Google Shopping Dataset - 132.01M Leads in United States — September 2
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Google Shopping Dataset - 132.01M Leads in United States — September 2026 Edition

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Google Shopping Dataset - 132.01M Leads in United States — September 2026 Edition
Updated: Aug 19, 2026

🌐 Google Shopping Dataset - 132.01M Leads in United States — September 2026 Edition

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Regular)1,000,000
Rows (Extended)2,000,000
Sales0
Views11
CountryUnited States
📦 Data2Sales AI
Premium

Google Shopping Dataset — 132.01M records for Price & Product Research

The Google Shopping dataset is a clean, structured, analysis-ready database of 132.01M records across 46 data fields, sourced from google.com and refreshed monthly. Every record is standardised for enrichment, lead generation, market research and competitor analysis — ready to import into your CRM or data pipeline.

What's included

Key fields: url, product id, title, product description, rating, reviews count, images, variations, tags, product details, and 36 more. See the full data dictionary below.

Pricing

This is a pay-per-record dataset with a minimum order of 70,000 records. See the order panel for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you choose, so the more you buy, the larger the order.

Common use cases

  • Enrich your existing e-commerce records with fresh, verified data.
  • Build targeted outreach and lead-generation campaigns.
  • Run market, pricing and competitor research at scale.
  • Feed AI/ML models with structured, deduplicated training data.
urltitleratingdb sourcetimestampproduct id
https://www.google.com/search?ibp=oshop&...Casque Neotec 3 Shoei17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...ESTEXO Blumentopf Einsatz Pflanztopf Anz...17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...CONQUERANT Cahier piqûre 17x22cm 32 page...17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...Vaso Tondo Festonato Resina Colore Terra...17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...Idmarket Tavolo da pranzo effetto marmo17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...Sweat Femme Alpinestars Stella Radium Te...17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...Tettoia auto singola Eurogarden in allum...17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...Jante tole grise type origine 4 x 130 gr...17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...The White Stone Brandina Pieghevole con...17845971700332026-07-21
https://www.google.com/search?ibp=oshop&...Paranco elettrico VEVOR 250 kg 510 W con...17845971700332026-07-21

Sample@if($records) of 2M records@endif — 46 fields total. Purchase to unlock the full dataset.

ColumnDescriptionTypeFill rate
url The URL or link to the product Url
100%
product_id Unique identifier for the product Text
82.54%
title Title or name of the product Text
87.06%
product_description Description of the product Array
45.48%
rating Average rating of the product Number
57.57%
reviews_count Number of ratings or reviews for the product Number
32.52%
images Images of the product Array
87.02%
variations Product variations Array
28.5%
tags Tags associated with the product Array
32.74%
product_details Additional details about the product Text
20.64%
amount_of_stars Distribution of star ratings Object
35.57%
seller_name Name of the seller or vendor Text
87.05%
delivery_price Price for delivery. Text
37.54%
return_policy Details of the return policy Text
30%
item_price Price of the item Text
86.9%
total_price Total price including all costs Text
86.92%
currency Currency code in which the product prices are denominated (e.g., USD, EUR, GBP) Text
46.72%
product_specifications Specifications of the product Array
29.67%
related_items Related items Array
43.49%
country Country code or name where the product is being sold or where the listing was scraped from Text
0.01%
buying_options The buying options of the product across different sellers, each with seller name, URL, price, and currency Array
86.32%
variant_id Variant identifier, derived from product_id (no separate variant ID in Google Shopping) Text
9.31%
description Product description text, derived from product_description array joined into single text, or from product_details Text
39.63%
product_category Product category path as text (not available in Google Shopping) Text
0%
category_tree NAI-formatted category tree with name/url objects (not available in Google Shopping) Array
0%
brand Brand name, extracted from product_specifications where specification_name='Brand' Text
4.98%
image_url Main product image URL, derived from first element of images array Text
46.69%
price Product price, parsed from item_price text (remove $ and extra text) Text
46.09%
sale_price Sale/discounted price (not available in Google Shopping - no separate sale price) Text
0%
availability Product availability status: default to 'in_stock' for listed products Text
58.71%
availability_date Expected delivery/availability date, extracted from delivery_price text if present Text
13%
group_id Group identifier for product variants, derived from product_id Text
52.24%
listing_has_variations Indicates if the product listing has multiple variations, derived from variations array Boolean
57.73%
variant_attributes Current variant attributes for this product, derived from variations with variation_name→name, variation_value→value mapping Array
9.39%
nai_variants NAI-formatted variant data grouped by variant type, restructured from variations array Array
9.39%
store_name Name of the store/seller, derived from seller_name Text
46.14%
seller_url URL to the seller's product page, extracted from first seller_url in buying_options array Text
46.14%
seller_privacy_policy URL to the seller's privacy policy Text
58.71%
seller_tos URL to the seller's terms of service Text
58.71%
return_window Number of days allowed for returns, parsed from return_policy text Number
19.25%
target_countries List of country codes where product is available, derived from country wrapped in array Array
58.71%
store_country Country code where the store is located, derived from country Text
58.71%
category_urls List of category URLs (not available in Google Shopping) Array
0%
all_variations Flag indicating if all variations were collected Boolean
0.01%
reviews Review entries from customers for the product Array
17.23%
timestamp Date

Frequently asked questions

The Google Shopping dataset contains approximately 132.01M records across 46 fields, refreshed monthly.

It is priced per record with a minimum order of 70,000 records. See the order panel on this page for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you select.

Fields include url, product id, title, product description, rating, reviews count, images, variations and more — the complete list is in the data dictionary on this page.

It is aggregated from google.com and other public, compliant sources, then cleaned, standardised and de-duplicated before delivery.

As a structured CSV/Excel export ready for CRM import or BI analysis, delivered after purchase. A free sample is available on this page.

The dataset is refreshed monthly so records stay accurate for outreach and analysis.

License Option

Instant download · verified data

On Sale
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel
Total $7,990

2,000,000 records available · built from the live database at purchase, delivered as CSV.

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License Option
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Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Aug 19, 2026 17:39 PM

Published:

Jul 21, 2026 11:25 AM

Country:

United States

Total records:

2,000,000

Category:

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