Pricing

from $1.50 / 1,000 reviews

Facebook Reviews Scraper✨

✨ Scrape Facebook reviews from usernames, Page URLs, or direct reviews links. Output includes review ID, permalink, date, recommendation status, review text, tags, likes, comments, reviewer details, nested comments, replies, page URL and ID, and source context ✨ Facebook Reviews Scraper 🔍

Pricing

from $1.50 / 1,000 reviews

Rating

0.0

(0)

Developer

Premium Scraper

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Social media

Lead generation

Automation

You can access the Facebook Reviews Scraper✨ programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "username": ["copperkettleyqr"],
10    "facebook_urls": [
11        { "url": "https://www.facebook.com/CastleValleyMill" },
12        { "url": "https://www.facebook.com/hotelkavitaha/reviews" },
13    ],
14    "max_reviews": 10,
15    "comments_limit": 10,
16    "comment_replies_limit": 10,
17    "comment_filter": "most_relevant",
18    "proxyCountry": "US",
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("premiumscraper/facebook-reviews-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Reviews Scraper✨ API in Python

The Apify API client for Python is the official library that allows you to use Facebook Reviews Scraper✨ API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Reviews Scraper✨ API in JavaScript

Facebook Reviews Scraper✨ API through CLI

Facebook Reviews Scraper✨ OpenAPI definition

Facebook Reviews Scraper✨ API

Scrape Facebook Page Reviews by Page ID - Cookieless

patient_discovery/facebook-page-reviews

Extract Facebook page reviews without login or cookies. Get ratings, recommendation status, review text, reactions, photos, and reviewer profiles in JSON or CSV. Ideal for sentiment analysis, reputation monitoring, competitive intelligence, and customer feedback research at scale.

Surge Street

Facebook Reviews Scraper

api-empire/facebook-reviews-scraper

Facebook Reviews Scraper extracts reviews from any public Facebook page. Capture reviewer names, ratings, comments, timestamps, and sentiment details. Ideal for brand monitoring, customer analysis, market research, and workflows that need clean structured review data.

API Empire

Facebook Reviews Scraper

parseforge/facebook-reviews-scraper

Scrape reviews from any Facebook page. Get review text, recommendation status, reviewer profiles, engagement metrics, tags, and page-level stats. Supports multi-page runs with automatic pagination. No login required. Export to JSON, CSV, or connect via integrations.

ParseForge

Facebook Reviews Scraper

simpleapi/facebook-reviews-scraper

Facebook Reviews Scraper extracts reviews from Facebook Pages, capturing reviewer names, ratings, comments, timestamps, and helpfulness details. Ideal for sentiment analysis, brand monitoring, customer research, and automating structured Facebook review data collection at scale.

SimpleAPI

Facebook Reviews Scraper

scraply/facebook-reviews-scraper

⭐ Facebook Reviews Scraper extracts public Facebook Page reviews — ratings, review text, reviewer, date, photos, reactions & owner replies. 📊 Export CSV/JSON for sentiment, CX, social proof, or competitor research. 🚀 Ideal for marketers, agencies & local SEO.

Scraply

Facebook Reviews Scraper

scrapier/facebook-reviews-scraper

Scrape Facebook page reviews with the Facebook Reviews Scraper. Extract reviewer names, ratings, comments, timestamps, and helpfulness reactions. Ideal for sentiment analysis, market research, and brand monitoring. Fast, accurate, and scalable for single or multiple pages.

Scrapier

Facebook Page Reviews Scraper

igview-owner/facebook-page-reviews-scraper

Scrape Facebook page reviews in minutes. Extract ratings, review text, author details, reactions, tags and sentiment from public pages. Perfect for reputation monitoring, competitor analysis, and customer feedback reports.

Sachin Kumar Yadav

Facebook Reviews Scraper

apify/facebook-reviews-scraper

Extract data from hundreds of Facebook reviews from one or multiple Facebook pages. Get review text, timestamp, review URL, likes and comments count and basic reviewer info. Download the data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports.

Apify

2.2K

4.4

Facebook Page Reviews Scraper · No Cookies

data-slayer/facebook-page-reviews

Extract customer reviews from any Facebook page without login. Get review text, recommendation status, reviewer profiles, reaction counts, photos, and tags. No cookies, no authentication. Perfect for sentiment analysis and reputation monitoring. JSON/CSV/Excel export.