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Sellin
E-commerce Store with Intelligent Product Crawler

The Challenge
The primary challenge Sellin addresses is the inefficient process of manually populating its e-commerce store with products from various websites. Traditional methods are time-consuming and error-prone, hindering the platform's ability to remain competitive and up-to-date with the latest products. Sellin aims to overcome this obstacle by developing a reliable web crawler capable of accurately extracting product data from diverse websites and seamlessly integrating it into its platform. This involves navigating the diverse nature of product listings, handling dynamic content, and ensuring real-time updates to maintain scalability and sustainability in e-commerce.

Sellin fashion e-commerce UI showcasing stylish clothing categories, hero image with model, and a clean product gallery layouthome-three-dashboardicon
Sellin fashion e-commerce UI showcasing stylish clothing categories, hero image with model, and a clean product gallery layout
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Our Solution

By leveraging Python, we developed a comprehensive solution comprising an e-commerce store and a custom web crawler tailored to extract product information from any website given its URL. This integrated approach significantly reduced the time and effort required for manual data entry, ensuring accuracy and efficiency in populating Sellin's e-commerce store. Additionally, our solution incorporates robust error-handling mechanisms to maintain reliability even when dealing with complex website structures. This comprehensive approach enables Sellin to continuously update its product catalog in real-time, ensuring competitiveness in the market.

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Technologies Details

Python: Python is the foundation for the custom web crawler, enabling efficient product data extraction from diverse websites. Leveraging Python's rich ecosystem of libraries and tools, Sellin's crawler automates the process of gathering product information, ensuring accuracy and efficiency in populating the e-commerce store.
ASP.NET Core: Sellin's core website is developed using ASP.NET Core, a powerful and versatile framework for building secure and scalable web applications. ASP.NET Core provides Sellin the flexibility and performance needed to handle user requests, manage data securely, and deliver a seamless online shopping experience.
Backend Integration: Utilizing REST API to send and receive data between the frontend application and the server.

Project Features

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Automated Product Population

Sellin's custom web crawler automates gathering product information from various websites, allowing for a rapid and accurate population of the e-commerce store's product catalog.

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Efficient Data Extraction

The web crawler efficiently extracts product details such as titles, descriptions, prices, and images from diverse websites, ensuring that product listings are comprehensive and up-to-date.

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Real-time Updates

Sellin's solution continuously updates the product catalog in real-time, ensuring that customers can access the latest offerings from various sources.

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Customizable Settings

Administrators can customize how products are added and displayed on the e-commerce store, allowing for greater flexibility in managing the product catalog.

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Secure Payment Processing

Sellin's e-commerce platform incorporates secure payment processing, providing customers with a safe and reliable way to purchase online.

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Responsive User Interface

The front end of Sellin's e-commerce platform is built using Angular, offering a dynamic and responsive user interface that adapts to different devices and screen sizes.

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Scalability

Sellin's solution is designed to scale with the e-commerce store's growth, ensuring it can handle many products and website sources without sacrificing performance.

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Robust Error Handling

ellin's web crawler incorporates robust error handling mechanisms to maintain reliability even when dealing with complex website structures or unexpected issues.

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Comprehensive Reporting

Sellin provides administrators with extensive reporting tools, allowing them to track sales, analyze customer behavior, and make informed decisions about product offerings and marketing strategies.

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