Extract search data from Google Shopping at scale
Navigate to the Google Shopping Search scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.
Paste the Google Shopping URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and hashtag pages.
Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.
Once complete, download your results as JSON or CSV. Each record includes 15 structured fields like url, product_id, title, final_price, and more.
Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.
Cost per record
1 credit
Output fields
15 fields
Output formats
JSON, CSV
Preview the data you'll receive — 5 sample records
15 fields returned per record
The URL of the product listing page (100.00% fill rate)
Unique identifier for the product (100.00% fill rate)
The product title (78.58% fill rate)
The final price after discounts or promotions (80.17% fill rate)
The original price before discounts (23.54% fill rate)
The currency of the product price (100.00% fill rate)
The average customer rating of the product (44.34% fill rate)
The total number of reviews the product has (50.73% fill rate)
Name of the seller (91.44% fill rate)
Delivery information (75.32% fill rate)
Thumbnail image URL for the product (99.98% fill rate)
Condition of the product (new, used, etc.) (5.84% fill rate)
Whether the listing is an advertisement (100.00% fill rate)
Position of the product in search results (100.00% fill rate)
The URL that was entered when starting the scraping process (100.00% fill rate)
Common questions about How to Scrape Google Shopping Search
Start extracting google shopping search data in minutes. No code required — just paste your URLs and go.