Facebook Comments Scraper – Extract Facebook Comment Data

Facebook Comments Scraper | Comment Data Extractor

Facebook Comments Scraper is an automated tool for collecting publicly available comments from Facebook post URLs. It can extract comment data, process comment replies, apply comment ranking modes, and return structured results for analysis. With configurable result limits and multiple Facebook URLs, the Actor supports Facebook comments scraping, research, customer feedback analysis, and bulk comment data collection. Use it only for content and data you are legally authorized to access and process.

What is Facebook Comments Scraper?

A Facebook comments scraper is a data extraction tool for collecting publicly accessible comment information from supported Facebook posts and pages. This Facebook comment scraper helps organize comment text, author information, dates, URLs, replies, reactions, and available metadata into structured records. It is useful for businesses, marketers, researchers, developers, and analysts who want to scrape Facebook comments, extract Facebook comments, or collect Facebook comments without manually copying individual records. 🚀

The Actor supports URL-based workflows, page and post research, structured datasets, automation, and programmatic processing for permitted use cases.

What Data Does a Facebook Comments Scraper Collect?

The Actor can collect available information associated with publicly accessible Facebook comments. The exact fields depend on the source, page structure, availability, and Actor configuration.

💬 Comment Content

A Facebook comment text scraper can collect available comment text and content. This supports Facebook comment content scraper, Facebook comment extraction, and extract Facebook comment data workflows.

👤 Commenter Information

Where publicly available, the Actor can process author-related information using a Facebook comment author scraper, Facebook commenter scraper, or Facebook commenter data extractor workflow.

📅 Date and Timestamp

Available publication information can support a Facebook comment date extractor and Facebook comment timestamp extractor workflow.

🔗 Comment URLs and IDs

The Actor can organize available identifiers and URLs using a Facebook comment URL scraper, Facebook comment URL extractor, or Facebook comment ID extractor workflow.

👍 Reactions and Engagement

Where available, engagement information can support a Facebook comment engagement scraper, Facebook comment likes scraper, Facebook comment reaction scraper, and Facebook comment reactions scraper workflow.

💬 Replies

Supported sources may provide replies associated with comments. These can be processed through a Facebook comment reply scraper, Facebook comment replies scraper, Facebook replies scraper, or Facebook reply extractor workflow.

📊 Metadata

Available source attributes can be organized using a Facebook comment metadata extractor, Facebook comment metadata scraper, or Facebook comment details scraper.

What Would the Results Look Like from Facebook Comments Scraper?

The Actor returns structured comment records that can be stored in an Apify Dataset and used for analysis, reporting, research, or downstream automation.

A typical result can contain fields such as:

Field	Description
Comment text	Available text of the Facebook comment
Author	Publicly available commenter information
Comment URL	URL associated with the comment when available
Post URL	Source Facebook post URL
Comment ID	Available comment identifier
Date	Available comment publication date
Timestamp	Available timestamp information
Reactions	Available reaction or like information
Replies	Available reply information
Metadata	Additional available comment attributes

This output can become a Facebook comments dataset, Facebook comment dataset, Facebook comments data, or Facebook comment data collection.

The records can also support Facebook comments export, Facebook comment export, Facebook comments data export, Facebook comment data export, and download Facebook comments data workflows.

Core Features: Facebook Comments Scraper

🔍 Comment Extraction

Use the Actor as a Facebook comments extractor, Facebook comment extractor, Facebook comments extraction tool, or Facebook comment extraction tool to process supported comment data.

📊 Structured Data

The Actor works as a Facebook comments data extractor, Facebook comment data extractor, Facebook comments data scraper, or Facebook comment data scraper for structured output.

🔗 URL-Based Collection

Process supported URLs with Facebook comments from URL, scrape Facebook comments from URL, extract Facebook comments from URL, or Facebook URL comments scraper workflow.

📝 Post Comment Extraction

A Facebook post comments scraper, Facebook post comment scraper, Facebook post comments extractor, or Facebook post comment extractor can target comments associated with supported posts.

📄 Page Comment Extraction

Use a Facebook page comments scraper, Facebook page comment scraper, Facebook page comments extractor, or Facebook page comment extractor for supported page-level workflows.

🏢 Business Research

The Actor can support a Facebook business comments scraper, Facebook business comment scraper, or Facebook page comment scraper for businesses for legitimate customer-feedback research.

