Extract Area around a matching string about tabulapdf HOT 3 OPEN

I tried using suggestion by @leeper on another thread by giving same page number three times and specifying the areas. The first two tables were extracted perfect, however the third table which was flowing into next page gave error

org_affiliates_3 <- as.data.frame(extract_tables(fn, pages = c(sel_page,sel_page,sel_page), area = c(list(c(top3,left3,bottom3,right3)),list(c(top3+194,left3,bottom3+194,right3)),list(c(top3+194+194,left3,bottom3+194+194,right3))), guess = FALSE, method = "data.frame"))

Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, :
arguments imply differing number of rows: 10, 6

Is there a way to just bypass the error, and extract only 6 rows for third table

from tabulapdf.

If you use a different methodargument, you should be able to get back a structure that isn't passed through data.frame(). You might try the method = "csv" option, which will just save a CSV locally (directly from the underlying Java code) or method = "character".

from tabulapdf.

Thankyou @leeper
I tried all the methods.. but none of them seem to work
extract_tables(fn, pages=7,package = "tabulizer",method = "csv")
[1] "C:\tabulizer\phd\Ind"
there is no file created in the folder

extract_tables(fn, pages=7,package = "tabulizer",method = "character")
list()
extract_tables(fn, pages=7,package = "tabulizer",method = "asis")
[1] "Java-Object{[]}"
extract_tables(fn, pages=7,package = "tabulizer",method = "tsv")
[1] "C:\tabulizer\phd\Ind" - No file created
extract_tables(fn, pages=7,package = "tabulizer",method = "json")
[1] "C:\tabulizer\phd\Ind"

from tabulapdf.