{{ app_name | capfirst }} Crawler

Title:

Subtitle:

Context

Motivation.

Acknowledges

Resources:

• Subirats, L., Calvo, M. (2018). Web Scraping. Editorial UOC.

• Lawson, R. (2015). Web Scraping with Python. Packt Publishing Ltd. Chapter 2. Scraping the Data.

• ....

License

This software has been licensed under CC BY-SA 4.0.

With this license you are free to:

• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material for any purpose, even commercially.

With the following conditions:

• Attribution: you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

• ShareAlike: if you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

Code

The crawler code is inside the implementation of the Crawler class at {{ app_name | lower }}.crawlers.{{ app_name | capfirst }}Crawler.

crawl.py: is the main function of the crawler.

The utils.py contains some utility methods to manage the control files and date time objects.

...

Installation

To run the crawler we will need to install the PhantomJS library.

• In MacOS we can use brew to install it: brew install phantomjs

• In this page we can also found the installers for all the platforms.

We will need to remember the installation folder because a reference to the ..../bin/phantomjs folder will be needed.

The crawler is implemented for Python 3.7. Then we will need a 3.7 environment ready to install the dependencies.

We can use Anaconda to manage the environment. Once Anaconda is present in our system, we can do the following steps:

$ conda create -n bovespa_crawler python=3.7
$ conda activate bovespa_crawler
$ python setup install

We need to install GDAL library for Spatial queries (in Sierra MAC OSX or above):

$ sudo chown -R $(whoami) $(brew --prefix)/*
$ sudo install -d -o $(whoami) -g admin /usr/local/Frameworks
$ brew install gdal

Now the crawler should be ready to run.

Run the crawler

To run the crawler we only need to run the crawl.py script. The crawler can be invoked using the following config parameters:

Arguments:

• --phantomjs-path: The path where we can found the PanthomJS library installed. Default: None. Ex: "/phantomjs-2.1.1-macosx/bin/phantomjs".

• --from-date: Extract only the data after an specific date. Default: None. Ex: "2018-01-01".

• --cache-folder: The folder we want to use to save the downloaded files. Default: ./crawler_cache. Ex: /data/crawlers/bovespa.

• --workers-num: The number of parallel threads crawling. Default: 10. Ex: 20.

Examples:

• Crawl all the resources using 5 parallel processes

python crawl.py {{ app_name | lower }} \
    --phantomjs-path "/phantomjs-2.1.1-macosx/bin/phantomjs" \
    --workers-num 5 \
    --io-gs-project centering-badge-212119 \
    --cache-dir "gs://davinci_crawler_{{ app_name | lower }}" \
    --local-dir "fs:///data/davinci_crawler_{{ app_name | lower }}/local"

Run the tests

To run the tests we only need to run the following instruction:

$ python manage.py test --testrunner=caravaggio_rest_api.testrunner.TestRunner {{ app_name | lower }}/tests

The output will be something like:

Creating test database for alias 'default'...
Creating test database for alias 'cassandra'...
Creating keyspace test_apian [CONNECTION cassandra] ..
Syncing {{ app_name | lower }}.models.{{ app_name | capfirst }}Resource
System check identified no issues (0 silenced).
...
...

Avoid the destruction of the database after the tests have finished and the indexes synchronization:

$ python manage.py test --testrunner=caravaggio_rest_api.testrunner.TestRunner --keepdb --keep-indexes {{ app_name | lower }}/tests

NOTE: you should create the index once at least.