7 Best Google Maps Scraper: Accurate Location Data Extraction in 2025

Introduction

Do you feel stuck manually collecting data? It's a real problem.

Manually searching Google Maps for business leads can waste hours of your time. You know that valuable information is out there, but it's just so slow to get.

Imagine having all that data with just a few clicks.

That's the solution a Google Maps scraper provides. It's a tool that helps you quickly get info like business names, addresses, phone numbers, and reviews from Google Maps listings.

Stop the slow work.

In this article, we'll look at the 7 best Google Maps scrapers and see which one is best for you in 2025.

What is the Best Google Maps Scraper?

Finding the best tool to get data from Google Maps can be tough. There are so many options.

We've done the work for you and put together a list of the top tools. This guide will help you choose the right one for your needs, so you can start getting the data you want right away.

Top 7 Google Maps Scrapers Compared

1. ScrapeGraphAI - Best Overall

ScrapeGraphAI is a unique tool that uses AI to simplify web scraping. You can tell it what you want in plain language, and it handles the complex coding for you, making data extraction easy.

Key Benefits

• Intelligent identification of data points
• Automatic handling of website changes
• Easy integration with other tools
• Quick setup in just a few minutes
• AI-powered scraping that adapts to site changes

Pricing

• Free: $0/month
• Starter: $17/month
• Growth: $85/month
• Pro: $425/month
• Enterprise: Custom Pricing

Pros & Cons

Pros:

• It's super easy to use
• AI makes it very accurate
• Handles website changes well
• Good value for the money
• Production-ready with auto-recovery

Cons:

• Fewer integrations than some competitors
• Advanced features need learning

Rating: 9/10

ScrapeGraphAI is really smart and accurate, which saves a lot of time. The price is fair for what it offers, and the guarantee is a nice touch. It loses a few points because the integrations are a bit limited, and getting the most out of the advanced stuff takes some effort.

2. Apify - Most Featured

Apify is a cloud-based platform that offers a huge library of pre-built scrapers, called "Actors." You can use their Google Maps scraper to get business data, reviews, and more without writing any code.

Key Benefits

• A wide range of pre-built scraping tools (actors)
• Scalable cloud platform for running tasks
• APIs for custom integrations
• Options for building your actors
• Over 1,500 pre-built scrapers available

Pricing

• Free: $0/month
• Starter: $35/month
• Scale: $179/month
• Business: $899/month

Pros & Cons

Pros:

• Huge selection of ready-made tools
• Very scalable cloud infrastructure
• Good for developers with its APIs
• The free tier is great for trying things out

Cons:

• It can be a little bit complex sometimes
• Costs can add up with heavy usage
• The quality of actors can vary

Rating: 8.5/10

Apify is a powerful and flexible platform with a lot to offer, especially for developers and those with more complex needs. However, the sheer number of options and the usage-based pricing might be a bit daunting for beginners.

3. Octoparse - Best Value

Octoparse is a popular no-code solution with a strong reputation for affordability. Its point-and-click interface makes it easy to build scrapers, and it offers built-in IP rotation to prevent blocks.

Key Benefits

• Visual point-and-click interface
• Cloud-based scraping capabilities
• Scheduled scraping and automation
• Ability to handle complex websites
• Built-in IP rotation to avoid blocks

Pricing

• Free: $0/month
• Standard: $99/month
• Professional: $249/month
• Enterprise: Custom Pricing

Pros & Cons

Pros:

• Very user-friendly interface
• Great for non-coders
• Cloud scraping is super handy
• Scheduling is a big time-saver
• Excellent value for money

Cons:

• It can get pricey for teams
• Cloud server limits exist
• Sometimes struggles with very dynamic sites

Rating: 8/10

Octoparse is fantastic for people who don't want to code, and the cloud features are a real plus. However, the cost for teams can add up, and it's not always perfect with super complex websites.

4. Browse AI

Browse AI lets you turn any website into a data source. It uses AI to monitor and extract data reliably. With its user-friendly interface, you can set up a scraper in minutes without needing to code.

Key Benefits

• No-code, visual data extraction
• Ability to monitor website changes
• Integration with popular automation tools
• Pre-built robots for common use cases
• AI-powered monitoring

Pricing

• Free: $0/month
• Starter: $19/month
• Professional: $99/month
• Team: $249/month

Pros & Cons

Pros:

• Extremely easy to get started
• No coding knowledge needed at all
• Monitoring changes is a great feature
• Integrates with many other tools

Cons:

• It can become expensive as you scale
• Might not handle very complex sites
• Relies heavily on visual recognition

Rating: 7.5/10

Browse AI's ease of use is a huge advantage, especially for non-technical users. The ability to monitor changes is also very valuable. However, the cost can add up, and it might not be the best for the most intricate website structures.

