A big e-commerce company wanted to recognize the best-sellers for their platform with analysis of Amazon data.
CLIENT’S CHALLENGE
This client wanted to scrape Amazon product data for identifying the bestselling Amazon products and in return come with the future best-sellers for their e-commerce platform.
The client also required the best-selling products from the whole catalog and categories, grouped independently. The necessary data points included the product’s name, description, brand, model, specifications, bestseller’s rank, ratings, and reviews counts.
OUR SOLUTION
X-BYTE SOLUTION
Setting up the Crawler – The crawler was initially configured such that it could automatically scrape product price and essential data fields for present categories on a daily basis.
Data Template : A template was created utilizing data structuring based on the schema provided by the customer.
Delivery of Data : Without any manual input from either side, the closing data was supplied in an XML format through Data API regularly.
The dataset had all the information including comments, news timelines, most viewed articles, customer behaviour, etc. All of the scraped data was indexed using hosted indexing components, and search APIs were made available so that a client could get the results every few minutes.
WEB SCRAPING ADVANTAGES
