Name,Phone,Email,Company,Title,Address,Notes John Doe,+1234567890,john@example.com,ACME Corp,Manager,123 Main St,Test contact Jane Smith,+1987654321,jane@example.com,Tech Inc,Developer,456 Oak Ave,Colleague import pandas as pd df = pd.read_csv('contacts.csv') with open('contacts.vcf', 'w') as f: for _, row in df.iterrows(): f.write(f"BEGIN:VCARD\nVERSION:3.0\nFN:{row['Name']}\nTEL:{row['Phone']}\nEMAIL:{row['Email']}\nEND:VCARD\n\n") Installation No external libraries needed for the basic version. For the advanced version, no additional packages are required either (uses only Python standard library).
def csv_to_vcf_advanced(csv_file, vcf_file, encoding='utf-8', delimiter=','): """ Advanced CSV to VCF converter with flexible column mapping convert csv to vcf python
return contacts_count if name == " main ": # Simple usage csv_to_vcf_advanced('contacts.csv', 'output.vcf') Notes John Doe
Args: csv_file: Input CSV file path vcf_file: Output VCF file path encoding: File encoding (default: utf-8) delimiter: CSV delimiter (default: ',') """ 123 Main St
print(f"✅ Successfully converted {contacts_count} contacts") print(f"📁 Output saved to: {vcf_file}")
import csv import sys def csv_to_vcf(csv_file, vcf_file, encoding='utf-8'): """ Convert CSV to VCF (vCard) format