instapaper-saves.py

import re
import pandas as pd

# Specify the path to your HTML file
html_file_path = 'instapaper-export.html'

# Read the HTML content from the file
with open(html_file_path, 'r', encoding='utf-8') as file:
    html_content = file.read()

# Define regular expression patterns
url_pattern = r'<a href="([^"]+)">([^<]+)<\/a>'

# Find matches for URLs and titles
url_matches = re.findall(url_pattern, html_content)

# Create a list of dictionaries with the extracted data
data = [{'URL': match[0], 'Title': match[1], 'Website Title': match[0].split('//')[1].split('/')[0]} for match in url_matches]

# Create a Pandas DataFrame
df = pd.DataFrame(data)

# Remove "www" and ".com" if they exist in the "Website Title" column
df['Website Title'] = df['Website Title'].str.replace('www.', '').str.replace('.com', '')

# Send the DataFrame to csv
df.to_csv('instapaper_urls.csv')