Facebook Business Page Recommendation & Review Scraper

Get Facebook business page reviews by direct URL, business name search, or Page ID, with Recommended/Not Recommended status, owner replies, and filters for date, keyword, and recommendation status.

Open in Apify Store$0.99 / 1K on Free

Short answer

Facebook Business Page Recommendation & Review Scraper is an Apify Store Actor for Facebook data that returns 30 published output fields, including pageName, authorName, pageUrl, isRecommended. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 17 input settings, none required. It covers 3 of the 6 core Facebook fields this site tracks. Last updated Oct 22, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
Facebook Social mediaLead generationAutomation

What it returns

30 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • recordType
  • pageName
  • authorName
  • isRecommended
  • text
  • createdAt
  • reactionCount
  • commentCount
  • reviewUrl
  • reviewId
  • pageId
  • pageUrl
  • authorProfileUrl
  • authorProfileImageUrl
  • authorIdType
  • reviewTags
  • timestamp
  • reactionBreakdown
  • shareCount
  • topComments
  • ownerReplies
  • reviewPhotos
  • recommendPercent
  • reviewCount
  • followerCount
  • talkingAboutCount
  • page
  • errorType
  • error
  • scrapedAt

Not in the schema among the core Facebook fields: content, posted_at, location. The field matrix shows which other tools return them.

How it differs from the other Facebook Actors

Among the 10 catalogue Actors for Facebook with a published schema, only this one returns isRecommended, reactionCount, reviewTags, topComments, ownerReplies, recommendPercent, talkingAboutCount, errorType.

Pick another Actor if you need

Fields other Facebook catalogue Actors return that Facebook Business Page Recommendation & Review Scraper does not
ActorFields it addsPrice / 1K
Facebook Marketplace Listing & Price Extractor title, price, city, state $0.99
Facebook Business Page Finder by Keyword & City category, address, recommendPercentage, facebookUrl $0.99
Facebook Event Details & New-Event Monitor Scraper event_id, formatted_date, location_name, users_responded $0.99
Facebook Page Photo Gallery & Engagement Scraper photoId, photoUrl, thumbnailUrl, caption $0.99
Facebook Public Follower & Following Snapshot Tool profileId, profileTypename, collectionName, isVerified $0.99

Input

Input settings for Facebook Business Page Recommendation & Review Scraper
SettingTypeRequiredDefaultWhat it does
startUrls array No [] 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 No [] 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 No 100 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.
maxPerPage integer No – Optional cap per Facebook page for multi-page runs. Leave empty to share the global Max Reviews cap across pages.
includeReplies boolean No true Include the visible top comments and business owner replies inside each review row. When disabled, commentCount is still returned.
includePageSummary boolean No true 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 No false 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.
stateKey string No – Optional prefix for the key-value store key used by monitor mode. Each page's state is stored separately. Leave empty to use the page ID.
recommendation string No all Only return reviews with the selected recommendation status. Facebook uses binary Recommended / Not Recommended, not star ratings.
dateFrom string No – Only return reviews posted on or after this date. Reviews are newest-first, so collection stops when it passes this date.
Show the other 7 settings
More input settings for Facebook Business Page Recommendation & Review Scraper
SettingTypeRequiredDefaultWhat it does
dateTo string No – Only return reviews posted on or before this date.
keyword string No – Only return reviews whose text contains this word or phrase (case-insensitive).
requestDelayMs integer No 600 Pause between review requests. 500-800 ms is a polite pace and keeps long runs stable.
maxRuntimeSecs integer No 1800 Stop collecting after this many seconds and return what has been collected so far.
failOnEmpty boolean No false Mark the run as failed when no review rows are returned. Monitor-mode runs that legitimately have no new reviews never fail.
proxyConfiguration object No – Optional. Leave empty to let the actor choose automatically: it tries a direct connection first and only escalates through Apify Proxy if Facebook blocks the request. Change this only if you need a specific proxy setup.
cookies array No [] Optional Facebook cookies exported from a logged-in browser. They are not required and do not increase how many reviews Facebook serves per request; the actor returns real reviews without them.

Example input

Built from the input form's published example values and defaults.

