Pricing

from $13.00 / 1,000 result items

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Facebook Comments Scraper - Replies & Reactions

Try for free

Scrape comments from any public Facebook post, including nested replies. Each comment returns the text, author name and profile URL, publish time, reaction count and reply count, as one flat row ready for analysis. Export to CSV, Excel, JSON or XML.

Pricing

from $13.00 / 1,000 result items

Rating

0.0

(0)

Developer

ParseForge

Actor stats

Bookmarked

Total users

Monthly active users

10 hours ago

Last modified

Categories

Social media

Lead generation

Marketing

You can access the Facebook Comments Scraper - Replies & Reactions 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 API & Integrations 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    "maxItems": 10,
10    "startUrls": [{ "url": "https://www.facebook.com/MrBeast/posts/pfbid0PYGe82yNLYiwuKb3xHUbSqkr3nNoKsYT77zevBMd5nUn51ewN5mbLxNLCFkeaTxul" }],
11    "maxComments": 50,
12    "proxyConfiguration": {
13        "useApifyProxy": True,
14        "apifyProxyGroups": ["RESIDENTIAL"],
15    },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("parseforge/facebook-comments-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
23for item in client.dataset(run.default_dataset_id).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Comments Scraper - Replies & Reactions API in Python

The Apify API client for Python is the official library that allows you to use Facebook Comments Scraper - Replies & Reactions 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 - Replies & Reactions API in JavaScript

Facebook Comments Scraper - Replies & Reactions API through CLI

Facebook Comments Scraper - Replies & Reactions OpenAPI definition

Facebook Comments Scraper - Replies & Reactions API

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💰 $0.49 per 1,000 results Facebook comments + nested replies from any post, Reel, Watch, photo or group URL — one flat $1/1k, replies included (no separate reply fee). No login, no cookies, pure HTTP. Sort by All/Newest/Most-relevant. Author, text, date, likes, permalink, threading. JSON or CSV out

Muhamed Didovic

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premiumscraper/facebook-comments-scraper

Scrape Facebook post comments and nested replies. Output includes: comment text, author name & profile URL, timestamp, like count, reply count, attachments, and full reply threads. One clean row per comment. Ideal for NLP and sentiment research ✨Facebook Comments Scraper⚡

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leadsbrary/facebook-comments-scraper

Extract comments from any public Facebook post, reel, or video. Get comment text, date, author name, profile link, reaction count, and reply count. Configure output fields, filter by date, sort results. Export as JSON, CSV, or Excel.

Alexandre Manguis

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calm_builder/facebook-comments-scraper

Collect comments and replies from public Facebook post links with configurable sorting, reply depth, and date range filters. Returns clean structured JSON with post details, reactions, shares, comments, and nested replies for analytics, monitoring, and research.

Coder

LinkedIn Posts Scraper - Reactions & Comments

parseforge/linkedin-posts-scraper

Scrape LinkedIn posts from any public profile or company page. Each post returns text, publish date, reaction breakdown, comment and repost counts, media and the author profile, as one flat row. No cookies required. Export to CSV, Excel, JSON or XML.