Facebook Comments Scraper
3 days trial then $9.99/month - No credit card required now
Facebook Comments Scraper
3 days trial then $9.99/month - No credit card required now
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.
You can access the Facebook Comments Scraper programmatically from your own Python 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 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 "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 finish
21run = 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-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:
Actor Metrics
26 monthly users
-
1 star
81% runs succeeded
0.4 hours response time
Created in Oct 2024
Modified a day ago