The client approached us seeking a reliable solution to monitor competitor pricing, product availability, and catalog updates on leading e-commerce platforms. By leveraging Amazon and Namshi product data extraction, we enabled them to gather detailed product information including prices, images, descriptions, and stock levels efficiently.
Our team implemented Amazon product attribute scraping techniques to systematically collect high-quality data, ensuring that product attributes were captured accurately for competitive analysis and inventory planning. Using Amazon product attributes API, we streamlined data access and integrated it into the client’s internal dashboards for real-time insights.
To further enhance their market intelligence, we conducted Amazon vs Namshi product variant data scraping, allowing the client to compare variants, pricing trends, and promotional strategies across platforms. This comprehensive data enabled smarter decision-making in pricing strategies, catalog updates, and marketing campaigns, helping the client maintain a competitive edge. The project’s outcome was an optimized workflow for ongoing product data monitoring and actionable business intelligence.
A Well-known Market Player in the E-comemrce Industry
iWeb Data Scraping Offerings: Leverage our data crawling services for Amazon & Namshi product description extraction.
The client faced significant challenges in managing and analyzing their product catalog across multiple e-commerce platforms. Accurate SKU-level product data extraction From Namshi & Amazon was difficult due to frequent website updates, inconsistent data formats, and varying product structures.
Capturing detailed product specifications through Amazon ASIN-level attribute extraction posed additional hurdles, as attributes like size, weight, and technical details were often incomplete or scattered across multiple pages.
Managing variant information for numerous products was another challenge, requiring Product size, color & style variant scraping From Amazon & Namshi to track all options reliably.
Furthermore, extracting qualitative details like fabric composition and care instructions required precise handling, as data presentation varied by product category, making Namshi material, fabric & care instruction scraping complex and time-consuming.
These challenges collectively slowed decision-making, hindered competitive pricing analysis, and created difficulties in maintaining an up-to-date and comprehensive product database across platforms.
To address the client’s challenges, our team implemented a robust solution for systematic product data collection. Using Amzon Product Data Scraping API, we automated the extraction of product details, including price, images, descriptions, and stock availability, reducing manual effort and errors.
We compiled comprehensive Amazon Product Datasets that allowed the client to track competitive pricing, product variants, and trends across categories efficiently.
For Namshi, we deployed Namshi product data extraction techniques to capture SKUs, material details, sizes, colors, and care instructions accurately.
Additionally, leveraging Namshi Product Data Scraping API, we ensured real-time updates, enabling dynamic catalog management and quick response to market changes.
| Platform | Product Name | Price | Color | Size | Material | Availability |
|---|---|---|---|---|---|---|
| Amazon | Casual Shirt | $45 | Blue | M | Cotton | In Stock |
| Amazon | Sports Sneakers | $120 | White | 10 | Synthetic | In Stock |
| Amazon | Leather Wallet | $35 | Brown | One Size | Leather | Out of Stock |
| Amazon | Smartwatch Series 5 | $250 | Black | One Size | Metal | In Stock |
| Namshi | Summer Dress | $60 | Red | S | Linen | Out of Stock |
| Namshi | Evening Gown | $150 | Green | M | Silk | In Stock |
| Namshi | Running Shorts | $40 | Gray | L | Polyester | In Stock |
| Namshi | Handbag Classic | $85 | Beige | One Size | Leather | Out of Stock |
This table now reflects a wider range of product types, variants, and availability across both Amazon and Namshi, making it more useful for competitive analysis.
The final outcome of the project delivered significant value to the client, providing a comprehensive view of their competitive landscape. By implementing automated processes to Extract Namshi Datasets, the client gained accurate insights into product variants, pricing trends, and inventory status across multiple categories.
Our solution also generated extensive E-Commerce Product Datasets, enabling the client to analyze market trends, identify gaps, and optimize catalog and pricing strategies effectively.
With the integration of E-commerce Data Scraping API, real-time data updates became possible, ensuring the client could respond swiftly to competitor actions and market fluctuations.
Overall, the client experienced improved decision-making, operational efficiency, and market responsiveness, achieving a competitive edge in a dynamic e-commerce environment.
"Working with the team has been a game-changer for our e-commerce analytics. Their expertise in extracting accurate product information across platforms has provided us with actionable insights that were previously time-consuming to gather. The dashboards they helped us implement now allow real-time tracking of pricing, availability, and product variants, enabling smarter inventory and marketing decisions. Their professionalism, responsiveness, and attention to detail have exceeded our expectations. Thanks to their support, we have significantly improved our competitive intelligence and operational efficiency. I highly recommend their services to any business seeking reliable data solutions."
— Head of E-Commerce Strategy
Our automated systems ensure near real-time extraction, enabling clients to receive updated product details, pricing, and availability without delays.
Yes, our services capture all variants, including size, color, style, and material, providing comprehensive insights for every product.
Absolutely. Extracted data is delivered in clean, structured formats suitable for dashboards, analytics tools, or internal systems.
We monitor platforms continuously and adapt our scraping methods to ensure uninterrupted data accuracy and reliability.
Yes, clients can track competitor pricing trends and inventory in real time to make informed pricing and marketing decisions.
We start by signing a Non-Disclosure Agreement (NDA) to protect your ideas.
Our team will analyze your needs to understand what you want.
You'll get a clear and detailed project outline showing how we'll work together.
We'll take care of the project, allowing you to focus on growing your business.