The client was from Research & Analytics business and required a highly customized data scraper to get e-commerce data feeds in real-time.


Client Information

Data Research & Analytics Business for Retail and E-Commerce

Challenge for E-Commerce Data

The client was from Research & Analytics business and was looking for constant, quality, and precise e-commerce data to empower their analytics & research.

They required easy access to complete product list data from particular categories, with product specifications and pricing. Previously, the client had an in-house data team, which manually collected data from different web resources; however, the results were inadequate compared to high efforts.

The customer provided us with a list of resources to be scraped, required data points, and data extraction frequency for everyday jobs.

The team X-Byte has set crawlers for fetching the essential e-commerce data from any particular source website.

The client wanted scraped data in the CSV format and uploaded it to the S3 servers. The early setup was complete within a few days, and the crawlers began delivering the necessary data instantly.

Around 200K records got delivered to this client during the initial crawling



  • Set up the Crawler: : Initially, the crawler was set might scrape product pricing and necessary data fields for predefined categories in an automated style daily.
  • Data Template: : Depending on the schema given by the customer, a template was made using data structuring that would happen.
  • Delivery of Data: The concluding data was delivered within an XML format through Data API on a daily basis without manual involvement from either side.

Every record inside the dataset had all the information, i.e., product’s name, price, availability, long and short descriptions, image URLs, dimensions, category, SKU, brand, resource, and source URLs from where that was fetched.


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.


  • Any alterations within the resource websites were managed, and clients were distracted from such problems.
  • Any variations in the plan were completed as demanded
  • Lower data turnaround time has improved the capability of market client’s capabilities and services
  • Other categories might be added according to changing requirements
  • Productivity improved as the data team might work on some other projects. The client extended into other business verticals.
  • Data quality had increased distressingly without any time investments from our team.
  • Value-adding from this project was around 50 times the spending.