Parse out 24 hours hash rate & shares from Ocean.xyz

ocean_24hours.py

from bs4 import BeautifulSoup

...

# Use Beautiful Soup to parse the HTML
soup = BeautifulSoup(html_content, 'html.parser')

# Find the table body
table_body = soup.find('tbody', id='hashrates-tablerows')

# Initialize variables to hold your data
hashrate_average = ''
accepted_shares = ''

# Iterate through each row in the table body
for row in table_body.find_all('tr', class_='table-row'):
    # Check if the first cell contains '24 hrs'
    if row.find('td', class_='table-cell').text.strip() == '24 hrs':
        # Extract the hashrate average and accepted shares
        cells = row.find_all('td', class_='table-cell')
        hashrate_average = cells[1].text.strip()
        accepted_shares = cells[2].text.strip()
        break  # Exit the loop since we found the desired row

# Display the extracted data
print(f"Hashrate Average: {hashrate_average}")
print(f"Accepted Shares: {accepted_shares}")