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    Amazon Product Data Scraping: Identify Best Selling Amazon Products

    identify-best-selling-amazon-products

    Summary

    Refer to this case study that shows our delivery of Amazon product data scraping with 100% accuracy and as per the client's requirement. Here in this case study you will go through the challenges that we faced while delivering the work to the client.

    Client’s Challenge

    The client’s requirement was to scrape the Amazon’s best-selling products with possible best-sellers for their e-commerce website.

    The client required a list of bestselling products from the whole collection, and also categories sorted separately. Product details, descriptions, review count, ratings, brand model are all the necessary data points.

    The Solution: Amazon Product Scraping

    Client Requirements: We were having a list of the data fields that the client wanted to extract data from Amazon. Latest data sets were required from Amazon every week.

    Amazon Product Scraping Installation: The team at iWeb Scraping will set up crawlers using programming languages, to fetch the necessary data fields. This case study covers our crawling service that offers the Amazon product crawler to scrape the data from a specific website.

    Data Delivery: With years of experience in Amazon web data scraping service, we delivered clean data to the client in a short period once the setup was completed. The customer chooses XML language for data delivery. The data was instantly delivered to the client’s S3 address.

    Web Crawling Benefits

    Our team handled every technical challenge of the crawl and scraping very carefully.

    The setup took only a few days, and then data was delivered at a given time.

    The customer had most of Amazon's bestselling products organized by category and prepared to import into their applications. Every week, our powerful tech stack processed thousands of records with ease.

    Monitoring was performed for the source website if any changes were required for our crawlers.

    Conclusion

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