How to scrape data from website？

 Fifteen years ago, extracting data from the web meant writing Python scripts, debugging XPath, handling anti-scraping mechanisms — a task that took an entire day. Today, open ScrapeStorm, enter a URL, click a few times, and the data is automatically exported to Excel in under five minutes. The craft of data extraction has undergone a quiet revolution in just two decades. Four Stages Phase One: The Age of Code Heroes. Scraping was a skill reserved for programmers. Mastery of programming languages, scraping frameworks, HTML, and regular expressions was required. The barrier was extremely high; ordinary users had to rely on technical teams or resort to manual copy-pasting. Phase Two: The Age of Client Tools. Visual point-and-click tools emerged, allowing users to scrape without writing code. However, these were essentially “rule generators” — you clicked on elements, and the tool generated XPath rules. When websites changed, the rules broke, requiring reconfiguration. Phase Three: Th...

  1. Learning Curve ScrapeStorm: Nearly zero barrier to entry. As long as you can understand webpage structures, just drag, drop, and click — you’re up and running in ten minutes. No need to know Python, no need to wrestle with XPath syntax. Scrapy (Python): A steep learning curve. You need to understand Python syntax, selectors, asynchronous programming, middleware, and more. For a complete beginner, writing a usable crawler from scratch takes at least a day or two. 2. Development Efficiency ScrapeStorm: What you see is what you get. Click to select data on the page, connect the dots on the flow canvas. Smart recognition of lists, pagination, and infinite scrolling. Prototypes in minutes, finished products in hours. Scrapy: From writing items and spiders, configuring settings, debugging selectors, handling anti-scraping measures, to setting up pipelines — the full process takes half a day to a full day even for experienced developers. 3. Maintenance Difficulty ScrapeStorm: Website...

  ScrapeStorm and AI: Smarter Web Data Extraction In the data-driven business era, web data extraction has become a critical component of market research, competitive analysis, and academic studies. Traditional scraping tools often require programming skills, but AI-powered tools like ScrapeStorm are changing this landscape, making data acquisition smarter and more accessible. ScrapeStorm is an AI-powered visual web data extraction tool. Its core strength lies in using artificial intelligence algorithms to automatically identify web content — users simply enter a URL to start scraping, with no coding required. It offers two operation modes: Smart Mode and Flowchart Mode, catering to users with different technical backgrounds. The Core Value of AI-Powered Recognition ScrapeStorm’s AI capability is primarily reflected in its automatic identification of web page elements. When a user inputs a target URL, the AI algorithm automatically detects data types such as lists, tables, paginati...

 In the field of no-code web data extraction, ScrapeStorm and ParseHub are two tools frequently mentioned together. Both enable users to extract information from web pages without writing code, but their features and focuses differ. ScrapeStorm’s core strength lies in its AI-driven automation capabilities. Its “Smart Mode” allows users to simply enter a URL, and the AI automatically identifies and extracts list data, significantly streamlining workflows. It also comes with built-in proxy IP and CAPTCHA handling features, making it suitable for tasks that need to bypass anti-scraping mechanisms. In terms of pricing, ScrapeStorm offers a more competitive entry-level price, starting at $49.99 per month. ParseHub, on the other hand, is known for its precision and robustness, especially when dealing with structurally complex websites. It guides users to build extraction rules by clicking to select desired elements, offering a relatively gentle learning curve while enabling highly accura...

 G2A is a global digital trading platform that provides a wide range of digital products and physical commodity trading services, with a rich variety of commodities and a broad customer base. 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: https://drive.google.com/file/d/1D1z5cHMVLLaSoZTgoE5ftv7ZSWM4F9CB/view?usp=sharing 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 2. Configure the scraping rules Smart mode automatically detects the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on. How to...

  From Collection to Application: Understanding ScrapeStorm’s Data Export Capabilities The ultimate goal of data collection is not acquisition, but application. Whether you’re importing data into Excel for analysis, storing it in a database to build applications, or syncing it to the cloud for team collaboration, the data export process determines whether your scraped results can truly deliver value. Beyond its intelligent scraping capabilities, ScrapeStorm has built a comprehensive data export system that covers multiple scenarios, enabling users to not only “collect” but also “utilize” with ease. Multi-Format File Exports for Basic Analytical Needs ScrapeStorm supports exporting scraped results in four common formats: Excel, CSV, TXT, and HTML. Among these, Excel and CSV are the most widely used formats for data analysis, seamlessly integrating with tools such as Microsoft Excel, Google Sheets, or RStudio for further processing. The export settings also demonstrate remarkable fle...

  APOC Store is a London-based curated marketplace and incubator founded in 2020 that connects global audiences with a new generation of radical, independent designers and artists. Embracing non-traditional retail, the platform bypasses mass production to specialize in one-of-a-kind, made-to-order, and upcycled creations that masterfully blur the boundaries between wearable avant-garde fashion and contemporary art. 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 2. Configure the scraping rules Smart mode automatically detects the ...

 In the age of information explosion, data is often hailed as the “new oil.” However, like crude oil in its raw state, this “oil” is typically contaminated with impurities — messy formats, duplicate content, and incomplete information. Acquiring raw data is only the first step; the real value lies in subsequent refinement and purification. This is precisely where the synergy between the intelligent scraping tool ScrapeStorm and data cleaning techniques comes into play. As an AI-driven visual web scraping tool, ScrapeStorm significantly lowers the barrier to data acquisition. Users simply input a URL, and its artificial intelligence algorithm automatically identifies web page content and pagination logic, eliminating the need for programming or complex click-based configurations. It can extract structured information such as text, images, and contact details from web pages with ease. Beyond exporting data in common formats like Excel and CSV, it also offers features such as IP rotat...

