Google Maps leads to MailchimpCapture free, export a CSV, import your audience
There is no one-click bridge from Google Maps into Mailchimp. Here is the clean, no-API way to do it: capture with a free Chrome extension, export, and import.
Integrations··7 min read
Key takeaways
Google Maps has no export button and no native Mailchimp connector, so you capture the data first, then import it
The Vonsel Chrome extension pulls name, email, phone, website, and address from any Maps search and exports a clean CSV, free and with no card
Mailchimp reads that CSV with its built-in import wizard: no API, no code, no developer
The extension is the means. The Vonsel dashboard is where those leads become a mapped CRM with AI email per business
The short answer
Why there is no direct button
Mailchimp is an email marketing platform, not a data source. It expects contacts that already carry an email address, a name, and ideally a permission status. Google Maps, by contrast, shows businesses on a map with no download option and no built-in way to hand a list to another app.
So the workflow is always two moves: capture the businesses into a file, then import that file into a Mailchimp audience. The hard part used to be step one. A browser extension that reads the Maps results you already see makes it a two-minute job, with no scraping API, no Python, and no proxies.
The Vonsel Chrome extension captures every business in a search, including the email it finds by visiting each website, and exports a spreadsheet Mailchimp can read directly. The extension is the means. The end is a lead you can actually work.
Start with the capture step
Grab the businesses from any Google Maps search in one click, then take the CSV anywhere. Free download. No trial, no credit card.
1. Run your search on Google Maps. Type something specific like "dentists in Austin" or "roofers in Leeds". The tighter your query, the cleaner your list. You can repeat this across neighborhoods or keywords and stack the results.
2. Capture with the extension. Open the Vonsel pop-up on the Maps page and let it collect each business. It reads name, phone, website, address, rating, and category, and it visits each site to enrich the row with an email and social profiles where they exist. For a deeper look at that enrichment, see how to extract emails from Google Maps.
3. Export a CSV. Choose CSV (or XLSX) as your export format. Mailchimp accepts a comma-separated file where the first row is your header. Keep columns like Email, Business Name, Phone, and City. Details on the accepted layout are in the Mailchimp import file guidelines.
4. Clean before you import. Remove rows with no email, drop obvious duplicates, and verify the addresses. This is the step most people skip and later regret. See verify scraped emails before you send anything.
5. Import into Mailchimp. In your audience, choose Import contacts, upload the CSV, and map each column to a Mailchimp field (Email Address is required). Mailchimp walks you through it in the official import contacts guide. Set the subscription status honestly and you are done.
The no-API path vs automation
CSV import or a live sync
For most local campaigns, a manual CSV import is the fastest and most controllable route. You see exactly what enters your audience and you clean it before it lands. That matters more than convenience when your sender reputation is on the line.
A single niche and city per audience keeps your messaging tight. Vonsel captures a category and area per search, so segmentation starts at capture.
Scraping public Maps listings is generally allowed, but how you contact people is regulated. See is it legal to scrape Google Maps for the full picture.
Mailchimp is a great place to send, but a spreadsheet in Mailchimp is not a pipeline. The value of a Google Maps lead lives in what you know about it: its reviews, its pain points, whether it even has a website. That context is what turns a send into a reply.
The native alternative
When you want more than an email list
Exporting to Mailchimp is perfect when email is your only channel. But a CSV strips away everything that made the lead interesting. You lose the map position, the review signals, and the ability to reopen the capture and add more later.
That is why the Vonsel dashboard exists as the destination, with the extension as the on-ramp. Inside the mapped CRM, each business keeps its context: Reviews Intelligence surfaces recurring complaints, Sales Intelligence scores the opportunity, and Email Intelligence drafts an AI email tailored to each business instead of one blast for everyone.
You can still export to Mailchimp for a broad newsletter. But for outreach that references a real pain point from a real review, the value-added database inside Vonsel does what a flat list cannot. See how a scraped list becomes a working pipeline in Google Maps leads to CRM, and how raw rows compare to enriched data in Google Maps data vs bought lists.
Mailchimp sends the email. Vonsel decides what it should say
Feed Mailchimp with real business data
Capture any Google Maps search, export a clean CSV, and keep the context in your dashboard. Free download. No trial, no credit card. Explore features or see more integrations.
There is no native button that pushes Google Maps into Mailchimp. The reliable path is to capture the businesses with a browser extension, export a CSV, and import that file as a Mailchimp audience. If you want live sync, connect a Zapier or Make automation between your captured file and Mailchimp.
Do I need to code or use an API to import Google Maps leads into Mailchimp?
No. The Vonsel Chrome extension captures business name, email, phone, website, and address from a Google Maps search, then exports a CSV or XLSX. Mailchimp reads that file with its built-in import wizard, so you never touch an API or write a line of code.
Should I email every business I scrape from Google Maps?
No. Verify the addresses first, remove role inboxes you cannot confirm, and only add contacts you have a lawful basis to email. Importing a large unverified list hurts deliverability and can trigger Mailchimp compliance checks. Warm up slowly and segment by relevance.