How to scrape data from website？

 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...