Amazon Walmart Dataset - 2M Contact List · United States · Refreshed O
Data2SalesAI

Amazon Walmart Dataset - 2M Contact List · United States · Refreshed October 2026

Amazon Walmart Dataset - 2M Contact List · United States · Refreshed October 2026
Updated: Aug 19, 2026

🌐 Amazon Walmart Dataset - 2M Contact List · United States · Refreshed October 2026

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
Views16
CountryUnited States
📦 Data2Sales AI
مميز

Amazon Walmart Dataset — 2M records for Price & Product Research

The Amazon Walmart dataset is a clean, structured, analysis-ready database of 2M records across 111 data fields, sourced from verified public business registries, company websites and directories 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, title amazon, seller name amazon, brand amazon, description amazon, initial price amazon, currency amazon, availability amazon, reviews count amazon, categories amazon, and 101 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.
urldb sourcetimestampbrand amazontitle amazondescription amazon
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Sample@if($records) of 2M records@endif — 111 fields total. Purchase to unlock the full dataset.

ColumnDescriptionTypeFill rate
url Primary URL of the product (Amazon or Walmart, whichever serves as the main reference) Url
100%
title_amazon Product title on Amazon Text —
seller_name_amazon Seller name on Amazon Text —
brand_amazon Product brand on Amazon Text —
description_amazon A brief description of the product on Amazon Text —
initial_price_amazon Initial/original price on Amazon Text —
currency_amazon Currency of the product on Amazon Text —
availability_amazon Product availability status on Amazon Text —
reviews_count_amazon Number of reviews on Amazon Number —
categories_amazon Product categories on Amazon Array —
parent_asin_amazon Parent ASIN of the product on Amazon Text —
asin_amazon Unique identifier (ASIN) for each Amazon product Text —
buybox_seller_amazon Seller currently holding the buy box on Amazon Text —
number_of_sellers_amazon Number of sellers offering the product on Amazon Number —
root_bs_rank_amazon Best sellers rank in the general/root category on Amazon Number —
answered_questions_amazon Number of answered questions on Amazon Number —
domain_amazon URL of the Amazon regional domain Url —
images_count_amazon Number of images on the Amazon listing Number —
url_amazon URL that links directly to the Amazon product page Url —
video_count_amazon Number of videos on the Amazon listing Number —
image_url_amazon URL that links directly to the Amazon product image Url —
item_weight_amazon Weight of the product on Amazon Text —
rating_amazon Product rating on Amazon (0-5 scale) Number —
product_dimensions_amazon Dimensions of the product on Amazon Text —
seller_id_amazon Unique identifier for each Amazon seller Text —
date_first_available_amazon Date when the product first became available on Amazon Text —
discount_amazon Product discount information on Amazon Text —
model_number_amazon Model number of the product on Amazon Text —
manufacturer_amazon Manufacturer of the product on Amazon Text —
department_amazon Department to which the product belongs on Amazon Text —
plus_content_amazon Boolean indicating the presence of A+ content on the Amazon listing Boolean —
upc_amazon Universal Product Code on Amazon Text —
video_amazon Boolean indicating the presence of videos on Amazon Boolean —
top_review_amazon Top review for the product on Amazon Text —
final_price_high_amazon Highest value of the final price when it is a range on Amazon Text —
final_price_amazon Final price of the product on Amazon Text —
variations_amazon Details about the same product in different variations on Amazon Array —
delivery_amazon Delivery-related information on Amazon Array —
features_amazon Product features on Amazon Array —
format_amazon Format options available for the product on Amazon (e.g., Paperback, Hardcover, Kindle) Array —
buybox_prices_amazon Product price details in the Amazon buy box Object —
input_asin_amazon Input ASIN (currently inactive) Text —
ingredients_amazon Ingredients of the product on Amazon, relevant mostly for food products Text —
origin_url_amazon Origin URL on Amazon from which the product was discovered (typically a best-sellers or category page) Url —
bought_past_month_amazon Number of times the product was bought in the past month on Amazon (as displayed on the listing) Number —
is_available_amazon Indication if the product is still available on Amazon Boolean —
root_bs_category_amazon Best seller root category on Amazon Text —
bs_category_amazon Best seller category on Amazon Text —
bs_rank_amazon Best seller rank in the specific category on Amazon Number —
badge_amazon Product badge on Amazon (e.g., #1 Best Seller, Amazon's Choice) Text —
subcategory_rank_amazon Best-seller ranks per Amazon subcategory, with subcategory name and rank position Array —
amazon_choice_amazon Specifies if the product has the Amazon's Choice badge Boolean —
images_amazon URLs of the product images on Amazon Array —
product_details_amazon Full product details on Amazon as type-value pairs Array —
prices_breakdown_amazon Breakdown of Amazon pricing including typical price, list price, and deal type Object —
country_of_origin_amazon Country of origin of the product on Amazon Text —
from_the_brand_amazon 'From the Brand' section content (image URLs) showcasing the brand's other products or branded content Array —
product_description_amazon Enhanced product description content (A+ content) from Amazon as media assets with type and URL Array —
