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Web scraping 211: Rvest and RCrawler for R

Web scraping 211: Rvest and RCrawler for R

Programmatic tools like R make web scraping simpler and more transparent, and allow scaling to multiple pages using crawlers. Learn how to automate collection and extraction of data from multiple related webpages with R libraries Rvest and RCrawler and work with the extracted data. Participants need a computer with R and RStudio installed (directions will be sent after registration) as well as basic experience working with data in R and familiarity with XPath (equivalent to Web scraping 101) to fully participate. The workshop is adapted from episode 4 of the Library Carpentry Web Scraping curriculum.

If you are an individual with a disability and desire an accommodation, please email library-event-accessibility-g@vt.edu at least 10 business days prior to the event.

Date:
Thursday, November 17, 2022
Time:
2:30pm - 4:00pm
Location:
Torgersen 3310 Classroom
Campus:
Blacksburg Campus
Audience:
    Alumni       Beginners       Faculty/Staff       Graduate Students       Public       Undergraduates  
Categories:
    Workshop > Data Science       Workshop  

Registration is required. There are 9 in-person seats available. There are 8 online seats available.

Event Contact

Profile photo of Nathaniel Porter
Nathaniel Porter

Social Science Data Consultant and Data Education Coordinator