

```json
{
  "time": {
    "label": "Published at",
    "format": "string"
  },
  "pageName": {
    "label": "Page name",
    "format": "string"
  },
  "postType": {
    "label": "Post type",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "likes": {
    "label": "Reactions",
    "format": "integer"
  },
  "comments": {
    "label": "Comments",
    "format": "integer"
  },
  "shares": {
    "label": "Shares",
    "format": "integer"
  },
  "url": {
    "label": "Post URL",
    "format": "string"
  }
}
```

## How it works

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

The Facebook Post Scraper Actor is ready to run with the inputs already set for "Facebook Page Posts: Coca-Cola, Pepsi & Red Bull Engagement". [Sign up or log in](https://console.apify.com/create-task-from-example/kgOt3eMALaOPJIVPb) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Facebook Page Posts: Coca-Cola, Pepsi & Red Bull Engagement" task

The Facebook Post Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 facebook urls, 🔢 max posts per source, and more, to match your specific use case.

### 3. Receive the "Facebook Page Posts: Coca-Cola, Pepsi & Red Bull Engagement" 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 published at, page name, post type, 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 "Facebook Page Posts: Coca-Cola, Pepsi & Red Bull Engagement" task via API](https://apify.com/insights_data/facebook-post-scraper.md).

## About this Actor

This example demonstrates how to use [Facebook Post Scraper](https://apify.com/insights_data/facebook-post-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/insights_data/facebook-post-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/facebook-post-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`).