🤖 Automation

Automate repetitive collection through an automated Facebook comments scraper, automated Facebook comment scraper, Facebook comments scraping automation, and Facebook comment scraping automation workflow.

📦 Bulk Processing

For larger projects, use a bulk Facebook comments scraper, bulk Facebook comment scraper, bulk Facebook comments extractor, or bulk Facebook comment extractor where supported.

🔌 API Workflows

Structured results can support integrations involving Facebook comments API, Facebook comment API, Facebook comments scraper API, Facebook comment scraper API, and Facebook comments data API.

🚀 Apify Actor

The workflow can be used as an Apify Facebook comments scraper, Apify Facebook comment scraper, Apify Facebook comments extractor, or Apify Facebook comment extractor.

How Does Facebook Comments Scraper Work?

1. 🔐 Log In to Apify

First, log in to your Apify account or create an account if you are new to the platform. Open the Facebook Comments Scraper Actor and access its input form.

2. 🔗 Add Facebook URLs

Enter the Facebook post URLs you want to process in the Facebook URLs field. This required input accepts an array of Facebook post URLs, allowing the Actor to target specific posts for comment collection.

This makes the Actor suitable for Facebook comments from URL, Facebook post comments scraper, Facebook post comment scraper, and Facebook post URL comments scraper workflows.

3. 📊 Set the Results Amount

Use Results amount to define the maximum number of comments collected from each URL. The default value is 50 comments per URL.

For example, if you provide multiple Facebook post URLs, the configured result limit applies to each submitted URL. This supports Facebook comments data collection, Facebook comments dataset, and collect Facebook comments workflows.

4. 💬 Choose Comment Replies

Enable Include comment replies when you also want replies associated with comments to be collected. This option is disabled by default.

When enabled, the Actor can support Facebook comment reply scraper, Facebook comment replies scraper, Facebook replies scraper, and Facebook reply extractor workflows.

5. 🔎 Select Comments Mode

Use Comments mode to determine the ranking of comments returned by the Actor. Three options are available:

• All — Collect comments without selecting a ranking preference.

• Most relevant — Focus on comments ranked as most relevant.

• Newest — Focus on newer comments.

The default mode is All.

6. ⚙️ Start the Actor

After configuring the Facebook URLs, result limit, replies, and comments mode, start the Actor. The Facebook comments scraper processes the supplied post URLs according to your selected settings.

The workflow can support Facebook comments scraping, Facebook comment scraping, Facebook comments extractor, and Facebook comment extraction tool use cases.

7. 📦 Review Structured Results

When the run finishes, review the generated dataset in Apify. The returned records can contain available comment information from the processed posts.

The results can be used for Facebook comments data extraction, Facebook comment data extraction, Facebook comments data scraper, Facebook comment data scraper, and Facebook comment details scraper workflows.

8. 📥 Export the Data

Export the dataset when you want to use the collected records in another application, analysis workflow, or reporting process. Structured results can support Facebook comments export, Facebook comment export, Facebook comments data export, and download Facebook comments data workflows.

9. 🚀 Process Multiple Posts

The Actor accepts multiple Facebook post URLs, making it suitable for larger collection workflows. Depending on the selected result limits and available comments, you can scrape Facebook comments in bulk, extract Facebook comments in bulk, collect Facebook comments in bulk, or use a bulk Facebook comments scraper workflow.

10. 📈 Analyze the Results

Once the data is exported, you can use it for Facebook comments analysis, Facebook comment analysis, Facebook comment analytics, Facebook comments analytics, Facebook comment sentiment analysis, customer-feedback research, or other permitted data workflows.

This process turns individual Facebook post comments into structured records that are easier to search, analyze, export, and use in downstream automation.

Getting Started with Facebook Comments Scraper

1. 🔐 Log In or Sign Up for Apify

First, log in to Apify. If you do not have an Apify account, create one by selecting the sign-up option.

2. 🚀 Open the Actor

Open the Facebook Comments Scraper Actor in Apify and review its available input configuration.

3. 🔗 Add Supported URLs

Enter the Facebook post or page URLs you are authorized to process. URL-based workflows can support Facebook comment URL scraper, Facebook post URL comments scraper, and Facebook post URL comment extractor use cases.

4. ⚙️ Configure the Run

Set the available input parameters according to your extraction requirements. Choose the appropriate limits, sources, and other supported options.

