Collection of scripts that help to get an average salary for some programming languages based on vacancy descriptions from SuperJob.ru.
First, install additional modules to run the scripts:
$ pip install -r requirements.txt
Second, obtain SuperJob API secret key for your application by registering it here. Assign the key to the environment variable SUPERJOB_SECRET_KEY.
For a quickstart, just run
$ python3 fetch.py | python3 trim.py | python3 rate.py | less
which will output the number of job openings and average salary for each programming language.
Each script can be used on its own. For a complete description of script options, use -h switch.
Allows the user to download an arbitrary number of job openings from "Programming and development" catalogue and save it into a file in JSON format. As an example, the following will download 500 vacancies and save them to output.json:
$ python3 fetch.py --top 500 -o vacancies.json
The script takes a JSON file, expecting it to be similar to the one produced by fetch.py. Then it strips all irrelevant job description, leaving only requirements, salary and the title, and writes it back to a JSON file. Example usage:
$ python3 trim.py -i vacancies.json -o trimmed_vacancies.json
Finally, this script takes a JSON file produced by trim.py and outputs the number of job openings and average salary for each programming language in its list. The list of programming languages is stored directly in the source code for the sake of simplicity. Example usage:
$ python3 rate.py -i trimmed_vacancies.json -o rated_languages.txt -g
The -g option tells the script to draw a histogram representing the data written to rated_languages.txt:
This is a homework assignment for the styleru_py course.