How to Scrape Google Shopping with Apify (2026 Guide)

Quick answer: what can you scrape from Google Shopping?

Apify's Google Shopping Scraper extracts: product titles, prices, seller names, seller ratings, product ratings, review counts, availability status, shipping info, product URLs, and images. You can search by keyword (e.g., "wireless earbuds") and get all products listed on Google Shopping for that query. For ecommerce, this means automated competitor price monitoring and product trend research at scale.

A single scrape of "wireless earbuds" returns 100+ products with prices from 20+ sellers — data that would take hours to collect manually.

Step-by-step: scraping Google Shopping with Apify

Here is the complete workflow:

1. Create a free Apify account at apify.com — Create a free Apify account at apify.com
2. Go to Apify Store and search for "Google Shopping Scraper" — Go to Apify Store and search for "Google Shopping Scraper"
3. Click "Try for free" to open the actor configuration — Click "Try for free" to open the actor configuration
4. Enter your search query In the "queries" field, type product keywords. Example: ["wireless earbuds", "bluetooth speaker", "phone case iPhone 15"]
5. Set max results per query Start with 50 for testing, increase to 200+ for production
6. Set country and currency Choose your target market (e.g., US/USD, UK/GBP, FR/EUR)
7. Click "Start" — the actor begins scraping. 100 results takes ~2-3 minutes — Click "Start" — the actor begins scraping. 100 results takes ~2-3 minutes
8. Export data Download as JSON, CSV, or Excel from the Dataset tab
9. Analyze Open in Excel/Google Sheets. Sort by price, filter by rating, compare sellers

Data fields from Google Shopping scraper

The Apify Google Shopping Scraper extracts these fields per product:

• Product title: Full product name as shown on Google Shopping
• Price: Current price in the target currency
• Seller name: Merchant listing the product
• Seller rating: Star rating of the seller (1-5)
• Product rating: Star rating of the product (1-5)
• Review count: Total reviews for the product
• Availability: In stock, out of stock, limited availability
• Shipping info: Shipping cost and delivery time (when available)
• Product URL: Link to the product listing on the seller's site
• Google Shopping URL: Link to the Google Shopping listing
• Image URL: Product image
• Brand: Product brand name (when available)
• GTIN/MPN: Product identifiers (when available)

Ecommerce use cases for Google Shopping data

Google Shopping data powers several ecommerce strategies:

• Competitor price monitoring: Track prices of the same products across sellers. Identify who is undercutting you and by how much
• Product trend research: Search for broad categories ("skincare", "home gym equipment") and sort by review count. High-review products are trending
• Price gap analysis: Compare your prices to the Google Shopping average. If you are 20% above average without a clear differentiation, you are losing sales
• Seller landscape: Identify top sellers for each product category. Understand who you are competing against on Google Shopping
• Availability monitoring: Track when competitors go out of stock. Increase ad spend when competitors are unavailable to capture their demand
• New product discovery: Search for emerging categories ("AI phone case", "magnetic phone mount"). Find products with growing demand before they saturate
• Rating benchmarking: Compare your product rating and review count to competitors. Products with 4.5+ stars and 500+ reviews dominate Google Shopping
• Shipping comparison: Track competitors' shipping costs and delivery times. Free/fast shipping wins Google Shopping placements

Setting up automated price monitoring

For ongoing competitive intelligence, set up scheduled Apify runs:

• Go to your Google Shopping Scraper actor in Apify
• Click "Schedules" → "Create schedule"
• Set frequency: Every 24 hours for daily price monitoring, every 12 hours for fast-moving categories
• Set search queries: Enter your top 10-20 product keywords
• Set max results: 100-200 per query is sufficient for price monitoring
• Enable notifications: Apify emails you when each run completes
• Export data weekly: Download the accumulated dataset for trend analysis
• Set up price change alerts: Use Apify webhooks to trigger a notification when a competitor's price drops below a threshold

Turning price data into pricing strategy

Raw price data becomes actionable when you analyze it systematically:

• Calculate market average: For each product, calculate the average price across all sellers. This is your pricing benchmark
• Identify price leaders: Who consistently offers the lowest price? Are they competing on price or loss-leading?
• Find premium opportunities: Products where all sellers are priced high indicate low competition. Consider entering these niches
• Track sale cycles: Do competitors run sales on specific days (e.g., every Friday)? Time your promotions to counter theirs
• Price elasticity: When a competitor drops price by 10%, does their review count or rating increase? This indicates price sensitivity
• Map price vs rating: Plot price against product rating. Products with high ratings but low prices are your biggest competitive threats
• Dynamic pricing: Use the scraped data to inform your own pricing. If the market average drops, consider matching or differentiating on value
• Bundle opportunities: If products A and B are frequently listed together, create a bundle at a slight discount to capture combined demand

Cost and ROI

Google Shopping scraping with Apify is extremely cost-effective:

• 50 results per query: ~$0.10-0.20 in compute costs
• 500 results per query: ~$1-2 in compute costs
• Daily monitoring of 20 keywords: ~$20-30/month in compute costs
• Apify free tier: $5/month — enough for weekly monitoring of 5-10 keywords
• Apify Starter: $49/month — enough for daily monitoring of 20-50 keywords
• Compare to price monitoring tools: Prisync ($99-$399/month), Price2Spy ($27-$550/month). Apify is 50-90% cheaper
• ROI: One pricing adjustment based on competitor data can recover the Apify subscription cost in a single sale