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 04, 2025

How to Extract Data From Any Website - Boost Efficiency by 300% with Automated Web Scraping

Learn how to extract data from any website using automated web scraping, boost efficiency by 300%, and turn raw data into actionable insights fast.

Dec 03, 2025

How to Scrape Best Buy Product Data for Analytics - Extract & Analyze Top Deals Effectively

Learn how to scrape Best Buy product data for analytics, extract top deals, and uncover actionable insights to optimize pricing, trends, and sales strategies.

Dec 02, 2025

Scrape Real-Time Fashion Pricing Data from Namshi API to Monitor 70% of Top-Selling Items and Pricing Shifts

Monitor 70% of Namshi’s top-selling fashion items and pricing shifts in real-time by using scrape real-time fashion pricing data from Namshi API.

Dec 04, 2025

How Retailers Extract Data from Website to Excel to Optimize Pricing Strategies

Discover how retailers extract data from websites to Excel, enabling real-time pricing analysis, competitive insights, and optimized revenue strategies.

Dec 04, 2025

How Businesses Scrape Bing Web Search Results to Improve Market Research Efficiency

Discover how businesses scrape Bing Web Search Results to gain faster market insights, streamline research, and enhance data-driven decision-making.

Dec 02, 2025

Scrape Walmart Grocery Product Data with Python to Monitor 80% of Bestseller SKUs and Weekly Stock Movements

Discover how Python was used to scrape Walmart grocery product data, tracking 80% bestseller SKUs and weekly stock shifts for pricing and inventory insights.

Dec 04, 2025

Real-Time Price Shock Across Singapore Grocery Chains - Monitoring Market Volatility and Consumer Impact

Track real-time price fluctuations across Singapore grocery chains with our report on Real-Time Price Shock Across Singapore Grocery Chains to understand market volatility and consumer impact.

Dec 02, 2025

Analyzing LEGO Market Trends for 2025 with LEGO price & popularity scraping insights 2025

A research report analyzing LEGO market trends for 2025 using LEGO price & popularity scraping insights 2025 to predict top-selling sets and demand patterns.

Nov 28, 2025

How Web Scraping For Grocery Sites Enables Price Benchmarking, Brand Visibility Tracking & SKU-Level Market Intelligence for Retailers

Use reliable web scraping for grocery sites to benchmark prices, track promotions, compare competitors, and improve retail decision-making with accurate data.

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.

Sept 25 2025

Walmart vs Amazon: Who Leads Online E-Commerce?

Explore how Walmart and Amazon compete in online e-commerce, comparing sales, growth trends, and strategies to see who truly leads the market.

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.

Nov 28, 2025

Vivan VS Totalwine - 7 Top Seling Products Price Comparison

Compare prices of 7 top-selling wines on Vivino and Total Wine. Find the best deals, track trends, and make smarter purchasing decisions today.

Nov 21, 2025

Toys“R”Us USA — Top 6 Best Selling Product (2025)

Discover the top 6 best-selling Toys“R”Us USA products of 2025, highlighting trends, popular toys, and must-have items for kids and collectors alike.

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.