Facebook Reviews Scraper
Pricing
Pay per event
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.
4.5 (4)
Pricing
Pay per event
28
Total users
1.1K
Monthly users
98
Runs succeeded
>99%
Last modified
a day ago
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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "startUrls": [{ "url": "https://www.facebook.com/copperkettleyqr/reviews" }],10 "resultsLimit": 10,11}12
13# Run the Actor and wait for it to finish14run = client.actor("apify/facebook-reviews-scraper").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 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-clientOther API clients include:
