import requests
import urllib
from bs4 import BeautifulSoup
import csv
from datetime import datetime
from multiprocessing import Pool

def get_html(url):
    response = urllib.request.urlopen(url)
    return response.read()

def parse(html):
    soup = BeautifulSoup(html, "lxml")
    table = soup.find('table', class_='l l_auto')

    vacancies = []

    for row in table.find_all('div', class_='search-result-description__item search-result-description__item_primary'):
    	cols = row.find_all('div', class_='search-result-item__head')

    	vacancies.append({
    		'title': cols[0].a.text,
        })

    for vacancy in vacancies:
    	print(vacancy)

    salaries = []

    for row in table.find_all('div', class_='search-result-description__item search-result-description__item_primary'):
        cols2 = row.find_all('div', class_='b-vacancy-list-salary')

        salaries.append({
            'categories': cols2[0].div.find_all('meta', class_='baseSalary')
        })

    for salary in salaries:
        print(salary)
        
def main():
    parse(get_html('https://jobs.tut.by/search/vacancy?text=%D0%9B%D0%BE%D0%B3%D0%B8%D1%81%D1%82&only_with_salary=false&area=16&enable_snippets=true&clusters=true&salary='))

if __name__ == '__main__':
    main()