Google Shopping Scraper

Scrapes Google Shopping search results and extracts structured product data including prices, ratings, store names, shipping info, and more. Built for automated price monitoring, competitor analysis, and e-commerce market research at scale.

What it does

This actor searches Google Shopping for any product query and returns structured data for every result, including:

• Product title and description
• Price with currency detection
• Store/merchant name
• Star rating and review count
• Product URL (direct link to the store listing)
• Image URL for product thumbnails
• Shipping information
• Condition (new, refurbished, used)

Results can be filtered by price range, sorted by relevance/price/reviews, and localized to 20+ countries.

Use cases

Price monitoring

Track product prices across multiple retailers over time. Run the actor on a schedule (daily, hourly) to build a pricing history database and get alerts when prices drop below your target.

Competitor analysis

See which stores are selling competing products, at what price points, and with what ratings. Identify underpriced competitors, monitor MAP (Minimum Advertised Price) compliance, and find gaps in the market.

E-commerce research

Discover trending products, analyze price distributions across a category, find which merchants dominate specific niches, and validate product ideas before investing in inventory.

Dropshipping & arbitrage

Find price discrepancies between retailers. Compare Google Shopping prices with Amazon, eBay, or wholesale sources to identify profitable arbitrage opportunities.

Market intelligence

Build datasets for ML/AI models. Analyze pricing patterns, seasonal trends, and competitive landscapes across entire product categories.

Input parameters

Parameter	Type	Default	Description
searchQuery	string	(required)	Product or keyword to search
maxResults	integer	25	Maximum number of results (1-200)
country	string	"us"	Two-letter country code for localized results
minPrice	integer	-	Minimum price filter (local currency)
maxPrice	integer	-	Maximum price filter (local currency)
sortBy	enum	"relevance"	Sort order: relevance, price_low, price_high, review

Supported countries

US, GB, DE, FR, CA, AU, IN, JP, BR, IT, ES, NL, SE, PL, MX, KR, SG, AE, ZA, IE

Output format

Each result in the dataset contains:

{
    "title": "Sony WH-1000XM5 Wireless Noise Canceling Headphones",
    "price": 278.00,
    "currency": "USD",
    "store": "Amazon.com",
    "rating": 4.6,
    "reviewCount": 12847,
    "imageUrl": "https://encrypted-tbn0.gstatic.com/shopping?q=...",
    "productUrl": "https://www.amazon.com/dp/B09XS7JWHH",
    "description": "Industry-leading noise cancellation, 30-hour battery life...",
    "shipping": "Free shipping",
    "condition": "New",
    "position": 1,
    "searchQuery": "wireless headphones",
    "scrapedAt": "2026-03-01T12:00:00.000Z"
}

Example usage

Search with default settings

{
    "searchQuery": "mechanical keyboard"
}

Price-filtered search with sorting

{
    "searchQuery": "nvidia rtx 4090",
    "maxResults": 50,
    "country": "us",
    "minPrice": 1500,
    "maxPrice": 2500,
    "sortBy": "price_low"
}

International search

{
    "searchQuery": "running shoes",
    "maxResults": 100,
    "country": "gb",
    "sortBy": "review"
}

Tips for best results

• Use specific product names for precise results (e.g., "iPhone 15 Pro Max 256GB" instead of "phone")
• Set maxResults higher than you need since some results may be filtered out by price range
• Different countries return different products and prices — useful for cross-market comparison
• Run on a schedule for price tracking: Apify supports cron-based scheduling
• Export results as CSV, JSON, or Excel from the Apify dataset view

Limitations

• Google Shopping availability varies by country and product category
• Some product listings may have incomplete data (missing ratings, shipping info, etc.)
• Google may change their HTML structure; the actor uses multiple parsing strategies for resilience
• Very high maxResults values require pagination and will use more compute units

Changelog

v1.0 (2026-03-01)

• Initial release
• CheerioCrawler-based extraction with multiple parsing strategies
• Support for 20 countries, price filtering, 4 sort modes
• Embedded JSON extraction from script tags for maximum data coverage
• User-Agent rotation pool with 12 browser profiles

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/google-shopping-scraper").call(run_input={
    "searchTerm": "google shopping",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/google-shopping-scraper').call({
    searchTerm: 'google shopping',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));