Facebook Comments Scraper
7 days trial then $40.00/month - No credit card required now
Facebook Comments Scraper
7 days trial then $40.00/month - No credit card required now
Extract data from hundreds of Facebook comments from one or multiple Facebook posts. Get comment text, timestamp, likes count and basic commenter info. Download the data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports.
Do you want to learn more about this Actor?
Get a demoYou 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 "startUrls": [{ "url": "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl" }],
10 "resultsLimit": 50,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("apify/facebook-comments-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 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
532 monthly users
-
69 stars
>99% runs succeeded
3.3 days response time
Created in Nov 2022
Modified 8 hours ago