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WEBSCRAPER SCRAPER WINDOW CLOSED DOWNLOAD DATA HOW TO
WEBSCRAPER SCRAPER WINDOW CLOSED DOWNLOAD DATA CODE
WEBSCRAPER SCRAPER WINDOW CLOSED DOWNLOAD DATA DOWNLOAD

This mapping allows files to be downloaded to Selenium’s default folder, /home/seluser/Downloads, which will be accessible for the user at C:/Users/USERNAME/Downloads/Selenium-Downloads.

WEBSCRAPER SCRAPER WINDOW CLOSED DOWNLOAD DATA DOWNLOAD

Map the virtual server’s download folder, /home/seluser/Downloads, to the host computer’s download folder, ~/Downloads/Selenium-Downloads, where ~ refers to C:/Users/USERNAME and USERNAME is the username of the current user on the Windows system.

In R, we will connect to localhost (host computer) on port 4445, which will connect to the virtual server on port 4444.

Forward port 44 on the virtual server to ports 44, respectively, on the host computer (the user’s computer).

selenium/standalone-firefox:2.53.0 is the application to run.

docker run is the command to run an application.

The previous command has a few parameters worth noting: In the next section, we’ll put this strategy into action with R and RSelenium.ĭocker run -d -v ~/Downloads/Selenium-Downloads/://home/seluser/Downloads -p 4445:4444 -p 5901:5900 selenium/standalone-firefox:2.53.0

Visit the URL’s generated in the previous step to download the many excel files.

In R, construct the various URL’s of interest based on the previous list.

Obtain the list of college ID’s from here, and make it accessible in R.

A general webscraping strategy is as follows: Based on the previous exploration, one could download the files by repeatedly visiting the URL, where we change YYY to be various college codes.

Now, recall the goal is to download the aforementioned excel file for all colleges.

The button has the URL, and clicking it downloads a file named 892_FiveYear.xlsx.

To download the data file, scroll to the bottom, and notice the Five Year download button, as seen below.

A list of the district/college codes can be found here.

WEBSCRAPER SCRAPER WINDOW CLOSED DOWNLOAD DATA CODE

For those not familiar, this is the district/college code assigned to IVC by the state, as used in all MIS data submissions. Irvine Valley College (IVC) has CollegeID=892 in this URL. The browser should take the visitor to the following page: We’ll select Irvine Valley College for illustration. On the Scorecard site, select one college. That is, the goal is to download the data provided for each college present in the college dropdown, as shown here:īefore going into technical details, let’s first explore the site and formulate a strategy.

WEBSCRAPER SCRAPER WINDOW CLOSED DOWNLOAD DATA HOW TO

In this example, we illustrate how to download each college’s data file on the CCC Scorecard. Learning how to webscrape using RSelenium allows one to download data from nearly all sites. However, this vignette focuses on the more complicated RSelenium package because it supports pages that utilize javascript ( rvest does not support this), which is quite common on many websites. In R, the easiest way to webscrape data is via the rvest package, which allows one to webscrape html pages. The payoff is especially worthwhile if the download process involves a lot of files at each run (e.g., 116 files, one for each CCC, or lots of iterations based on various dropdown menus) or if the process is recurring (e.g., weekly).

Although initially effortful, scripting the download process allows one to re-run the download process at future dates with minimal effort. Think of webscraping as launching a web browser that one could navigate and command using a set of instructions (code) instead of manually moving the mouse/trackpad and clicking on links/buttons. In this vignette, we illustrate how to leverage R to webscrape (automatically download) online data files. For example, achievement data could be downloaded for all colleges in order for an institution to benchmark itself against other institutions as this view is not offered online. These external data sources provide rich and useful information via their online interfaces, but sometimes there may be a need to download the raw data files for the information to be presented in a different manner, combined with other sources, or analyzed further. In addition, they may be interested in data provided by the California State University (CSU e.g., the CSU admissions dashboard) or the University of California (UC e.g., the UC admissions dashboard). For example, IR professionals in the California Community College (CCC) system may be interested in data provided by the state’s Chancellor’s Office (CO) such as those on the Student Success Metrics (SSM), Data Mart, Scorecard, or Launchboard. Institutional research (IR) professionals often times rely on external sources of data in addition to internal data.