Google Shopping Price Intelligence

Google Shopping price intelligence for products and competitor pricing

Google Shopping Price Intelligence turns shopping-search results into a clean dataset for competitor price monitoring, ecommerce research, product benchmarking, and AI-agent workflows.

Enter one or more product queries such as wireless earbuds, standing desk, or a specific model name. The Actor returns normalized product rows with numeric prices, currency, merchant, rating data when available, product links, and query-level market statistics.

Unlike a raw search-response proxy, this Actor performs normalization and analysis so the output is ready for spreadsheets, databases, BI workflows, scheduled monitoring, and downstream agents.

Google Shopping scraper alternative for price intelligence

If you are looking for a Google Shopping scraper, Google Shopping API workflow, competitor price monitoring tool, or product price intelligence dataset, this Actor is designed for analysis-ready ecommerce data rather than raw search-response passthrough.

It normalizes product prices and merchants, removes duplicate rows, and adds query-level price statistics so the output can be used directly for competitor monitoring, product benchmarking, dashboards, scheduled research, and AI-agent workflows.

What you get

Each delivered product can include:

• Product title and shopping rank
• Parsed numeric price and currency
• Merchant or seller
• Rating and review count when available
• Product image and product link when available
• Query-level product and merchant counts
• Minimum, median, and maximum observed price
• Price-spread percentage
• Timestamp and retry metadata

The Actor removes duplicate rows within each query before writing results to the dataset.

Price monitoring and competitor analysis

Use repeated scheduled runs to compare the same query over time. Export datasets as JSON, CSV, Excel, XML, or Parquet using Apify's standard dataset tools.

Typical workflows include:

• Track competitor prices for a product category
• Compare sellers visible in Google Shopping
• Detect unusually wide price spreads
• Build product-pricing research datasets
• Feed fresh shopping data into an AI agent
• Create ecommerce dashboards and recurring reports

Input

queries accepts up to 10 product searches per run.

country selects the shopping market, for example us, gb, de, or au.

language sets the interface language.

limit controls the maximum requested products per query, up to 55.

maxAttempts controls retry handling for temporary upstream failures.

Free-plan evaluation limits

To keep the free trial sustainable while still letting users inspect real output, runs started by Apify Free users are limited to one query and up to 10 products. Paid Apify users can use the full input limits.

Reliability

Shopping data can occasionally require retries. The Actor uses bounded retry and backoff for transient errors rather than retrying indefinitely. Some queries can therefore take longer than others.

The number of available products depends on the search term and market. A requested limit is a maximum, not a guarantee that every query will return that many products.

Output and API use

Results are written to the default Apify dataset and are available through Apify Console, REST API, SDKs, schedules, webhooks, integrations, and MCP-compatible workflows.

This Actor returns normalized value-added records rather than exposing an upstream API response directly.

Responsible use

Use the data in compliance with applicable laws, platform terms, and third-party rights. Product availability, prices, sellers, and rankings can change after a run completes.

This Actor is an independent tool and is not affiliated with or endorsed by Google.

Pricing

Price: $0.003 per delivered product result ($3 per 1,000 results).

Platform usage is included in the event price and is not charged separately.

Free Apify users receive the limited evaluation sample described above.