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Facebook Comments Scraper

Try for free

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. 🚀

Pricing

Pay per event

Rating

5.0

(1)

Developer

Scraper One

Actor stats

Bookmarked

351

Total users

Monthly active users

17 days ago

Last modified

Categories

Social media

Automation

Developer tools

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.

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 = {
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 finish
17run = 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:

Facebook Comments Scraper API in JavaScript

Facebook Comments Scraper API through CLI

Facebook Comments Scraper OpenAPI definition

Facebook Comments Scraper API

Facebook Post Comments Scraper

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powerful_bachelor/facebook-comments-scraper

💬 Scrape high-quality comments from public Facebook posts with detailed metrics like 👍 likes, 💬 reply count & ⏱ timestamps. Perfect for sentiment analysis, research, influencer tracking & social trend analysis. Export results as JSON, CSV, Excel, or HTML!

Powerful Bachelor

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powerful_bachelor/Facebook-Comments-Scraper-ppr

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Extract comments from any public Facebook post using its post ID, with automatic pagination up to your specified maxResults.

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curious_coder/facebook-comment-scraper

Scrape comments from facebook posts from a user, page, group member etc.

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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.

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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.