Reddit Post Comments Scraper
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Extract comments, thread links, reply counts, and subreddit names from any Reddit post URL. Quickly organize Reddit discussions into a structured table for analysis.
One Reddit thread shows one discussion, but meaningful community research usually covers many threads and subreddits. Use the Thunderbit Chrome Extension to collect posts, comments, authors, and engagement across hundreds of Reddit pages in one click. Prefer to hand this job to AI? Use the Thunderbit API or Thunderbit MCP. Want a finished Reddit research dataset without running the workflow yourself? Use our Web Scraping Service.
Scrape Reddit Comments in SecondsCollect Reddit post comments, thread links, and reply counts with Thunderbit’s Chrome extension—no manual copy-paste required.
Install fromChrome Web Store
Scrape Reddit Comments in Seconds
Thunderbit’s Reddit Post Comments Scraper lets you gather all comments, thread links, and reply counts from any Reddit post in a single step. The tool structures the data for easy review, making it ideal for research, sentiment analysis, or content tracking.
You can also export the extracted data to Google Sheets, Airtable, or Notion for further analysis. Thunderbit supports scraping from subpages and handles large threads efficiently, saving you time and effort.
How to Scrape Reddit 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 Reddit post from which you want to extract comments. Open the Thunderbit Chrome Extension and select the "Reddit Post Comments Scraper" tool. Enter the full Reddit post URL in the provided field.
STEP 3Click the Scrape Reddit Comments ButtonClick the "Scrape Reddit Comments" button. Thunderbit will process the Reddit post and extract all comments, thread links, number of replies, and subreddit names into a structured table. You can export the results to Excel, Google Sheets, Airtable, Notion, or download them as a CSV or JSON file.
Learn how to extract Reddit post comments and thread data
Scrape Comments from Any Reddit Post
The Reddit Post Comments Scraper allows you to input any Reddit post URL and extract all top-level and nested comments into a structured table. This tool is ideal for researchers, marketers, and community managers who need to analyze discussions, gather feedback, or monitor sentiment on Reddit. By automating the comment collection process, you can quickly access large volumes of user-generated content without manual copying or browsing.
Capture Thread Links and Reply Counts
In addition to extracting comment text, the tool also collects direct thread links and the number of replies for each comment. This feature is valuable for anyone tracking engagement, identifying popular discussion threads, or mapping conversation flows within a subreddit. By having thread links and reply counts at your fingertips, you can prioritize which discussions to analyze or respond to, saving time and improving your workflow.
Export Reddit Data to Spreadsheets and Databases
Once the Reddit comments and related data are scraped, you can export the results to Excel, Google Sheets, Airtable, or Notion. The output is formatted as a clean table, making it easy to sort, filter, and analyze. This export capability is especially useful for teams who want to integrate Reddit insights into their reporting, research, or CRM systems, ensuring the data is ready for immediate use.
Analyze Subreddit Activity and Community Trends
With subreddit names included in the output, you can track activity across different communities and compare engagement levels. This is particularly helpful for social media analysts, brand managers, and content creators who want to monitor trends, identify active subreddits, or benchmark performance. The organized data enables deeper analysis, helping you make informed decisions based on real Reddit conversations.
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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.
