Facebook Post Comments Exporter
Facebook Post Comments Exporter
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Export Facebook post comments to a structured table with user names, comment text, likes, replies, and dates. Save time collecting and analyzing engagement data.
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Export Facebook Comments in SecondsExtract all comments from any Facebook post and organize them into a clean table—no manual copy-paste required.
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Export Facebook Comments in Seconds
Thunderbit lets you scrape Facebook post comments, including user names, comment text, likes, replies, and dates, directly into a structured table. Just enter the post URL, and Thunderbit handles the extraction, making it easy to analyze engagement or gather feedback for your campaigns.
You can further process, summarize, or categorize the data using Thunderbit’s AI features, and export your results to Google Sheets, Airtable, or Notion for seamless reporting and collaboration.
How to Export Facebook Post Comments Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionNavigate to the Facebook post from which you want to export comments. Open the Thunderbit Chrome Extension and select the "Facebook Post Comments Exporter" tool. Enter the Facebook post URL in the provided field.
STEP 3Click the Export Comments ButtonClick the "Export Comments" button. Thunderbit will extract all comments, including user names, comment text, number of likes, number of replies, and comment dates, into a structured table. You can then export the results to Excel, Google Sheets, Airtable, Notion, or download them as a CSV or JSON file.
Learn how to export Facebook post comments to a structured table
Extract Comments from Facebook Posts
The Facebook Post Comments Exporter allows you to quickly gather all comments from any public Facebook post by simply entering the post URL. This tool is ideal for social media managers, marketers, and researchers who need to analyze audience engagement or collect feedback. By automating the extraction process, you avoid the tedious task of copying comments manually, ensuring you capture every detail in a consistent format.
Capture Detailed Engagement Data
With this tool, you not only collect comment text but also important engagement metrics such as the number of likes, replies, and the date each comment was posted. This comprehensive data helps you understand which comments resonate most with your audience and track conversation trends over time. The structured output makes it easier to perform sentiment analysis or identify top contributors in your community.
Export Data for Analysis and Reporting
Once comments are extracted, you can export the data to Excel, Google Sheets, Airtable, or Notion. The output table includes user names, comment text, likes, replies, and comment dates, making it simple to integrate with your existing reporting workflows. This feature is especially useful for teams that need to share insights or create visualizations based on real engagement data.
Streamline Social Listening and Research
Use the exported comment data to monitor brand sentiment, track campaign performance, or conduct academic research. By having all comments and engagement metrics in one place, you can efficiently filter, sort, and analyze conversations. This capability supports a wide range of use cases, from customer support analysis to content strategy development, helping you make informed decisions based on real user feedback.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
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PRODUCT HUNT#1 Product of the Week