Market monitoring is essentially a continuous process of tracking specific data streams to stay on top of market movements in real time. For businesses, this means keeping an eye on competitor pricing, promotions, product launches, and inventory changes — information that directly impacts pricing strategy and market share. Tools like ScrapeStorm, an AI-powered web scraping platform, often serve as the entry point for companies venturing into this space. 1. Core Market Monitoring Scenarios ScrapeStorm’s documentation highlights “Vertical Crawling” — targeted data extraction for specific industries or domains — as one of its key capabilities. Typical use cases include e-commerce price tracking, job market analysis, and real estate trend monitoring. In the context of market monitoring, the most common applications fall into several categories: Competitor price tracking: Scraping competitor pricing, discounts, and shipping costs to help e-commerce businesses adjust their own pricing dynami...

 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...

  ScrapeStorm is an AI-powered, visual web data scraping tool that lets you extract information from websites without writing a single line of code . In plain terms, even if you don't know how to program, you can use it to batch-collect data from web pages—things like product prices, customer reviews, contact information, and more. Unsorted Why Is It So Popular? ScrapeStorm offers two core operating modes to suit users at different skill levels: 1. Smart Mode – This is designed for beginners. The software uses AI to automatically identify data on web pages—such as product names, prices, and images. You just click a few times to tell it what you want, and it extracts the data for you. 2. Flowchart Mode – This is for users with some experience or those who need customized scraping. It works like building blocks: you drag and drop components to design a scraping workflow. For example, you can set up a process like "enter search keywords → click into product pages → extract dat...

  Data cleaning is one of the most time-consuming parts of data analysis and machine learning. Studies suggest that data analysts spend roughly 60% of their time dealing with messy, inconsistent data — and the right tool can cut that effort by 30% to 50%. If you’re exploring foreign tools for data preparation, these five established options span a wide range of use cases, from open-source desktop applications to enterprise-grade cloud platforms. 1. OpenRefine: The Classic Open-Source Desktop Cleaner OpenRefine, formerly known as Google Refine, is a free, open-source desktop application that has earned a loyal following among researchers and anyone who needs fine-grained control over smaller datasets. Its standout feature is powerful text clustering and transformation. When your data contains inconsistent country names like “USA,” “U.S.A.,” and “us,” OpenRefine can automatically group these variants using fingerprint algorithms or n-gram methods, allowing you to standardize them wit...

 Boscov’s is a well-known American family department store chain. Collecting Boscov’s data plays an important role in business decision-making, market research, consumer behavior analysis, product improvement and competitive strategy formulation. 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 2. Configure the scraping rules Smart mode automatically detects the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on. How to set the fields 3. Set up and start the scraping ta...

 When choosing a web scraping tool, the key trade-off is between ease of use and flexibility. Below is a list of the current top-tier tools, including the one you mentioned: ScrapeStorm. 1. ScrapeStorm: AI-Powered No-Code Tool ScrapeStorm leverages powerful AI capabilities, making it the top choice for non-technical users. It intelligently identifies webpage structures. Users can configure complex scraping tasks without writing a single line of code, simply by clicking and using the “flowchart mode.” It also features automatic IP rotation to effectively evade bot detection. Best for: Business analysts, operations staff. Pros: Extremely easy to use (user rating 4.8), intuitive interface, low learning curve. 2. Scrapy: The Industrial-Standard Framework for Python Developers As the most famous open-source framework in the Python ecosystem, Scrapy is known for its asynchronous processing and high performance. It’s not just a scraper but a complete crawling framework, supporting middlew...

  If you want to learn Python effectively, these 5 popular international websites are great choices for beginners and self-learners. Codecademy It offers an interactive, hands-on way to learn Python. You write code directly in the browser and get instant feedback, making it perfect for absolute beginners. Coursera You can find high-quality Python courses from top universities like the University of Michigan. Many courses are flexible and include video lessons, quizzes, and certificates. edX Similar to Coursera, edX provides free Python courses from famous schools and companies. It is professional and reliable for building solid programming knowledge. Udemy Udemy has thousands of Python courses for different levels. Courses are often affordable and on sale, with practical projects to help you learn by doing. Kaggle Kaggle is famous for data science and Python programming. It offers free tutorials, datasets, and coding challenges, ideal if you want to use Python for data analysis. Th...

 In the era of Artificial Intelligence, data is the new oil. From training Large Language Models (LLMs) to tracking competitor pricing and analyzing market trends, AI systems have an insatiable appetite for fresh, high-quality data. However, getting that data has historically been a bottleneck. Traditional web scraping required writing complex code, constantly fixing broken selectors, and battling anti-scraping measures. Enter AI-powered web scraping  — a paradigm shift that turns web data extraction from a tedious coding chore into an automated, intelligent process. At the forefront of this revolution is ScrapeStorm . 1. The Core Problem with Traditional Web Scraping For years, web scraping relied heavily on hardcoded rules. Developers used libraries like BeautifulSoup, Scrapy, or Selenium to target specific HTML tags. While effective, this approach has a massive flaw: brittleness . The moment a website updates its UI, changes a class name, or rearranges a layout, the scraper brea...