5. ▶️ Start the Actor

Click Start to begin processing. The Actor retrieves available comment information according to the configured workflow.

6. 📊 Review Results

After the run finishes, open the Dataset to inspect comment records, author information, URLs, timestamps, reactions, replies, and available metadata.

7. 📥 Export the Dataset

Export your structured results for analysis, reporting, research, or another permitted workflow. This supports Facebook comments data collection, Facebook comment data collection, and Facebook comments research tool use cases.

Ways to Use Facebook Comments Scraper

📣 Marketing Research

A Facebook comments scraper for marketing can help teams organize public customer conversations, feedback, and audience responses for permitted research.

🔎 SEO Research

A Facebook comments scraper for SEO can provide structured comment data for content and audience research.

🔬 Research

Researchers can use a Facebook comments scraper for research, Facebook comment research tool, or Facebook comments research tool to organize comment datasets.

🏢 Business Feedback

A Facebook comments scraper for businesses, Facebook customer comments scraper, or Facebook customer feedback scraper can support customer-feedback analysis.

👥 Audience Research

A Facebook feedback comments scraper or Facebook audience comments scraper can organize available audience responses for analysis.

🧠 Sentiment Research

Collected comment text can support Facebook comment sentiment analysis, Facebook comments sentiment analysis, and Facebook comment sentiment scraper workflows when paired with a suitable NLP or sentiment-analysis system.

📊 Comment Analytics

Structured data can support Facebook comments analysis, Facebook comment analysis, Facebook comments analyzer, Facebook comment analyzer, Facebook comment analytics, and Facebook comments analytics.

📡 Monitoring

Recurring collection can support Facebook comment monitoring, Facebook comments monitoring, Facebook comment tracker, and Facebook comments tracker workflows.

🏆 Competitor Research

A Facebook competitor comments scraper, Facebook competitor comment scraper, or competitor Facebook comments scraper can organize publicly available competitor discussions for legitimate competitive research.

💡 Comment Insights

The resulting dataset can support Facebook comment insights and Facebook comments insights workflows for understanding recurring discussion themes.

input parameters

{
  "includeReplies": false,
  "startUrls": [
    {
      "url": "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl"
    }
  ],
  "resultsAmount": 50,
  "commentsMode": "All"
}

🔗 Facebook URLs

Provide supported Facebook post or page URLs according to the Actor's current input schema.

🔢 Processing Limits

Configure available limits to control the amount of comment data processed during a run.

⚙️ Additional Settings

Use any available filtering, pagination, or extraction options according to the Actor configuration.

