Extract products data from Google Shopping and send to n8n automatically
Navigate to the Google Shopping Products scraper in Scrapernode. Select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.
Install the Scrapernode community node from the n8n node library, or use the generic Webhook trigger node with your Scrapernode webhook URL. Configure the workflow to process incoming scraper data.
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 content 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.
When the job completes, Scrapernode sends the full results to your n8n workflow. Each record includes 17 fields like url, product_id, title, product_description. Route the data to any downstream app — CRMs, databases, email tools, and more.
Cost per record
1 credit
Output fields
17 fields
Destination
n8n
Preview the data you'll receive — 5 sample records
17 fields returned per record
The URL or link to the product (100.00% fill rate)
Unique identifier for the product (85.04% fill rate)
Title or name of the product (98.67% fill rate)
Description of the product (53.02% fill rate)
Average rating of the product (71.21% fill rate)
Number of ratings or reviews for the product (38.59% fill rate)
Images of the product (98.65% fill rate)
Product variations (37.48% fill rate)
Sub-fields
nameTextVariation namevalueTextVariation valueOriginal price before discounts (14.09% fill rate)
Final price after discounts (97.37% fill rate)
Currency of the price (97.37% fill rate)
Condition of the product (new, used, etc.) (49.99% fill rate)
List of sellers offering the product (92.36% fill rate)
Sub-fields
nameTextSeller namelinkTextLink to sellerpriceTextPrice from this sellerratingNumberSeller ratingreviewsNumberNumber of seller reviewsconditionTextProduct condition from this sellerTechnical specifications of the product (75.42% fill rate)
Sub-fields
specification_nameTextName of the specificationspecification_valueTextValue of the specificationCustomer reviews for the product (52.11% fill rate)
Sub-fields
nameTextReviewer nameratingNumberReview ratingdateTextReview datetextTextReview textProduct categories (98.65% fill rate)
Sub-fields
nameTextCategory nameurlTextCategory URLThe URL that was entered when starting the scraping process (100.00% fill rate)
Common questions about How to Scrape Google Shopping Products into n8n
Start extracting google shopping products data and send to n8n in minutes.