Facebook Comments Scraper
Pricing
$25.00/month + usage
Extract Facebook comments from any post, page, or group. Download hundreds of comments with user data and engagement metrics in JSON, CSV, or Excel format.
Pricing
$25.00/month + usage
Rating
5.0
(2)
Developer
DataVoyantLab
Maintained by CommunityActor stats
11
Bookmarked
662
Total users
7
Monthly active users
6.4 hours
Issues response
3 months ago
Last modified
Categories
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You can access the Facebook Comments 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 "url": "https://www.facebook.com/natgeo/posts/pfbid02stjvzcsfWYcQ9EVhNuCdSRnFCKwmJdi5rE9RFPwMoLbpH4uj8mNUBTbS6QCH7eYDl",10 "sort_type": "all",11 "min_delay": 3,12 "max_delay": 5,13 "proxy": {14 "useApifyProxy": True,15 "apifyProxyGroups": ["RESIDENTIAL"],16 "apifyProxyCountry": "US",17 },18}19
20# Run the Actor and wait for it to finish21run = client.actor("datavoyantlab/facebook-comments-scraper").call(run_input=run_input)22
23# Fetch and print Actor results from the run's dataset (if there are any)24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])25for item in client.dataset(run["defaultDatasetId"]).iterate_items():26 print(item)27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Facebook Comments Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: