Pricing

$2.00 / 1,000 comments

Facebook Comments Scraper (PPR)💬

💬 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!

Pricing

$2.00 / 1,000 comments

Rating

0.0

(0)

Developer

Powerful Bachelor

Actor stats

Bookmarked

135

Total users

Monthly active users

4 months ago

Last modified

📘 Facebook Comments Scraper

🚀 Overview

Facebook Comments Scraper is a lightweight but powerful Apify actor that pulls high-signal discussion data from public Facebook posts.

It extracts every top-level comment — along with detailed engagement metrics like 👍 likes, 💬 replies, and ⏱ timestamps — allowing you to convert unstructured social conversations into actionable insights.

Whether you're a marketer, researcher, developer, or data analyst, this tool helps you stay ahead by providing real-time visibility into audience reactions, emerging trends, and content performance.

It’s especially useful for:

🧠 Product & Brand Sentiment Analysis: Understand how users are reacting to your products, ads, or brand mentions in public Facebook posts.
📣 Influencer Campaign Monitoring: Track how well influencer posts are engaging audiences across different regions or demographics.
📊 Market Research: Spot behavioral patterns and collect qualitative data for targeted surveys or segmentation.
🏛 Political & Social Research: Scrape comment sections on political or policy-related posts to monitor public opinion and voter sentiment.
🚨 Misinformation & Content Moderation Studies: Detect engagement patterns around false claims or toxic discussions.
🎓 Academic Studies: Use as a dataset generator for NLP models, opinion mining, or social media discourse analysis.

This actor enables automated, scalable, and repeatable comment extraction — no browser automation, no manual effort.

🛠 Key Features

🔹 Feature	💡 What you get
📝 Comment body	Full text, emoji and all.
🙋 Author info	Commenter ID and profile link (when public).
🕒 Timestamps	Exact UNIX time to analyse activity peaks.
📈 Engagement	• `likes_count` (integer) 👍 • `reply_count` (integer) 💬 • `is_live_video_comment` flag
📦 Multiple formats	JSON, CSV, Excel, XML or HTML via Apify storage.

⚡ Quick Start

🔁 Clone / fork the actor or install from Apify Store
🌐 Put your post URLs in storage/key_value_stores/default/INPUT.json
▶️ Click “Save & Start”

🧾 Input Parameters

{
    "maxResults": 40,
    "startUrls": ["https://www.facebook.com/Cristiano/posts/10161345601032164"]
}

📤 Output Example

Each output item includes:

"comment_id": "17938403948273912",
    "feedback_id": "1837320198273947",
    "commentor_id": "1000123456789",
    "comment_text": "This goal was insane 🔥",
    "author": {
        "name": "John Doe",
        "url": "https://facebook.com/johndoe"
    },
    "created_time": 1719814023,
    "is_live_video_comment": false,
    "likes_count": 235,
    "reply_count": 12
}

📁 Data is stored in Apify's dataset — export it as JSON, CSV, Excel, or HTML.

💬 Feedback & Support

We appreciate your support and contributions! 🤝

🐛 Found a bug? 💡 Want a feature added?

Open an Issue in the GitHub issues tab.
Include the run ID or error message, if available.
We aim to respond within 24 hours ⏳

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