The client was from the Research & Analytics business and required a highly customized ecommerce product scraper to get e-commerce data feeds in real-time.
E-Commerce Data Feeds To Get Real-Time Pricing
Client Information
Data Research & Analytics Business for Retail and E-Commerce
Challenge for E-Commerce Data
The client was from a Research and 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 specifications and pricing. Previously, the client had an in-house data team that manually collected data from different web resources; however, the results were inadequate compared to the high effort.
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 to fetch essential e-commerce data from any particular source website.
The client wanted to scrape data in the CSV format and upload 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 were delivered to this client during the initial crawling.
X-Byte Real-Time Pricing Solution
- 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.
X-Byte Enterprise Crawling Advantages
- 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.
