Facebook Business Page Recommendation & Review Scraper: MCP config, n8n workflow and API

{
  "startUrls": [
    {
      "url": "https://www.facebook.com/mcdonalds/reviews"
    }
  ],
  "maxItems": 5,
  "includeReplies": false,
  "includePageSummary": true,
  "onlyNew": false,
  "recommendation": "all",
  "requestDelayMs": 600,
  "maxRuntimeSecs": 1800,
  "failOnEmpty": false
}

---
name: facebook-business-page-recommendation-and-review
description: "Review rows with recommendation status, author details, reactions, tags, comments and owner replies, plus one page-summary row per page and error rows. Runs the Apify Actor nimbryxo-studio/facebook-business-page-recommendation-and-review. Use when the user needs Facebook data with fields such as recordType, pageName, authorName, isRecommended, text, createdAt and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "nimbryxo-studio/facebook-business-page-recommendation-and-review"
  store-url: "https://apify.com/nimbryxo-studio/facebook-business-page-recommendation-and-review"
---

# Facebook Business Page Recommendation & Review Scraper

Use this skill to fetch Facebook data with the Apify Actor `nimbryxo-studio/facebook-business-page-recommendation-and-review` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `startUrls` | array | Facebook business page URLs or /reviews URLs (e.g. https://www.facebook.com/mcdonalds/reviews). /reviews is added automatically when missing. Invalid or dead page URLs fail fast instead of being guessed. |
| `pageIds` | array | Numeric Facebook Page IDs (e.g. 100064458773195) or page usernames (e.g. mcdonalds). Use this when you do not have a full URL. |
| `maxItems` | integer | Maximum number of review rows to return across all pages (1-2000). Facebook returns roughly 2-3 reviews per request (about 2.7 on average) even when a larger count is requested, so 100 reviews needs about 35-40 requests. |
| `includeReplies` | boolean | Include the visible top comments and business owner replies inside each review row. When disabled, commentCount is still returned. |
| `includePageSummary` | boolean | Emit one recordType=page row per page with the recommendation percentage, total review count, followers, and talking-about count. This adds no extra requests. |
| `onlyNew` | boolean | Return only reviews not seen in the saved state for this page. The state is stored in a named key-value store that persists across runs, so scheduled runs can monitor for new reviews. |
| `recommendation` | one of `all`, `recommended`, `not` | Only return reviews with the selected recommendation status. Facebook uses binary Recommended / Not Recommended, not star ratings. |
| `requestDelayMs` | integer | Pause between review requests. 500-800 ms is a polite pace and keeps long runs stable. |
| `maxRuntimeSecs` | integer | Stop collecting after this many seconds and return what has been collected so far. |
| `failOnEmpty` | boolean | Mark the run as failed when no review rows are returned. Monitor-mode runs that legitimately have no new reviews never fail. |

Example `input.json` (the Actor's published prefill):

```json
{
  "startUrls": [
    {
      "url": "https://www.facebook.com/mcdonalds/reviews"
    }
  ],
  "maxItems": 5,
  "includeReplies": false,
  "includePageSummary": true,
  "onlyNew": false,
  "recommendation": "all",
  "requestDelayMs": 600,
  "maxRuntimeSecs": 1800,
  "failOnEmpty": false
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~facebook-business-page-recommendation-and-review/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/nimbryxo-studio~facebook-business-page-recommendation-and-review/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `recordType`, `pageName`, `authorName`, `isRecommended`, `text`, `createdAt`, `reactionCount`, `commentCount`, `reviewUrl`, `reviewId`, `pageId`, `pageUrl`, `authorProfileUrl`, `authorProfileImageUrl`, `authorIdType`, `reviewTags`, `timestamp`, `reactionBreakdown`, `shareCount`, `topComments`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.