数据^(Data)和信息是两个经常互换使用的术语，但它们之间存在显着差异。例如，数据指的是信息位，而不是信息本身。另一方面，信息^{(Information)}是一组以有意义的方式处理的数据。随着互联网上可用的大量数据，Web Scraping、Web Harvesting或Web Data Extraction等不同的方法被用于生成关于互联网^(Internet)使用的可操作和改变游戏规则的见解。但它们在网络世界中究竟意味着什么。让我们来看看！

网页抓取是如何工作的

^(Computer)设计为智能^{(Intelligent)}机器人的计算机程序执行Web Scraping的工作。与仅复制屏幕上显示的像素的屏幕抓取不同，网络抓取提取底层HTML代码，并通过它提取存储在数据库中的数据。这种方法已经非常流行。事实上，它被认为是在当今数字世界中获得的基本技能之一。它在编译大型数据集方面有一些很好的应用，这些技术是以下技术的基础：

• 大数据分析^{(Big Data Analytics)}
• 机器学习
• 人工智能^{(Artificial Intelligence)}

随着数字信息的快速扩展，通过Web Scraping或Web Data Extraction方法访问^{(Web Data Extraction)}大数据^{(Big Data)}变得更加容易。话虽如此，Web Scraping可用于在^{(Web Scraping)}合法^(Legitimate)或非法情况下依赖数据收集的数字业务。前者包括仁慈的网络抓取示例^{(Benevolent Web Scraping Examples)}，而后者则包含恶意网络抓取^{(Malicious Web Scraping)}示例。

仁慈的网络抓取示例

• 搜索^(Search)引擎机器人抓取网站，分析其内容以根据某些发现分配排名，例如Google。
• 价格^(Price)比较网站部署机器人来自动获取产品价格
• 市场^(Market)研究公司使用抓取工具从社交媒体中提取数据（例如，用于情绪分析、个人偏好等）。

恶意网页抓取示例

^{(Web Scraping)}如果未经网站所有者许可提取数据，则出于非法目的进行网络抓取可能会造成严重的经济损失。恶意网页抓取^{(Malicious Web Scraping)}最常见的两个用例是价格抓取和内容盗窃。

• Price Scraping  – Scraper机器人检查竞争的业务数据库以访问定价信息，削弱竞争对手并促进销售。
• 内容盗窃^{(Content Theft)} ——这种非法活动包括从目标网站上进行的大规模内容盗窃。典型目标主要包括在线产品目录和依靠数字内容驱动业务的网站。

希望这可以帮助！

What is Web Scraping and how does it work in the Digital World

Data and information are two terms that are often υsed interсhangeably but there’s a notablе difference between them. For example, data rеfers to bits of information, but not information itѕelf. On the other hand, Infоrmation iѕ a set of data which is processed in a meaningful way. With the оverwhelming data available on the internet, different approaches like Web Scraping, Web Harvesting or Web Data Extraction are being used to generate actionable and game-changing insights over Internet use. But what exactly they mean in the online world. Let’s take a look!

How does Web Scraping work

Computer programs designed as Intelligent bots do the work of Web Scraping. Unlike screen scraping, which only copies pixels displayed onscreen, web scraping extracts underlying HTML code and, with it, data stored in a database. The approach has become quite popular. In fact, it is considered as one of the essential skills to acquire in today’s digital world. It has some great applications in compiling large data sets, fundamental to techniques like-

• Big Data Analytics
• Machine Learning
• Artificial Intelligence

With the rapid expansion of digital information, accessing Big Data via Web Scraping or Web Data Extraction approach has become much easier. Having said that, Web Scraping can be used for digital businesses that rely on data harvesting in both, Legitimate or illegitimate cases. The former includes Benevolent Web Scraping Examples while the latter features Malicious Web Scraping examples.

Benevolent Web Scraping examples

• Search engine bots crawling a site, analyzing its content to assign a rank based on certain findings, like Google.
• Price comparison sites deploying bots to auto-fetch prices of products
• Market research companies using scrapers to extract data from social media (e.g., for sentiment analysis, personal preferences, etc).

Malicious Web Scraping examples

Web Scraping for illegal purposes can inflict severe financial losses if data is extracted without the permission of website owners. The two most common use cases of Malicious Web Scraping are price scraping and content theft.

• Price Scraping – Scraper bots inspect competing business databases to access pricing information, undercut rivals and boost sales.
• Content Theft – This illegitimate activity comprises large-scale content theft from a target website. Typical targets mainly include online product catalogs and websites relying on digital content to drive business.

Hope this helps!

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