Scrapy To Gain Web Data Insights. Im here today to give you an example how you can too use web scraping to gain insights from online available data. Im gonna be using Scrapy the web scraping framework to scrape football stats from the web. Then I will process the scraped data. NuBNgVAKg4.jpg' alt='Scapy How To Install' title='Scapy How To Install' />Finally, making it really useful for everyone. I will create some basic, simple analysis with matplotlib and pandas. Lets jump right into it Now Im going to show you a comprehensive example how you can make raw web data useful and interesting using Scrapy, SQL and Matplotlib. Unlimited Course Access Get unlimited access to our entire catalog of 125 courses for a small monthly fee. RootaX201EPhomea sudo apt install libnl3dev libnlgenl3dev pkgconfig libssldev nettools git sysfsutils pythonscapy pythonpycryptodome. Hacking the Java Debug Wire Protocol or How I met your Java debugger. R. Its really supposed to be just an example because there are so many types of data out there and there are so many ways to analyze them and it really comes down to what is the best for you and your business. Scraping And Analyzing Soccer Data. Briefly, this is the process Im going to be using now to create this example project Task Zero Requirements Of Reports. Figuring out what is really needed to be done. What are our business goals and what reports should we create What would a proper analysis look like Task One Data Fields And Source Of Data. When debugging a problem, its always frustrating to get sidetracked hunting down the relevant logs. PostgreSQL users can select any of several different ways to. Irongeeks Information Security site with tutorials, articles and other information. Download the free trial version below to get started. Doubleclick the downloaded file to install the software. Anaconda2minGW. Planning ahead what data fields and attributes well need to satisfy the requirements. Also, looking for websites where I can get data from. Creating scrapers for the websites that weve chosen in the previous task. Cleaning, standardizing, normalizing, structuring and storing data into a database. Creating reports that help you make decisions or help you understand data more. Draw conclusions based on analysis. MnPmNXJxDoQ/0.jpg' alt='Scapy How To Install' title='Scapy How To Install' />Understand data. Storytime is over. Start working Task Zero Requirements Of Reports. As I said were gonna analyze soccer data. I think though soccer data is too big of a scope for us right now so lets say we wanna analyze only goals and match results. We consider matches that has been played in the latest soccer season 2. Regarding soccer leagues, it really depends on how good of a data source we can find. If we could find a website with roughly all the European soccer leagues not just the major onesItaly, England, Germany, Spain, etc. Taplika.com-homepage-image.png' alt='Scapy How To Install' title='Scapy How To Install' />What kind of reports to produce This is a key question and must be answered before moving on. We have to know what kind of reports were gonna create to know exactly what to scrape. So lets figure it out Were focusing on goals and results. It would be interesting to see some basic overall reports like Average amount of goals. Average amount of 1st half2nd half goals. Amount of home winsaway winsdraws. The biggest goal difference between two teams. The biggest comeback in the 2nd half. Distribution of average goals along the season. So these are just some adhoc ideas. We could think about other thousands of ways to analyze football data. Were gonna scrape data only to be able to produce these reports. Again, without knowing what exactly you want to have as an end result its just a waste of time to write the scraper. This task is done. Lets move on to Task One. Task One Source Of Data And Data Fields. We want to find a website which has all the data fields we need. What are our data fields We can figure them out having a close look at the report requirements we just wrote. Data fields are data points and they will be scraped by our future scraper. Putting the data fields together well get a Scrapy item or a record in the database. Going through the report requirements we will need at least these fields Home goals 1st half. Home goals 2nd half. Away goals 1st half. Away goals 2nd half. Match date. League. Country. Scraping only these fields will be enough to generate some interesting reports about soccer matches  in the latest season. Looking for a data source. We are getting closer and closer to be able to start writing our scraper. The next step is to find the source of our raw data aka a website we can scrape. So lets do a research I simply start off googling soccer stats. There are a bunch of website providing soccer stats. We should keep in mind that were NOT looking for the fanciest and most modern website. Usually google shows the best sites on its first page for the given keywords but now we are searching for not the best one but the one which just has the data we need and is simple. Simple means now, that the HTML of the site is nicely structured and relatively clean. Also, if we visit the page with Java. Script disabled its still displaying the data fields we need. Because we dont wanna do  unnecessary JS handling in our scraper. Our goal now is to find a website which has got all the data preferably on one page or few pages. We are focusing on getting our data as simply and fast as possible. After about 2. 0 2. I found a website that meets the mentioned criterias fully http www. Next, have a look at robots. This file contains information about how our scraper or bot should behave on the site. It usually defines rules like disallowing some bots to visit specific pages or defines the minimum delay between two requests. To be ethical we have to follow the rules defined here. So check our chosen websites robots. Disallow pismo. Disallow poisk. Disallow rassylki. Disallow enpismo. Disallow enpoisk. Disallow pdapismo. Disallow pdarassylki. Disallow x. Disallow awstats. Disallow webalizerUser agent Disallow pismo. Disallow poisk. Disallow rassylki. Disallow enpismo. Disallow enpoisk. Disallow pdapismo. Disallow pdarassylki. Disallow xDisallow awstatsDisallow webalizerIt mentions a few pages that should be avoided. Im okay with that we dont wanna mess with those pages anyway. This kind of website is the perfect website to scrape. Consistent html, relatively fast to scrape through the pages. No Terms Of Use that explicitly prohibit web scraping on the site. Robots. txt is fine. No javascriptAJAX in the background. Nothing. Thats what I like to seeAs a side note, in a real world project you rarely get to choose which website to scrape because you will have probably no choice. Now we got lucky to find a website which is easy to scrape. So until now, we made a clear picture what we really want to get as an outcome. Then we found a great site to scrape though it took a