![]() We also want to rename the other columns remaining accordingly, so let’s change them to Faculty_name and Contact_info.Let’s do the same thing with column three because we are not interested in getting their positions and specialties for this example. The first column is empty because we have selected the photo and scraper recognizes that as an element, however, images are not included in the scraping process, so we can remove it using the red (-) icon and click on scrape to see the change.There is a bit of data cleaning we might want to do prior to that, though. This should select only the fourth element of the table.īut in this case, we don’t need to fiddle with the XPath queries too much, as Scraper was able to deduce them for us, and we can copy the data output to the clipboard and past it into a text document or a spreadsheet. Remember: defines a row in a table and defines a data cell in a table ![]() In fact, we can try out that query using the technique that we learned in the previous section by typing the following in the browser console: Tip: Use the following shortcuts to Open Console Panel: The Selector (highlighted in blue in the above screenshot) has been set to //tr which selects all the rows of the table, delimiting the data we want to extract. We can notice that Scraper has generated XPath queries that correspond to the data we had selected upon calling it. Make sure you do not right-click on a hyperlinked text.Īlternatively, the “Scrape similar” option can also be accessed from the Scraper extension icon:Įither operation will bring up the Scraper window: With the extension installed, we can select the first row in the faculty list, do a right-click and choose “Scrape similar” from the contextual menu. We are interested in downloading the list of faculty names and their email addresses. We are interested in scraping contact information from faculty within these departments with the help of Xpath and Scraper.įirst, let’s focus our attention on the East Asian Languages and Cultural Studies webpage. If you haven’t it installed in your machine, please refer to the Setup instructions.įor this lesson, we will be using two UCSB department webpages: East Asian Languages and Cultural Studies and Jewish Studies. ![]() ![]() Now we are finally ready to do some web scraping using Scraper Chrome extension. Use XPath queries to refine what needs to be scraped when data is less structured. Practice scraping data that is well structured. ![]()
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