Google Shopping Scraper API
Collect structured Google Shopping product, pricing, seller, rating, review, and availability data at scale.Our Google Shopping Scraper API helps ecommerce businesses, retailers, brands, pricing teams, and market researchers automate Google Shopping data collection for competitor monitoring, market analysis, assortment intelligence, and pricing decisions.Get the data through API, JSON, CSV, Excel, database, or cloud delivery based on your requirements.
Fast & Scalable API
Handle millions of requests per day
Smart Proxy Rotation
No IP bans, no CAPTCHAs
Full Data Coverage
Products, reviews, prices, & specs
Ethical & Compliant Scraping
GDPR & CCPA ready
Trusted by Global Technology Leaders
Google Shopping Data API for E-commerce Intelligence
Turn Google Shopping results into structured, business-ready data.
Our Google Shopping Data API can collect product listings, prices, sellers, ratings, availability, and other shopping signals across selected keywords, products, brands, categories, and markets.
Use recurring data collection to track competitors, compare sellers, monitor prices, analyze product visibility, and build reliable ecommerce datasets without manual research.
Configure the API around your required:
- Products and keywords
- Brands and categories
- Sellers and merchants
- Target markets
- Data fields
- Collection frequency
- Delivery format
How Our Google Shopping Scraper API Works
Get structured data through a simple workflow, share your requirements, let our API collect and organize the data, and receive it in your preferred format.
Submit Your Requirements
Share the products, keywords, categories, sellers, markets, data fields, collection frequency, and output format you need.
API Collects and Structures Data
Our system collects the required Google Shopping data, organizes the results, validates the fields, and prepares structured output.
Receive Business-Ready Data
Access your data through API or receive scheduled datasets through JSON, CSV, Excel, database, or cloud delivery.
Available Data Delivery Options
Google Shopping API Features
Explore the core API capabilities designed to deliver accurate, scalable, and structured Google Shopping data for business use.
Scalable Data Collection
Collect data across large lists of products, keywords, brands, categories, and sellers.
Custom Data Fields
Select only the product, price, seller, rating, availability, and visibility fields your business needs.
Scheduled Monitoring
Configure recurring collection for daily, weekly, or custom monitoring requirements.
Structured Output
Receive cleaned and organized datasets ready for analytics, dashboards, databases, and business.
Market-Specific Data
Collect Google Shopping data across selected countries, markets, keywords, and supported location parameters.
API Integration
Connect Google Shopping data with internal pricing tools, analytics platforms, market intelligence systems, or ecommerce workflows.
Google Shopping Price Monitoring API
Monitor competitor prices and seller activity across Google Shopping from one structured data feed.
Our Google Shopping Price Monitoring API helps pricing and ecommerce teams track:
- Competitor product prices
- Price increases and reductions
- Promotional pricing
- Discount activity
- Seller-specific prices
- Pricing gaps
- Product availability
- Competing merchants
Use recurring pricing data to compare market changes and support faster, data-driven pricing decisions.
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DoorDash API
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Google Maps Places API
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Skyscanner API
Access flight prices, routes, airlines, schedules, availability, and travel fare data from Skyscanner for travel intelligence.
How Businesses Use Google Shopping Scraper API
At iWeb Scraping, our strength lies in engineering powerful, scalable data extraction systems that deliver exactly what your business needs in the format you need it.
1. Competitor Price Monitoring
Track competitor product prices, discounts, and offers across Google Shopping to make better pricing decisions and stay competitive.
2. E-commerce Market Research
Collect product listings, categories, brands, and pricing trends to analyze market demand and identify new business opportunities.
3. Dynamic Pricing Optimization
Use real-time shopping data to adjust product prices based on competitor changes, market trends, and customer demand.
4. Product Availability Tracking
Monitor product availability, stock status, and seller information to improve inventory planning and avoid missed sales opportunities.
5. Brand & Product Performance Analysis
Analyze product visibility, seller rankings, reviews, and pricing patterns to measure brand performance and optimize marketing strategies.
6. Seller Analysis
Compare merchants selling the same or similar products and monitor differences in pricing, offers, and availability.
7. Assortment Intelligence
Analyze competitor product ranges, brands, models, and categories to identify assortment gaps and market opportunities.
Why Choose Us
We provide dependable, scalable solutions that simplify how businesses collect, organize, and use information from digital sources.
Built Around Your Requirements
Define the products, fields, sellers, markets, frequency, and delivery method you need.
Clean Structured Data
Receive organized datasets instead of unstructured search-result information.
Multiple Delivery Options
Use API, JSON, CSV, Excel, database, or cloud delivery to match your business workflow and integration needs.
Designed for Scale
Support recurring monitoring across large product catalogs, keywords, categories, and seller lists.
Flexible Scheduling
Configure one-time, daily, weekly, or custom collection cycles based on your business requirements.
Integration Support
Connect Google Shopping data with pricing systems, analytics platforms, dashboards, databases, and internal applications.
What Our Clients Say
We approached iWeb Scraping for extracting product listings from an osCommerce-based website along with multiple eCommerce platforms. Their team delivered clean, structured, and highly accurate datasets that perfectly matched our requirements. The entire process was smooth and professional.
I used iWeb Scraping services for an online job data extraction project, and the results were highly accurate and cost-effective. The data was delivered exactly as required, and I would definitely choose their services again for future data extraction needs.
I’m really impressed with the web scraping services provided by iWeb Scraping. The process was fast, seamless, and highly precise. The final dataset was accurate and delivered without any issues. We are fully satisfied with the outcomes.
My first experience with iWeb Scraping was for a small data extraction task, and it went exceptionally well. Since then, I have continued using their web scraping services regularly. Their accuracy, speed, and reliability make them one of the best companies I’ve worked with.
iWeb Scraping has been a valuable partner for our business. It’s rare to find a company that delivers web scraping, data extraction, and screen scraping services with such speed and precision. Their data quality and consistency have been outstanding.
Want to Extract Google Shopping Data for Your Business?
Get real-time Google Shopping insights to improve pricing, research markets, and grow your e-commerce strategy with the right data.
Frequently Asked Questions
Find quick answers to the most common questions about our data extraction, APIs, and web scraping solutions
A Google Shopping Scraper API collects available Google Shopping product, price, seller, rating, and availability information and delivers it as structured data.
You can collect available product names, URLs, images, brands, prices, sellers, ratings, review counts, availability, offers, and shopping-result information.
Yes. You can use recurring Google Shopping data collection to monitor competitor prices, discounts, seller offers, pricing changes, and product availability.
Yes. The solution can be configured around large product lists, keywords, categories, brands, sellers, and recurring data requirements.
Collection frequency can be configured according to your project requirements, including one-time, daily, weekly, or custom schedules.
Data can be delivered through API, JSON, CSV, Excel, database, or supported cloud delivery options.
Yes. You can define the product, pricing, seller, rating, availability, and other available fields required for your dataset.
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