Data Parsing for Companies: From Free Tools to Building Your Own Database

In the world of modern technologies, data collection and analysis play a key role in business development and making informed strategic decisions. In the constantly changing economic environment and competitive landscape, companies are forced to react promptly to new trends and market demands. Therefore, data collection and analysis become a necessity rather than just an auxiliary tool.

Assessment of the Web Scraping Market and Forecasts for Its Development

We examine the latest statistical data and expert evaluations to provide readers with a detailed view of the market and its potential. The article also presents forecasts for the near future, including expected technological innovations and their impact on the market.

How to Match Part Numbers with Images: Leveraging Google Search and Image Comparison in Node.js

In the realm of manufacturing, retail, and numerous other industries, accurately matching part numbers with corresponding images is crucial for inventory management, quality control, and customer satisfaction. With the advent of modern programming techniques and tools, this process can be significantly automated and streamlined.

Boosting ML skills - what you need to know in 2024.

Business demands technologies capable of processing large volumes of data, providing relevant recommendations, assessing the financial reliability of clients, and ensuring efficient information search. Machine learning plays a key role in automating routine tasks and developing data-driven business solutions.

Automation with TensorFlow.js and Puppeteer: Discover an Easy Path to Object Detection on Websites.

The ability to use Puppeteer to automate Google Chrome makes it an excellent tool for web crawling. In this article, we share how we combined a Puppeteer-powered web crawler with some machine learning methods to scan a pet shelter's website and extract dog photos.

Navigating the Web Scraping Landscape: Tools, Techniques, and Trade-offs

In the era of big data, obtaining relevant information from the vast expanse of the internet has become a crucial task for businesses, researchers, and enthusiasts alike. Web scraping, the automated extraction of data from websites, has emerged as a powerful tool in this endeavor. However, choosing the right web scraping tool can be a daunting task, given the plethora of options available. In this article, we'll explore the insights shared in a Reddit thread from the r/webscraping community, shedding light on various tools, techniques, and considerations for effective web scraping.

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