Post Comments Exporter
Post Comments Exporter
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Export post comments to CSV or JSON. Capture author, text, timestamps, and metadata. Analyze engagement with clean, structured data.
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PRODUCT HUNT#1 Product of the Week
Export Post Comments in MinutesUse Thunderbit to scrape posts and extract comment data fast with AI-guided field detection. Automate collection across pages and export structured results to your tools.
Install fromChrome Web Store
Export Post Comments in Minutes
Thunderbit helps you scrape comment threads from websites and turn them into structured tables, including author names, comment text, timestamps, and links. Use AI Suggest Fields to map the data, then scrape pages, paginated lists, and related subpages for deeper context.
Scrape from webpages and supported files like PDFs, docs, and images, then summarize, categorize, or format fields as you export. Send results to Google Sheets, Airtable, or Notion, or download as CSV or JSON for reporting and analysis.
How to Export 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 ExtensionOpen the Thunderbit Chrome Extension in Chrome. In the Post Comments Exporter, choose one input method: use the "Enter a Post URL" tab to paste the direct post link into the "post_url" field, or use the "Enter a Post Identifier" tab to enter the post ID in the "post_id" field. Then select your preferred "export_format" (CSV or JSON).
STEP 3Click the Export comments ButtonClick the "Export comments" button to start the extraction. Thunderbit will compile the comments into a structured table with fields such as Commenter Name, Comment Text, Timestamp, and related metadata. When the results finish loading, download the output in your selected format (CSV or JSON) for analysis or sharing.
Learn how to export post comments into CSV or JSON
Extract comments from a post URL or ID
Post Comments Exporter pulls all available comments from a single post using either a direct post URL or a unique post identifier. It captures key fields like commenter name, comment text, timestamp, and comment links, then compiles everything into a structured table. This is built for teams who need a reliable way to review conversations without copying and pasting, such as marketing, community, and research workflows.
Capture replies and engagement metadata
Beyond the comment text, the tool also collects discussion structure and engagement signals, including like count, reply count, whether a comment is a reply, and the parent comment ID. This makes it easier to analyze threads, identify top discussion starters, and separate original comments from nested replies. It’s useful for anyone tracking audience sentiment, moderation patterns, or recurring questions across a post’s comment section.
Export structured data for analysis and reporting
Choose CSV for spreadsheet-based review or JSON for engineering and analytics pipelines. The exported file is organized by columns such as Comment ID, Comment URL, Timestamp, and engagement metrics, so you can filter, sort, and build reports quickly. This output format works well for sharing with stakeholders, creating weekly community summaries, or running deeper analysis in your preferred tools.
Use comment exports for marketing, support, and research
Use exported comments to measure campaign response, collect product feedback, and spot common objections or feature requests. Support and community teams can review threads to find unresolved questions, high-impact issues, or users who need follow-up. Researchers can use the structured dataset to tag themes, compare engagement across posts, and maintain an audit-friendly record of public discussions tied to a specific post.
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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.
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week