seller_url_amazon URL to the seller's storefront page on Amazon Url —
customer_says_amazon AI-generated 'Customer Says' summary of customer feedback from Amazon reviews Text —
sustainability_features_amazon Sustainability certifications and eco-friendly features (e.g., Climate Pledge Friendly badges) Array —
climate_pledge_friendly_amazon Boolean indicating whether the product is Climate Pledge Friendly certified by Amazon Boolean —
videos_amazon URLs of the product's videos on Amazon Array —
other_sellers_prices_amazon Other sellers details who sell the same product on Amazon Array —
downloadable_videos_amazon URLs of downloadable product video files (m3u8 or mp4 format) from Amazon Array —
url_walmart URL representing the Walmart product link Url —
final_price_walmart Final price of the product at Walmart Text —
sku_walmart Stock Keeping Unit (SKU) for Walmart product identification Text —
currency_walmart Currency used for the Walmart product price Text —
gtin_walmart Global Trade Item Number (GTIN) for Walmart product identification Text —
specifications_walmart Array of objects representing Walmart product specifications. Each object includes name and value Array —
image_urls_walmart Array of URLs representing Walmart product images Array —
top_reviews_walmart Object representing top reviews on Walmart, including negative and positive reviews. Each review includes rating and review text Object —
rating_stars_walmart Distribution of Walmart ratings in stars, from one star to five stars Object —
related_pages_walmart Array of related pages associated with the Walmart product Array —
available_for_delivery_walmart Boolean indicating Walmart product availability for delivery Boolean —
available_for_pickup_walmart Boolean indicating Walmart product availability for in-store pickup Boolean —
brand_walmart Brand of the product on Walmart Text —
breadcrumbs_walmart Array of objects representing Walmart breadcrumb links. Each object includes URL and name Array —
category_ids_walmart Hierarchical category IDs associated with the Walmart product Text —
review_count_walmart Number of reviews for the Walmart product Number —
description_walmart Walmart product description text Text —
product_id_walmart Unique identifier of the Walmart product Text —
product_name_walmart Name of the product on Walmart Text —
review_tags_walmart Tags associated with Walmart product reviews Array —
category_url_walmart URL of the Walmart category page associated with the product Url —
category_name_walmart Name of the Walmart category associated with the product Text —
category_path_walmart Path of the Walmart category associated with the product Text —
root_category_url_walmart URL of the Walmart root category associated with the product Url —
root_category_name_walmart Name of the Walmart root category associated with the product Text —
upc_walmart Universal Product Code (UPC) of the Walmart product Text —
tags_walmart Tags associated with the Walmart product Array —
main_image_walmart Main product image on Walmart Text —
rating_walmart Overall rating of the Walmart product Number —
unit_price_walmart Unit price of the Walmart product Number —
unit_walmart Unit of measurement for the Walmart product (e.g., fl oz, lb, oz) Text —
aisle_walmart Aisle where the product is located in Walmart stores Text —
free_returns_walmart Information about free returns for the Walmart product Text —
sizes_walmart Sizes available for the Walmart product Array —
colors_walmart Colors available for the Walmart product Array —
seller_walmart Seller of the product on Walmart Text —
other_attributes_walmart Array of objects representing additional product attributes on Walmart. Each object includes name and value Array —
customer_reviews_walmart Array of objects representing customer reviews on Walmart. Each review includes name, title, review text, and rating Array —
nutrition_information_walmart Nutrition information for Walmart food products Array —
ingredients_walmart Ingredients of the product on Walmart, relevant mostly for food products Text —
initial_price_walmart Price before the discount if exists on Walmart Number —
discount_walmart Discount value or percentage on Walmart Text —
ingredients_full_walmart Full ingredients breakdown for the Walmart product, organized by type/category and values Array —
categories_walmart Product categories on Walmart in hierarchical order from broad to specific Array —
price_difference Amazon final price - Walmart final price (positive = Amazon costs more, negative = Walmart costs more) Number —
timestamp Date —

Frequently asked questions

The Amazon Walmart dataset contains approximately 2M records across 111 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, title amazon, seller name amazon, brand amazon, description amazon, initial price amazon, currency amazon, availability amazon and more — the complete list is in the data dictionary on this page.

It is aggregated from verified public business registries, company websites and directories 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.

خيار الترخيص

تنزيل فوري · بيانات موثقة

تخفيضات
الدقة 95–98% تنزيل فوري يتم تحديثه شهريًا CSV / Excel
الإجمالي $7,990

2,000,000 سجلات متاحة · تم إنشاؤه من قاعدة البيانات المباشرة عند الشراء، ويتم تسليمه بصيغة CSV.

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اشترك للتنزيل
خيار الترخيص
شروط الترخيص
الدقة 95–98% تنزيل فوري يتم تحديثه شهريًا CSV / Excel

آخر تحديث:

أغسطس 19, 2026 17:39 م

تم النشر:

يوليو 21, 2026 11:25 ص

البلد:

United States

إجمالي السجلات:

2,000,000

الفئة:

مشاركة:

عناصر مشابهة