Scraper for Online Brand Protection in E-commerce Industry

MAP Violations and Merchant Analytics

Enhance price uniformity by determining MAP violations

Data analytics will provide complete information on MAP violations in the product portfolio. This includes the violations’ magnitudes, and frequencies attempted across product categories and types.

Keep an eye on online vendors/sellers who violate MAP policies frequently.

Keep track of any unlicensed seller selling your products.

Counterfeit Detection

Customers’ trust in your products is the key to brand success. Counterfeit detection increases customers’ confidence by restricting any unauthorized sellers or products.

Track counterfeit and white-labeled products of your brand getting sold on e-commerce websites. Keep track of several instances of image theft.

Track sellers constantly selling fake products online and take corrective actions.

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 31, 2025

How to Scrape AutoTrader US Data for Vehicle Pricing, Listings & Market Insights?

Scrape AutoTrader US data to analyze vehicle prices, listings, and market trends, helping dealers and analysts gain accurate insights for smarter automotive decisions.

Dec 31, 2025

How Price Intelligence Helps Businesses Stay Ahead by Improving Pricing Accuracy by 30% and Revenue Growth by 18%?

Discover how price intelligence helps businesses stay ahead by improving pricing accuracy by 30% and driving up to 18% revenue growth.

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 31, 2025

How We Created Comparison Datasets between Royal Canin and Blue Buffalo for Real-Time Product Analytics

How we created comparison datasets between Royal Canin and Blue Buffalo, analyzing real-time product data, pricing trends, and inventory insights.

Dec 31, 2025

How We Helped a Retail Brand Boost Bestseller Detection Using Scraped LEGO Product Data

We improved bestseller detection by analyzing demand trends, pricing, and availability Using Scraped LEGO Product Data, enabling faster, data-driven retail decisions.

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.