How to Scrape Google Maps in 2026 — Complete Guide (10k Leads in 30 min)

Quick answer: Google Maps scraping is the automated collection of business data (names, emails, phones, addresses, ratings) from Google Maps listings. In 2026, the fastest methods are pre-indexed SaaS tools (10K leads in 30 minutes for €44), free Chrome extensions (up to 100 rows per session), or Python with proxies (developer time required). Scraping public Google Maps data is legal in the US per hiQ Labs v. LinkedIn (9th Circuit, 2022).

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This guide covers everything you need to extract business data from Google Maps in 2026 — what's possible, which methods work, the legal context, and how to go from zero to a 10,000-row CSV in 30 minutes. No fluff.

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What Is Google Maps Scraping?

Google Maps scraping is the automated collection of business data from Google Maps listings. Instead of copying and pasting hundreds of business names, phone numbers, and addresses by hand, a scraper does it in seconds.

The output is a structured file — usually a CSV — that you can import into your CRM, cold email tool, or spreadsheet.

It replaces a tedious manual task. That's the whole point.

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What Data Can You Extract from Google Maps?

Google Maps is a public platform. Any data visible on a listing page is fair game to extract.

Basic data available on every listing:

• Business name and category
• Full address (street, city, postal code, country)
• Phone number
• Average Google rating and total review count
• Opening hours
• GPS coordinates
• Google Place ID

That's the baseline. But if the business has a website, you can go further.

Additional data extracted from the business website:

• Email addresses (scraped from the site's contact pages)
• Social media links (Facebook, Instagram, LinkedIn, etc.)
• Website technologies in use (CMS, analytics, ad pixels, payment tools)
• Meta titles and descriptions

Some tools — like IBLead — also extract the full text of Google reviews, including the reviewer's name, rating, date, and comment. That's 500 reviews per listing, which no other tool in this category touches.

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Why Google Maps Is Perfect for Lead Generation

Three reasons. All of them matter.

1. It's comprehensive.

Google Maps covers 50M+ businesses across 37 countries. Nearly 4,000 business categories are represented — from dentists to car washes to industrial suppliers. You can find leads in almost any niche.

2. It's global.

No matter where your target market is, Google Maps has coverage. You can search by city, postal code, region, or entire country. The geographic flexibility is unmatched for local business lead generation.

3. It's public.

You don't need an account to browse Google Maps. Compare that to LinkedIn or Facebook, where scraping requires a logged-in session — and that session gets flagged and banned constantly. Google Maps doesn't have that problem. You're working with open, public data.

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Top 5 Google Maps Scraping Methods Compared

There's no single "best" method. Each has trade-offs. Here's an honest breakdown.

Method 1: Python (Custom Script)

Writing your own Google Maps scraper in Python gives you full control. You choose exactly what to extract, how to structure it, and when to run it.

Pros:

• Full customization
• No recurring cost once built
• Works at any scale with the right setup

Cons:

• Requires developer skills
• Google changes its HTML structure regularly — your script breaks
• You need proxies for large-scale scraping
• JavaScript rendering adds complexity (Selenium, Playwright, etc.)
• Debugging takes time

Python scraping is a solid choice if you have a developer on your team and a specific, recurring use case. For most sales and marketing teams, it's overkill.

Method 2: Chrome Extensions

Chrome extensions for Google Maps scraping are easy to install and run. You open Google Maps, run the extension, and get a CSV.

Pros:

• Zero setup
• Free options available
• Good for small, one-off extractions

Cons:

• Uses your own IP address — get blocked, and your browser is blocked too
• Limited to what's visible on screen
• Can't extract email addresses or website data
• Not built for scale

Chrome extensions work fine for 50–100 leads. They fall apart at 1,000+.

Method 3: Apify

Apify is a cloud-based scraping platform with a Google Maps actor (pre-built scraper). You configure it, run it on Apify's infrastructure, and download results.

Pros:

• No local setup
• Handles JavaScript rendering
• Scalable

Cons:

• Pricing is based on compute time, not results — hard to predict cost per lead
• Requires some technical comfort to configure
• Data freshness depends on when you run it

Apify is a good middle ground for technical users who don't want to maintain their own infrastructure.

Method 4: PhantomBuster

PhantomBuster is a no-code automation tool. You give it a Google Maps URL, set up a pre-built workflow, and it outputs a CSV.

Pros:

• No coding required
• Handles multiple platforms (not just Google Maps)
• Easy to set up

Cons:

• You pay for execution time, not results — a misconfigured run wastes money
• Limited data depth compared to dedicated tools
• No email extraction from business websites

PhantomBuster is fine for simple automation tasks. For serious Google Maps lead generation, it's not purpose-built enough.

Method 5: Octoparse

Octoparse is a visual web scraping tool. You can use pre-made templates or build your own workflow.

Pros:

• Visual interface — no code required for templates
• Handles pagination

Cons:

• Pre-made templates don't extract emails or social media data
• Custom workflows require knowledge of XPath and regex
• Steeper learning curve than it appears

Octoparse covers the basics. It doesn't go deep on enrichment data.

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The Pre-Indexed Alternative: IBLead

All five methods above share one problem: you wait for the scrape to run. If the data doesn't exist in a cache, you wait. If Google blocks the request, you wait. If your script breaks, you debug.

IBLead works differently. Everything is already scraped and indexed. You search, filter, and export — in under two minutes. No waiting. No broken scripts. No proxy management.

