How to Scrape Google Maps Coordinates: Latitude & Longitude Guide

If you need to scrape Google Maps coordinates and extract latitude and longitude data at scale, you have several options — each with different tradeoffs in speed, accuracy, and cost. This guide covers every method: manual extraction, the Google Maps API, Python scripts, browser extensions, and pre-indexed databases. By the end, you'll know exactly which approach fits your use case.

Table of Contents

• What Are Google Maps Coordinates?
• Why Extract Latitude and Longitude from Google Maps?
• Method 1: Manual Extraction from the URL
• Method 2: Google Maps Platform API
• Method 3: Python Scraping Scripts
• Method 4: Browser Extensions
• Method 5: Pre-Indexed Databases
• Coordinate Formats Explained
• Common Errors and How to Fix Them
• Legal Considerations
• FAQ

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What Are Google Maps Coordinates?

Every location on Google Maps has a unique pair of numbers: latitude and longitude. Latitude measures how far north or south a point sits from the equator. Longitude measures how far east or west it sits from the prime meridian.

A typical coordinate pair looks like this: 40.7128, -74.0060 — that's New York City. The first number is latitude, the second is longitude. Together, they pinpoint any spot on Earth to within a few meters.

Google Maps stores these coordinates for every business listing, landmark, and address in its database. When you open a business page, those numbers live in the URL, in the page source, and in the API response — you just need to know where to look.

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Why Extract Latitude and Longitude from Google Maps?

Coordinate data has dozens of practical applications. Here are the most common ones:

Geographic analysis. Plot business locations on a custom map. Identify clusters, gaps, and market density by neighborhood or region.

Route optimization. Feed coordinates into logistics software to calculate delivery routes, service territories, or field sales coverage.

Proximity filtering. Find all businesses within a 5-mile radius of a specific address. Useful for local marketing campaigns and territory planning.

Data enrichment. Add GPS coordinates to an existing CRM dataset so records can be mapped or filtered spatially.

Research and journalism. Map infrastructure, track urban development, or visualize geographic patterns in public data.

The use cases span industries — real estate, logistics, field sales, market research, local SEO, and more. The method you choose depends on how many coordinates you need and how fast you need them.

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Method 1: Manual Extraction from the URL

This works for small volumes — think under 50 locations. No code, no tools, no cost.

Step 1: Open the location on Google Maps

Search for any business or address on maps.google.com. Click the result to open its detail panel.

Step 2: Read the URL

Look at your browser's address bar. You'll see a URL that contains a segment like this:

@40.7128,-74.0060,17z

The numbers immediately after the @ symbol are your coordinates. 40.7128 is latitude. -74.0060 is longitude. The 17z is the zoom level — ignore it.

Step 3: Copy and record

Copy those two numbers into a spreadsheet. Repeat for each location.

Limitation: This takes about 30 seconds per location. For 100 locations, that's 50 minutes of manual work. For 1,000 locations, it's not realistic.

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Method 2: Google Maps Platform API

The official API gives you structured, reliable coordinate data at scale. It's the right choice for developers building applications that need live, on-demand lookups.

Which API endpoint to use

The Geocoding API converts addresses into coordinates. Send it a street address, it returns latitude and longitude.

The Places API returns full business data including coordinates when you search by name or category.

Basic Geocoding API request

https://maps.googleapis.com/maps/api/geocode/json
  ?address=1600+Amphitheatre+Parkway,+Mountain+View,+CA
  &key=YOUR_API_KEY

The response includes a geometry.location object:

{
  "geometry": {
    "location": {
      "lat": 37.4224764,
      "lng": -122.0842499
    }
  }
}

Pricing reality

Google's API is not free at scale. The Geocoding API costs $5 per 1,000 requests. The Places API (Nearby Search) costs $32 per 1,000 requests. If you're pulling coordinates for 50,000 business listings, the Places API alone runs $1,600 — before you add any other fields.

There's also a 120-result cap per search query on the Places API. To cover a full city, you need to tile your search area into overlapping grids and run dozens of queries. That multiplies your API costs fast.

Best for: Developers who need real-time lookups embedded in an application. Not cost-effective for bulk data exports.

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Method 3: Python Scraping Scripts

Python gives you more control and lower cost than the official API — but it requires technical setup and carries legal risk if you violate Google's Terms of Service.

