Adidas Sportswear Product Dataset For US - Scrape Adidas Sportswear Prices Dataset for US

The Adidas sportswear product dataset For US provides detailed insights into SKUs, categories, pricing, and availability across U.S. markets. Using advanced tools, brands can scrape adidas sportswear prices dataset for us to monitor discounts, compare competitors, and support data-driven pricing, assortment, and market trend analysis decisions.

120K

SKUs monitored

20+

Cities covered

Real-Time

Update frequently

What's Inside Our Datasets?

Our datasets are designed to give brands, retailers, and analysts a complete view of the sportswear market. The Adidas US sportswear inventory dataset includes SKU-level details such as product names, categories, sizes, colors, prices, discounts, and real-time availability across U.S. channels. To help brands stay ahead of trends, the adidas new launches items dataset tracks recently released products, seasonal collections, and limited editions with launch dates and pricing signals. Additionally, we Extract Sports & Outdoors Product Website Data to capture rich attributes like product descriptions, images, ratings, and promotional tags. Together, these datasets enable accurate pricing analysis, assortment optimization, demand forecasting, and competitive intelligence using reliable, structured, and continuously updated data.

Walmart Data Fields Include:

The Adidas sportswear product dataset For US includes product name, SKU, category, subcategory, price, discount, size availability, color variants, stock status, and launch date.

Sample Dataset Preview

id	Platform_Name	Country	Product_Sku_Id	Product_Name	Category	Sub_Category	Gender	Product_Color	Product_Size	Product_Price_USD	Product_Mrp_USD	Discount_Percent	Product_Rating	Review_Count	Availability_Status	Seller_Name	Product_Url	Scrape_Date
1	Adidas	USA	ADUS1001	Adidas Ultraboost 22	Footwear	Running Shoes	Men	Black	9	190	220	14	4.7	12450	In Stock	Adidas US	https://www.adidas.com/us/ultraboost-22	2025-01-15
2	Adidas	USA	ADUS1002	Adidas Ultraboost Light	Footwear	Running Shoes	Women	White	8	180	210	14	4.6	9800	In Stock	Adidas US	https://www.adidas.com/us/ultraboost-light	2025-01-15
3	Adidas	USA	ADUS1003	Adidas Superstar	Footwear	Sneakers	Unisex	White	10	85	100	15	4.8	35600	In Stock	Adidas US	https://www.adidas.com/us/superstar	2025-01-15
4	Adidas	USA	ADUS1004	Adidas Stan Smith	Footwear	Sneakers	Unisex	Green	9	90	110	18	4.7	29800	In Stock	Adidas US	https://www.adidas.com/us/stan-smith	2025-01-15

Use Cases

Price Benchmarking

Assortment Optimization

Trend Forecasting

Inventory Monitoring

Competitive Analysis

Demand Planning

Why Product Data Scrape?

Why Choose Product Data Scrape for Retail Data Web Scraping?

Choose Product Data Scrape for Retail Data scraping to access accurate data, enhance decision-making, and boost your online sales strategy.

Reliable Insights

With our Retail data scraping services, you gain reliable insights that empower you to make informed decisions based on accurate product data.

Data Efficiency

We help you extract Retail Data product data efficiently, streamlining your processes to ensure timely access to crucial market information.

Market Adaptation

By leveraging our Retail data scraping, you can quickly adapt to market changes, giving you a competitive edge with real-time analysis.

Price Optimization

Our Retail Data price monitoring tools enable you to stay competitive by adjusting prices dynamically, attracting customers while maximizing your profits effectively.

Competitive Edge

With our competitor price tracking, you can analyze market positioning and adjust your strategies, responding effectively to competitor actions and pricing.

Feedback Analysis

Utilizing our Retail Data review scraping, you gain valuable customer insights that help you improve product offerings and enhance overall customer satisfaction.

Process

How We Scrape E-Commerce Data?

Identify Target Websites

Begin by selecting the e-commerce websites you want to scrape, focusing on those that provide the most valuable data for your needs.

Select Data Points

Determine the specific data points to extract, such as product names, prices, descriptions, and reviews, to ensure comprehensive insights.

Use Scraping Tools

Utilize web scraping tools or libraries to automate the data extraction process, ensuring efficiency and accuracy in gathering the desired information.

Data Cleaning

After extraction, clean the data to remove duplicates and irrelevant information, ensuring that the dataset is organized and useful for analysis.

Analyze Extracted Data

Once cleaned, analyze the extracted e-commerce data to gain insights, identify trends, and make informed decisions that enhance your strategy.

See the results that matter

Read inspiring client journeys

Discover how our clients achieved success with us.

6X

Conversion Rate Growth

“I used Product Data Scrape to extract Walmart fashion product data, and the results were outstanding. Real-time insights into pricing, trends, and inventory helped me refine my strategy and achieve a 6X increase in conversions. It gave me the competitive edge I needed in the fashion category.”

Emily Johnson

E-Commerce Manager

7X

Sales Velocity Boost

“Through Kroger sales data extraction with Product Data Scrape, we unlocked actionable pricing and promotion insights, achieving a 7X Sales Velocity Boost while maximizing conversions and driving sustainable growth.”

Sarah Miller

Grocery Retail Analytics Lead

"By using Product Data Scrape to scrape GoPuff prices data, we accelerated our pricing decisions by 4X, improving margins and customer satisfaction."

Daniel Williams

Quick Commerce Growth Manager

"Implementing liquor data scraping allowed us to track competitor offerings and optimize assortments. Within three quarters, we achieved a 3X improvement in sales!"

Matthew Davis

Category Head – Beverages & Liquor

Resource Hub: Explore the Latest Insights and Trends

The Resource Center offers up-to-date case studies, insightful blogs, detailed research reports, and engaging infographics to help you explore valuable insights and data-driven trends effectively.

Get In Touch

Dec 25, 2025

Analyzing Hyperlocal Grocery Trends Using Real-Time Data from Swiggy Instamart, BigBasket & Flipkart Minutes

Analyzing hyperlocal grocery trends using real-time data from Swiggy Instamart, BigBasket & Flipkart Minutes to uncover demand shifts, pricing patterns, and growth insights.

Dec 24, 2025

Scrape wine prices pão de açúcar - Tracking Premium Alcohol Trends in Brazil

Scrape wine prices Pão de Açúcar to track premium alcohol trends in Brazil, uncover pricing shifts, brand positioning, and consumer demand insights.

Dec 23, 2025

How U.S. Grocery Chains Use Data Scraping APIs to Predict Shopping Trends for 2025?

This study explores how U.S. grocery chains use data scraping APIs to predict shopping trends for 2025, enabling smarter pricing, demand forecasting, and inventory planning.

Dec 30, 2025

How We Delivered Competitive Pricing Insights on Price Wars Across FairPrice, Giant, and Sheng Siong for a Leading Retail Brand

We uncovered actionable pricing insights by analyzing Price Wars Across FairPrice, Giant, and Sheng Siong, helping a leading retail brand stay competitive in real time.

Dec 27, 2025