Discover the hidden costs of in-house web scraping
Data Crawling – Evolution and Its Uses
The first web crawler was made by Brian Pinkerton from the University of Washington. It was created and launched on 24th April 1994. The crawler was first designed to extract data from different websites and relay that data back into a search engine. It was also designed to visit and learn about new applications and […]
Read MoreReal Estate Web Data and It’s Uses
Real Estate Web Data has always been a blend of intuition and common sense. Both buyers and investors are always on the lookout for the best property off which to make the most profit. But being slow in your approach would mean losing out to your competitors, which is where web scraping real estate data […]
Read MoreCritical Components of a Robust Web Scraping Infrastructure
Building a powerful and scalable web scraping infrastructure requires a sophisticated system and meticulous planning. First, you need to get a team of experienced developers, then you need to set up the infrastructure. Finally, you need a rigorous round of testing before you are good to start data extraction. However one of the most difficult […]
Read MoreCustomer is Never the King
This isn’t going to be another customer vs employee topic. That is a completely different discussion that merits its own page! In fact, in this article, I’m not even going to be talking about employees. It will be a customer-centric article that outline why your customer should never be treated like a king! At PromptCloud, […]
Read MorePromptcloud’s List of The best Data Mining Tools
Web Data Mining Web Mining is the process of extracting data points from web pages to transform them into valuable information using data analysis and visualization tools. The main usage of data mining is extracting raw data from the internet along with web usage patterns via web scraping. In this blog, we will discuss the […]
Read MoreAnalyzing Vero Moda Fashion Product Data
The fashion industry is rapidly evolving and increasingly relying on data to better align itself with consumer preferences, analyze competitors, and improve product strategy. Many boutique agencies are already working on fashion data analysis to cater to the growing demand for data-driven decision making by fashion brands and marketplaces. This post presents the visualizations created […]
Read MoreThe Definitive Guide to Data Labeling for Machine Learning
Data for most machine learning projects are collected through multiple sources such as data scraping, getting people to fill survey forms, etc. Usually, a high percentage of this data is unlabelled or mislabelled. By unlabelled data, here we are referring to data which has not been tagged with labels specifying their characteristics, classification or properties. […]
Read MoreIntroducing PromptPoints: Get Rewarded for Acquiring Web Data
Get Rewarded for Web Data Extraction Extracting web data pays for itself and anyone who’s ever gathered the goldmine of information that’s scattered around the web for augmenting their big data strategy needs no further explanation for this statement. Our growing client base is one of the best indicators for the increasing popularity of web […]
Read MorehiQ vs. LinkedIn: Legalities of Web Data Scraping
Stairway to heaven, If you’re in the business of web scraping, that is. It is legal to scrape publicly available data. There is a massive amount of data available in the public domain of the web. However, when it comes to the utilization of the same, little has been done to date. But today, service companies […]
Read MoreChanging Scope of Web Scraping and PromptCloud’s Role in the Evolution
Web crawling has been there since the time search engines were developed as a means to index the web pages and make them searchable. Apart from that, hobbyists, individuals with professional requirements and companies have always been in need of web data in a structured format for various use cases. However, the majority of the […]
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