Facebook Comments Data
Pay $0.25 for 1,000 Comments
Facebook Comments Data
Pay $0.25 for 1,000 Comments
Our Facebook Comments Scraper extracts real-time comments from Facebook posts, including text, timestamp, author details, engagement metrics, and other insights. Download the data in formats such as JSON, CSV, Excel, or XML. Fast, accurate, and designed for in-depth analysis and actionable insights.
Axesso - Data ServiceActor Metrics
3 monthly users
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>99% runs succeeded
Created in Mar 2025
Modified 3 days ago
You can access the Facebook Comments Data 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 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 = { "input": [
9 {
10 "feedbackId": "ZmVlZGJhY2s6Njg5OTU1OTc3MDI2OTQ5",
11 "maxComments": 50,
12 },
13 {
14 "feedbackId": "ZmVlZGJhY2s6NjkxNjYxNzIwMTg5NzA4",
15 "maxComments": 50,
16 },
17 ] }
18
19# Run the Actor and wait for it to finish
20run = client.actor("axesso_data/facebook-comments-data").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25 print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startFacebook Comments Data API in Python
The Apify API client for Python is the official library that allows you to use Facebook Comments Data API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
