This file will scrape data from Amazon and Rakuten using a user generated input, and gather the top 10 search results and organize the data into a bar graph.
Step 1 pip install to requirements.txt. Create config file.
Step2 Run the code using Python3 in your terminal/command line, or whatever else you use (i.e. 'python3 main.py')! So long as you have all the libraries installed (refer to requirements.txt), and config file code should run without a problem.
To run the code you must have a few of these configured:
Config File
Type in your postgres username as "db_user = 'yourUserName'". Likewise, insert your password to the database as "db_password = 'yourPassWord'". Also add the two database names (instructions below).
Database
Create one called "umich_jobs" and label it as "db_name_umich". Create another called "indeed_jobs" and assign the variable "db_name_indeed" to it. Throw these into the config file as well.
When the code runs, it will scrape 50 job postings from the umich career website, and indeed. Once this is done, the data is organized into a list of dictionaries, so that inputting it into the database follows the form: ({dict1},{dict2},...).
The data is visuallized using matplotlib.pyplot. Expect to see a bar graph representing umich jobs and indeed jobs.
Test suite focuses on making sure functions and Classes do its job.
Database coding borrowed heavily from pgexample_multiplerows_byname.py, from lecture