Is it legal to scrape Google Shopping products?

Scrapernode only collects publicly available data from Google Shopping. We comply with applicable laws and platform terms. Our infrastructure handles rate limiting and respectful crawling automatically.

How much does it cost to scrape Google Shopping products?

Each products record costs 1 credit. Credits start at $9 for 3,000 credits (Starter plan). Volume discounts are available — the Scale plan offers 100,000 credits for $149.

What data fields are included when scraping Google Shopping products?

The Google Shopping Products scraper returns 17 structured fields including url, product_id, title, product_description, rating, reviews_count, and more. See the full data dictionary below for all available fields.

How fast is Google Shopping products scraping?

Fresh scrapes typically complete in under 60 seconds per batch of URLs. Quick Lookups return pre-collected data instantly. For bulk operations, you can submit thousands of URLs in a single job.

Can I automate Google Shopping scraping?

Yes. Scrapernode offers a REST API, webhooks, and native integrations with n8n, Make, and Zapier. You can schedule recurring scrapes or trigger them from your own applications.

Google Shopping

How to Scrape Google Shopping Products

Extract products data from Google Shopping at scale

Step-by-step guide

Choose your Google Shopping products scraper

Navigate to the Google Shopping Products scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

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 hashtag pages.

Launch your 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.

Download structured data

Once complete, download your results as JSON or CSV. Each record includes 17 structured fields like url, product_id, title, product_description, and more.

Automate with webhooks or API

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

17 fields

Output formats

JSON, CSV

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

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

Ready to scrape Google Shopping?

Start extracting google shopping products data in minutes. No code required — just paste your URLs and go.

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