import pandas as pd
# Read HTML content (assuming it contains a table)
html_content = """
| Column1 |
Column2 |
Column3 |
| Value1 |
Value2 |
Value3 |
| ValueA |
ValueB |
ValueC |
"""
# Parse HTML table into a DataFrame
dfs = pd.read_html(html_content)
df = dfs[0] # Assuming the first table is the one we need
# Save DataFrame to Excel
output_path = "output.xlsx"
df.to_excel(output_path, index=False)
print(f"File saved as {output_path}")