output parameters

{
    "facebookUrl": "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl",
    "commentUrl": "https://www.facebook.com/humansofnewyork/posts/pfbid02FB5qQeZdNY1JcqRbobNMyRStyFhw9Xs34Gxa31saYDyUkmxeAdsTxL86Zc9Zz7WHl?comment_id=1321399614945736",
    "commentId": "1321399614945736",
    "id": "Y29tbWVudDo2Mzc1MjE5MzQyNTUyMTEyXzEzMjEzOTk2MTQ5NDU3MzY=",
    "feedbackId": "ZmVlZGJhY2s6NjM3NTIxOTM0MjU1MjExMl8xMzIxMzk5NjE0OTQ1NzM2",
    "date": "2021-08-16T02:08:00.000Z",
    "text": "Funny how sometimes we just seem to stumble into something and find it’s exactly what we should be doing. Keep planting the seeds.",
    "profilePicture": "https://scontent-mia5-1.xx.fbcdn.net/v/t39.30808-1/571112310_10224295759300729_2684269172790111799_n.jpg?stp=cp0_dst-jpg_tt6&cstp=mx1055x1065&ctp=s50x50&_nc_cat=101&ccb=1-7&_nc_sid=e99d92&_nc_ohc=MUFeSRtfVw4Q7kNvwFvKcFd&_nc_oc=AdqIwQa9HKE9PYeSYc9R6s7F07tMD1WqCIyL-sLo1F-aXICURF69uZldGQrE2yWUOY0&_nc_zt=24&_nc_ht=scontent-mia5-1.xx&_nc_gid=hYUBrUM7F0wdNIsjr_GZPA&_nc_ss=7d289&oh=00_AQGu2rosUYCXAW6-LqIglh90Y1p4MbVtjWBnzpbWmCtVog&oe=6A9390F1",
    "profileId": "pfbid031QKZYMAwggUkVkFhY84kAtZnpkSc1SC8uB6ipQWo2L1oXCmnd79KVcU1don2VmzKl",
    "profileName": "Alan B Cohen",
    "likesCount": "3",
    "commentsCount": 1,
    "comments": [],
    "threadingDepth": 0,
    "facebookId": "1321399614945736",
    "postTitle": "(2/3) “I knew nothing about gardening. But I knew how to google, so I looked up some easy stuff to plant. Turns out it’s hard to mess up herbs. So I went to the clearance rack at Home Depot and got some herbs. All of the soil was contaminated, so I backed up a dump truck full of organic soil. Nevaeh’s kindergarten class came out and planted the first seedlings. There wasn’t much structure in the beginning. A lot of times I’d just sit around with the kids and look at clouds. But over time the garden became a sort of outdoor science classroom. All of us were learning together. If something died, we’d just try a new spot. We learned about worms, and lady bugs, and praying mantises. Then we learned about food systems. I couldn’t help but notice the diets of these kids: all sugar and processed food. Some of them couldn’t name a single vegetable. But how could you blame them? There are 55 fast food restaurants in this community, but not a single supermarket. So we started growing vegetables in our garden. Not all of the kids were into it. But in every class there would be two or three— who were always around, and involved. Nevaeh was one of those kids. She came to all the camps. She came on the nature walks. She just stuck to me. At first her mother was skeptical, but she could see the consistency. And soon she was bringing Nevaeh to work with me in the garden on weekends. In the beginning Nevaeh was sorta quiet, and off to the side. But over time she took ownership of the garden. Those became her plants, not mine. Whenever volunteers came to help with composting-- Nevaeh would take the lead. And if you were doing it wrong, she’d grab that rake right out of your hands. Ten years have passed since we planted that first garden. And Harlem Grown has expanded to 12 different urban farms. 6,000 lbs of organically grown products have been given to the community free of charge. But the plants are just a byproduct. We’re trying to grow healthy children. But not just children. All of us are learning together. Today our most important employee is Nevaeh’s mom. She’s learned more about gardening than any of us. And she’s the Agricultural Director of all our farms.”",
    "inputUrl": "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl",
    "pageAdLibrary": {
      "is_business_page_active": false,
      "id": "102099916530784"
    }
  },

📝 Comment Data

Results can contain available comment text, content, URLs, IDs, dates, and metadata.

👤 Author Data

Available public commenter information can be included in structured records.

👍 Engagement Data

Where available, reactions, likes, replies, and other engagement information can be returned.

📦 Dataset Records

Results are stored as structured records that can be exported and analyzed.

Why Choose This Facebook Comments Scraper?

⚡ Automated Collection

Instead of manually copying comments, use a Facebook comments scraping tool or Facebook comment scraping tool to automate repeatable extraction.

🌐 Flexible Workflow

A Facebook comments scraper online or online Facebook comments scraper can be useful when you want a structured extraction workflow without manually collecting individual comments.

💻 Software-Based Processing

For repeatable projects, a Facebook comments scraper software or Facebook comment scraper software workflow can simplify data collection and processing.

📊 Structured Research

The Actor creates structured records suitable for Facebook comments data collection, analysis, export, and downstream processing.

🔄 Workflow Automation

Support Facebook comments extraction automation, Facebook comment extraction automation, Facebook comments data automation, Facebook comment data automation, Facebook comments workflow automation, and Facebook comment workflow automation.

🚀 Apify Integration

Run the workflow through Apify using Facebook comments scraper Actor, Facebook comment scraper Actor, Facebook comments extractor Actor, Facebook comment extractor Actor, Facebook comments scraping Actor, and Facebook comments extraction Actor.

How Many Results Can You Scrape?

📦 Depends on Available Comments

The number of results depends on the number of comments available on the supplied posts or pages, source accessibility, pagination, Actor configuration, and resource availability.

🔄 Bulk Comment Collection

For multiple supported sources, workflows can include Facebook comments scraper in bulk, Facebook comment scraper in bulk, extract Facebook comments in bulk, collect Facebook comments in bulk, and scrape Facebook comments in bulk.

📈 Large-Scale Processing

Larger permitted projects can use Facebook comments scraping at scale, Facebook comment scraping at scale, and Facebook comments data at scale. Actual output depends on the available source data and configured run limits.