Libraries commonly used

• Selenium — controls a real browser, handles JavaScript-rendered pages
• Playwright — faster than Selenium, better for modern web apps
• BeautifulSoup — parses HTML, used after Selenium/Playwright fetches the page
• Requests — for simpler HTTP calls when JavaScript isn't needed

Basic coordinate extraction with Selenium

from selenium import webdriver
from selenium.webdriver.common.by import By
import time
import re

driver = webdriver.Chrome()
driver.get("https://www.google.com/maps/search/coffee+shops+in+Austin+TX")
time.sleep(3)

# Get current URL after map loads
url = driver.current_url

# Extract coordinates from URL
coords = re.search(r'@(-?\d+\.\d+),(-?\d+\.\d+)', url)
if coords:
    lat = coords.group(1)
    lng = coords.group(2)
    print(f"Latitude: {lat}, Longitude: {lng}")

driver.quit()

This extracts the map center coordinates. To get coordinates for individual business listings, you need to click each result and parse the updated URL — which requires looping, waits, and error handling.

The 120-result problem

Google Maps caps search results at 120 listings per query. If you search "restaurants in Chicago," you get 120 results maximum — even though Chicago has thousands of restaurants. To get full coverage, you need to:

1. Divide the city into a grid of smaller search areas
2. Run a separate query for each grid cell
3. Deduplicate results across overlapping cells

This is doable but adds significant complexity. A proper implementation for a major city can require hundreds of queries and hours of runtime.

Rate limiting and blocks

Google detects automated scraping and will block your IP or serve CAPTCHAs. Workarounds include rotating proxies, randomized delays, and headless browser fingerprint spoofing. Each adds cost and maintenance overhead.

Best for: Developers comfortable with Python who need a custom solution and have time to maintain it. Expect 2-5 days of setup for a production-ready scraper.

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Method 4: Browser Extensions

Several Chrome extensions extract Google Maps data including coordinates without writing any code. They're faster than manual copy-paste and don't require API keys.

How they work

You run a search on Google Maps. The extension reads the search results page and extracts structured data — business name, address, phone, website, rating, and coordinates — into a downloadable CSV.

Tradeoffs

Extensions are convenient for one-off exports of a few hundred records. They hit the same 120-result limit as the API. They also run in your browser, so your computer needs to stay open and connected for the duration of the export.

For large-scale extractions — tens of thousands of records across multiple cities — extensions become impractical. You'd need to run dozens of separate searches manually, download dozens of CSVs, and merge them yourself.

Best for: Non-technical users who need occasional small exports. Not suitable for bulk data needs.

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Method 5: Pre-Indexed Databases

This is the fastest option for bulk coordinate extraction. Instead of scraping Google Maps yourself, you query a database that's already done the scraping — and export the results instantly.

IBLead maintains a pre-indexed database of 50M+ business listings across 37 countries. Every record includes GPS coordinates (latitude and longitude), plus 50+ additional data fields: business name, address, phone, email, website, Google rating, review count, categories, and more.

The data updates weekly. You search by city, postal code, region, or entire country. Filter by category, Google rating, number of reviews, or website technologies. Then export to CSV — no waiting, no scraping, no API limits.

For $52, you get 10,000 complete business records including coordinates. That's $0.004 per contact. Compare that to the Places API at $32 per 1,000 requests — the same 10,000 records would cost $320 through Google's official API, and you'd still need to build the export pipeline yourself.

Best for: Sales teams, marketers, and researchers who need large volumes of business data with coordinates — fast, without engineering work.

Start free — 200 credits, no card required

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Coordinate Formats Explained

Google Maps uses decimal degrees by default, but you'll encounter other formats depending on your data source or destination system.

Decimal Degrees (DD)

The standard format for most APIs and databases.

40.7128, -74.0060

Positive latitude = North. Negative latitude = South. Positive longitude = East. Negative longitude = West.

Degrees, Minutes, Seconds (DMS)

Used in traditional cartography and some GPS devices.

40°42'46.1"N, 74°0'21.6"W

To convert DMS to decimal degrees: DD = Degrees + (Minutes/60) + (Seconds/3600)

Degrees Decimal Minutes (DDM)

A hybrid format used by some marine and aviation GPS systems.

40°42.768'N, 74°0.360'W

Which format does Google Maps export?

Google Maps URLs and the Maps API both use decimal degrees. If your destination system requires DMS or DDM, you'll need to convert after export. Most GIS tools (QGIS, ArcGIS) handle this conversion automatically.

