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Facebook Comments Scraper 💬📘

The Facebook Comments Scraper is a powerful and scalable Apify Actor designed to extract structured comment data directly from Facebook posts, photos, videos, reels, and watch pages.

It enables social media monitoring, audience analysis, sentiment analysis, engagement tracking, competitor research, influencer monitoring, NLP training, and structured Facebook comment dataset generation.

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🎯 What This Scraper Does

Simply provide one or multiple Facebook URLs and the scraper handles everything automatically.

✅ Extracts Facebook comments from posts, photos, videos, and reels

✅ Supports bulk URL scraping

✅ Automatically processes Facebook comment threads

✅ Handles pagination automatically

✅ Supports authenticated scraping

✅ Extracts author profile information

✅ Captures comment metadata and timestamps

✅ Collects profile images and profile URLs

✅ Generates clean and structured datasets

✅ Ready for analytics and monitoring workflows

✅ Export-ready output format

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📊 Data Extracted

💬 Comment Information

Field	Description
🆔 commentId	Unique Facebook comment identifier
💬 commentText	Comment content
👤 authorName	Comment author name
🆔 authorId	Facebook profile ID
🌐 authorProfileUrl	Author profile URL
🖼️ authorProfileImage	Author profile image
⚧️ authorGender	Author gender when available
📅 creationDate	Comment publication date
🔗 commentUrl	Direct comment URL
🌍 sourceUrl	Original Facebook post URL

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🛠 How to Use

1️⃣ Configure Input

Provide one or multiple Facebook URLs:

{
  "bulk_urls": [
    "https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"
  ],
  "max_comments_per_url": 100
}

2️⃣ Run the Actor

• Loads Facebook posts, photos, reels, or watch pages

• Processes comment threads automatically

• Extracts structured comment information

• Collects author metadata and timestamps

• Applies max_comments_per_url limits

• Stops automatically when limits are reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON ✅ CSV ✅ Excel ✅ XML ✅ HTML

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⚙️ Input Configuration

📥 Input Example

{
  "email": "yourfacebook@email.com",
  "password": "yourpassword",
  "bulk_urls": [
    "https://www.facebook.com/Cristiano/posts/pfbid02jgAhtszSyC6B5wxgHFEPfsa53jE1MCChdoFieDeSJLyVSSNPcP3g9HGhLncupDsal"
  ],
  "max_comments_per_url": 100
}

Input Fields

Field	Type	Description
email	string	Facebook account email
password	string	Facebook account password
bulk_urls	array	List of Facebook URLs to scrape
max_comments_per_url	integer	Maximum number of comments per URL

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📤 Output Example

{
  "commentId": "Y29tbWVudDoxMTg3MzkyNDY5NDEzOTU4XzE5OTAyOTIwMjQ3NTI3ODA=",
  "commentText": "Let’s go bro 💯💯💯",
  "authorName": "Chris B",
  "authorId": "100044444919161",
  "authorProfileUrl": "https://www.facebook.com/TheRealChrisB",
  "authorGender": "MALE",
  "authorProfileImage": "https://facebook-profile-image.jpg",
  "creationDate": "2024-10-15 21:28:05",
  "commentUrl": "https://www.facebook.com/comment-url"
}

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📊 Output Explanation

Use Case	Description
📈 Social Media Monitoring	Track audience engagement and discussions
💬 Sentiment Analysis	Analyze customer opinions and reactions
🏁 Competitor Research	Monitor comments on competitor content
🧠 AI & NLP Training	Build structured text datasets
📊 Community Analysis	Study audience behavior and interactions
🤖 Automation Pipelines	Feed comments into analytics workflows

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🌍 Why Use This Scraper?

💬 Extract Facebook comments at scale

📈 Analyze audience engagement and trends

🏁 Monitor competitor communities and reactions

🌍 Scrape comments from posts, photos, reels, and videos

⚡ Fast and automated extraction

🤖 Automation-ready structured output

📦 Bulk URL scraping support

🧠 Ideal for marketers, analysts, researchers, and agencies

🚀 Scalable for small and enterprise workloads

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❓ FAQ

How does this scraper work?

The scraper loads Facebook URLs and extracts structured comment information including comment text, author details, profile URLs, profile images, and publication dates.

Can I scrape multiple URLs in one run?

Yes. You can provide multiple Facebook URLs inside the bulk_urls array.

What types of Facebook URLs are supported?

The scraper supports:

• Facebook posts (/posts/)

• Facebook photos (/photo/)

• Facebook reels

• Facebook watch videos (/watch/)

Does the scraper support authenticated scraping?

Yes. Facebook account credentials can be provided for restricted content access.

Can I limit the number of comments?

Yes. Use the max_comments_per_url parameter.

Is the data collected live?

Yes. Data is extracted directly from Facebook during every run.

What export formats are supported?

JSON, CSV, Excel, XML, and HTML.

Can I use the extracted data commercially?

Yes. The extracted data can be used for analytics, monitoring, research, automation, and commercial applications.

What happens if the scraper fails?

The Actor includes retry mechanisms and automated error handling to improve reliability.

How long does a run take?

Most runs complete within minutes depending on the number of URLs and requested comments.

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🚀 How to Use

1️⃣ Sign up — Create a free Apify account

2️⃣ Find the tool — Search for "Facebook Comments Scraper" in the Apify Store

3️⃣ Configure URLs — Add one or multiple Facebook URLs

4️⃣ Set extraction limits — Configure max comments per URL

5️⃣ Run it — Start the Actor and wait for extraction

6️⃣ Export data — Download results in JSON, CSV, Excel, XML, or HTML

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⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Facebook or Meta Platforms Inc.

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💸 Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted records.

💳 Price: $2.89 / 1,000 results

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Related Actors

If you're interested in other Social Media, Analytics, Lead Generation, or Monitoring scraping solutions, explore more tools:

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📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

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🌍 PrimeScrape

Built for scalable web data extraction & automation.

Contact us for custom scraping solutions or enterprise requests via Apify or email.