Legal Guidelines for Scraping

⚖️ Respect Applicable Laws

Facebook comment data can involve copyright, privacy, platform terms, and other legal requirements. Collect only information you are legally authorized to access and process.

🔐 Protect Personal Information

Comments can contain information about individual users. Apply appropriate privacy and data-protection practices when storing, analyzing, or sharing extracted records.

🚫 Do Not Bypass Restrictions

Do not use the Actor to bypass authentication, access controls, technical restrictions, or other security mechanisms.

📜 Follow Platform Rules

Users are responsible for complying with applicable Facebook terms, privacy requirements, copyright laws, and other relevant regulations. The Actor does not grant permission to reproduce or redistribute third-party content.

FAQ

1. How Does Facebook Comments Scraper Identify Data?

The Actor starts with supported Facebook post or page sources and processes available comment information according to its configured workflow. It identifies accessible comment records and organizes available attributes such as text, author, URL, date, ID, reactions, replies, and metadata.

This makes it suitable for Facebook comment data extraction, Facebook comments extraction, extract Facebook comments, and collect Facebook comment data workflows.

2. Facebook Comments Scraper Varieties

Different workflows can focus on different sources and data requirements. Common variations include a Facebook post comments scraper, Facebook page comments scraper, Facebook business comments scraper, Facebook comment text scraper, Facebook commenter data extractor, and Facebook comment metadata scraper.

For larger projects, users can combine these approaches with bulk processing and automation.

3. Our Facebook Comments Scraper Test Findings

Performance varies according to the number of comments, source structure, page availability, network conditions, pagination, and Actor configuration.

A small post with limited comments can complete faster than a large collection involving many posts. Large jobs can use Facebook comments data extraction API, programmatic Facebook comments scraper, programmatic Facebook comment scraper, or programmatic Facebook comments extraction workflows where applicable.

4. Why Scrape Facebook Comments?

A Facebook comments scraper can convert available comment information into structured data for research, customer-feedback analysis, content research, and competitive analysis.

It can help teams scrape Facebook comments, extract Facebook comments, collect Facebook comments, and organize results into a reusable Facebook comments dataset.

5. How Much Does It Cost to Use Our Facebook Comments Scraper?

The cost depends on the number of pages and posts processed, number of comments collected, Actor runtime, resource usage, and configuration.

Small extraction jobs generally use fewer resources than recurring or large-scale workflows. Before starting a large project, estimate the expected number of sources and comments and configure appropriate processing limits.

6. How Facebook Comments Scraper Helps You

The Actor reduces manual comment collection and creates structured records for downstream workflows. It can support Facebook customer feedback analysis, Facebook audience feedback analysis, Facebook comment insights, Facebook comments insights, Facebook comment analytics, and Facebook comments analytics.

It can also support reporting, research, monitoring, and dataset creation.

7. Challenges When Using Facebook Comments Scraper

Facebook page structures and publicly accessible data can change. Comment availability, pagination, source restrictions, network conditions, and platform changes can affect extraction results.

A Facebook comment details scraper or Facebook comment metadata extractor can only return information that is available to the Actor during processing. Some comments, replies, author details, or engagement information may not be available.

8. Selecting the Best Facebook Comments Scraper

Choose a tool based on supported Facebook URLs, available output fields, extraction limits, automation capabilities, dataset format, and your intended use case.

For basic extraction, a Facebook comments extractor may be sufficient. For structured data projects, consider a Facebook comments data extractor or Facebook comments data scraper.

For programmatic applications, relevant options include a Facebook comments scraper API, Facebook comment scraper API, Facebook comments extraction API, Facebook comment extraction API, Facebook comments data API, or Facebook comment API tool.

For Apify-based workflows, consider the Apify Facebook comments scraper, Apify Facebook comment scraper, Facebook comments scraper Apify, Facebook comment scraper Apify, Apify Facebook comments extractor, or Apify Facebook comments data extractor.

Conclusion

Facebook Comments Scraper provides a structured way to collect publicly accessible Facebook comment information from supported sources. It can process comment text, author information, URLs, timestamps, identifiers, reactions, replies, and available metadata.

The Actor supports Facebook comments scraping, Facebook comment extraction, automation, bulk processing, research, analytics, and structured dataset creation. Whether you need a Facebook comments scraper tool, Facebook comment extraction tool, automated Facebook comment extraction, or Facebook comments scraping Actor, use the Actor responsibly and process only information you are authorized to access and use. 🚀