Google Shopping Scraper
Google Shopping Scraper
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Turn Google Shopping results into a clean product table. Capture prices, retailers, ratings, reviews, shipping, and links. Ideal for monitoring competitors and market trends.
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
Scrape Product Data While You BrowseUse Thunderbit to scrape Google Shopping and other sites fast with AI field detection and automated extraction. Export structured results to Sheets, Airtable, or Notion in a few clicks.
Install fromChrome Web Store
Scrape Product Data While You Browse
Collect product titles, prices, retailers, ratings, and links from Google Shopping pages with Thunderbit’s AI Web Scraper Chrome extension. Use AI Suggest Fields to structure messy pages, follow pagination, and enrich rows by scraping subpages for deeper product details.
Scrape data from websites plus subpages, PDFs, docs, and images, then summarize, categorize, and format it into analysis-ready tables. Export to Google Sheets, Airtable, or Notion, or download as CSV or JSON for reporting and monitoring.
How to Scrape Google Shopping Results 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 a Google Shopping results page in Chrome, or prepare a Google Shopping results URL such as https://www.google.com/search?tbm=shop&q=wireless+earbuds. Click the Thunderbit extension icon to open Thunderbit, then select the Google Shopping Scraper. In the tool panel, paste the Google Shopping results URL into the "Paste Google Shopping Results URL" field, choose your "country" and "language" for the correct market context, and enter the "number_of_results" you want to extract.
STEP 3Click the Scrape Google Shopping ButtonClick the "Scrape Google Shopping" button to start extraction. Thunderbit will collect structured product data into a table, including Product Name, Product URL, Current Price (USD), Original Price (USD), Rating (Max 5), Number of Reviews, and Retailer. After the table is generated, export the results to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for analysis and reporting.
Learn how to extract Google Shopping product data into a structured table
Scrape Google Shopping results by URL
Paste a Google Shopping results URL and Thunderbit extracts structured product listings into a clean table. It captures key fields like Product Name, Product URL, Current Price, Original Price, Rating, Number of Reviews, and Retailer. This helps ecommerce operators, analysts, and marketers avoid manual copy-paste when collecting competitor pricing and assortment data from Google Shopping result pages.
Normalize results by country, language, and volume
Choose a country and language context to match the market you are analyzing, then set how many results to pull (such as 10, 50, or 100). This makes it easier to compare like-for-like listings across regions, reduce parsing errors caused by localized formats, and standardize your dataset for reporting. It is useful for teams tracking pricing, promotions, and retailer coverage across multiple markets.
Monitor competitor pricing and promotions
Use the output table to track Current Price versus Original Price, spot discounts, and identify which retailers are winning the buy box for a given keyword. Ecommerce and brand teams can run the scraper on a recurring cadence to build a pricing history, detect sudden price drops, and validate MAP compliance. The Product URL field also supports quick auditing of specific listings when something changes.
Run market research and build analysis-ready datasets
Collect ratings and review counts alongside price and retailer to evaluate product positioning and demand signals for a category. Analysts can use the dataset to benchmark top products for a keyword, compare retailer presence, and prioritize outreach or partnership targets. After scraping, export the table to Excel, Google Sheets, Airtable, or Notion, or download as CSV or JSON for BI and reporting workflows.
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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
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Chrome Store Rating
PRODUCT HUNT#1 Product of the Week