Scraped Product Reviews & Prices Data For Housing Furniture Manufacturer

Today, all the businesses are facing cut-throat competition and the Housing furniture business is not an exception. This case study shows how 3i Data Scraping has helped a top housing furniture manufacturer in Europe in scraping product reviews & prices data.

Our achievements in the field of business digital transformation.

Client’s Background

One of the top housing furniture manufacturers in Europe has contacted 3i Data Scraping for extracting product prices as well as reviews across different customer websites.

Data Requirement

As a popular furniture manufacturer, our customer sells most products online through different e-commerce retailers. As their products are getting sold across various websites, it has become authoritative that they trail how different customer websites are pricing products, together with the alternatives of customers or users.

Proposed Solution: Extracting Product Reviews and Prices

Amongst the biggest problems was that the client didn’t get any URLs of the products on different e-commerce portals and had only SKU IDs and product names.

After asking for some sample Product Names and SKU IDs, our team recognized that it might be possible to hunt for precise products through using site-wise SKU IDs that in most cases provided the required results.

As the client needed control on the input data, we have programmed the scraper to extract product prices as well as read data from shared locations (Google Sheets). When the product pages got identified, scraping both product-associated data and review data was comparatively easy, although a few of those websites had some blocking methods in place.

Application Timeline

Once the crawl specifications got finalized, we began setting up our crawler and were delivering data immediately. For 20 websites that is equal to 40 website setups (20 for reviews and 20 for products), we had the whole setup, running, and up in around 7 working days.

Data Consumption

Once a particular day’s crawling gets completed, data become merged in one file for every website as well as is pushed for client’s FTP folders where they import data in the internal systems that automatically tracks price discrepancies across multiple vendors.

The client had also produced sentiment analysis systems for measuring how users are observing products from reviews getting collected. They find that useful in knowing what works for them as well as what requires to get changed.

Project Completion

Using our website crawling services, the client has ensured that there are no manual layers associated with the data acquisition procedure, thereby saving countless man-hours, human resource cost, server cost, as well as maintenance of a crawler had that been produced in-house.

All they need to do was consume data, which we had delivered according to their specifications.