



from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

a_      :      Union[str, Any]    =     'https://www.indeed.co.in/jobs?q=mobile+app+development&l='






def     __a					(		__UpperCAmelCase = "mumbai"       ):
 a__												= BeautifulSoup(requests.get(url + location       ).content							,  '''html.parser'''       )
 # This attribute finds out all the specifics listed in a job
 for job in soup.find_all('''div'''							,  attrs={'''data-tn-component''': '''organicJob'''}       ):
  a__												= job.find('''a'''							,  attrs={'''data-tn-element''': '''jobTitle'''}       ).text.strip()
  a__												= job.find('''span'''							,  {'''class''': '''company'''}       ).text.strip()
  yield job_title, company_name


if __name__ == "__main__":
     for i, job in enumerate(fetch_jobs('Bangalore'), 1):
          print(f'Job {i:>2} is {job[0]} at {job[1]}')










import requests
from bsa import BeautifulSoup






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= BeautifulSoup(requests.get(__UpperCAmelCase							,  params=__UpperCAmelCase       ).content							,  '''html.parser'''       )
 a__												= soup.find('''div'''							,  attrs={'''class''': '''gs_ri'''}       )
 a__												= div.find('''div'''							,  attrs={'''class''': '''gs_fl'''}       ).find_all('''a'''       )
 return anchors[2].get_text()


if __name__ == "__main__":
     a_      :      Optional[Any]    =     {
         'title': (
             'Precisely geometry controlled microsupercapacitors for ultrahigh areal '
             'capacitance, volumetric capacitance, and energy density'
         ),
         'journal': 'Chem. Mater.',
         'volume': 30,
         'pages': '3979-3990',
         'year': 20_18,
         'hl': 'en',
     }
     print(get_citation('https://scholar.google.com/scholar_lookup', params=params))





