That indeed was the most efficient solution. Thank you! On Tue, Jan 24, 2023 at 1:45 PM Barry Rowlingson <b.rowling...@gmail.com> wrote:
> Are you asking if there's a way to automate the download of a list of > links from that page? You could write an R script to get the HTML, then > find all the HTML <A> tags, and then get the URLs in the link addresses, > and there's packages for doing this kind of web scraping. > > But for this kind of thing it might be easier to use a web browser add-on > - I have "Down Them All" set up on Firefox, and with a click or two I can > get a list of all the link URLs and hit a button that downloads everything > to a single folder. Once done, I can use standard R functions to list all > the downloaded files and read them. Took about 20 seconds to do for this > page, and now I have a folder of 292 .tmp.per files. > > Barry > > > On Tue, Jan 24, 2023 at 11:13 AM Miluji Sb <miluj...@gmail.com> wrote: > >> Greetings everyone, >> >> I have a question on extracting country-level data from CRU ( >> >> https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.06/crucy.2205251923.v4.06/countries/tmp/ >> ). >> The data for each variable are available for individual countries and I am >> struggling to download all of them. Can I extract all the files in R then >> merge? Thanks so much. >> >> Best, >> >> Milu >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> R-sig-Geo mailing list >> R-sig-Geo@r-project.org >> https://stat.ethz.ch/mailman/listinfo/r-sig-geo >> > [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
