How to Extract Leads from Google Maps in 2026 (Step-by-Step Guide)

Google Maps is one of the best sources of local business data on the internet. Every business that claims a listing gives you their phone number, address, website, hours, category, and customer ratings — all in one place, all publicly visible.

The problem is accessing that data at scale. If you're building a prospect list for a sales campaign, researching competitors in a new market, or looking for suppliers in a specific area, clicking through dozens of individual listings and copy-pasting information into a spreadsheet is a painful, hours-long process.

This guide covers how to extract leads from Google Maps — the manual approach, why it breaks down fast, and how to automate it with a Chrome extension.

Why Google Maps is worth your time

Most B2B lead databases charge per contact and often have outdated information. Google Maps data is maintained by the businesses themselves — they update their hours, phone numbers, and addresses because it directly affects their customer calls. That makes it more current than many paid databases.

For local business prospecting specifically, there's no better starting point. Search "accountants in Austin TX" and you get a filtered, location-specific list with contact details already attached. No scrubbing through a generic company list and trying to match addresses manually.

The manual way (and why it breaks down)

Here's what extracting leads manually looks like:

For a small one-off project, manual extraction is fine. For anything requiring 500+ leads or ongoing prospecting, it's not viable.

The automated way with LeadMapsHub

LeadMapsHub is a Chrome extension that automates the scroll-and-extract process. It reads the business data directly from Google Maps as results load, without injecting anything into the page or using brittle DOM scraping.

What data you can extract

LeadMapsHub captures the following fields for each business:

• Business name — the registered Maps listing name
• Phone number — pulled from the listing and, where available, directly from the business website via XHR
• Address — full street address as shown on Maps
• Website URL — the linked business website
• Star rating — 1–5 stars
• Review count — total number of reviews
• Business category — primary category assigned by Google
• GPS coordinates — latitude and longitude from the listing

The phone extraction via XHR is worth noting separately. Some listings show a phone number directly on Maps; others only link to a website. LeadMapsHub can also pull the phone from the website's contact page, which increases coverage on leads that don't have a number directly on their Maps listing.

How to filter and export

Raw extraction gives you everything. Filtering narrows it down to what you actually want to contact. Before exporting, you can filter by:

• Minimum star rating (e.g., only businesses rated 4.0+)
• Has phone number / has website
• Business category match

Export formats: CSV works with Google Sheets, HubSpot, Salesforce, and most CRM import tools. Excel (.xlsx) is useful if your team works in Excel. JSON is for developers building pipelines or integrating into their own tools.

Use cases

Here's what people actually use Google Maps lead extraction for:

• Sales prospecting — building call lists for local business outreach. Agencies targeting restaurants, contractors, or professional services use this to build region-specific prospect lists quickly.
• Real estate — identifying commercial property owners, finding brokers in a target area, or researching businesses near a development site.
• Market research — counting competitors in a city, mapping business density, understanding what categories are over- or under-served in a market.
• Competitor analysis — pulling ratings and review counts for all competitors in your category across multiple cities.
• Supplier sourcing — finding manufacturers, distributors, or service providers in a specific geography.

Tips for better results

The quality of your extracted leads depends heavily on your search query. A few things that help:

• Be specific with location — "plumbers in Denver CO" gives better results than "plumbers near me" because it locks the geography.
• Use category + city combinations — "digital marketing agencies Boston" returns more relevant results than broad searches.
• Zoom level matters — zooming into a specific neighborhood before searching returns hyper-local results. Zooming out gets you a wider area.
• Run multiple searches — if you want all dentists in a metro area, run searches for each borough or district separately. Maps caps results at ~120 per search.
• Filter after extracting — extract everything first, then filter by rating or data completeness. It's faster than re-running searches with different filters.

Frequently asked questions