How to scrape data from website？

  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...

Breitbart is an American news website founded in 2007. It is known for its conservative and right-wing viewpoints, offering a wide range of news reports and commentaries covering politics, society, economy, culture, and more. The website was created by Andrew Breitbart with the aim of providing a news platform that reflects conservative values. Its reporting style tends to be subjective and controversial, often sparking heated discussions and debates on political topics. However, it has also been a source of controversy, as some people believe its reporting lacks objectivity and authority. Nevertheless, for some readers who hold conservative positions, Breitbart is a popular news source that provides them with alternative viewpoints and voices compared to mainstream media. 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. ...