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.What it returns
30 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
recordTypepageNameauthorNameisRecommendedtextcreatedAtreactionCountcommentCountreviewUrlreviewIdpageIdpageUrlauthorProfileUrlauthorProfileImageUrlauthorIdTypereviewTagstimestampreactionBreakdownshareCounttopCommentsownerRepliesreviewPhotosrecommendPercentreviewCountfollowerCounttalkingAboutCountpageerrorTypeerrorscrapedAt
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
| Actor | Fields it adds | Price / 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
| Setting | Type | Required | Default | What 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
| Setting | Type | Required | Default | What 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.
| Apify plan | Per 1,000 | 10,000 results | 100,000 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.
- 1 Facebook Marketplace Listing & Price Extractor 75 output fields, pay per event 3 of 6 core fields
$0.99 / 1K - 2 Facebook Business Page Finder by Keyword & City 25 output fields, pay per event 3 of 6 core fields
$0.99 / 1K - 3 Facebook Business Page Recommendation & Review Scraper 30 output fields, pay per event 3 of 6 core fields
$0.99 / 1K - 4 Facebook Event Details & New-Event Monitor Scraper 7 output fields, pay per event 3 of 6 core fields
$0.99 / 1K - + 6 other Store tools, combined Reference only 5 of 6 core fields
from $2.50 / 1K - API Meta Graph API Limited access fields not compared
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.
Other Store tools for Facebook
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| Facebook Page Post & Comment Scraper | 21 | $2.50 |
| Facebook Pages Posts PPR | 10 | $2.99 |
| Facebook Pages Scraper | 24 | $12 |
| Facebook Page Search Scraper · No Cookies | 7 | $7.00 |
| Facebook page scraper | – | $5.00 |
What people use it for
- Review monitoring
- Recommendation analysis
Other catalogue Actors for Facebook
Facebook Marketplace Listing & Price Extractor
Extract public Facebook Marketplace listings by city feed, category, keyword search, or direct item URL, with price, location, photos, delivery…
Facebook Business Page Finder by Keyword & City
Find Facebook business pages by direct URL, or discover them by keyword and city, and get names, categories, addresses, follower counts, contact…
Facebook Event Details & New-Event Monitor Scraper
Fetch public Facebook event details by URL, page listing, or keyword/city search, with venue GPS, hosts, ticket links, and a monitor mode that…
Facebook Page Photo Gallery & Engagement Scraper
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Facebook Public Follower & Following Snapshot Tool
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Facebook Page & Profile Finder by Keyword or URL
Find Facebook Pages or public profiles by keyword, or scrape a list of Facebook URLs directly, and get back contact info, category, ratings,…
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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
- Facebook Business Page Recommendation & Review Scraper on Apify Store
- Published build with input and output schema (JSON)
- Meta Graph API documentation
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.