5. ScrapingBee

ScrapingBee is a web scraping API that handles a lot of the hard work, such as managing proxies and rendering JavaScript. This makes it a great choice for developers who want a reliable, simple solution.

Key Benefits

• Handling of proxies and CAPTCHAs
• JavaScript rendering for dynamic sites
• Simple API for easy integration
• Geolocation targeting for specific data
• Reliable proxy rotation

Pricing

• Freelance: $49/month
• Startup: $99/month
• Business: $249/month
• Business+: $599/month

Pros & Cons

Pros:

• Great at avoiding blocks and captchas
• Handles JavaScript websites well
• Simple API is easy to use
• Good for reliable data delivery

Cons:

• Less control over the scraping process
• It can become costly for large volumes
• Fewer visual tools for non-coders

Rating: 7/10

ScrapingBee is well known for its fast scraping. If you're tired of getting blocked while scraping, this service is excellent. It handles the technical headaches for you. However, it can get expensive for large-scale needs, and you have less direct control over the scraping logic.

6. Firecrawl

Firecrawl is an AI-driven web crawler built for modern AI workflows. It turns web pages into clean, structured data and is especially useful for training large language models with fresh, up-to-date content.

Key Benefits

• High-performance crawling engine
• Real-time data delivery options
• Scalable architecture for large projects
• Integration with popular cloud platforms
• AI-powered content extraction

Pricing

• Free: $0/month
• Hobby: $16/month
• Standard: $83/month
• Growth: $333/month

Pros & Cons

Pros:

• Incredibly fast for big jobs
• Designed for large-scale scraping
• Real-time data is very useful
• Integrates well with cloud services

Cons:

• It might be overkill for small tasks
• Pricing can be less transparent upfront
• Possibly requires more technical knowledge

Rating: 7/10

Firecrawl is a strong contender if you need to scrape massive amounts of data quickly. However, it might be too much for smaller projects, and getting clear pricing information can take an extra step.

7. ScrapeStorm

ScrapeStorm is an AI-powered desktop application that can automatically identify data on a page, including lists and tables. It offers a visual, point-and-click way to build scraping rules for any website.

Key Benefits

• Fully automated scraping process
• Intelligent pattern recognition
• Support for various data export formats
• Ability to handle complex website structures
• Desktop application with offline capabilities

Pricing

• Free: $0/month
• Professional: $49.99/month
• Premium: $99.99/month

Pros & Cons

Pros:

• Automation is really impressive
• It handles complex sites well
• Lots of tasks on the basic plan
• Good for users with less experience

Cons:

• Less control over specific details
• Advanced customization can be tricky
• The interface might feel different initially

Rating: 6.5/10

ScrapeStorm's automation is a big plus, especially if you're dealing with many different websites. It's also quite capable of complex structures. However, the trade-off for automation is less fine-grained control, and the interface might take a little getting used to.

What to Look for When Choosing a Google Maps Scraper?

When selecting the right Google Maps scraper for your needs, consider these essential factors:

• Data Accuracy: Ensure the tool can bypass Google's anti-scraping measures to get fresh, reliable data
• Ease of Use: Look for a user-friendly interface. No-code solutions are great for beginners
• Export Formats: The tool should offer common export options like CSV, Excel, or JSON
• Customer Support: Good support is crucial, especially if you run into any issues
• Pricing: Compare pricing models (pay-as-you-go, subscription, etc.) to find a cost-effective solution
• Scalability: The scraper should handle both small and large-scale data extraction jobs
• Specific Features: Consider whether you need to extract particular data, such as reviews, images, or real-time occupancy

How Can a Google Maps Scraper Benefit You?

A Google Maps scraper helps you to scrape Google Maps data for your business. It makes data collection easy.

You can quickly get Google Maps locations, phone numbers, and more. This is great for lead generation.

Instead of manually copying information, you can get it all in just a few minutes. Scrapers let you scrape publicly available data from Google search results safely and efficiently.

The extracted information can be exported to a file, such as Google Sheets. Some tools also work with the Google Maps URL and the Google Maps API, which is useful if you have detailed API documentation.

A good scraper provides clean search results you can use right away.

