G2 Software Product Scraper
G2 Software Product Scraper
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Extract structured insights from any G2 software page, including ratings, reviews, and product details, to streamline competitor analysis and market research.
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
Unlock G2 Product Insights FastScrape G2 software product data in seconds with Thunderbit. Automate extraction of ratings, reviews, and product details for your research.
Install fromChrome Web Store
Unlock G2 Product Insights Fast
Thunderbit’s G2 Software Product Scraper lets you pull structured data from G2 product pages, including ratings, review counts, and product descriptions. Just input the G2 URL and receive a clean, exportable table—no manual copy-paste or coding required.
Enhance your market research by combining G2 insights with Thunderbit’s AI-powered web scraping. Export your findings to Google Sheets, Airtable, or Notion for further analysis and team collaboration.
How to Extract Product Data from G2 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 G2 software product overview page you want to analyze. Open the Thunderbit Chrome Extension and select the "G2 Software Product Scraper" tool from the menu. Paste the G2 product overview URL into the provided input field.
STEP 3Click the Extract Product Data ButtonClick the "Extract Product Data" button. Thunderbit will process the G2 page and generate a structured table with product name, URL, image, rating, number of reviews, and product description. You can export the results to Excel, Google Sheets, Airtable, Notion, or download them as a CSV or JSON file.
Learn how to extract software product data from G2 pages
Extract Key Product Insights from G2
The G2 Software Product Scraper allows you to pull essential information from any G2 software product overview page. By entering a product URL, you can generate a structured table with product name, image, rating, review count, and description. This tool is ideal for market researchers, sales teams, and product managers who need quick access to competitive intelligence without manual data collection.
Automate Competitive Analysis
Save time and improve accuracy by automating the extraction of competitive data from G2. The scraper captures user ratings, review volumes, and product positioning details, making it easier to benchmark competitors or enrich your CRM. This automation reduces the risk of missing important details and ensures your analysis is always based on up-to-date information.
Export Structured Data for Reporting
Once the data is extracted, you can export the results as a table to Excel, Google Sheets, Airtable, or Notion. The output is organized and ready for immediate use in reports, presentations, or dashboards. This makes it simple to share findings with your team or integrate the data into your existing workflow for further analysis.
Enrich Lead and Market Research Workflows
Use the extracted G2 product data to enhance your lead enrichment and market research processes. By having access to up-to-date product ratings and reviews, you can better qualify leads, identify market trends, and support strategic decision-making. The tool is especially useful for sales and marketing professionals who rely on accurate software intelligence.
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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