Diário Oficial is the Brazilian government gazette, one of the best places to know the latest actions of the public administration, with distinct publications in the federal, state and municipal levels.

Even with recurrent efforts of enforcing the Freedom of Information legislation across the country, official communication remains - in most of the territories - in PDFs.

The goal of this project is to upgrade Diário Oficial to the digital age, centralizing information currently only available through separate sources.

When this project was initially released, had two distinct goals: creating crawlers for governments gazettes and parsing bidding exemptions from them. Now going forward, it is limited to the first objective.

• Development environment
  • Run Gazette Crawler
• Contributing
• Acknowledgments

The best way to understand how Querido Diário works, is getting the source and run it locally. All crawlers are developed using Scrapy framework. They provide a tutorial so you can learn to use it.

If you are in a Windows computer, before you run the steps below you will need Microsoft Visual Build Tools (download here). When you start the installation you need to select 'C++ build tools' on Workload tab and also 'Windows 10 SDK' and 'MSVC v142 - VS 2019 C++ x64/x86 build tools' on Individual Components tab.

If you are in a Linux-like environment, the following commands will create a new virtual environment - that will keep everything isolated from your system - activate it and install all libraries needed to start running and developing new spiders.

$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip install -r data_collection/requirements.txt
$ pre-commit install

In a Windows computer, you can use the code above. You just need to substitute source .venv/bin/activate for .venv/Scripts/activate.bat. The rest is the same as in Linux.

After configuring your environment, you will be able to execute and develop new spiders. The Scrapy project is in data_collection directory, so you must enter in to execute the spiders and the scrapy command:

$ cd data_collection

Following we list some helpful commands.

Get list of all available spiders:

$ scrapy list

Execute spider with name spider_name:

$ scrapy crawl spider_name

You can limit the gazettes you want to download passing start_date as argument with YYYY-MM-DD format. The following command will download only gazettes which date is greater than 01/Sep/2020:

$ scrapy crawl sc_florianopolis -a start_date=2020-09-01

While running pip install command, you can get an error like below:

module.c:1:10: fatal error: Python.h: No such file or directory
     #include <Python.h>
              ^~~~~~~~~~
    compilation terminated.
    error: command 'x86_64-linux-gnu-gcc' failed with exit status 1

Please try to install python3-dev. E.g. via apt install python3-dev, if you is using a Debian-like distro, or use your distro manager package. Make sure that you use the correct version (e.g. python3.6-dev or python3.7-dev). You can check your version via python3 --version.

If you are interested in fixing issues and contributing directly to the code base, please see the document CONTRIBUTING.md.

This project is maintained by Open Knowledge Foundation Brasil, thanks to the support of Digital Ocean and hundreds of other names.