Google Maps leads to Pipedrive Capture free, export, then import in minutes

Capture, export, import

Getting local business leads out of Google Maps and into Pipedrive is not a single tool problem. Google Maps has no export button, and Pipedrive expects clean, column-mapped data. The reliable path is three steps: capture the listings, export a structured file, and import that file as records in your pipeline.

The capture step is where most guides get stuck, because copying rows by hand does not scale. That is what the Vonsel Chrome extension handles for free: you search on Google Maps, the extension collects the name, address, phone, website, and more, and you export the batch in one click. From there Pipedrive does the rest.

This guide covers the no-code CSV route first (the one most people should use), then the automated Zapier and API options, and finally when it makes sense to skip the round trip entirely and keep leads inside a mapped CRM built for local prospecting.

Capture the leads and export a file

Open Google Maps and search the way a buyer would: a category plus a city, for example "dentists in Austin" or "roofers in Leeds". Scroll the results so the extension can read the listings, then export. You get one row per business with fields Pipedrive understands.

Export as CSV for the spreadsheet import, or JSON if you plan to feed an automation later. A typical capture includes the fields below, which map cleanly onto Pipedrive's person, organization, and deal objects.

Before you export, filter. Dropping listings with no phone or no website up front means you import a shorter, cleaner file and you never pay Pipedrive attention to dead rows. The extension lets you filter leads before export and choose the CSV or JSON format you want.

Import the CSV into Pipedrive (no API)

Pipedrive ships with a spreadsheet importer built for exactly this. In your account go to the leads or deals view, open the import tool, and upload the CSV you just exported. Pipedrive reads your header row and asks you to match each column to a field.

The mapping screen is the important part. Point Business name at Organization, Phone and Email at Person, and set a Deal name so every imported business becomes a live opportunity, not just a contact sitting in a list. Pipedrive can create the person, the organization, and the deal from a single row in one pass. The official Pipedrive import and data tools walk through the field matching in detail.

Two habits keep this clean. First, run a small test import (ten rows) before the full file so you can confirm the mapping. Second, dedupe your list before uploading, because Google Maps sometimes lists the same business under two categories. A clean list in means a clean pipeline out.

Automate it with Zapier or the API

The CSV path is perfect for batches. If you would rather have new captures flow in without touching a file, two automated options exist.

Zapier is the no-code choice. Put your exported rows into a Google Sheet, then use a Sheets to Pipedrive Zap so each new row creates a person, an organization, and a deal automatically. Pipedrive's Zapier integrations cover create, update, and search actions, so you can dedupe on the way in. If you prefer to build the plumbing once and forget it, the Pipedrive API accepts your JSON export directly and gives you full control over field mapping and pipeline stages.

For a wider look at connecting captured data to any pipeline without wiring an API yourself, see our guide on exporting Google Maps leads to any CRM without an API, or the sibling walkthrough for Google Maps leads to HubSpot.

Or skip the export: the Vonsel mapped CRM

Moving data to Pipedrive makes sense when Pipedrive is already your source of truth. But there is a reason many local sellers stop at the extension: the export is the means, and a CRM built for map-based prospecting is often the better end.

Inside the Vonsel dashboard your captures land on a mapped CRM, not a flat list. Every business is a pin you can filter by area, status, or niche. You can reopen a previous scrape and add more businesses to it, attach reviews to captured places for context, and enrich websites to pull emails, phones, and social profiles that Google Maps never shows. That is context Pipedrive will not build for you.

On top of that sits the intelligence layer: Sales, Reviews, and Email Intelligence turn raw listings into value-added databases contextualized with each business's pain points, and the AI writes a tailored email for each business. The data stops being a spreadsheet and becomes a working pipeline.

The two approaches are not exclusive. Many teams capture and qualify in Vonsel, then export only the leads that turn into real opportunities into Pipedrive, keeping their pipeline tidy. The data you feed into Google Maps stays the same. What changes is how much work happens before it reaches your CRM. Google's own Places data model shows just how many fields a listing carries once you capture it properly.

Which route should you pick?

Whichever route you choose, the first move is the same: capture a clean list. For more on turning a raw export into a working pipeline, read how to import scraped leads into your CRM and what to do once you have a scraped list.