# Export Facebook Review Discussion Counts for Review

**Use case:** 

Collect available comment, reaction and share counts beside Facebook review text to help select discussions for closer manual review. Use counts as context before opening the source review. Missing counts are not evidence of inactivity, and this task returns review records rather than comment text.

## Input

```json
{
  "inputList": [
    "Meta"
  ],
  "pagesPerProfile": 1
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "id": {
    "label": "ID",
    "format": "string"
  },
  "recommendation_id": {
    "label": "Recommendation ID",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "timestamp": {
    "label": "Timestamp",
    "format": "integer"
  },
  "published_at": {
    "label": "Published At",
    "format": "string"
  },
  "recommendation_text": {
    "label": "Recommendation Text",
    "format": "string"
  },
  "recommendation": {
    "label": "Recommendation",
    "format": "string"
  },
  "is_recommended": {
    "label": "Is Recommended",
    "format": "boolean"
  },
  "rating": {
    "label": "Rating",
    "format": "integer"
  },
  "reactions_count": {
    "label": "Reactions Count",
    "format": "integer"
  },
  "comments_count": {
    "label": "Comments Count",
    "format": "integer"
  },
  "shares_count": {
    "label": "Shares Count",
    "format": "integer"
  },
  "reviewer.id": {
    "label": "Reviewer / ID",
    "format": "text"
  },
  "reviewer.page_id": {
    "label": "Reviewer / Page ID",
    "format": "text"
  },
  "reviewer.username": {
    "label": "Reviewer / Username",
    "format": "text"
  },
  "reviewer.name": {
    "label": "Reviewer / Name",
    "format": "text"
  },
  "reviewer.url": {
    "label": "Reviewer / URL",
    "format": "link"
  },
  "reviewer.profile_picture_url": {
    "label": "Reviewer / Profile Picture URL",
    "format": "image"
  },
  "reviewer.is_verified": {
    "label": "Reviewer / Is Verified",
    "format": "boolean"
  },
  "reactions.id": {
    "label": "Reactions / ID",
    "format": "array"
  },
  "reactions.type": {
    "label": "Reactions / Type",
    "format": "array"
  },
  "reactions.count": {
    "label": "Reactions / Count",
    "format": "array"
  },
  "media.id": {
    "label": "Media / ID",
    "format": "array"
  },
  "media.type": {
    "label": "Media / Type",
    "format": "array"
  },
  "media.url": {
    "label": "Media / URL",
    "format": "array"
  },
  "media.image_url": {
    "label": "Media / Image URL",
    "format": "array"
  },
  "media.thumbnail_url": {
    "label": "Media / Thumbnail URL",
    "format": "array"
  },
  "media.video_url_hd": {
    "label": "Media / Video URL HD",
    "format": "array"
  },
  "media.video_url_sd": {
    "label": "Media / Video URL SD",
    "format": "array"
  },
  "media.dash_manifest_url": {
    "label": "Media / Dash Manifest URL",
    "format": "array"
  },
  "media.dash_manifest": {
    "label": "Media / Dash Manifest",
    "format": "array"
  },
  "media.duration_ms": {
    "label": "Media / Duration Ms",
    "format": "array"
  },
  "media.width": {
    "label": "Media / Width",
    "format": "array"
  },
  "media.height": {
    "label": "Media / Height",
    "format": "array"
  },
  "media.alt_text": {
    "label": "Media / Alt Text",
    "format": "array"
  },
  "media.captions_url": {
    "label": "Media / Captions URL",
    "format": "array"
  },
  "source_profile.id": {
    "label": "Source Profile / ID",
    "format": "text"
  },
  "source_profile.page_id": {
    "label": "Source Profile / Page ID",
    "format": "text"
  },
  "source_profile.username": {
    "label": "Source Profile / Username",
    "format": "text"
  },
  "source_profile.name": {
    "label": "Source Profile / Name",
    "format": "text"
  },
  "source_profile.url": {
    "label": "Source Profile / URL",
    "format": "link"
  },
  "source_profile.profile_picture_url": {
    "label": "Source Profile / Profile Picture URL",
    "format": "image"
  },
  "source_profile.is_verified": {
    "label": "Source Profile / Is Verified",
    "format": "boolean"
  },
  "rating_text": {
    "label": "Rating Text",
    "format": "string"
  },
  "recommend_percent": {
    "label": "Recommend Percent",
    "format": "integer"
  },
  "reviews_total": {
    "label": "Reviews Total",
    "format": "integer"
  }
}
```

## About this Actor

This example demonstrates how to use [Facebook Page Reviews Scraper – Recommendations](https://apify.com/scrapingmonkey/facebook-page-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/facebook-page-reviews-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/scrapingmonkey/facebook-page-reviews-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`).