Brand Protection

Scraper for Online Brand Protection in E-commerce Industry

Track MAP violations and counterfeits for online brand protection using our scraper. Detect which seller is selling fake products in the market, violating MAP policies, and maintaining your eCommerce brand's online hygiene. Our scraper for online brand protection for MAP violation tracking and counterfeit detection is available worldwide in Australia, Canada, USA, UK, UAE, India, France, Singapore, Ireland, Germany, etc.

Your brand is your identity. When you list across retailers, monitoring your brand performance and enforcing MAP across the channels are tricky. Fraudulent products, too, have become a significant threat when protecting your brand image and identity. In such an instance, counterfeit detection is a must. This requires accessing data insights to track any MAP violations, counterfeit products, or unlicensed vendors across the channels.

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.

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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.

Maintain your brand’s online hygiene with us

  • Respond quickly if any timely alerts and notifications on price violations
  • Prove the merchant’s unfavorable activities with dated archives of product pages.
  • Get support from our dedicated team of experts with customized analyses.

Product pricing similarity, as around 30% of the products are priced under MAP.
Solve this today!

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

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

Data Efficiency

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

Market-Adaptation

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

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

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

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

clutch

92% of employees believe this is an excellent workplace.

crunchbase
Awards

Top Web Scraping Company USA

datarade
Awards

Top Data Scraping Company USA

goodfirms
Awards

Best Enterprise-Grade Web Company

sourcefroge
Awards

Leading Data Extraction Company

truefirms
Awards

Top Big Data Consulting Company

trustpilot
Awards

Best Company with Great Price!

webguru
Awards

Best Web Scraping Company

Process

How We Scrape E-Commerce Data?

Identify-Target-Websites
01

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
02

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
03

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
04

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
05

Analyze Extracted Data

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

Insights

Explore our insights related blogs to uncover industry trends, best practices, and strategies

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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.

Let’s talk about your requirements

Let’s discuss your requirements in detail to ensure we meet your needs effectively and efficiently.

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