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Home/How-To Guides/How to Scrape Google Shopping Search
Google Shopping

How to Scrape Google Shopping Search

Extract search data from Google Shopping at scale

Step-by-step guide

1

Choose your Google Shopping search scraper

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.

2

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.

3

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.

4

Download structured data

Once complete, download your results as JSON or CSV. Each record includes 15 structured fields like url, product_id, title, final_price, and more.

5

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

15 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
Final Price
1,000
Initial Price
1,000
Currency
sample_currency
Rating
4.5
Reviews Count
457
Seller Name
sample_seller_name
Delivery
sample_delivery
Thumbnail
sample_thumbnail
Product Condition
sample_product_condition
Ad
Yes
Position
Software Engineer III
Input Url
https://www.linkedin.com/in/sarahchen

Data Dictionary

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)

Frequently Asked Questions

Common questions about How to Scrape Google Shopping Search

Ready to scrape Google Shopping?

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

Go to Google Shopping Search scraperBrowse all guides
No code requiredJSON & CSV exportAPI & webhook support