Video Comments Exporter
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Extract comments from videos on social platforms and receive structured data with usernames, comment text, and engagement metrics.
One video's comments show one conversation, but audience research usually spans many creators, posts, and campaigns. Use the Thunderbit Chrome Extension to collect usernames, comments, and engagement across hundreds of video pages in one click. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want the completed audience research dataset without running the workflow yourself? Use our Web Scraping Service.
Export Video Comments for Fast AnalysisUse Thunderbit to extract and organize comments from any video URL on Instagram, TikTok, and more—no manual copying required.
Install fromChrome Web Store
Export Video Comments for Fast Analysis
Thunderbit lets you pull comments, usernames, and engagement data from videos across major social platforms. Just input the video URL and receive a structured table with all relevant details, ready for review or reporting.
You can further process, categorize, or summarize the extracted comments, then export your data to Google Sheets, Airtable, or Notion for deeper analysis or sharing with your team.
How to Export Video 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 video (such as an Instagram Reel, TikTok Short, or other social media video) from which you want to export comments. Open the Thunderbit Chrome Extension and select the "Video Comments Exporter" tool. Paste the video URL into the provided field.
STEP 3Click the Export Comments ButtonClick the "Export Comments" button. Thunderbit will extract all available comments, including details such as commenter username, comment text, date, likes, and replies. Once the extraction is complete, you can export the results as a table to Excel, Google Sheets, Airtable, Notion, or download them as a CSV or JSON file.
Learn how to export video comments from social media platforms
Extract Comments from Any Video
The Video Comments Exporter allows you to pull comments from videos on platforms like Instagram Reels, TikTok Shorts, and more. By simply entering the video URL, you can gather all public comments in a structured table. This tool is ideal for social media managers, researchers, and content creators who need to analyze audience engagement or collect feedback for reporting and strategy.
Capture Detailed Engagement Data
With this tool, you not only get the comment text but also valuable metadata such as commenter usernames, profile URLs, comment dates, number of likes, and replies. This comprehensive data helps you understand audience sentiment, identify top contributors, and track engagement trends over time. It’s especially useful for brands and agencies monitoring campaign performance or influencer collaborations.
Export Data for Analysis and Reporting
Once comments are extracted, you can export the data to Excel, Google Sheets, Airtable, or Notion. The output includes all relevant fields, making it easy to filter, sort, and analyze the information. This feature supports efficient reporting, content moderation, and integration with your existing analytics workflows, ensuring you have actionable insights at your fingertips.
Monitor and Compare Multiple Videos
Use the Video Comments Exporter to collect and compare comments across different videos or campaigns. By exporting data from multiple sources, you can benchmark engagement, identify recurring themes, and spot viral moments. This capability is valuable for marketing teams, researchers, and anyone looking to track the impact of video content across various social media channels.
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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.
