CSV, Excel or JSON: which lead export format should you use?

Use CSV when your destination asks for a CSV import, Excel when you want a workbook to review, and JSON when a script or another tool expects structured data. Map Business Data supports all three. Changing the format does not change which lead fields your plan includes or the credit cost of the same export selection.

A format is packaging, not enrichment. It does not add missing emails, identify decision-makers or turn a business record into a verified sales opportunity. Choose the records and columns first, then choose the format your next tool can accept.

CSV represents a table using text. It is useful when a destination explicitly supports CSV imports, but each destination has its own required columns and import rules. A supported file extension does not mean every exported column will automatically map to the right field.

Download the sample and test a small import first. Map business name to the organization field, keep location fields separate when supported, and check how multiple contact values are represented. If your CRM expects one email per row, decide how to handle a record containing several values before importing the full list.

Treat phone numbers and postal codes as text when importing into a spreadsheet. Letting the application guess their type can change leading zeros or how a plus sign is displayed. Use the import settings and verify representative rows rather than relying only on a double-click preview.

Choose Excel when someone will inspect and qualify the list in a spreadsheet before outreach. The export is an .xlsx workbook, not the older .xls format. Keep the downloaded copy unchanged and work in a separate copy if you plan to add notes or reorganize columns.

Add your own review columns such as owner, fit, reason to contact and next action. These are your team's notes, not facts supplied by the dataset. Check how your spreadsheet application displays contact values and non-English characters before sharing the working file.

A workbook is not a live connection. Changes to your local copy do not update Map Business Data, and a downloaded file does not refresh itself when the source dataset changes.

Choose JSON when the next tool or script expects JSON records. Inspect the sample for actual field names and value types before writing a transformation. Handle missing values explicitly and avoid assuming every record has one email, one phone or a website.

JSON export is a downloadable file, not a customer-facing API or a direct integration. Your own workflow is responsible for reading that file, transforming its values and passing them to the destination. Do not assume the JSON shape is identical to a flattened spreadsheet cell.

A few minutes with the sample can prevent a much larger cleanup later. Keep the original export so you can distinguish source data from changes made by your spreadsheet, importer or script. If a destination rejects the file, check its documented size and field limits before changing the data.