Why Retailers Need Web Data for a Solid PIM System
With significant adoption of big data, omni-channel retail and changing consumer dynamics, implementation of a robust organizational and data management system has become paramount for the large retailers. When retail business continues to grow rapidly, the complexity of tracking product data grows many folds. PIM systems come into play in these scenario to help retailers in […]
Read MoreHow Hedge Funds Can Use Web Scraping
Web scraping or data extraction is the need of the hour to make sense of the huge and varied data being generated across multiple sources on the web. Irrespective of the sector you are working in, data extraction and mining is a crucial necessity to glean insights into consumer behavior, market forces, competitive intelligence, and […]
Read MoreNordstrom selling fake mud jeans – Yay or Nay?
Fancy being a heavy worker, but don’t like getting your hands dirty? Nordstrom’s Barracuda Straight Leg Jeans is just the thing you need. This ‘unique piece of fashion’ will make you look like someone straight from the construction area, but only if you don’t mind spending $425 on a pair of muddied jeans. Yes! You […]
Read MoreThe Ultimate Guide to Web Data Extraction
Web data extraction (also known as web scraping, web harvesting, screen scraping, etc.) is a technique for extracting vast amounts of data from websites on the internet. The data available on websites is not available to download easily and can only be accessed by using a web browser. However, the web is the largest repository […]
Read MoreDigging Deep into Product Catalogs of Leading Fashion Retailers
The fashion industry has been dynamic since the very beginning. Now, with the advent of the digital age and the connectivity offered by the internet, any new fashion trend that starts in a tiny corner of the world gets noticed and picked up by fashionistas around the globe. To gather more insights from the world […]
Read MoreApplications of Web Data Extraction in Ecommerce
We all know the importance of data generated by an organisation and its application in improvement of product strategy, customer retention, marketing, business development and more. With the advent of digital age and increase in storage capacity, we have come to a point where the internal data generated by an organisation has become synonymous with Big […]
Read MoreLessons Learned from 6 Years of Crawling the Web
When the digital age started flourishing and companies turned towards the web for their big data needs, there were countless obstacles ahead of them. Extracting data from the web came with complicated issues, and it was simply not easy for enterprises to tackle them all without losing focus on their core businesses. PromptCloud was founded […]
Read MoreWeb Crawling Use Cases from the Automobile Industry
The automobile industry is currently gearing up with the widespread adoption of big data-backed business strategies. Although the developments in automobile technology were much slower in the last decade, newer technological advancements like IoT, driver-less cars, and big data have tremendously helped kickstart a disruptive phase for the industry. Companies now get deeper insights on […]
Read MoreYouScan Platform for all your Social Media Monitoring Activities
Social media monitoring is about searching the web and social listening to uncover what the audience is saying about your brand, your competitors on which medium and channel. The intelligence gathered from these channels will be used to create engagement and find insights to improve content marketing, customer service, product strategy, human resources, sales and […]
Read MoreHow We Maintain Data Quality While Handling Large Scale Extraction
How to maintain data quality, The demand for high-quality data is increasing along with the rise in products and services that require data to run. Although the information available on the web is increasing in terms of quantity and quality, extracting it in a clean, usable format remains challenging to most businesses. Having been in […]
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