ShoppingScraper
Real-time Google Shopping data for smarter pricing
What Is ShoppingScraper?
ShoppingScraper is a dedicated Google Shopping and marketplace data pipeline that exposes structured product, offer, and pricing data via API. Teams can monitor prices in real time, schedule automated data collection, and use repricing APIs and dynamic rules to power pricing automation. The platform supports product lookups via GTIN, EAN, or ASIN, multi-country price comparison across 50+ markets, and product page and variant scraping. Developers can work faster with a visual API playground, bulk exports in CSV/JSON, and sitemap URL extraction for large catalogs. Designed for high-volume scenarios, ShoppingScraper scales with concurrency, coverage, and credits across Growth, Advanced, and Enterprise plans.
Quick Snapshot
ShoppingScraper centralizes real-time Google Shopping and marketplace data into a single API so e‑commerce teams can monitor prices, compare offers, and automate repricing at scale. It replaces manual scraping and fragmented tools with reliable, production-ready pricing and product data endpoints.
- Works on
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- Web
- API
- Pricing Model
- Subscription
Starting at €199/month — Subscription plans start at €199/month (Growth), with higher-volume Advanced and custom Enterprise tiers. All plans include scheduled processing, EAN/GTIN matching, pricing endpoints, CSV/JSON exports, 99% uptime, and 100 free API credits to evaluate the service. - Fits on
- Affiliate Program
- We could not identify an affiliate program.
- API Availability
- ShoppingScraper has an API available.
- Key Features
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- Centralized Google Shopping pricing intelligence API
- Automated competitor monitoring and dynamic repricing
- Scalable, structured product and offer data pipeline
- Audience
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- retailers
- brands
- marketplaces
- ecommerce analysts
- pricing teams
- data engineers
- SaaS platforms
- agencies
Screenshot
Key Features of ShoppingScraper
Google Shopping data API
Provides a dedicated API pipeline to access structured product, offer, and pricing data from Google Shopping in real time.
Multi-identifier lookups
Supports product lookups by GTIN, EAN, or ASIN, making it easier to match and unify product records across systems.
Price monitoring and scheduling
Enables automated, scheduled price monitoring jobs so teams can keep pricing data fresh without manual scraping.
Repricing and dynamic rules
Offers repricing APIs and dynamic pricing rule capabilities to automate price changes based on competitive and market data.
Product and variant scraping
Scrapes product pages, including variants, to capture detailed product information and offers from major marketplaces.
Sitemap URL extraction
Extracts product URLs from sitemaps to simplify onboarding of large catalogs and high-volume data collection.
Visual API playground
Includes an interactive playground so developers can test endpoints, parameters, and responses before integrating.
CSV and JSON exports
Delivers results in CSV or JSON formats, allowing easy import into data warehouses, BI tools, or internal applications.
Scalable infrastructure
Designed for high volume with concurrency, coverage, and credit-based plans that support Growth, Advanced, and Enterprise needs.
Use Cases for ShoppingScraper
Competitor price monitoring
Continuously track competitor prices across Google Shopping and marketplaces in 50+ countries, enabling faster, data-driven pricing adjustments and promotions.
Dynamic pricing automation
Feed real-time product and offer data into repricing APIs and rules so your systems can automatically adjust prices based on market conditions and targets.
Assortment and catalog research
Analyze product availability, variants, and merchant offers to optimize your assortment strategy and identify gaps or new product opportunities.
SaaS pricing intelligence features
Embed ShoppingScraper’s structured pricing and product data into SaaS platforms to power price comparison, alerts, and intelligence dashboards for end users.
Marketplace content operations
Use AI-powered content generation and page scraping to keep product information, variants, and URLs synchronized across multiple channels and marketplaces.
Frequently Asked Questions
What is ShoppingScraper used for?
ShoppingScraper is used to collect real-time product, offer, and pricing data from Google Shopping and major marketplaces via API, enabling competitor monitoring, pricing analysis, and dynamic pricing automation.
Which product identifiers does ShoppingScraper support?
ShoppingScraper supports product lookups using GTIN, EAN, and ASIN identifiers, helping you reliably match products across different data sources.
Can ShoppingScraper monitor prices in multiple countries?
Yes, ShoppingScraper can compare and monitor prices across more than 50 countries, making it suitable for global e-commerce operations.
Does ShoppingScraper offer a free trial or free credits?
ShoppingScraper includes 100 free API credits on its subscription plans so you can evaluate data quality, endpoints, and workflows before scaling usage.
What is the starting price for ShoppingScraper?
ShoppingScraper’s paid plans start at €199 per month for the Growth tier, with higher-volume Advanced and custom Enterprise plans available.
Does ShoppingScraper provide a visual API playground?
Yes, ShoppingScraper includes a visual API playground where developers can interactively test endpoints, parameters, and responses.
Can I export ShoppingScraper data to CSV or JSON?
Yes, ShoppingScraper supports CSV and JSON exports so you can easily load pricing and product data into your analytics, BI, or internal systems.
Is there an affiliate program for ShoppingScraper?
ShoppingScraper does not list an affiliate program, and affiliate commission details are currently unknown.
ShoppingScraper · Our Verdict
ShoppingScraper stands out as a focused pricing intelligence API built specifically around Google Shopping and major marketplaces, which makes it highly relevant for serious e-commerce operations. Its combination of structured product data, multi-country coverage, and built-in repricing endpoints positions it more as an infrastructure layer than a simple scraper, especially for pricing teams and SaaS platforms that need reliability and scale.