How to scrape data from website？

 Crazy Games is an online game website that provides various types of free online games, including 3D shooting games, puzzle games, etc. Introduction to the scraping tool ScrapeStorm is a new generation of Web Scraping Tool based on artificial intelligence technology. It is better suited for users who want to get results quickly. Its biggest advantage is the truly no-code experience: fields can be detected visually, configured directly on the page, and adjusted without writing selectors or scripts. It also provides seamless data delivery, allowing scraped results to be exported directly to Excel, CSV, databases, and other destinations. For large-scale scraping, ScrapeStorm’s local execution model also helps keep costs fixed and predictable, instead of increasing with usage volume or task runtime. Preview of the scraped result Export to Excel: This is the demo task: https://drive.google.com/file/d/1jKV5NZXtwvIA-ea0G_07fc39a7oRVIgH/view?usp=sharing 1. Create a task (1) Copy the URL...

As public web data becomes more important for e-commerce, market research, lead generation, and competitor tracking, businesses are paying closer attention to the tools they use for web scraping. In 2026, the ideal solution is no longer just about extracting data. Companies also want tools that are easy to use, reliable, scalable, and suitable for both technical and non-technical teams. In this article, we look at five widely used web scraping tools in the global market, and explore what makes each one valuable for different use cases. 1. ScrapeStorm ScrapeStorm is a smart visual web scraping tool designed for users who want to collect data efficiently without writing complex code. With its AI-powered element recognition, ScrapeStorm can automatically identify lists, tables, pagination, and detail pages, helping users build scraping tasks much faster. Key features Visual point-and-click interface Smart detection of structured web content Supports pagination, infinite scroll, and detai...

 As e-commerce continues to grow, businesses need better ways to understand the market, monitor competitors, and analyze customer behavior. In this environment, web scraping has become an important tool for collecting public online data. ScrapeStorm , an intelligent visual web scraping tool, helps businesses gather and organize data efficiently for marketing use. The Value of Data in E-Commerce Online shopping has become part of everyday life. Consumers can browse products, compare prices, and shop anytime through websites and mobile devices. As a result, large amounts of valuable public data are generated across e-commerce platforms, brand websites, social media, and review pages. With ScrapeStorm , businesses can collect this data more easily and use it to support smarter marketing decisions. Why Marketing Needs Web Scraping Marketing depends on understanding customer needs, market trends, and competitor activity. Manual research is often slow and incomplete, while web scraping ...

  Technology is changing quickly, and programming languages continue to play an important role in software development, artificial intelligence, web applications, and data analysis. In 2026, some languages stand out because of their popularity, practical value, and strong ecosystems. 1. Python Python remains one of the best programming languages in 2026. It is easy to learn, simple to read, and widely used in artificial intelligence, machine learning, data science, automation, and web development. Its rich libraries and large community make it a strong choice for beginners and professionals. 2. JavaScript JavaScript is still essential for web development. It is used to build interactive websites, web applications, mobile apps, and even server-side systems with Node.js. Because almost every modern website uses JavaScript, it continues to be one of the most valuable languages to learn. 3. Java Java is a stable and mature programming language. It is widely used in enterprise systems, ...

Artificial intelligence (AI) is a technology that enables computer systems to simulate human intelligence and perform tasks such as learning, reasoning, recognition, and decision-making. With the rapid development of AI, Python has become one of the most widely used programming languages in this field because of its simple syntax, ease of learning, rich ecosystem, and high development efficiency. This article introduces the main applications of Python in artificial intelligence from three aspects: machine learning, natural language processing, and computer vision. 1. Machine Learning Machine learning is an important branch of artificial intelligence. It focuses on enabling computers to learn patterns from data and perform tasks such as prediction, classification, and recognition without being explicitly programmed. Python has a rich collection of libraries and frameworks for machine learning. Commonly used libraries include NumPy, pandas, and scikit-learn. NumPy is mainly used for nume...

  Totaljobs is one of the largest recruitment websites in the UK. Its mission is to provide job seekers and employers with efficient recruitment solutions and promote the matching of talents and positions. It has an extensive market presence in the UK, providing a platform for professionals across a variety of industries and job types to find jobs and recruit staff. Introduction to the scraping tool ScrapeStorm is a new generation of Web Scraping Tool based on artificial intelligence technology. It is the first scraper to support both Windows, Mac and Linux operating systems. Preview of the scraped result Export to Excel: 1. Create a task (1) Copy the URL (2) Create a new smart mode task You can create a new scraping task directly on the software, or you can create a task by importing rules. How to create a smart mode task How to import and export scraping task Press enter or click to view image in full size 2. Configure the scraping rules Smart mode automatically detects the fie...

Machine learning continues to shape how businesses analyze data, automate decisions, and build intelligent products. For developers, researchers, and technology leaders, GitHub remains one of the best places to discover practical machine learning projects, study real implementations, and identify tools that can be adapted for production use. From deep learning frameworks to end-to-end application platforms, the open-source ecosystem offers a wide range of machine learning projects that reflect the latest progress in AI. In this article, we highlight five of the most influential and widely recognized machine learning projects on GitHub. These projects stand out because of their technical depth, strong communities, broad adoption, and real-world impact. 1. TensorFlow GitHub: https://github.com/tensorflow/tensorflow TensorFlow is one of the most widely used machine learning frameworks in the world. Developed by Google, it provides a comprehensive ecosystem for building, training, and dep...