How to scrape data from website？

 As a well-known retail mall for cosmeceuticals and maternal and infant products, escentual has attracted a large number of users with its rich product categories, high-quality products and convenient services. Its multiple payment methods and global direct mail services provide users with a more convenient and flexible shopping experience. 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: This is the demo task: Google Drive: https://drive.google.com/file/d/19tso091fTCIpUP_0dIKJVsK7dfEgnnjK/view?usp=sharing OneDrive: https://1drv.ms/u/c/9c4ab62c874aba68/ETnbMT-trv9Jsx1wCtq4eCoBQIkAem8LNh5MaaoLHzu0qA?e=191Eyv 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 r...

 In today's digital age, data is the cornerstone of decision-making, and web data collection is a crucial way to acquire massive amounts of key information. As a data analyst, I deeply understand the importance of efficient and accurate data collection for subsequent analysis. Among numerous data collection tools, ScrapeStorm, with its unique advantages, has become a powerful partner in my work. Previously, web data collection often gave me a headache. Faced with complex web page structures, I needed to write tedious code to locate and extract the required data, which not only consumed a lot of time and energy but also required a high level of technical skills. For dynamically loaded web page content, the difficulty of collection was further increased. However, the emergence of ScrapeStorm has completely changed this situation. It possesses powerful intelligent recognition capabilities, acting like an experienced "data hunter," automatically analyzing the web page structu...

 Data is becoming increasingly important, but many people don't know how to quickly extract the information they need from web pages. ScrapeStorm, a web crawler developed by the former Google web crawling team, is easy to use and solves this problem. ScrapeStorm's greatest advantage is its code-free, fully visual interface. Whether you're a programmer or not, you can quickly learn to use it. In smart mode, its AI automatically recognizes lists, tables, and paginated data on web pages. You simply enter the web address to start collecting data. Even for complex web pages, it can simulate human browsing through simple clicks, such as logging in, scrolling, and clicking buttons—all without writing a single line of code. Its AI recognition capabilities are also impressive, which is its core advantage. Previous web crawlers relied on fixed rules to extract data, becoming unusable if the web page structure changed. However, ScrapeStorm's AI understands the web page structure, ...

 In the digital age, web data extraction has become a core need in market research, e-commerce operations, academic research and other fields. Efficient extraction tools can greatly reduce labor costs and improve the accuracy and efficiency of data acquisition. As two well-recognized data extraction tools in the industry, ScrapeStorm and Mozenda both provide solutions for users with different needs through mature technology and rich functions. Although similar in positioning, they have their own characteristics in function focus and application scenarios. The following objectively analyzes the core advantages and applicable scenarios of the two tools to help users make reasonable choices based on their own needs, without any derogatory comparisons, only focusing on the value of the tools themselves. Developed by the former Google crawler team and launched in 2021, ScrapeStorm is an intelligent web data extraction tool driven by AI technology. It focuses on "no-code operation, inte...

 As an AI-driven visual web crawler tool with user-friendly operation interfaces, ScrapeStorm can provide efficient and stable data collection support for e-commerce practitioners without the need for professional coding skills or technical background. It not only simplifies tedious operational processes and reduces manual workload, but also assists e-commerce operators in making more scientific and rational business decisions based on accurate data, making it a highly practical and cost-effective tool in daily e-commerce work. In e-commerce operations, where data-driven decisions are crucial, ScrapeStorm can quickly and comprehensively crawl key product data from major e-commerce platforms such as Amazon, eBay, and Alibaba, including detailed information like product prices, real-time sales volume, customer reviews, specifications, and inventory status. This powerful function helps merchants grasp competitors' dynamic changes in real time, such as their pricing adjustments, promot...