The djt R package allows you to download and parse Brazilian DJTs
(Diários da Justiça do Trabalho). Its functions are simple and well documented,
supplying the user with a consistent and robust toolbox to explore these PDFs.
To install djt, run the code below:
# install.packages("devtools")
devtools::install_github("courtsbr/djt")Downloading DJTs is very simple. By using the download_djt() function
with its arguments, you can select a TRT (Tribunal Regional do Trabalho), a
booklet (caderno), and start and end dates to download all DJTs that fit the
specified filters.
# Download all TRT02 booklets from 2017-10-19
download_djt(trt = 2, path = "~/Desktop/djt_files", booklet = "all",
date_min = "2017-10-19", date_max = "2017-10-19")
#> # A tibble: 2 x 6
#> page id title date
#> <int> <int> <chr> <date>
#> 1 1 0 Edição 2337/2017 - Caderno do TRT da 2ª Região - Judiciário 2017-10-19
#> 2 1 1 Edição 2337/2017 - Caderno do TRT da 2ª Região - Administrativo 2017-10-19
#> # ... with 2 more variables: file <chr>, result <chr>After you have downloaded as many DJTs as you want, you can start parsing them.
Functions like pdf_to_text(), find_all(), chop_at(), and pre_process()
are your best tools for this step. If you want to find all lawsuits whose contents
match a certain pattern, you can use match_lawsuits() with a DJT that has been
converted to text:
# Get all lawsuits that contain "SANTANDER"
match_lawsuits(djt, "SANTANDER")
#> [1] "RTOrd-0001317-23.2015.5.02.0003"
#> [2] "RtSum-0001584-20.2006.5.02.0003"
#> [3] "ExFis-0000900-02.1993.5.02.0005"
#> [4] "RTOrd-0001064-63.2014.5.02.0005"
#> [5] "RTOrd-1000959-61.2017.5.02.0006"
#> ...
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