YouTube Comments Exporter
YouTube Comments Exporter
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Extract comments, authors, and likes from any YouTube video into a structured table. Save time collecting feedback and insights for research or analysis.
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Export YouTube Comments in SecondsUse Thunderbit to quickly extract YouTube comments, authors, and likes into a clean table—no manual copying required.
Install fromChrome Web Store
Export YouTube Comments in Seconds
Thunderbit lets you pull all comments, author names, author URLs, and thumbs up counts from any YouTube video. Just paste the link, and get a ready-to-use table for your research, marketing, or content analysis.
You can also export the structured data directly to Google Sheets, Airtable, or Notion. Thunderbit supports scraping from subpages and offers AI-powered field suggestions for even more efficient data collection.
How to Export YouTube 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 YouTube video from which you want to export comments. Open the Thunderbit Chrome Extension and select the "YouTube Comments Exporter" tool. Enter the YouTube video URL in the provided field.
STEP 3Click the Export Comments ButtonClick the "Export Comments" button. Thunderbit will extract the comments, including author, content, author URL, and number of thumbs up, into a structured table. You can then export the results to Excel, Google Sheets, Airtable, Notion, or download them as a CSV file.
Learn how to export YouTube comments to a structured table
Extract Comments from Any YouTube Video
The YouTube Comments Exporter allows you to pull all comments from any public YouTube video by simply entering its URL. This tool is ideal for content creators, marketers, and researchers who need to analyze audience feedback or gather insights from video discussions. By automating the extraction process, you avoid the tedious task of copying comments manually, making it much easier to collect large volumes of data for further analysis.
Capture Key Details for Deeper Analysis
With each comment, the tool captures the author’s name, comment content, author’s profile URL, and the number of thumbs up received. This comprehensive data set enables you to identify influential commenters, track engagement trends, and understand which comments resonate most with viewers. The structured output supports more accurate sentiment analysis and audience research, helping you make informed decisions based on real user feedback.
Export Data to Your Favorite Platforms
Once comments are extracted, you can export the data directly to Excel, Google Sheets, Airtable, or Notion. The output is organized in a clear table format, making it easy to sort, filter, and analyze. This integration streamlines your workflow, allowing you to quickly incorporate YouTube comment data into reports, presentations, or collaborative documents without additional formatting.
Support Content Strategy and Community Management
Use the exported comment data to inform your content strategy, moderate discussions, or identify trending topics within your community. Marketers can track campaign responses, while creators can spot frequently asked questions or feedback themes. By having all comments and engagement metrics in one place, you can respond more effectively to your audience and tailor your content to their interests.
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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
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week