Scraping data from PDF using R












2















I'd like to extract data (ski jumpping) from this PDF http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf



I'm interested in every data except bib, club and date of birth



I was trying with pdftools library



pdf_text("raw/data.pdf") %>% strsplit(split = "n")


and I stuck here. The problem is that column points (gate compensation) sometimes is empty and sometimes it's not. I don't know how to handle that.



My desired output is something like that:



Rank|Athlete       |Nation|(...)|Jump_1|Round_1|Jump_2|Round_2|Tot_points
1 |KLIMOV Evgeniy|RUS |(...)|127.5 |130 |131.5 |133.4 |263.4


Anyone may help me?










share|improve this question



























    2















    I'd like to extract data (ski jumpping) from this PDF http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf



    I'm interested in every data except bib, club and date of birth



    I was trying with pdftools library



    pdf_text("raw/data.pdf") %>% strsplit(split = "n")


    and I stuck here. The problem is that column points (gate compensation) sometimes is empty and sometimes it's not. I don't know how to handle that.



    My desired output is something like that:



    Rank|Athlete       |Nation|(...)|Jump_1|Round_1|Jump_2|Round_2|Tot_points
    1 |KLIMOV Evgeniy|RUS |(...)|127.5 |130 |131.5 |133.4 |263.4


    Anyone may help me?










    share|improve this question

























      2












      2








      2








      I'd like to extract data (ski jumpping) from this PDF http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf



      I'm interested in every data except bib, club and date of birth



      I was trying with pdftools library



      pdf_text("raw/data.pdf") %>% strsplit(split = "n")


      and I stuck here. The problem is that column points (gate compensation) sometimes is empty and sometimes it's not. I don't know how to handle that.



      My desired output is something like that:



      Rank|Athlete       |Nation|(...)|Jump_1|Round_1|Jump_2|Round_2|Tot_points
      1 |KLIMOV Evgeniy|RUS |(...)|127.5 |130 |131.5 |133.4 |263.4


      Anyone may help me?










      share|improve this question














      I'd like to extract data (ski jumpping) from this PDF http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf



      I'm interested in every data except bib, club and date of birth



      I was trying with pdftools library



      pdf_text("raw/data.pdf") %>% strsplit(split = "n")


      and I stuck here. The problem is that column points (gate compensation) sometimes is empty and sometimes it's not. I don't know how to handle that.



      My desired output is something like that:



      Rank|Athlete       |Nation|(...)|Jump_1|Round_1|Jump_2|Round_2|Tot_points
      1 |KLIMOV Evgeniy|RUS |(...)|127.5 |130 |131.5 |133.4 |263.4


      Anyone may help me?







      r pdf web-scraping screen-scraping






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 19 '18 at 23:14









      amikomaamikoma

      3529




      3529
























          1 Answer
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          2














          Check this out:



          library(tidyverse)
          text<-pdftools::pdf_text("http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf")

          list<-str_remove_all(text,"\X+?TOTAL\s+RANKn") %>%
          str_trim() %>%
          str_split("n\s{10,}(?=\p{L})") %>%
          modify_depth(1,~str_split(.x,"\s{2,}") %>%
          map(~.x[1:13] %>%
          set_names(paste0("x",1:13)))
          )
          ## Just the first page
          df<-bind_rows(!!!list[[1]])


          It's not a definitive solution, but it's some progress.






          share|improve this answer

























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            1 Answer
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            1 Answer
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            active

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            active

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            active

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            2














            Check this out:



            library(tidyverse)
            text<-pdftools::pdf_text("http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf")

            list<-str_remove_all(text,"\X+?TOTAL\s+RANKn") %>%
            str_trim() %>%
            str_split("n\s{10,}(?=\p{L})") %>%
            modify_depth(1,~str_split(.x,"\s{2,}") %>%
            map(~.x[1:13] %>%
            set_names(paste0("x",1:13)))
            )
            ## Just the first page
            df<-bind_rows(!!!list[[1]])


            It's not a definitive solution, but it's some progress.






            share|improve this answer






























              2














              Check this out:



              library(tidyverse)
              text<-pdftools::pdf_text("http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf")

              list<-str_remove_all(text,"\X+?TOTAL\s+RANKn") %>%
              str_trim() %>%
              str_split("n\s{10,}(?=\p{L})") %>%
              modify_depth(1,~str_split(.x,"\s{2,}") %>%
              map(~.x[1:13] %>%
              set_names(paste0("x",1:13)))
              )
              ## Just the first page
              df<-bind_rows(!!!list[[1]])


              It's not a definitive solution, but it's some progress.






              share|improve this answer




























                2












                2








                2







                Check this out:



                library(tidyverse)
                text<-pdftools::pdf_text("http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf")

                list<-str_remove_all(text,"\X+?TOTAL\s+RANKn") %>%
                str_trim() %>%
                str_split("n\s{10,}(?=\p{L})") %>%
                modify_depth(1,~str_split(.x,"\s{2,}") %>%
                map(~.x[1:13] %>%
                set_names(paste0("x",1:13)))
                )
                ## Just the first page
                df<-bind_rows(!!!list[[1]])


                It's not a definitive solution, but it's some progress.






                share|improve this answer















                Check this out:



                library(tidyverse)
                text<-pdftools::pdf_text("http://medias4.fis-ski.com/pdf/2019/JP/3088/2019JP3088RL.pdf")

                list<-str_remove_all(text,"\X+?TOTAL\s+RANKn") %>%
                str_trim() %>%
                str_split("n\s{10,}(?=\p{L})") %>%
                modify_depth(1,~str_split(.x,"\s{2,}") %>%
                map(~.x[1:13] %>%
                set_names(paste0("x",1:13)))
                )
                ## Just the first page
                df<-bind_rows(!!!list[[1]])


                It's not a definitive solution, but it's some progress.







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Nov 20 '18 at 0:54

























                answered Nov 20 '18 at 0:40









                JoséJosé

                516815




                516815






























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