README.md

In abjur/djt: A toolbox to download Brazilian DJTs

djt

Overview

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")

Usage

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"
#> ...

abjur/djt documentation built on May 10, 2019, 4:12 a.m.