Extract products data from Google Shopping and deliver via Webhooks 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.
Add your endpoint URL in the Scrapernode webhook settings. Each completed job sends a POST request with the full JSON payload, including all output fields and metadata.
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 delivers the full JSON payload to your endpoint. Each record includes 17 structured fields like url, product_id, title, product_description. Parse the payload in your application and process the data as needed.
Cost per record
1 credit
Output fields
17 fields
Destination
Webhooks
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 Webhooks
Start extracting google shopping products data and deliver via Webhooks in minutes.