# McDonald's Facebook Recommendations Extractor

**Use case:** 

Extract recommendation text, reviewer names, timestamps, public post URLs, and the current recommendation summary from McDonald's Facebook Page.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.facebook.com/McDonalds/reviews"
    }
  ],
  "maxItems": 10,
  "maxScrolls": 2,
  "scrollWaitMillis": 1500
}
```

## Output

```json
{
  "pageName": {
    "label": "Page",
    "format": "string"
  },
  "reviewerName": {
    "label": "Reviewer",
    "format": "string"
  },
  "recommends": {
    "label": "Recommends",
    "format": "boolean"
  },
  "text": {
    "label": "Recommendation text",
    "format": "string"
  },
  "timestampText": {
    "label": "Displayed timestamp",
    "format": "string"
  },
  "reviewUrl": {
    "label": "Review URL",
    "format": "string"
  },
  "reactionsCount": {
    "label": "Reactions",
    "format": "integer"
  },
  "commentsCount": {
    "label": "Comments",
    "format": "integer"
  },
  "recommendationPercent": {
    "label": "Recommendation percent",
    "format": "number"
  },
  "reviewCount": {
    "label": "Page review count",
    "format": "integer"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Facebook Page Recommendations Scraper](https://apify.com/automation-lab/facebook-page-recommendations-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/facebook-page-recommendations-scraper) to learn more, explore other use cases, and run it yourself.