Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics

Pricing

from $0.80 / 1,000 results

Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics

✨ Get all Videos, Reels, Posts, Groups — and all their comments — in one click. Fast, clean, and effortless. Works with multiple URLs and supports every Facebook link format. Download data in JSON, CSV, Excel for use in apps, spreadsheets, and reports.

Pricing

from $0.80 / 1,000 results

Rating

0.0

(0)

Developer

TheDoor

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

18 hours ago

Last modified

Categories

Developer tools

Automation

Social media

You can access the Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = { "postUrls": [
9        "https://www.facebook.com/cnn/posts/pfbid0HhiQWrizKWmntpi9m1xzXQT4cC8iYLWqL4xbQDfXMRPhSeAymTXEqfQGP7memBvZl",
10        "https://www.facebook.com/groups/471031505578907/permalink  /872874035394650",
11        "https://www.facebook.com/watch/?v=1510975140138256",
12        "https://www.facebook.com/reel/1397741784161219",
13        "https://www.facebook.com/share/r/17SLmK3Z9c/",
14    ] }
15
16# Run the Actor and wait for it to finish
17run = client.actor("thedoor/facebook-comment-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 Comment Extractor 🗨️⚡: Data, Details & Analytics API in Python

The Apify API client for Python is the official library that allows you to use Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics API in JavaScript

Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics API through CLI

Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics OpenAPI definition

Facebook Comment Extractor 🗨️⚡: Data, Details & Analytics API

Facebook Comments Scraper

apify/facebook-comments-scraper

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.

Apify

19K

4.2

Facebook Comments Scraper

datavoyantlab/facebook-comments-scraper

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.

DataVoyantLab

407

Facebook Comments Data

axesso_data/facebook-comments-data

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 Service

119

5.0

Facebook Scraper Comment

watcher.data/facebook-scraper-comment

Fast and reliable scraper for extracting comments from Facebook posts. Supports multiple output formats, pagination, and real-time data extraction. Perfect for social media monitoring, sentiment analysis, and research.

Giichi Arai

Facebook Comments Scraper (All-in-One) Fast & cheap 💬⭐

scrapestorm/facebook-comments-scraper-all-in-one-fast-cheap

Collect comments from public Facebook posts effortlessly with this powerful tool! Automate the extraction of author info, comments, and timestamps ⏰. Scrape not only post comments but also comments from images and videos 🎥📸. Ideal for social media analysis and data insights 📊!

Storm_Scraper

158

4.3

Facebook Comment User profile Scraper

danny.hub/facebook-comment-scraper

Extract Facebook Comment users' data from one or multiple Facebook posts. You can get the user name/user profile urls/comment content/whether super fans and avatar. You can download the data in all formats like JSON/Excel/CSV

Dannyswift.hub

Facebook Groups Posts Scraper

scrapier/facebook-groups-posts-scraper

Scrape posts from Facebook groups with the Facebook Groups Posts Scraper. Extract post text, images, videos, comments, reactions, timestamps, and author info. Ideal for community analysis, market research, and engagement tracking. Fast, reliable, and scalable for multiple groups.

Scrapier

Facebook Group Post Extractor 🤖💾: Data, Details & Analytics

thedoor/facebook-group-post-extractor-data-details-analytics

Extract posts📈💾 from public Facebook Groups. Get posts, comments, timestamps, and engagement metrics with no cookies/login required! Outputs to JSON/CSV/Excel for instant analysis. Perfect for fast, detailed data collection & reporting. Data simplified.

TheDoor

4.8

Facebook Comments Scraper | Webhook Support

devninja/facebook-comments-scraper-webhook-support

This Apify actor is designed for businesses, teams, and individuals—supporting video URLs, post URLs, photo URLs, and reels—without the hassle of manual scraping or complex setups, making it perfect for analyzing conversations, monitoring engagement, and gathering insights from Facebook.

Devinja

5.0

Facebook Comments Scraper

scraper_one/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. 🚀