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Common Errors and How to Fix Them

Coordinates point to the wrong location

This usually happens when you extract the map center coordinates instead of the specific business coordinates. The map center shifts as you navigate. Always extract coordinates from the individual business listing URL, not the search results page URL.

Negative longitude confusion

In the Western Hemisphere (North and South America, Western Europe, West Africa), longitude is negative. -74.0060 is correct for New York. If your coordinates show positive longitude for a US address, something went wrong in the extraction.

Coordinates outside expected range

Latitude must be between -90 and 90. Longitude must be between -180 and 180. Values outside these ranges indicate a parsing error — check your regex or extraction logic.

Duplicate coordinates for different businesses

Multiple businesses at the same address (a mall, office building, or shared space) will have identical or nearly identical coordinates. This is correct behavior, not an error. Use the business name or Place ID to distinguish them.

API returning ZERO_RESULTS

The Geocoding API returns this when it can't match your input address. Common causes: misspellings, non-standard address formats, or addresses that don't exist in Google's database. Clean your input data before sending it to the API.

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Legal Considerations

Scraping Google Maps coordinates sits in a legally complex space. Here's what you need to know.

Google's Terms of Service

Google's ToS prohibit scraping their services without permission. Section 5.3 of the Google Maps Platform Terms of Service explicitly restricts automated data extraction. This applies to browser-based scraping and unofficial API workarounds.

The official Google Maps Platform API is the legally sanctioned method for programmatic access. Using it means accepting Google's usage policies, which include restrictions on storing and redistributing the data.

The hiQ vs. LinkedIn precedent

A 2022 US Ninth Circuit ruling in hiQ Labs v. LinkedIn found that scraping publicly available data doesn't automatically violate the Computer Fraud and Abuse Act (CFAA). This created some legal breathing room for scraping public web data. However, it doesn't override Google's contractual ToS, and it doesn't apply in all jurisdictions.

GDPR implications

If you're extracting data about businesses in the EU, and those records include personal data (like a sole trader's name), GDPR applies. Business name, phone number, and email address can qualify as personal data depending on context. Ensure your data collection and storage practices comply with applicable regulations.

The practical middle ground

Most commercial data providers — including pre-indexed databases — operate by collecting publicly available business information and reselling it. This is a well-established industry. The key difference from DIY scraping: the legal and compliance risk sits with the data provider, not with you.

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FAQ

Can I extract GPS coordinates from Google Maps for free?

Yes, manually. Open any location on Google Maps and read the coordinates from the URL — they appear after the @ symbol. For bulk extraction, free options include Python scripts (requires coding) and some browser extensions with limited export caps.

What's the difference between latitude and longitude?

Latitude measures north-south position. It ranges from -90 (South Pole) to +90 (North Pole). Longitude measures east-west position. It ranges from -180 to +180. Together, they uniquely identify any point on Earth.

Does Google Maps have a result limit for scraping?

Yes. Google Maps caps search results at 120 listings per query. To extract more than 120 businesses from a given area, you need to split your search into smaller geographic tiles and run multiple queries — then merge and deduplicate the results.

Is it legal to scrape Google Maps?

Scraping Google Maps without using the official API violates Google's Terms of Service. Whether it violates law depends on jurisdiction and method. The hiQ v. LinkedIn ruling provided some protection for scraping publicly available data in the US, but it doesn't override contractual terms. Using a pre-indexed database built from public data is generally the lower-risk alternative.

How accurate are Google Maps coordinates?

Very accurate — typically within 5-10 meters for business listings in urban areas. Accuracy can drop in rural areas or for businesses with manually entered addresses. For precision applications (routing, proximity analysis), always validate a sample of coordinates against known reference points.

What format do Google Maps coordinates use?

Decimal degrees (DD) by default. A coordinate like 40.7128, -74.0060 means 40.7128 degrees North, 74.0060 degrees West. Most GIS tools, mapping APIs, and databases accept this format directly.

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Extracting latitude and longitude from Google Maps is straightforward once you pick the right method for your scale. Manual extraction works for small lists. Python scripts give you flexibility at the cost of setup time. The official API is reliable but expensive at volume. Pre-indexed databases like IBLead give you instant access to 50M+ business records — coordinates included — without writing a single line of code.

Get 200 credits free and export your first batch of business leads with GPS coordinates included.

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