Whatever your project size is, we will handle it well with all the standards fulfilled! We are here to give 100% satisfaction.
For job seekers, please visit our Career Page or send your resume to hr@actowizsolutions.com
In today’s e-commerce landscape, managing unauthorized sellers is a major challenge for brands. These sellers can disrupt pricing strategies, tarnish brand reputation, and violate authorized agreements. With the rise of platforms like Amazon, Flipkart, and JioMart, tracking unauthorized sellers has become increasingly complex. This blog explores how businesses can extract unauthorized seller data using web scraping, data extraction services, and APIs. We’ll delve into the latest stats, comparison data, and case studies from 2024.
Learn how to scrape sellers data from Amazon, gather Flipkart datasets, Amazon datasets, and detect unauthorized sellers on online. Businesses can collect unauthorized seller data to maintain brand integrity and protect pricing strategies by leveraging data extraction services. Discover effective methods for combating unauthorized sellers and safeguarding your brand in the evolving e-commerce marketplace.
Unauthorized sellers can cause significant disruptions:
Price undercutting: They often sell products below the minimum advertised price (MAP), damaging brand equity.
Counterfeits: These sellers may deal in counterfeit goods, leading to customer dissatisfaction and reputational harm.
Warranty and authenticity issues: Customers who purchase from unauthorized sellers may not receive proper warranties, which can cause service challenges for brands.
To counter these challenges, businesses need efficient methods to monitor and extract seller data across platforms.
Amazon has become a dominant player in global e-commerce, making it essential to track unauthorized sellers effectively. Amazon's vast marketplace structure enables thousands of sellers to list products, making it difficult for brands to monitor compliance manually.
Web scraping is a powerful technique for tracking and extracting seller data. Amazon scraping tools allow businesses to automate the collection of relevant seller information from product listings, reviews, and seller pages.
Key elements extracted through scraping include:
In 2024, Amazon reported over 2.5 million active sellers worldwide, with 200,000 new sellers joining the platform yearly. Extracting unauthorized seller data is vital as new sellers emerge across different categories. The average number of unauthorized sellers for top brands grew by 15% compared to 2023, highlighting the need for proactive monitoring.
An electronics brand successfully used Amazon data extraction services to monitor unauthorized resellers. By scraping Amazon product listings across multiple categories, the brand identified unauthorized sellers offering their products at below-MAP prices. This data enabled them to report these sellers and remove unauthorized listings, maintaining price consistency.
Flipkart, India’s leading e-commerce platform, faces the challenge of unauthorized sellers. Like Amazon, Flipkart has an extensive network of sellers, making it difficult for brands to track unauthorized activities manually.
Businesses can use Flipkart data scraping tools to extract key seller information and cross-reference it with their authorized seller lists. This helps detect unauthorized resellers offering counterfeit or unauthorized goods.
What can be scraped from Flipkart:
In 2024, Flipkart hosted over 500,000 sellers on its platform, making it crucial for brands to track unauthorized seller activities. With a 20% increase in third-party seller activities, brands must implement robust scraping and monitoring strategies to stay ahead.
A fashion brand implemented Flipkart unauthorized seller data scraping to detect counterfeit listings of their high-end handbags. They were able to identify multiple unauthorized sellers offering fake products. With this data, they successfully lodged complaints and removed over 150 listings within a month.
JioMart, though a relatively new player in India’s e-commerce space, has quickly gained traction, especially in the grocery and FMCG sectors. With its rapid growth, brands are looking to track unauthorized sellers on JioMart to protect their brand image and pricing policies.
Web scraping tools are effective for businesses looking to extract seller data from JioMart. These tools can automatically collect detailed seller data, which can be further analyzed to detect unauthorized listings.
What to collect from JioMart:
By 2024, JioMart had registered over 100,000 sellers, marking a 25% growth from the previous year. With JioMart expanding its categories beyond groceries into electronics and fashion, unauthorized seller tracking has become more complex. Brands need data extraction techniques to monitor and maintain compliance.
A consumer goods company used JioMart data scraping to monitor unauthorized resellers selling expired products under their brand name. The company could track down and report 30 unauthorized sellers within the first quarter of 2024 by extracting detailed seller and product data.
Web scraping tools are adequate for real-time data extraction from Amazon, Flipkart, and JioMart. These tools allow businesses to automate the collection of critical seller data, enabling large-scale monitoring.
APIs can also fetch seller data. Amazon’s Product Advertising API and Flipkart Affiliate API allow businesses to gather structured seller information in real time. Although these APIs come with restrictions, they provide reliable data for monitoring purposes.
Businesses may also opt for third-party e-commerce data scraping services like Actowiz Solutions, which provides tailored solutions for scraping and analyzing unauthorized seller data.
While extracting seller data is essential, it’s equally important to ensure that scraping practices comply with platform policies. Unauthorized data scraping can lead to legal issues, including lawsuits or IP infringements.
Best practices for compliance:
To extract unauthorized seller data from Amazon , Flipkart, and JioMart is a crucial step in protecting brand integrity and maintaining pricing consistency. Businesses can effectively monitor and manage unauthorized resellers through web scraping, API integration, or third- party data scraping services.
By implementing these strategies, brands can safeguard their products, pricing, and reputation in the highly competitive e-commerce market.
Actowiz Solutions offers expert e-commerce data scraping services tailored to help you monitor unauthorized sellers across platforms like Amazon, Flipkart, and JioMart. Contact Actowiz Solutions today to protect your brand with effective seller monitoring and data extraction solutions. You can also reach us for all your mobile app scraping, data collection, web scraping, and instant data scraper service requirements.
Web Scraping Product Details from Emag.ro helps e-commerce businesses collect competitor data, optimize pricing strategies, and improve product listings.
Discover how to leverage Google Maps for Store Expansion to identify high-traffic areas, analyze demographics, and find prime retail locations.
This report explores women's fashion trends and pricing strategies in luxury clothing by analyzing data extracted from Gucci's website.
This report explores mastering web scraping Zomato datasets to generate insightful visualizations and perform in-depth analysis for data-driven decisions.
Explore how data scraping optimizes ferry schedules and cruise prices, providing actionable insights for businesses to enhance offerings and pricing strategies.
This case study explores Doordash and Ubereats Restaurant Data Collection in Puerto Rico, analyzing delivery patterns, customer preferences, and market trends.
This infographic highlights the benefits of outsourcing web scraping, including cost savings, efficiency, scalability, and access to expertise.
This infographic compares web crawling, web scraping, and data extraction, explaining their differences, use cases, and key benefits.