The database covers 50M+ businesses across 37 countries, updated weekly. Every export includes 50+ fields per listing.

What IBLead extracts that most tools don't:

• Up to 500 Google reviews per listing (full text, rating, date, author)
• 160+ website technologies detected per business (CMS, analytics, ad pixels, payment tools)
• Email addresses enriched from business websites
• Social media profiles

The technology detection alone changes how you prospect. You can filter for businesses running Facebook Ads but not Google Ads. Or for Shopify stores in a specific city. Or for businesses with no analytics installed — a signal they need digital marketing help.

Filtering options in IBLead:

• Business category (all Google Maps categories)
• Location: city, postal code, region, or entire country
• Minimum Google rating
• Minimum number of reviews
• Website presence (yes/no)
• Phone number presence
• Email presence
• Technologies detected on the website
• Whether the Google Maps listing is claimed

All of this is available from the entry plan. You don't need to upgrade to access filters.

Cost: $52 for 10,000 leads — that's $0.005 per contact.

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Step-by-Step: How to Extract Business Data with IBLead

Here's the exact process to go from zero to a CSV of qualified leads.

Step 1: Create your account

Go to Start free — 200 credits, no card required. You get 200 credits to test the platform.

Step 2: Open the Search tab

This is the main interface. You'll see two primary inputs: category and location.

Step 3: Choose your category

Type any business type — "plumbers," "accounting firms," "yoga studios." IBLead maps to Google Maps categories, so you're working with the same taxonomy Google uses.

Step 4: Set your location

You can search by:

• Specific city
• Postal code prefix
• Region or state
• Entire country

Country-level search is available on all plans — no upgrade required.

Step 5: Apply filters

Click the filter panel. Set your minimum rating, require email presence, filter by technology, or exclude businesses without a website. Each filter narrows your list to higher-quality prospects.

Step 6: Preview your results

IBLead shows you the count before you export. You know exactly how many leads match your criteria before spending a single credit.

Step 7: Export to CSV

Click export. Choose your columns. Download your file. Import it into your cold email tool (Lemlist, Instantly, etc.) or CRM (HubSpot, Salesforce, etc.).

The whole process takes under five minutes for a targeted list of 500–1,000 businesses.

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Is Google Maps Scraping Legal?

Short answer: yes, for public business data.

Longer answer: it depends on what you scrape and how you use it.

Generally legal:

• Business names, addresses, phone numbers
• Public ratings and reviews
• Operating hours
• Website URLs

These are public facts. Any person can see them on Google Maps without logging in. Collecting them programmatically doesn't change their public nature.

Important considerations:

• Don't scrape personal data (private individuals, not businesses)
• Respect GDPR if you're targeting businesses in the EU — business contact data has specific rules
• Don't overload Google's servers with aggressive scraping — use rate limits
• Focus on business data, not personal information

Using a pre-indexed database like IBLead sidesteps most of these concerns. The scraping already happened. You're just querying a structured database of public business information.

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What Your Exported Data Looks Like

A typical IBLead export includes these columns:

Field	Example
Business name	Sunrise Bakery
Address	14 Oak Street, Austin, TX 78701
Phone	+1 512-555-0182
Email	[email protected]
Website	sunrisebakery.com
Google rating	4.7
Review count	312
Categories	Bakery, Café
Technologies	WordPress, Google Analytics, Mailchimp
Social media	facebook.com/sunrisebakery
Listing claimed	Yes
GPS coordinates	30.2672, -97.7431

Advanced exports also include review data: up to 500 reviews per business with full text, star rating, date, and author name.

That review data is useful for reputation monitoring, competitive research, and identifying businesses with poor ratings that might need your services.

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Frequently Asked Questions

Is it possible to scrape Google Maps without coding?

Yes. Tools like IBLead require zero coding. You search, filter, and export through a browser interface. The technical work — scraping, indexing, enrichment — is already done. You just query the results.

How many businesses can I extract from Google Maps?

IBLead's database contains 50M+ businesses across 37 countries. In practice, the number you extract depends on your filters. A search for "dentists in Texas" might return 8,000 results. A search for "luxury watch retailers in Paris" might return 40. The database is there — your filters determine the output.

Can you scrape Google Maps reviews?

Yes. IBLead extracts up to 500 Google reviews per business listing, including the full review text, star rating, date, and reviewer name. This is useful for competitive analysis, reputation monitoring, and identifying businesses with specific customer feedback patterns.

How accurate is Google Maps business data?

Google Maps data is generally accurate for established businesses. Listings are often maintained by the business owners themselves (claimed listings). IBLead's database is updated weekly, so you're working with recent data — not a snapshot from six months ago.

What's the difference between a Google Maps scraper and a pre-indexed database?

A scraper runs in real time — it visits Google Maps when you make a request and returns results. A pre-indexed database like IBLead has already collected and structured all that data. The difference is speed (instant vs. minutes or hours), reliability (no blocking risk), and consistency (same data quality every time).

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Key Takeaways

• Google Maps scraping automates business data collection — replacing manual copy-paste work
• You can extract names, addresses, phones, emails, ratings, reviews, and website technologies
• Five main methods exist: Python, Chrome extensions, Apify, PhantomBuster, and Octoparse — each with real trade-offs
• Pre-indexed databases skip the wait and the technical complexity entirely
• Scraping public business data is generally legal — focus on business information, not personal data
• $52 for 10,000 leads is the benchmark to beat

Ready to export your first list? Start free — 200 credits, no card required