little time to find it but it was worth effort. We can move forward and design our Scrapy spider. Finally Task Two Create Scrapy Spiders. This is what were gonna be doing in this task Setting up Scrapy. Plan the path of our scraper. Inspecting the website. Playing around with selectors in Scrapy Shell. Writing the spider. Writing cleaning pipelines. Exporting, saving to SQL database. Deploying to Scrapy cloud. Setting Up Scrapy. We need to install Scrapy and were gonna set it up inside a virtual environment. Making sure that our project is somewhat isolated. Lets create a project directory and setup a virtual environment. Before installing Scrapy we have to install its dependencies. Plague Inc Full Free Download Pc. Finally, install the latest scrapy If you have other operating system or any problems installing Scrapy, see the installation docs here. Now we have Scrapy installed in our environment. Each Scrapy project has the same file structure. We can create a Scrapy project with scrapy startproject command. This way, we created an empty scrapy project, the file structure looks like this Inspecting the website. This is the part when we plan the path of our scraper. We figure out the path our scraper should follow and recognize the easiest way to get our data fields. How to Install Security Onion 1. Did you know Security OnionIt is a Linux distro specialized on network security monitoring and intrusion prevention, simplify the whole network management with a Ubuntu based distro that you can start using with just few steps. It comes with many valuable security software to monitor your network in realtime or perform analysis on pcap files andor system logs. Today I will drive you through the installation proccess on a step by step basis. At the end of this article you have it installed on your machine and will be able to start to monitor your network traffic and host activity using its tools. Here are tools you will find on Security Onion Reassemblertcpdump. OSSEChunt. Squert. Xplicotshark. Brodsniff. ELSAtcpxtractngrep. Snortsslsniff. Snorbytcpstat. Wireshark. Suricatamergecapsguiltcpslicessldumpbarnyard. Network. Mineru. 2boatnetsniff ng. Sniffitscapy. Argusu. Daemonloggernetsedlabreahping. Download Security Onion. Download the Security Onion ISO from Github. In fact Security Onion can even be installed on distros based on Ubuntu, however this will not be covered here,  here is how to install Security Onion on Ubuntu. Boot. As you start the system with the Security Onion media you will be presented with the following screen, just hit the install option. Boot screen. Install Security Onion. Once you select the install option the system will start to boot and then show the setup screen. Part I Operating System. First thing to set is the Operating System language. Select language. Now decide either to use or not 3rd party technology, such as Flash player or MP3 codecs. Third party software. Select how the system will be installed on your hard disk, the disk encryption and LVM setups dig not worked out of the box, so if you are no familiarized with it just click install and then continue when asked. Setup HD install. Now select the location, this will set the locale datetime options, click on your country then continue. Select your keyboard layout, use the detection tool if in doubt. Keyboard layout. Then set your credentials, you will have to answer the following Your name. Computer  name. Username. Password. Confirm password. Set it to ask for a password during systems startup. Your credentials. Note Do not select the encrypt me home  folder option, despite I did not tried it myself but people complain about that on forums. At the end of this process restart the system to boot from hard disk. Part II Network. Once system restarts you can run the setup script from the desktop, then give the password you set on the last step when asked. Then it asks if you want to set up your network interfaces, choose Yes to setup network. Setup network interfaces. Choose network configuration method to use, we are going to use static configuration. Network configuration mode. Set the IP Address of this machine. Set IP address. Set the network mask. Set network mask. Set  IP of the gateway. Set gateway. Set the DNS servers IP. Set DNS servers. Set the local domain. Set local domain. Set any special network settings if needed, then reboot the system again. Reboot. Part III Sensors and servers. Run the setup script from the desktop again when system restarts and follow the next steps. First you choose which mode of the install script to run, We are going to run the Production mode here to show you details. Setup mode. Select which mode Sguil will be installed sensor Install agents for monitoring. Install service to manage the monitoring. Install both, sensors and server, we are going to use this one. Sguil mode. Set a username for Sguil, ELSA and Squert interfaces. Sguil username. Define a password and confirm. Sguil password. Set how many days to keep the log. Days to keep. Set the numbers of days to repair My. SQL tables. Days to repair. Select IDS engine to use, either Snort or Suricata. Select IDS engine. Select the IDS ruleset to use. Select IDS ruleset. Set the minimum number of PFRING slots. Enable the use of IDS engine. Enable IDS engine. Enable Bro network analysis framework. Enable Bro. Enable the executable file extraction feature of Bro. This feature helps a lot to identify malware. Enable exe extraction. Disable bro httpagent to save resources if your are goingto use ELSA. Disable httpagent. Enable argus session management. Enable Argus. Disable  Prads asset management aas we are using Bros conn. Disable Pradis. Enable full packet capture, this is strongly recommended unless denied by disk limitations. Enable full packet capture. Specify the maximum pcap file size in megabytes. This will dpend on  your needs and disk availability but something between 1. Set pcap file size. Enable mmap IO for pcap files on netsniff ng for best performance if you have a reasonable amount of memory. Enable mmap on netsniff ng. Set the minimum space available on the disk to start purging  pcap files. Disk free space. Disable Salt configuration management system unless you are going to run more nodes. Disable Salt. Enable ELSA log framework. Enable ELSAConclusion. You are done, Security Onion must be working at this point. You can start using the tools to inspect your environment now. Here are some screenshots. Sguil on alert generated by a request to testmyids. Network Miner. Sguil and Network. Miner. Squert view on the same event. Squert GPL attack. ELSA search relative to the event. ELSA GPL attack event. The event above can be analyzed in many other ways on different Security Onion tools, we can go from a simple alert to the very instructions within some malware, it will depend on the incident. This is not the case here, maybe on posts to come we dig deeper on malware forensics or other uses for the security onion tools.