If you've never scraped data before, these general recommendations will help you get started:

1. Confirm the website permits scraping. Some ways to confirm:
   • Review the site's terms of use.
   • Check the site's robots.txt file (e.g.: https://www.library.upenn.edu/robots.txt).
   • Contact the site's owner/operator and request permission for your research.
2. If you're permitted to scrape, choose a tool for the task:
   • Mozenda: Wharton offers this graphical tool for researchers with a budget.
   • Python: Code a solution using what may be today's most common web-scraping toolkit. Try Penn Libraries' introduction to the BeautifulSoup package. Or search the library catalog for "web scraping" python to find books, videos, and more.
   • R: Already coding in R? Search the library catalog for "web scraping" r to access resources about scraping in this statistical programming language.