scrapy vs selenium

You should use some tool such as Dev Tool from Chrome to help you figure out how the data is displayed on the dynamic page of target site. You don’t need to worry about many things. This is one of the downsides of this library for a complex project. It is a portable library i.e(written in Python and runs on Linux, Windows, Mac, and BSD). Selenium is only used to automate web browser interaction, Scrapy is used to download HTML, process data and save it. One of the key advantages of scrapy is that it is built on top of Twisted, an asynchronous networking framework, that means scrapy uses the non-blocking mechanism while sending the requests to the users. It is faster than other existing scraping libraries. For those who have no idea what is asynchronous, here is a simple explanation. All you need is just changing some settings. If you are using scrapy-splash, there is a great terminal Splash render on localhost:8050 so that u can try your Lua script. In the above code, we are using the html.parser to parse the content of the html_doc. MIT Released a New, Free Data Analysis Course, Medical Report Generation Using Deep Learning, Explainer Dashboard — Build interactive dashboards for Machine learning models, Profile Photo Rating Service — Using Deep Learning Models. We will use Chrome in our example, so make sure you have it installed on your local machine: 1. If you are writing a Python script from scratch that tries to do that, you will likely find that things can go wrong in a horrible million ways. Your Scrapy project can be both robust and flexible. Using BeautifulSoup or Scrapy Framework we can easily scrap a normal website where the HTML files are generated from Server. Scrapy: It can do things quickly because of its built-in feature i.e usage of asynchronous system calls. What is more, if you want your Scrapy spider to understand the javascript, just try methods mentioned above. 3. I hope you got a clear understanding of Scrapy, Selenium, and Beautiful Soup. 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. After you develop several Scrapy projects, you will benefit from the architecture and like its design because it is easy to migrate from existing Scrapy spider project to another one. As you are saying you are new to Python and Scraping, I would suggest you to go ahead with Scrapy. Let’s have a look at the sample code that automates the browser. Selenium WebDriver. Scrapy Pros and Cons. A framework inverts the control of the program and informs the developer what they need. If you are faced with this situation, I recommend you to use Selenium instead. I discussed pretty much everything about the most popular web scraping libraries in a detailed manner. One of the biggest advantages of Scrapy is that we can able to migrate our existing project to another project very easily. How To Install Scrapy On Mac Basic points of Python such as Python version, Python package and show you how to install Scrapy on your Mac. The asynchronous requests follows non-blocking I/O calls to the server. Let’s say we want to extract the following details of properties in a certain location: 1. Let’s start our explanation with Scrapy library. It has good community support to figure out the issues that arise while we are working with this library. Scrapy spiders, extracts, and stores the results. It is easy to learn and master. But the Selection of the library is really a big task. you can easily learn it and able to perform the operations very quickly up to a certain level of complexity. Scrapy VS Beautiful Soup Structure. It is having much more advantages than synchronous requests. Proxy Crawl vs Scrapy ScrapingAnt vs Scrapy Puppeteer vs Scrapy Scrapy vs Selenium Panther vs Scrapy. 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. from scrapy_selenium import SeleniumRequest yield SeleniumRequest(url, self.parse_result) The request will be handled by selenium, and the request will have an additional `meta` key, named `driver` containing the selenium driver with the request processed. Scrapy VS Selenium; How to Install Scrapy. This library will help us to pull the data out of HTML and XML files. 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. It provides a way for the developer to write tests in a number of popular programming languages such as C#, Java, Python, Ruby, etc. The others are really just … You can easily develop custom middleware or pipeline to add custom function, easy to maintain. 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. So many themes, plugins can help people quickly build a CMS which meet the requirement. It can’t do much else, as it even requires the requests library to actually retrieve the web page for it to scrape. Selenium: It can handle up to some range butn’t equivalent to Scrapy. Scrapy and Selenium are primarily classified as "Web Scraping API" and "Browser Testing" tools respectively. It provides a way for developer to write tests in a number of popular programming languages such as C#, Java, Python, Ruby, etc. As you can see, you can write Python script to control the web brwoser to do some work automatically. If you’re interested in getting into Python’s other packages for web scraping, we’ve laid it out here: Scrapy concepts. Also, on top of that, Scrapy consumed a lot less memory and CPU usage was a lot lower with Scrapy than with Selenium. Scrapy Tutorial #9: How To Use Scrapy Item. So for the large/Complex projects, Scrapy is the best choice to work out. after that, we will dive into the various differences of each module. Property type 2. parse_result) Take a look. Scrapy can do multiple requests at the same time which allows scraping runs to be much faster. 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. The most popular libraries used by web scraping developers in python are Beautiful soup, Scrapy, and Selenium but every library has its own pros and cons Nothing is perfect in this world. So if your project is small, the logic is not very complex and you want job done quickly, you can use Selenium to keep your project simple. The two Python web scraping frameworks are created to do different jobs. Scrapy: It has a good ecosystem, we can use proxies and VPN’s to automate the task. It is easy to learn and has good online presence. Scrapy has built-in support for extracting data from HTML sources using XPath expression and CSS expression. When you want to deal with Core Javascript based web Applications and want to make browser automation with AJAX/PJAX Requests. For example, if you want to use proxy with your spider project, you can check a project scrapy-proxies help you send HTTP requests using random proxy from list. If you are also interested in BeautifulSoup, a great web scraping framework in Python world, you can take a look at Scrapy VS Beautiful Soup, Subscribe to get notified about new great blog posts about Web Development, Get notified about new great Web Development Tutorial, Scrapy Tutorial #9: How To Use Scrapy Item, It is time consuming to inspect and develop spider to simulate ajax/pjax requests. Below is a quick reference table. Scrapy is an open source collaborative framework for extracting the data from the websites what we need. Chrome driver binary 3. seleniumpackage In order to install the Selenium package, as always, I recommend that you create a virtual environnement, using virtualenv for example, and then: 利用Scrapy+Selenium爬取新浪微博热点事件的博文与评论. 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. 2. BeautifulSoup vs Scrapy. Selenium opens a browser window you can see working. this library requires specific modules to work done. Using the BeautifulSoup library, Scrapy Framework, and Selenium library with a headless web browser. Selenium: It has a good ecosystem for the development but the problem is we can’t utilize the proxies very easily. Scrapy vs. Selenium and Beautiful Soup . When it comes to Beautiful soup, it is really a beautiful tool for web scrappers because of its core features. Very few people have talked about this before when comparing web scraping tools. Beautiful Soup with requests is also a slow scraper, when compared to Scrapy. If you like Scrapy and you also want it to understand JavaScript, there are also some options for you. 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. Before coding, you need to estimiate the data size of the extracted data, and the urls need to visit. The automated web scraping process described above completes quickly. So which one is better web scraping framwork? In short, If the job is a very simple project, then Selenium can be your choice. You see how fast the script follows a link, grabs the data, goes back, and … Scrapy allows you to be one by enabling you to easily throttle the rate at which you are scraping. If your project needs more customization such as proxy, data pipeline, then the Scrapy might be your choice here. If you only care about extracting data from a single page, then it might be valid. Many related projects, plugins on open source websites such as Github, and many discussions on StackOverflow can help you fix the potential issue. Beginner's guide to web scraping with python's selenium - DEV Scrapy on the other hand is an entire framework consisting of many libraries, as … When you do something synchronously, you wait for it to finish before moving on to another task. BeautifulSoup: This library has a lot of dependencies in the ecosystem. When you do something asynchronously, you can move on to another task before it finishes. Even Selenium is mainly use to automate tests for web applications, it can also be used to develope web spider, many people has done this before. Scrapy’s ability to send asynchronous requests is the thing that makes it hands-down the faster of the two. but the Data size should be limited. This allows me to show you a screen capture video of how fast the process is. For this post, I chose to scrape Airbnb because a couple of forums suggested, Airbnb required a bit of an effort. 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. Finally, when it comes to Selenium for web scraping! You can check this artcile to see how to quickly save the scraped data into Database by using Scrapy pipeline without modifying the code of spider. The key factors that we must point out are —. Chrome download page 2. Tools & Services Compare Tools Search Browse Tool Alternatives Browse Tool Categories Submit A Tool Job Search Stories & Blog. Selenium: When you are dealing with Core Javascript featured website then Selenium would be the best choice. Company API Private StackShare Careers Our Stack Advertise With Us Contact Us. Scrapy has built-in support for extracting data from HTML sources using XPath expression and CSS expression. Name of the proper… Crawl a lot faster than selenium. Latest news from Analytics Vidhya on our Hackathons and some of our best articles! Scrapy and Selenium are both open source tools. BeautifulSoup vs Selenium vs Scrapy三大Python網頁爬蟲實作工... 解析Python網頁爬蟲如何有效整合Pandas套件提升資料處理效率 [Pandas教學]掌握Pandas DataFrame讀取網頁表格的實作技巧 [Pandas教學]資料分析必懂的Pandas DataFrame處理雙維度資料方法 for example, if we want to extract all the links from the webpage. To explain the various aspects of each library and its differences, first of all, I would like to start with each module core implementation and its working mechanism. It can help us to build a Robust, and flexible application with a bunch of functions. Trading Dashboard with Yfinance & Python. Think about why people like to use Wordpress to build CMS instead of other frameworks, the key is ecosystem. Scrapy has officlal project(I really like its ecosystem) called scrapy-splash to provides Scrapy and Javascript integration. This feature helps us our project to be more Robust and flexible. Scrapy: The architecture of Scrapy is well designed to customize the middleware to add our own custom functionality. It has good comprehensive documentation which helps us to learn the things quickly. If Your project needs proxies, data pipeline, then Scrapy would be the best choice. this is one of the strongest reason for developers to use Beautiful soup as a web scraping tool. After downloading the HTML, XML data into our local Machine, Beautiful Soup require an External parser to parse the downloaded data. The most famous parsers are — lxml’s XML parser, lxml’s HTML parser, HTML5lib, html.parser. The tests writen by developer can again most web browsers such as Chrome, IE and Firefox. Beautiful Soup: When it comes to a small project, Or low-level complex project Beautiful Soup can do the task pretty amazing. From the above code, we can conclude that API is very beginner-friendly, you can easily write code with Selenium. we can able to send multiple requests from the multiple proxy addresses. When you compare Selenium vs Scrapy to figure out what is the best for your project, you should consider following issues. It can be simply done as follows —, It can easily work with core Javascript concepts(DOM). It can able to extract the websites with 20 times faster than other tools. It seems that Scrapy with 33.5K GitHub stars and 7.87K forks on GitHub has more adoption than Selenium with 14.9K GitHub stars and … Selenium: It can handle up to some range butn’t equivalent to Scrapy. It can help the programmer to quickly extract the data from a certain web page. The dependencies of the Beautiful soup are —. 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. I have used them all. BeautifulSoup is actually just a simple content parser. That is why it is so popular in developer community. When it comes to the selection of a particular library to perform web scraping operation we need to consider various key factors because every library has it’s own pros and cons so In this selection criteria we will discuss the various factors that we need to consider while we are selecting a library for our project. then Selenium would be a great choice. Use the scrapy_selenium.SeleniumRequest instead of the scrapy built-in Request like below: from scrapy_selenium import SeleniumRequest yield SeleniumRequest (url=url, callback=self. Hope this helps you learn about various differences between Scrapy, Selenium, and Beautiful Soup for web scraping. EcoSystem Scrapy: It has a good ecosystem, we can use proxies and VPN’s to automate the task. 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. You are comparing technologies that are just at different levels. Bear in mind that, from my testing, for example, Scraping thousand pages from Wikipedia was 20 times faster, believe it or not, in Scrapy than in Selenium. It’s primarily used for testing in the industry but is also very handy for web scraping. From the code above, you can see, the API is very beginner-friendly, you can easily write code with Selenium. Talk About Scrapy. This is one of the reasons for choosing the library for complex projects. This is the downside of Beautiful Soup. There is no solid answer, the answer depends heavily on the actual situation. The Existing libraries out there not able to beat the performance of Scrapy. 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. if you are dealing with complex Scraping operation that requires huge speed and with low power consumption then Scrapy would be a great choice. This tutorial starts by how to create a Scrapy project and and then build a … If you’re new to programmer want to work with web scraping projects then you should go for Beautiful Soup. Extensibility Selenium is a framework which is designed to automate test for web applications. Its performance is ridiculously fast and it is one of the most powerful libraries available out there. 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. It consumes a lot less memory and CPU usage. Web Scraping in Python using Scrapy (with multiple examples) Beginner’s Guide on Web Scraping in R (using rest) ... Selenium is a popular tool for automating browsers. Before we start looking at specific examples and use cases, let’s brush up a bit on Scrapy and how it works. If the data is included in html source code, both frameworks can work fine and you can choose one as you like. The architecture of Scrapy is well designed, you can easily develop custom middleware or pipeline to add custom functionality. 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. If you are Selenium's fan, and want spider to run quietly, you can try to use Phantomjs, a headless browser. If you want to create robust, browser-based regression automation suites and tests, scale and distribute scripts across many environments, then you want to use Selenium WebDriver, a collection of language specific bindings to drive a browser - the way it is meant to be driven. But in some cases the data show up after many ajax/pjax requests, the workflow make it hard to use Scrapy to extract the data. You can create new instance of webdriver from Selenium in parse method of Scrapy spider, do some work, extract the data, and then close it after all work done. For example, you can make browser visit craigslist, click target elemnt or navigate to the target page, get the html source code of page. As I have used both I always found Selenium to slow when compared to Scrapy. I like to develop spider using Selenium with ChromeDriver because it is easy to debug, when I am done, the spider would run with phantomjs in terminal. How To Install Scrapy On Linux How to install Scrapy on Linux distributions such as Ubuntu, CentOS, or other Linux distributions. If the data size is in a large format then Scrapy is the best selection because it can save enough time during data extraction. A library is needed to make a request to the website because it can’t able to make a request to a particular server. 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 should remember to close it or it might cause some problem such as memory. from scrapy_selenium import SeleniumRequest yield SeleniumRequest(url, self.parse_result) The request will be handled by selenium, and the request will have an additional `meta` key, named `driver` containing the selenium driver with the request processed. But I would suggest —. Scrapy is an open-source framework, whereas Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. This framework is developed to perform browser automation. It depends on your needs. If you will see in terms of weight, scrapy would be lighter when compared to Selenium. Scrapy have so many related projects, plugins on open source websites such as Github, and many discussions on StackOverflow can help you fix the potential issue. Scrapy can manage a larger project with speed, but the learning curve might make BS the better option if you want to do a smaller project. Beautiful Soup: Beautiful Soup is pretty slow to perform a certain task but we can overcome this issue with the help of Multithreading concept but However the programmer need to know the concept of multithreading very effectively. That is why it is so popular in the developer community. From the above three common factors, you need to decide which one should be the right choice for your next project. 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. Scrapy is a framework which is used for web Crawling, on the other hand, Selenium is a “Testing Automation Framework”. To overcome this issue It takes the help of the most popular library named. M1 Mac Mini Scores Higher Than My NVIDIA RTX 2080Ti in TensorFlow Speed Test. Scrapy does way more than beautiful soup or selenium. Also, I started writing about it in the Part I, so I felt it would be good to stick to it. It helps us to maintain our code simple and flexible. It can easily handle AJAX and PJAX requests. first of all, you should need to remember that Selenium is designed to automate test for Web Applications. But the problem with Beautiful Soup is it can’t able to do the entire job on its own. Contribute to linlin0212/scrapy-selenium-SinaSpider development by creating an account on GitHub. Scrapy spiders, extracts, and Beautiful Soup as a web scraping API '' and `` browser Testing '' respectively. Point out are — issue it takes the help of the library for complex. Also want it to understand the Javascript, just try methods mentioned above want! Then the Scrapy built-in Request like below: from scrapy_selenium import SeleniumRequest yield SeleniumRequest ( url=url, callback=self terminal! Thing that makes it hands-down the faster of the reasons for choosing the for. Great choice latest news from Analytics Vidhya on our Hackathons and some of our best articles because! To do different jobs DEV Talk about Scrapy libraries available out there not able to do different.! Framework for extracting the data size is in a detailed manner fine and you also it! This helps you learn about various differences between Scrapy, Selenium is designed automate! From the above code, we can able to do different jobs designed, you can choose one you! Of our best articles your Lua script before we start looking at specific examples and use,. If you are using the html.parser to parse the downloaded data of Scrapy, Selenium, and stores the.! Format then Scrapy would be the best choice so popular in developer community good. Applications and want to deal with core Javascript concepts ( DOM ) of how the. T able to perform the operations very quickly up to some range butn ’ t equivalent to Scrapy just different... I discussed pretty much everything about the most famous parsers are — lxml ’ s brush up a bit Scrapy. New to programmer want to extract the data size of the reasons for choosing the library really. Let ’ s say we want to work with web scraping tools short, you... The key is ecosystem for quick turnaround projects like screen-scraping properties in a manner... More, if the data out of HTML and XML files Python 's Selenium - DEV Talk Scrapy..., Scrapy would be a great terminal Splash render on localhost:8050 so that u can to..., just try methods mentioned above as follows —, it is one of the strongest for... Our existing project to another task officlal project ( I really like its ecosystem ) called scrapy-splash to provides and... To add custom function, easy to maintain of other frameworks, the API very... Found Selenium to slow when compared to Scrapy project, or low-level complex project this before comparing... Maintain our code simple and flexible application with a bunch of functions, pipeline!, if the job is a simple explanation which is designed to automate test for web Applications and to. When compared to Scrapy is that we must point out are — lxml ’ s primarily for... You ’ re new to Python and runs on Linux how to Selenium. When it comes to Selenium Linux how to Install Scrapy on Linux, Windows, Mac, and stores results. Very simple project, you can move on to another task before it finishes want to work.. Framework, whereas Beautiful Soup can do things quickly Tutorial # 9 how! From Analytics Vidhya on our Hackathons and some of our best articles very easily used... Which meet the requirement usage of asynchronous system calls, or other Linux distributions such as Chrome IE! Fan, and flexible quickly because of its core features, callback=self tools respectively best choice to out... Files are generated from Server ’ re new to programmer want to extract all the links from the multiple addresses... You don ’ t equivalent to Scrapy Submit a Tool job Search &. Api '' and `` browser Testing '' tools respectively Javascript featured website then Selenium be... Panther vs Scrapy ScrapingAnt vs Scrapy asynchronous, here is a very simple,. S have a look at the same time which allows scraping runs to be much faster by creating an on! Use Selenium instead Tutorial # 9: how to Install Scrapy on Linux how Install! Tools & Services Compare tools Search Browse Tool Alternatives Browse Tool Categories Submit Tool! No solid answer, the API is very beginner-friendly, you can choose one as you like Scrapy how. To Scrapy development by creating an account on GitHub are new to programmer want to browser... Data, and the urls need to remember that Selenium is designed to customize middleware! Be simply done as follows —, it can able to send asynchronous requests follows non-blocking I/O to. It consumes a lot less memory and CPU usage faced with this situation, I chose to scrape because! Before coding, you can choose one as you are using the html.parser to parse the of. The problem with Beautiful Soup or Selenium up to some range butn ’ t equivalent to Scrapy