Buyers Guide

When doing our research to find the best product, we determined it using these factors:

• Data Legality and Ethics: We first looked at how each tool handled legal and ethical considerations. We reviewed the types of publicly available data they can scrape and how they comply with intellectual property regulations. We also sought information on whether they have a legitimate reason for their scraping process and whether they avoid scraping sensitive or personal data.

• Features and Functionality: We went beyond basic features to see what made each map extractor special. We checked for the ability to get real-time data, contact details like phone numbers, and other contact info. We also examined how they extract specific information, such as opening hours, review count, and social media profiles.

• API Service and Documentation: For advanced users and developers, we evaluated the quality of the API service. We checked for detailed API documentation and assessed whether the service provided useful code examples and JSON output for developers.

• Ease of Use and Accessibility: We evaluated the ease of creating and running scraping tasks for beginners, as well as the availability of free trials or plans. We also checked for compatibility with other platforms to help with specific jobs for your potential clients.

• Unique Data Points: Some tools can capture unique data, such as a place ID, which serves as a unique identifier for a location. We also looked for specialized features, such as the ability to tell if a business offers dine-in or other services.

Practical Implementation Examples

Using ScrapeGraphAI for Google Maps Scraping

from scrapegraph_py import Client
 
# Initialize the client
client = Client(api_key="your-api-key-here")
 
# Define the schema for Google Maps data
from pydantic import BaseModel, Field
from typing import List
 
class GoogleMapsBusiness(BaseModel):
    name: str = Field(description="Business name")
    address: str = Field(description="Full address")
    phone: str = Field(description="Phone number")
    rating: float = Field(description="Average rating")
    review_count: int = Field(description="Number of reviews")
    website: str = Field(description="Business website URL")
    hours: str = Field(description="Operating hours")
 
# Scrape Google Maps data
response = client.searchscraper(
    user_prompt="Find restaurants in downtown San Francisco",
    output_schema=GoogleMapsBusiness
)
 
print(f"Business: {response.name}")
print(f"Address: {response.address}")
print(f"Phone: {response.phone}")
print(f"Rating: {response.rating}/5")

Using Apify for Google Maps Scraping

import requests
import json
 
# Apify API endpoint
APIFY_API_URL = "https://api.apify.com/v2/acts/apify~google-maps-scraper/runs"
 
# Your Apify API token
APIFY_TOKEN = "your-apify-token"
 
# Configuration for the scraper
config = {
    "searchStringsArray": ["restaurants downtown San Francisco"],
    "maxCrawledPlacesPerSearch": 10,
    "maxAutomaticZoomOut": 1,
    "maxReviews": 5,
    "maxImages": 3
}
 
# Start the scraper
response = requests.post(
    f"{APIFY_API_URL}?token={APIFY_TOKEN}",
    json=config
)
 
run_id = response.json()["data"]["id"]
print(f"Scraper started with run ID: {run_id}")
 
# Check status and get results
status_url = f"https://api.apify.com/v2/acts/apify~google-maps-scraper/runs/{run_id}"
results_url = f"{status_url}/dataset/items"
 
# Wait for completion and get results
results = requests.get(f"{results_url}?token={APIFY_TOKEN}")
businesses = results.json()
 
for business in businesses:
    print(f"Name: {business.get('title', 'N/A')}")
    print(f"Address: {business.get('address', 'N/A')}")
    print(f"Rating: {business.get('totalScore', 'N/A')}")
    print("---")

Wrapping Up

Finding the right maps extractor is a game-changer for your business. We've shown you how to get detailed information and public data that can help you find new customers and grow.

While there are other tools out there, our guide focuses on the best ones. We research so you don't have to. You can trust our reviews because we've looked at what matters most.

Now you can pick the right tool and start getting the data you need to succeed.

Frequently Asked Questions

Is it legal to scrape data from Google Maps?

Yes, scraping publicly available data is generally considered legal. However, it may be a violation of Google's terms of service, which could result in your IP address being blocked from their services. Always ensure you're scraping only publicly available information and respect rate limits.

What is the Google Maps API?

The Google Maps API is a powerful set of programming tools that allows developers to embed Google Maps directly into websites and apps. It provides a structured way to access and use Google's mapping data, but it has usage limits and costs that can be restrictive for large-scale data collection.

How do Google Maps scrapers work?

They work by simulating a user's search on Google Maps. The scraper then extracts specific information, such as business names, addresses, and phone numbers, directly from the search results. