How to export Google Maps results to CSV

A CSV from a Maps extraction is only as good as its columns. A file with just a name and phone number is hard to work with; a file with address parts, category, website, contact evidence and provenance can go straight into a CRM or a territory analysis.

Gmap Data exports the full saved record with stable column names, so the same file shape works for a spreadsheet review today and a CRM import next month.

1. 1

   Save a search

   Run a Maps search and let the businesses land in your workspace. Deduplication by place id happens before saving.

2. 2

   Review and enrich

   Check the saved rows, then optionally run email discovery and provider enrichment so contact columns are populated.

3. 3

   Export CSV

   Download the CSV from the Businesses view, a run, or a project. The project export reads live contact evidence at export time.

4. 4

   Import and map

   Open the file in Excel or Google Sheets, or import it into your CRM and map the columns once.

• •Identity: name and place_id. Keep place_id as the stable external identifier for deduplication on import.
• •Location: address, address parts, city, state, postal code and country for filtering and territory reporting.
• •Contact surface: phone numbers and website. The website field is empty when the listing does not publish one.
• •Profile: categories, rating, review count, price level and business status for qualification.
• •Operations: hours and time zone for call timing.
• •Contacts: emails with source, quality class and deliverability evidence when enrichment has run.
• •Attribution: the trailing google_attribution cell on rows that contain Google-derived fields.

• •Open the file as UTF-8 so accented business names and addresses are not mangled.
• •Do not edit or reorder the header row if you plan to re-import or refresh the same file; stable headers are what keep mappings working.
• •Use place_id as the unique key where your CRM supports an external id, so a refresh updates instead of duplicating.
• •Split multi-value cells such as emails, phone numbers or categories only after import, so the source file stays canonical.
• •Treat empty cells as unknown, not as zero. A missing rating is not a zero rating.

• •Copying email addresses into a separate file and losing their source, quality class and verification status along the way.
• •Using an entire email list from a project without checking suppression and bounce state.
• •Removing the attribution column before sharing a Google-derived export.
• •Assuming a fresh export replaces an old one: a project export is a current read, while an old file is a snapshot in time.
• •Importing phone numbers as numbers rather than text, which drops leading zeros and country formatting.