I was participating in a project to improve operations through RPA ... The RPA tool was ** too expensive (7.2 million yen / year) **, so I replaced it with python. It is a summary of the work at that time.

Requirements

Overview

--Log in to a certain site, download the search results with specific word, and get the data. --The specific word that becomes the INPUT is placed on Amazon S3 every day. --The OUTPUT is to format the acquired data and place it in another position on S3. ――In addition, we have contacted the company of the site and obtained permission for scraping.

Difficulty

--ReCAPTCHA is installed in that specific site when you log in (!) --AnglarJS is used on that particular site --You have to click to download --You have to be able to do it every day

Technology selection

When I wrote only the conclusion (although I made a lot of trial and error), it became as follows. It was quite difficult ...

--Get data using python selenium --Break through reCAPTCHA using a service called "2captcha" --Docker containerization. Launch a virtual display using Xvfb and run the app --Launch daily using AWS batch

Story

We developed it according to the following flow.

Build python environment
Create a site scraping mechanism
Process the downloaded file (xls) to create the final product (csv)
Create a file download from S3 / file upload to S3 5.2 Implemented captcha
Allow it to start in a Docker container
Register for AWS batch

I think I will divide Qiita on each page.

1. Environment construction

First, build a normal python environment!

This time we will use python3.6.3. The terminal is the default bash. Considering that I want to use multiple versions of python in the future, I will create a dedicated python environment using pyenv and pyenv-virtualenv.

Install pyenv

git clone https://github.com/pyenv/pyenv.git ~/.pyenv
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bash_profile
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bash_profile
echo -e 'if command -v pyenv 1>/dev/null 2>&1; then\n  eval "$(pyenv init -)"\nfi' >> ~/.bash_profile

Then install python3.6

pyenv install 3.6.3

Install pyenv-virtualenv

I'm not sure if it's needed, but someone said it's good, so I'll include pyenv-virtualenv as well.

git clone https://github.com/pyenv/pyenv-virtualenv.git $(pyenv root)/plugins/pyenv-virtualenv
echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.bash_profile

And create a virtualenv for this time.

pyenv virtualenv 3.6.3 myproject

Creating a directory

Prepare the directory to be used for this project. (Although I actually changed this through trial and error)

mkdir myproject
cd myproject
pyenv local myproject

Under this myproject, prepare folders and files as shown below.

├── app
│ ├── drivers selenium put drivers
│   └── source           
│       └── scraping.py processing
└── tmp
    ├── files
│ └── download Place the file downloaded by scraping
└── logs logs(selenium log etc.)

Click here for more information. https://qiita.com/kamyu1201@github/items/a07c7d175c051b8ab4c0

[DOCKER] Automatic scraping of reCAPTCHA site every day (1/7: python environment construction)