Convert Csv To Vcf: Python

# Column mapping (customize based on your CSV structure) column_mapping = { 'full_name': ['Name', 'Full Name', 'FN', 'Fullname'], 'first_name': ['First Name', 'FirstName', 'Given Name'], 'last_name': ['Last Name', 'LastName', 'Family Name'], 'phone': ['Phone', 'Mobile', 'Phone Number', 'Tel'], 'phone_home': ['Home Phone', 'Phone (Home)'], 'phone_work': ['Work Phone', 'Phone (Work)'], 'email': ['Email', 'E-mail', 'Email Address'], 'email_home': ['Home Email'], 'email_work': ['Work Email'], 'address': ['Address', 'Street', 'Address (Home)'], 'address_work': ['Work Address', 'Business Address'], 'city': ['City', 'Town'], 'state': ['State', 'Province'], 'zip': ['ZIP', 'Postal Code', 'Zip Code'], 'country': ['Country'], 'company': ['Company', 'Organization', 'Org'], 'title': ['Title', 'Job Title', 'Position'], 'website': ['Website', 'URL', 'Web'], 'birthday': ['Birthday', 'Bday', 'Date of Birth'], 'notes': ['Notes', 'Comments', 'Description'] }

Args: csv_file: Input CSV file path vcf_file: Output VCF file path encoding: File encoding (default: utf-8) delimiter: CSV delimiter (default: ',') """ convert csv to vcf python

with open(csv_file, 'r', encoding=encoding) as csv_file_handle: reader = csv.DictReader(csv_file_handle) with open(vcf_file, 'w', encoding='utf-8') as vcf_file_handle: for row in reader: # Start vCard vcf_file_handle.write('BEGIN:VCARD\n') vcf_file_handle.write('VERSION:3.0\n') # Name (FN: Full Name) if 'Name' in row and row['Name']: vcf_file_handle.write(f'FN:{row["Name"]}\n') # Split name for structured format name_parts = row['Name'].split(maxsplit=1) last_name = name_parts[-1] if name_parts else '' first_name = name_parts[0] if len(name_parts) > 0 else '' vcf_file_handle.write(f'N:{last_name};{first_name};;;\n') # Phone numbers for phone_field in ['Phone', 'Mobile', 'Work Phone', 'Home Phone']: if phone_field in row and row[phone_field]: phone_type = phone_field.replace(' ', '_').upper() vcf_file_handle.write(f'TEL;TYPE={phone_type}:{row[phone_field]}\n') # Email if 'Email' in row and row['Email']: vcf_file_handle.write(f'EMAIL:{row["Email"]}\n') # Address if 'Address' in row and row['Address']: vcf_file_handle.write(f'ADR;TYPE=WORK:;;{row["Address"]};;;\n') # Company/Organization if 'Company' in row and row['Company']: vcf_file_handle.write(f'ORG:{row["Company"]}\n') # Job Title if 'Title' in row and row['Title']: vcf_file_handle.write(f'TITLE:{row["Title"]}\n') # Website if 'Website' in row and row['Website']: vcf_file_handle.write(f'URL:{row["Website"]}\n') # Notes if 'Notes' in row and row['Notes']: vcf_file_handle.write(f'NOTE:{row["Notes"]}\n') # End vCard vcf_file_handle.write('END:VCARD\n') vcf_file_handle.write('\n') # Empty line between contacts csv_to_vcf('contacts.csv', 'contacts.vcf') Advanced Version with More Features import csv import re import sys from pathlib import Path def sanitize_text(text): """Clean text for vCard format""" if not text: return '' # Remove special characters that might break vCard text = str(text).replace('\n', '\n').replace('\r', '') return text.strip() # Column mapping (customize based on your CSV

import csv import sys def csv_to_vcf(csv_file, vcf_file, encoding='utf-8'): """ Convert CSV to VCF (vCard) format 'first_name': ['First Name'

return contacts_count if name == " main ": # Simple usage csv_to_vcf_advanced('contacts.csv', 'output.vcf')

print(f"✅ Successfully converted {contacts_count} contacts") print(f"📁 Output saved to: {vcf_file}")

Expected CSV columns: Name, Phone, Email, etc. """