def build_payload(row): return "companyName": row.get("company"), "firstName": row.get("first_name"), "lastName": row.get("last_name"), "emailAddress": row.get("email"), "address": "street": row.get("street"), "zip": row.get("zip"), "city": row.get("city"), "countryCode": row.get("country", "DE") , "taxNumber": row.get("tax_id")
He tried a nightmare scenario: a PDF of a roaming invoice from a Dutch hosting provider. The document was a chaotic mess of currencies, tax IDs, and fine print. He dropped it in. lexoffice import
"I am an artist, not a data clerk," he muttered, then clicked . def build_payload(row): return "companyName": row
Over the next hour, Felix became a mad scientist. He scanned train tickets. He imported a CSV from his online shop (which previously required a blood sacrifice to format). He even uploaded a blurry photo of a restaurant bill taken at midnight—the AI read it perfectly, assigning the "Business Meals (70% deductible)" category. "I am an artist, not a data clerk,"
The story of Emma's team highlights the importance of:
def import_contacts(csv_path): contacts = read_csv(csv_path) headers = "Authorization": f"Bearer TOKEN", "Content-Type": "application/json"