Google Shopping Scraper

Google Shopping is a global storefront viewed by millions of shoppers every day. With our Google Shopping Scraper, you get structured data from one of the largest retail platforms online — prices, availability, ratings, sellers — all in one stream. We collect information from top retailers across dozens of countries. This helps you track global trends and local competition. These are the kind of insights that keep you one step ahead.

Google Shopping Scraper
Solutions

Google Shopping Data Scraper

We act as your personal web scraper. You don’t need to set anything up — just tell us what data you need, and we’ll handle the rest. We export clean, structured results in CSV, Excel, or JSON — fully tailored to your needs.

We take care of the entire process: we set up tracking, update the data regularly, and scrape Google Shopping for you — no need to deal with APIs, code, or complex tools. You get ready-to-use reports with zero effort on your side.

Main Data We Extract with Google Shopping Scraper

Using our Google Shopping data scraper, we gather essential product details directly from each product page:

  • Product name and brand — taken directly from the Google Shopping title.
  • Price and currency — including discounts, promo prices, and currency symbols.
  • Stock status — such as “in stock”, “out of stock”, etc.
  • Product URL — direct link to the seller’s page.
  • Image — the main photo shown via the image_link.
  • Identifiers — GTIN, MPN, SKU if available.
  • Google category — such as “Apparel & Accessories > Clothing”.
  • Short description — first 150–200 characters shown in the ad block.

Main Data We Extract with Google Shopping Scraper
Additional Product Data

Additional Product Data

Our product data extractor also captures additional information that gives context and helps enrich your dataset. These details offer deeper insights into how items are presented across different sellers and markets.

Here’s what else we can extract:

  • Product ratings and reviews (when displayed).
  • Promo tags — like “Sale”, “Free shipping”.
  • Extra images — if available as previews.
  • Regional codes — including currency, country, and site language.

Google Shopping: Reach, Scale, Influence

At shopping.google.com, millions of products are aggregated from retailers across the world — creating one of the most comprehensive hubs for real-time price and product visibility. It doesn’t operate like a marketplace with its own checkout; instead, it surfaces offers from thousands of sellers and redirects users to external sites.

With localized experiences in 90+ countries, Google Shopping adjusts language, currency, and delivery options to match user location — making it a key platform for regional trend tracking and cross-border e-commerce insights.

Whether you're monitoring seasonal discounts, benchmarking competitor prices, or analyzing category saturation, scraping Google Shopping data reveals what’s being pushed, what’s ranking, and what’s converting — all within a system tightly tied to Google Search and Ads.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Plans

Web Scraping Plans & Pricing

Customized plans that grow with your data needs.

Airplane

€199 / one-time

setup fee — included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

How a Google Shopping Web Scraper Is Useful

A Google Shopping scraper lets you collect data from one of the most visible and competitive e-commerce channels. Google Shopping aggregates millions of products from sellers worldwide and displays them directly in search results. With this data, you can track how sellers are represented in the market — what they offer, at what price, and under what conditions.

The uniqueness of Google Shopping data lies in the following:

  • It’s the only platform where you can see both organic listings and paid ads from sellers side by side.
  • The data covers sellers across dozens of countries — all in a consistent format with unified parameters, making it easy to compare.
  • Google Shopping brings together both major retail chains and independent stores, providing an objective view of the entire market.

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About ScrapeIt

ScrapeIt is a team of experienced data professionals focused on web scraping solutions. We simplify complex tasks and build workflows that work for your specific goals. As a trusted Google Shopping web scraper, our company offers tailored services for collecting structured data from e-commerce sites, marketplaces, and large-scale catalogs. We also follow all compliance standards and know how to deal with site restrictions.

FAQ

What platforms do your clients most often request data from besides Google Shopping?

In addition to Google Shopping, we frequently scrape Amazon, Walmart, Target, Etsy, Zalando, MercadoLibre, and Rakuten — depending on region and category.

Do you support product monitoring across different sellers?

Yes. We can track how a product is listed, priced, and promoted by different retailers over time.

What kind of businesses use your Google Shopping scraper?

Our clients include e-commerce brands, pricing analysts, digital marketers, competitive intelligence teams, and product managers.

Do you help with cleaning and normalizing the data?

Yes. All exports are delivered in a clean, structured format — ready to use in your BI tools or internal systems.

Can I extract only specific product information, like price and availability?

Yes, you can choose exactly which product information you need — we can include only selected fields in the export.

How does it Work?

1. Make a request

You tell us which website(s) to scrape, what data to capture, how often to repeat etc.

2. Analysis

An expert analyzes the specs and proposes a lowest cost solution that fits your budget.

3. Work in progress

We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.

4. You check the sample

If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.

Request a Quote

Tell us more about you and your project information.
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Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
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