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Home/Integrations/How to Scrape Google Shopping Products into Webhooks
Google ShoppingWebhooks

How to Scrape Google Shopping Products into Webhooks

Extract products data from Google Shopping and deliver via Webhooks automatically

Step-by-step guide

1

Choose the Google Shopping Products scraper

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.

2

Set up your Webhooks connection

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.

3

Provide your Google Shopping input URLs

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.

4

Launch the scraping job

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.

5

Receive data in Webhooks

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

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5
Url
sample_url
Product Id
sample_product_id
Title
How We Scaled to 1M Users
Product Description
sample_product_description
Rating
4.5
Reviews Count
457
Images
sample_images
Variations
sample_variations
Initial Price
sample_initial_price
Final Price
sample_final_price
Currency
sample_currency
Product Condition
sample_product_condition
Sellers
sample_sellers
Product Specifications
sample_product_specifications
Product Reviews
sample_product_reviews
Categories
Coffee & TeaBreakfast & Brunch
Input Url
https://www.linkedin.com/in/sarahchen

Data Dictionary

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 name
valueTextVariation value

Original 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 name
linkTextLink to seller
priceTextPrice from this seller
ratingNumberSeller rating
reviewsNumberNumber of seller reviews
conditionTextProduct condition from this seller

Technical specifications of the product (75.42% fill rate)

Sub-fields

specification_nameTextName of the specification
specification_valueTextValue of the specification

Customer reviews for the product (52.11% fill rate)

Sub-fields

nameTextReviewer name
ratingNumberReview rating
dateTextReview date
textTextReview text

Product categories (98.65% fill rate)

Sub-fields

nameTextCategory name
urlTextCategory URL

The URL that was entered when starting the scraping process (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Google Shopping Products into Webhooks

Ready to connect Google Shopping data to Webhooks?

Start extracting google shopping products data and deliver via Webhooks in minutes.

Go to Google Shopping Products scraperBrowse all integration guides
No code requiredAuto-delivery to Webhooks17 data fields