AI-Based E-commerce Data Scraping and Analytics Platform

Our Technology

Distributed Data Aggregation Platform

Our data aggregation platform can easily aggregate data each day from the web across zip codes, geographics, and languages. Whether you want data from web or mobile apps, we are here to help you.

We keep you ahead of the competition by acquiring data from broad verticals. We maintain records of all historical data obtained to deliver you unique data updates.

As data are collected, we then move for further processing.

AI-Enabled Data Enrichment

Our AI-enabled image and text analytics clean the data aggregated from the web pages. After organizing them, only meaningful information is churned out.

Our complex machine learning and information retrieval algorithms help to achieve sensible data. Products are categorized into retail taxonomy, unstructured text features, and tags to give a detailed report on miniscule.

With this categorization, sorting out products across e-commerce websites get easy. We help you achieve identical product recommendations.

Human-in-the-Loop

We understand that every business’s success depends on its top and bottom lines. So, we never rely only on tools. We ensure that along with machine-driven calculations, human intelligence is also added to achieve a maximum success rate.

This way, we always maintain a self-feedback process by keeping human-in-loop.

Diverse Delivery Modules

All our insights are easy to understand and implement. We ensure business insights are easily accessible through our SaaS-based web portal via dashboards, visualizations, and reports. We understand that one size never fits all. So, all our insights are customized based on each role to use the right long-term strategies.

Our plug-and-play APIs give easy access to data, allowing businesses to amalgamate external and internal data to generate anticipating intelligence.

We help you stay competitive online by tracking competitors’ pricing and promotion data at SKU levels.

No Matter What You Need, We Will Help You

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.

Awards

Recipient of Top Industry Awards

92% of employees believe this is an excellent workplace.

Top Web Scraping Company USA

Top Data Scraping Company USA

Best Enterprise-Grade Web Company

Leading Data Extraction Company

Top Big Data Consulting Company

Best Company with Great Price!

Best Web Scraping Company

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 25, 2025

How an Alcohol Retailer Gained Real-Time Pricing Data Using BevMo and Total Wine Data APIs

Access real-time pricing data using BevMo and Total Wine Data APIs to track alcohol prices, compare retailers, analyze trends, and optimize pricing strategies.

Dec 24, 2025

How Automated Price Tracking Became Possible with an Amazon vs Walmart Price Intelligence API

This case study shows how an Amazon vs Walmart Price Intelligence API enabled automated price tracking, competitive benchmarking, and faster pricing decisions across retail channels.

Dec 23, 2025

Real-Time Shrinkflation Tracking Using Grocery SKU Data Across Major U.S. Retail Chains

Real-Time Shrinkflation Tracking Using Grocery SKU Data uncovers hidden size reductions, price changes, and packaging shifts across major U.S. retail chains.

Dec 18, 2025

Cosmetics Pricing Intelligence - Analyzing Oriflame Product Prices Using Web Scraping

This research report analyzes Oriflame product prices using web scraping to deliver cosmetics pricing intelligence, competitive benchmarks, and market trend insights.

Dec 12, 2025

2025 Global Grocery Price Comparison – USA, Canada, Europe & Southeast Asia

2025 Global Grocery Price Comparison reveals pricing trends across the USA, Canada, Europe, and Southeast Asia, highlighting regional differences and market insights.

Dec 08, 2025

Scraping UAE Retail Prices - Real-Time Data from Supermarkets & Online Marketplaces

Research report on real-time UAE retail prices scraped from supermarkets and online marketplaces to track trends, competition, and pricing shifts.

Dec 12 2025

Reducing Returns with Myntra AND AJIO Customer Review Datasets

Analyzed Myntra and AJIO customer review datasets to identify sizing issues, helping brands reduce garment return rates by 8% through data-driven insights.

Nov 5 2025

Before vs After Web Scraping - How E-Commerce Brands Unlock Real Growth

Before vs After Web Scraping: See how e-commerce brands boost growth with real-time data, pricing insights, product tracking, and smarter digital decisions.

Oct 7 2025

Scrape Data From Any Ecommerce Websites

Easily scrape data from any eCommerce website to track prices, monitor competitors, and analyze product trends in real time with Real Data API.

Dec 15, 2025

How Real-Time Grocery Price APIs Power India & UAE Retail Intelligence (2025)

Real-time grocery price APIs help India and UAE retailers track prices, stock, and trends in 2025 to drive smarter pricing and retail intelligence decisions.

Dec 09, 2025

Top 7 Christmas Gifts from 1,00,000 Listings – Winning Products 2025

We scraped 1,00,000 Christmas gift listings and identified the 7 best-selling products predicted to dominate 2025 holiday sales trends.

Dec 04, 2025

Whiskey vs Wine Christmas Demand – Scraped Search & Pricing Data Reveal the Winner

Analyze Whiskey vs Wine Christmas demand with scraped search and pricing data—see which festive favorite leads in popularity and sales trends.

FAQs

E-Commerce Data Scraping FAQs

Our E-commerce data scraping FAQs provide clear answers to common questions, helping you understand the process and its benefits effectively.

E-commerce scraping services are automated solutions that gather product data from online retailers, providing businesses with valuable insights for decision-making and competitive analysis.

We use advanced web scraping tools to extract e-commerce product data, capturing essential information like prices, descriptions, and availability from multiple sources.

E-commerce data scraping involves collecting data from online platforms to analyze trends and gain insights, helping businesses improve strategies and optimize operations effectively.

E-commerce price monitoring tracks product prices across various platforms in real time, enabling businesses to adjust pricing strategies based on market conditions and competitor actions.