
Facebook Comments Scraper
Pricing
Pay per event

Facebook Comments Scraper
Extract comments from Facebook posts provided as input URLs. Retrieve comment text, authors, timestamps, reactions, and more. Ideal for social media monitoring, sentiment analysis, and engagement tracking. 🚀
0.0 (0)
Pricing
Pay per event
2
Total users
58
Monthly users
39
Runs succeeded
90%
Issue response
13 hours
Last modified
19 days ago
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 "postUrls": [10 "https://www.facebook.com/NFL/posts/pfbid037dWXDmChUtBRycRAoowDn6oSsv5Qjnr5ZC4tbAYGTtPeJuWGS27JgqsdpjdR1Hwzl",11 "https://www.facebook.com/oldmillartsOMA/posts/pfbid02gEbMLP6JZfCfyjh62nC7VkxYhtzp1heiTTnrAW57qNnZZ7r2Z31Ponn6tfPooRJyl",12 ],13 "resultsLimit": 20,14}15
16# Run the Actor and wait for it to finish17run = client.actor("scraper_one/facebook-comments-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Facebook Comments Scraper API in Python
The 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-client
Other API clients include: