Pricing

$19.99/month + usage

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.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

Scraply

Actor stats

Bookmarked

Total users

Monthly active users

21 hours 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

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": ["https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl"],
10    "proxyConfiguration": { "useApifyProxy": False },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("scraply/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:

Facebook Comments Scraper API in JavaScript

Facebook Comments Scraper API through CLI

Facebook Comments Scraper OpenAPI definition

Facebook Comments Scraper API

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

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

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

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

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

scrapio/facebook-comments-scraper

Facebook Comments Scraper extracts comments from public Facebook posts. Collect comment text, usernames, timestamps, reactions, and reply threads. Ideal for sentiment analysis, audience research, engagement tracking, and social media monitoring.

Scrapio

Facebook Comments Scraper

scrapemesh/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.

ScrapeMesh

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

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 Posts Search Scraper

scrapier/facebook-posts-search-scraper

🔎 Facebook Posts Search Scraper extracts public Facebook posts by keywords or hashtags—capturing text, author, date, URL, reactions, shares, comments & media. 📊 Ideal for social listening, brand monitoring, trend analysis & market research. ⚡ Fast, reliable CSV/JSON export.

Scrapier