The term web scraping refers to a variety of techniques for gathering online information. In most cases, this is accomplished by using software that simulates human Web browsing in order to collect information from various websites. Many people use the tools to collect information for resale or for promotional purposes on a website.
Web scraping will be essential to realizing the full potential of the web by 2023. Web scraping is paving the way for the use of data in 2023, from artificial intelligence to e-commerce. Throughout the years, web scraping has been a popular method of obtaining structured data from web pages. The automatic extraction of web data is critical to realizing the full potential of the web and making efficient use of the massive amount of data accumulated on the web. The situation remains unchanged in 2023. This post will explore the world of modern data extraction in order to determine what opportunities and risks web scraping will face in 2023.

What is the legal status of web scraping?

In 2023, scraping websites will remain legal. Nevertheless, there are still some misconceptions and rumours regarding the legality of web scraping. Website scraping is not illegal in and of itself, as long as the information obtained is not used in an unethical manner. Even though online crawling was frowned upon by the data owners, judges did not find a reason to rule against the crawlers in many cases where firms used web crawlers to obtain competitors’ public data. In contrast, web scraping is considered illegal if it results in direct or indirect infringement of a third party’s intellectual property rights, as in Facebook vs Power Ventures. The practice of web scraping and the use of web scraping tools is not illegal. However, they have been restricted in recent years by privacy legislation, such as the General Data Protection Regulations (GDPR), which limit the crawl rate for a website.
The answer appears to be yes if it involves scraping publicly available data. Scraping does not harm the scraped organization, scraped data does not include personal information, and the scraped material is republished with citations. Please be aware that this is not legal advice, and you should seek specific guidance from a lawyer.

The Scraping of e-commerce in 2023

The increasing availability of online data has accelerated firms’ adoption of data-driven decision-making processes, which are expected to be 19 times more profitable and 52 per cent more effective at understanding their customers. Scraping the web has become an integral part of data-driven organizations, such as online e-commerce platforms that rely on publically available data to research competitors, track customers, and generate leads. Today, e-commerce businesses are able to conduct modern market research and competitive monitoring online using a variety of web scraping methods.
In today’s increasingly data-driven world, effective data collection strategies are crucial to a company’s success. The rise of big data and the corresponding companies have a direct impact on the demand for reliable and scalable web scraping tools which are capable of capturing large amounts of information from the web. Hence, web scraping appears to have a promising future.

The top web scraping frameworks and libraries to watch in 2023

In the world of web scraping, Python and Node.js continue to dominate. On the other hand, Node.js has slowly gained ground in Python with respect to the scalability and the capability of bypassing anti-scraping measures in large-scale applications.


  • Requests package is a popular HTTP library for Python. Its popularity has not decreased in 2023, with over 1,000,000 repositories using it. This is the de facto standard for sending HTTP requests in Python. It hides the complexity of making requests behind a beautiful, simple API, allowing you to focus on interacting with services and consuming data.
  • Beautifulsoup, a Python module for extracting HTML and XML elements from the web, is recommended for executing simple tasks. One of the reasons Beautiful Soup continues to be the best web scraping tool for beginners is its user-friendliness. The tool integrates with your preferred parser to provide idiomatic navigation, search, and modification of the parse tree. It is not unusual for programmers to save hours or even days of work.
  • Scrapy is an open-source and collaborative platform for extracting data from websites. Because of its speed, simplicity, and extensibility, Python remains the top choice for large-scale scraping applications due to its efficiency and feature set.


  • Got Scraping is an extension to the Got HTTP client package that provides solutions to typical issues in modern online Scraping and circumvents anti-scraping measures.
  • Cheerio is a widely used Node.js tool that parses HTML and XML, with over 23K stars on GitHub. Using it is easy, quick, and adaptable. Cheerio implements a subset of JQuery, so it’s easy to get started if you’re already familiar with it. There are a number of key differences between Cheerio and a web browser, such as the lack of visual rendering, the inability to load CSS, and the inability to run JavaScript. It merely parses the markup and provides an API for changing the resulting data structure. This explains why it is so quick.

Web scraping tools for browser automation in 2023

Scraping dynamic websites requires browser automation technologies because they can render JavaScript on a web page. Many current websites, particularly those in the e-commerce industry, dynamically load their content using JavaScript.
  • Selenium is a web testing tool that has also been used to scrape web pages off the beaten path. In addition to Python, Selenium is also available in JavaScript (Node.js), Ruby, Java, Kotlin, and C#.
  • Puppeteer is a Node.js library that is developed and maintained by Google. A high-level API is provided for manipulating the Chrome browser programmatically. In addition to web scraping, Puppeteer is used for automated testing and process automation.
  • Playwright is a relatively new library in the web automation field, but it is rapidly gaining popularity among developers. Due to its modern features, cross-browser compatibility, multi-language compatibility, and ease of use, Playwright will be the best choice for web scraping and browser automation in 2023.

A rise in anti-bot protections in 2023

The anti-scraping defences are becoming more sophisticated, and addressing them is becoming more and more important to the development of efficient and scalable scraping solutions. Advanced anti-scraping techniques, such as user behaviour analysis and browser fingerprinting, are often used in conjunction with more traditional anti-scraping measures, such as IP rate limiting and HTTP request analysis. What can you do to avoid getting stuck while scraping?
The majority of websites employ fingerprinting-based detection, collecting enormous amounts of data about users’ devices, operating systems, and browsers. Dealing with advanced fingerprinting-based tracking techniques usually involves a great deal of trial-and-error testing, which has resulted in the banning of several proxy servers, significantly increasing web scraping solutions’ maintenance and development costs.
Although new challenges are present, web scrapers are still able to adapt quickly to changes in the environment and remain one step ahead of the most advanced anti-bot techniques in 2023. New technologies, such as Crawlbase, allow bots to appear like real human users and thus avoid being blocked.


Scraping has become a cat-and-mouse game between content owners and scrapers, with each side investing billions in defeating the other’s countermeasures. As a result, more powerful systems are expected to be developed by both parties. It is becoming more common to employ open source in software development, and this is no exception. Python’s popularity is growing and is already quite high, as previously mentioned. In the near future, Python-based open-source libraries such as Selenium, Scrapy, and Beautiful Soup are expected to shape web crawling workflows.