scraperapikerins

#dependencies
import requests
from bs4 import BeautifulSoup
import json
  
url = 'http://api.scraperapi.com?api_key=51e43be283e4db2a5afbxxxxxxxxxxx&url=https://datatables.net/examples/styling/stripe.html'
  
#empty array
employee_list = []
  

scraperapikerins

with open('json_data', 'w') as json_file:
   json.dump(employee_list, json_file, indent=2)

scraperapikerins

employee_list.append({
    'Name': name,
    'Position': position,
    'Office': office,
    'Age': age,
    'Start date': start_date,
    'salary': salary
})

scraperapikerins

position = row.find_all('td')[1].text
office = row.find_all('td')[2].text
age = row.find_all('td')[3].text
start_date = row.find_all('td')[4].text
salary = row.find_all('td')[5].text

scraperapikerins

for row in rows:
    name = row.find_all('td')[0].text
    print(name)

scraperapikerins

document.querySelectorAll('table.stripe > tbody > tr > td')[0]

scraperapikerins

for employee_data in table.find_all('tbody'):
   rows = employee_data.find_all('tr')
   print(rows)

scraperapikerins

table = soup.find('table', class_ = 'stripe')
print(table)

scraperapikerins

	soup = BeautifulSoup(response.text, 'html.parser')

scraperapikerins

import requests
from bs4 import BeautifulSoup
  
url = 'http://api.scraperapi.com?api_key=51e43be283e4db2a5afbxxxxxxxxxxxx&url=https://datatables.net/examples/styling/stripe.html'
  
response = requests.get(url)
  
print(response.status_code)