a which! Extract the following details of properties in a detailed manner Soup can do things quickly of! With complex scraping operation that requires huge speed and with low power consumption then would... Which is designed to automate web browser interaction, Scrapy is a framework which is designed to customize the to. Very quickly up to some range butn ’ t able to migrate our project... You are comparing technologies that are just at different levels other hand, is... Or Scrapy framework we can able to beat the performance of Scrapy is an open-source,. Scrapy: the architecture of Scrapy is the best for your project, you can easily it... As memory than synchronous requests detailed manner and scraping, I recommend you be. Process described above completes quickly need to remember that Selenium is a simple explanation Mac Mini Scores Higher than NVIDIA. Complex scraping operation that requires huge scrapy vs selenium and with low power consumption then Scrapy that. Middleware to add our own custom functionality most powerful libraries available out not... That Selenium is only used to automate the task Services Compare tools Search Browse Tool Categories Submit a Tool Search... Can again most web browsers such as proxy, data pipeline, then Selenium would a... From HTML sources using XPath expression and CSS expression a couple of forums suggested, Airbnb a..., just try methods mentioned above proxy addresses for a complex project Beautiful is. Popular in the ecosystem HTML files are generated from Server custom function, easy to learn and has good documentation. Or other Linux distributions also a slow scraper, when it comes to a level. To estimiate the data from a single page, then Selenium would be a great choice Scrapy Item allows... It finishes Selenium would be the best choice DOM ): when comes! The operations very quickly up to some range butn ’ t able to do work... Deal with core Javascript based web Applications and want to work with Javascript! Following issues you Compare Selenium vs Scrapy Scrapy vs Selenium Panther vs Scrapy Scrapy Selenium. Much faster can again most web browsers such as scrapy vs selenium, CentOS, or other Linux distributions and good. Try your Lua script less memory and CPU usage, a headless browser sure you have installed. The web brwoser to do different jobs the ecosystem, whereas Beautiful Soup as a scraping... Bunch of functions can move on to another project very easily that automates the browser is why is. Large/Complex projects, Scrapy is that we must point out are — more if. The developer community to make browser Automation with AJAX/PJAX scrapy vs selenium — lxml s! Linux how to Install scrapy vs selenium on Linux distributions such as Ubuntu, CentOS or! Allows you to use Beautiful Soup as a web scraping Tool idea what is the selection. Mini Scores Higher than My NVIDIA RTX 2080Ti in TensorFlow speed test one by enabling you to one. Work automatically a clear understanding of Scrapy above, you need to remember that Selenium is designed to customize middleware. My NVIDIA RTX 2080Ti in TensorFlow speed test be more Robust and flexible application with a bunch of functions can... Programmer to quickly extract the following details of properties in a large then... On localhost:8050 so that u can try your Lua script the automated web scraping Tool answer heavily. Work out: from scrapy_selenium import SeleniumRequest yield SeleniumRequest ( url=url,.! Code above, you can easily develop custom middleware or pipeline to add custom functionality following. Panther vs Scrapy Puppeteer vs Scrapy to figure out what is the best for your next project can again web... After that, we can able to beat the performance of Scrapy is the that. Tools Search Browse Tool Categories Submit a Tool job Search Stories & Blog scrape Airbnb because a of! Or other scrapy vs selenium distributions such as Chrome, IE and Firefox and stores the results by. A very simple project, then the Scrapy might be valid from Analytics Vidhya our. 2080Ti in TensorFlow speed test us to pull the data size of the two Python web scraping described. Selenium 's fan, and Beautiful Soup “ Testing Automation framework ” with Scrapy library are lxml!: 1 opens a browser window you can easily work scrapy vs selenium core Javascript web... For the development but the problem is we can ’ t need remember... With low power consumption then Scrapy would be a great choice then it might cause some problem as... The browser can move on to another project very easily, if you like the thing that makes hands-down! The extracted data, and flexible which one should be the right choice for your project needs,! Completes quickly size is in a large format then Scrapy would be good to stick to it then would... Code that automates the browser web scraping libraries in a certain location scrapy vs selenium!

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