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

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "startUrls": [
        {
            "url": "https://www.facebook.com/mcdonalds/reviews"
        }
    ],
    "pageIds": [],
    "maxItems": 5,
    "includeReplies": False,
    "includePageSummary": True,
    "onlyNew": False,
    "recommendation": "all",
    "requestDelayMs": 600,
    "maxRuntimeSecs": 1800,
    "failOnEmpty": False,
    "cookies": []
}

run = client.actor("nimbryxo-studio/facebook-business-page-recommendation-and-review").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "startUrls": [
        {
            "url": "https://www.facebook.com/mcdonalds/reviews"
        }
    ],
    "pageIds": [],
    "maxItems": 5,
    "includeReplies": false,
    "includePageSummary": true,
    "onlyNew": false,
    "recommendation": "all",
    "requestDelayMs": 600,
    "maxRuntimeSecs": 1800,
    "failOnEmpty": false,
    "cookies": []
};

const run = await client.actor("nimbryxo-studio/facebook-business-page-recommendation-and-review").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~facebook-business-page-recommendation-and-review/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"startUrls":[{"url":"https://www.facebook.com/mcdonalds/reviews"}],"pageIds":[],"maxItems":5,"includeReplies":false,"includePageSummary":true,"onlyNew":false,"recommendation":"all","requestDelayMs":600,"maxRuntimeSecs":1800,"failOnEmpty":false,"cookies":[]}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/facebook-business-page-recommendation-and-review",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Cost of Facebook Business Page Recommendation & Review Scraper results by Apify plan
Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Facebook routes

It ranks 3 of 10 catalogue Actors for Facebook on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

Route diagram for Facebook dataFacebook Marketplace Listing & Price Extractor: stops at 4 of the 10 fields shown; Facebook Business Page Finder by Keyword & City: stops at 6 of the 10 fields shown; Facebook Business Page Recommendation & Review Scraper: stops at 5 of the 10 fields shown; Facebook Event Details & New-Event Monitor Scraper: stops at 3 of the 10 fields shown; Other Store tools (6): stops at 9 of the 10 fields shown; Meta Graph API: limited, field coverage not compared.Facebookcontentposted atauthorlocationnameurlfacebookUrlpage.namepage.urlcommentsCount1234+API

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Official route: Meta Graph API

Limited access. The Graph API exposes data for apps and Pages you manage, plus some public Page data with approved permissions. It is not a general crawler of public posts.

No per-call fee is published for standard Graph API use; access depends on app review.

Official documentation

Other Store tools for Facebook

Reference only, from their public listings.

Other Store tools for Facebook
ToolFieldsPrice / 1K
Facebook Page Post & Comment Scraper21$2.50
Facebook Pages Posts PPR10$2.99
Facebook Pages Scraper24$12
Facebook Page Search Scraper · No Cookies7$7.00
Facebook page scraper–$5.00

What people use it for

  • Review monitoring
  • Recommendation analysis

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Questions people ask

How much does Facebook Business Page Recommendation & Review Scraper cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Facebook Business Page Recommendation & Review Scraper return?

Its published output schema lists 30 fields: recordType, pageName, authorName, isRecommended, text, createdAt, reactionCount, commentCount, reviewUrl, reviewId, pageId, pageUrl, and 18 more. A listed field is not guaranteed to be filled in every row.

What input does Facebook Business Page Recommendation & Review Scraper need?

No input is strictly required; the defaults run as is. Common settings: startUrls, pageIds, maxItems, maxPerPage, includeReplies, includePageSummary.

What are the alternatives to Facebook Business Page Recommendation & Review Scraper for Facebook?

10 catalogue Actors cover Facebook. Close alternatives: Facebook Marketplace Listing & Price Extractor; Facebook Business Page Finder by Keyword & City; Facebook Event Details & New-Event Monitor Scraper. The Facebook page compares all of them field by field.

How do I run Facebook Business Page Recommendation & Review Scraper from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("nimbryxo-studio/facebook-business-page-recommendation-and-review").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("nimbryxo-studio/facebook-business-page-recommendation-and-review").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/nimbryxo-studio~facebook-business-page-recommendation-and-review/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-10-22 Data synced 2026-11-12
Cite this page

Scraper Finder. "Facebook Business Page Recommendation & Review Scraper." https://scraperfinder.com/catalogue/facebook-business-page-recommendation-and-review/ (data checked 2026-11-12).

Run Facebook Business Page Recommendation & Review Scraper

$0.99 per 1,000 results. Paste the example input above, set your Facebook query, then export the dataset. Still choosing? Compare every Facebook route.

Open in Apify Store