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Source Code:
import datetime
import pandas as pd # pip install pandas
import requests # pip install requests
from bs4 import BeautifulSoup # pip install beautifulsoup4
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:87.0) Gecko/20100101 Firefox/87.0',
}
url = 'https://www.marketwatch.com/tools/earningscalendar'
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.content, 'html.parser')
tabpane = soup.find('div', 'tabpane')
earning_tables = tabpane.find_all('div', {'id': True})
dfs = {}
current_datetime = datetime.datetime.now().strftime('%m-%d-%y %H_%M_%S')
xlsxwriter = pd.ExcelWriter('Earning Calendar ({0}).xlsx'.format(current_datetime), index=False)
for earning_table in earning_tables:
if not 'Sorry, this date currently does not have any earnings announcements scheduled' in earning_table.text:
earning_date = earning_table['id'].replace('page', '')
earning_date = earning_date[:3] + '_' + earning_date[3:]
print(earning_date)
dfs[earning_date] = pd.read_html(str(earning_table.table))[0]
dfs[earning_date].to_excel(xlsxwriter, sheet_name=earning_date, index=False)
xlsxwriter.save()
print('earning tables Excel file exported')
