It can able to extract the websites with 20 times faster than other tools. If you are a beginner and if you want to learn things quickly and want to perform web scraping operations then Beautiful Soup is the best choice. Take a look. When you do something synchronously, you wait for it to finish before moving on to another task. Scrapy is a web crawling framework for developer to write code to create spider, which define how a certain site (or a group of sites) will be scraped.The biggest feature is that it is built on Twisted, an asynchronous networking library, so Scrapy is implemented using a non-blocking (aka asynchronous) code for concurrency, which makes the spider performance is very great. You are comparing technologies that are just at different levels. Scrapy allows you to be one by enabling you to easily throttle the rate at which you are scraping. 3. What Scrapy is, the differences between Scrapy and other Python-based web scraping libraries such as BeautifulSoup, LXML, Requests, and Selenium, and when it is better to use Scrapy. A library is needed to make a request to the website because it can’t able to make a request to a particular server. This is one of the downsides of this library for a complex project. When it comes to Beautiful soup, it is really a beautiful tool for web scrappers because of its core features. Company API Private StackShare Careers Our Stack Advertise With Us Contact Us. The architecture of Scrapy is well designed, you can easily develop custom middleware or pipeline to add custom functionality. But the Selection of the library is really a big task. Name of the proper… first of all, you should need to remember that Selenium is designed to automate test for Web Applications. But Selenium handles the whole browser to get the Javascript, CSS, and image files that is why Selenium is quite slower than Scrapy while website crawling. For example, you can make browser visit craigslist, click target elemnt or navigate to the target page, get the html source code of page. after that, we will dive into the various differences of each module. Even Selenium is mainly used to automate tests for web applications, it can also be used to develop web spider, many people have done this before. The biggest feature is that it is built on Twisted, an asynchronous networking library, so Scrapy is implemented using a non-blocking (aka asynchronous) code for concurrency, which makes the spider performance is very great. It is having much more advantages than synchronous requests. For this post, I chose to scrape Airbnb because a couple of forums suggested, Airbnb required a bit of an effort. If the data size is big, Scrapy is the better option because it can save you a lot of time and time is a valuable thing. Scrapy on the other hand is an entire framework consisting of many libraries, as … This is one of the reasons for choosing the library for complex projects. If the data is included in html source code, both frameworks can work fine and you can choose one as you like. If you are Selenium's fan, and want spider to run quietly, you can try to use Phantomjs, a headless browser. If you want a more powerful and flexible web crawler, or you indeed have some experience in programming, then Scrapy is definitely the winner here. Many related projects, plugins on open source websites such as Github, and many discussions on StackOverflow can help you fix the potential issue. But the problem with Beautiful Soup is it can’t able to do the entire job on its own. The most famous parsers are — lxml’s XML parser, lxml’s HTML parser, HTML5lib, html.parser. The learning curve for Scrapy is much steeper than Selenium but it definitely worth it base on the five points below: Write your crawler code in a much shorter Python script compare to selenium. In short, If the job is a very simple project, then Selenium can be your choice. It provides a way for the developer to write tests in a number of popular programming languages such as C#, Java, Python, Ruby, etc. So for the large/Complex projects, Scrapy is the best choice to work out. Also, on top of that, Scrapy consumed a lot less memory and CPU usage was a lot lower with Scrapy than with Selenium. If Your project needs proxies, data pipeline, then Scrapy would be the best choice. EcoSystem Scrapy: It has a good ecosystem, we can use proxies and VPN’s to automate the task. Chrome download page 2. Beautiful Soup: When it comes to a small project, Or low-level complex project Beautiful Soup can do the task pretty amazing. Scrapy only visit the url you told him, but Selenium will control the browser to visit all js file, css file and img file to render the page, that is why Selenium is much slower than Scrapy when crawling. From the above three common factors, you need to decide which one should be the right choice for your next project. This is the #11 post of my Scrapy Tutorial Series, in this Scrapy tutorial, I will talk about the features of Scrapy and Selenium, Compare them, and help you decide which one is better for your projects. But I would suggest —. Selenium is a framework which is designed to automate test for web applications. It has good community support for the developers but the documentation is not that much great for the beginners because it is not having a beginner friendly documentation. Scrapy is a framework which is used for web Crawling, on the other hand, Selenium is a “Testing Automation Framework”. 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