Pricing

$19.99/month + usage

Facebook Comments Scraper

💬 Facebook Comments Scraper extracts post comments at scale — authors, timestamps, reactions, replies & permalinks. 📊 Ideal for sentiment analysis, social listening, moderation and campaign reporting. 📥 Export to CSV/JSON. ⚡ Fast, reliable, analytics-ready.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeMesh

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Automation

Lead generation

Social media

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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "startUrls": [
12        "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl"
13    ],
14    "proxyConfiguration": {
15        "useApifyProxy": false
16    }
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("scrapemesh/facebook-comments-scraper").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27    console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Facebook Comments Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Facebook Comments Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Facebook Comments Scraper API in Python

Facebook Comments Scraper API through CLI

Facebook Comments Scraper OpenAPI definition

Facebook Comments Scraper API

Facebook Comments Scraper

scrapium/facebook-comments-scraper

💬 Facebook Comments Scraper extracts comments & replies from public posts/pages — with author, timestamps, reactions & IDs. 📊 Export to CSV/JSON for sentiment, social listening, moderation & marketing insights. ⚡ Fast, reliable, API-ready. 📈 Track engagement at scale.

Scrapium

Facebook Comments Scraper

api-empire/facebook-comments-scraper

💬 Facebook Comments Scraper extracts comments, replies, authors, timestamps, reactions & permalinks from public or authorized posts/pages. 📊 Export CSV/JSON for sentiment, social listening & customer feedback. ⚡ Fast, reliable & proxy-ready. Ideal for research & marketing.

API Empire

Facebook Comments Scraper

simpleapi/facebook-comments-scraper

💬 Facebook Comments Scraper scrapes comments & replies from public posts — author names, text, timestamps, reactions & permalinks. 🔍 Clean, dedupe, and export to CSV/JSON. 📊 Ideal for social listening, sentiment, marketing, and research. 🚀 Fast, reliable, API-ready.

SimpleAPI

Facebook Comments Scraper

scrapapi/facebook-comments-scraper

💬 Facebook Comments Scraper extracts comments from public Facebook posts, pages & videos—replies, reactions, timestamps, authors—fast and at scale. 🔍 Export CSV/JSON. 📊 Ideal for social listening, sentiment, research, community management & competitor insights. ⚡️

ScrapAPI

Facebook Comments Scraper

scraper-engine/facebook-comments-scraper

💬 Facebook Comments Scraper extracts post comments at scale—text, authors, timestamps, reactions, and threaded replies. ⚙️ Export CSV/JSON for analytics, sentiment, and reporting. 🚀 Ideal for social listening, CX, and research. ✅ Use on public or authorized data.

Scraper Engine

Facebook Comments Scraper

scrapeengine/facebook-comments-scraper

💬 Facebook Comments Scraper extracts comments from public Facebook posts and Pages at scale — text, author, timestamp, reactions & reply threads. 📊 Export CSV/JSON for sentiment analysis, social listening & moderation. ⚡ Fast, reliable, API-ready.

ScrapeEngine

Facebook Comments Scraper

scrapier/facebook-comments-scraper

💬 Facebook Comments Scraper extracts public post comments at scale—text, timestamps, reactions & comment IDs—into CSV/JSON for analysis. 📊 Perfect for social listening, brand monitoring & campaign reporting. ⚙️ Fast, reliable, privacy-aware.

Scrapier

Facebook Comments Scraper

scraply/facebook-comments-scraper

💬 Facebook Comments Scraper (facebook-comments-scraper) extracts comments from public posts—text, author, time, reactions & replies. 📥 Export CSV/JSON. 📊 Perfect for social listening, sentiment analysis & community management. ⚡ Fast, reliable, scalable.

Scraply

Youtube Comments Scraper

scrapelabsapi/youtube-comments-scraper

💬 YouTube Comments Scraper (youtube-comments-scraper) extracts comments, replies, authors, likes, timestamps, IDs & pinned/hearted flags. 🔍 Export CSV/JSON for research, sentiment, social listening, moderation & competitor analysis. 🚀 Fast & reliable.

ScrapeLabs

Youtube Comments Scraper

scrapeflow/youtube-comments-scraper

📺 YouTube Comments Scraper extracts comments at scale from videos & channels — authors, timestamps, likes, replies & threads. 🔎 Filter by keywords, date or language, and export CSV/JSON. 🚀 Ideal for sentiment analysis, market research & social listening.

ScrapeFlow