scrap.py

import requests
from bs4 import BeautifulSoup

url_source = 'https://www.monster.com/jobs/search/?q=Software-Developer&where=Australia'

# url_source = 'https://www.jobstreet.co.id/id/job-search/job-vacancy.php?key=python%2C+django&area=1&location=30500&experience-min=-1&experience-max=-1&salary-option=on&job-posted=0&src=1&ojs=4'

# url_karir = 'https://www.karir.com/search?q=developer&sort_order=urgent_job&job_function_ids=&industry_ids=&degree_ids=&major_ids=&location_ids=&location_id=&location=&salary_lower=0&salary_upper=100000000&page=0&grid=list'

page = requests.get(url_source)

bs = BeautifulSoup(page.content, 'html.parser')

# get element by id
results = bs.find(id="ResultsContainer")
all_positions = results.find_all('section', class_='card-content')

print(results.prettify())

for available_position in all_positions:
	print(all_positions, end='\n' *2)

for available_position in all_positions:
	title = available_position.find('h2', class_='title')
	company = available_position.find('div', class_='company')
	location = available_position.find('div', class_='location')
	#print(title, company, location, ())
	if None in (title, company, location):
		continue
	print(title.text.strip())
	print(company.text.strip())
	print(location.text.strip())
	print()

# python_jobs = results.find_all('h2', string='Python Developer')
python_dev = results.find_all('h2', string=lambda text: 'python' in text.lower())
print(len(python_dev))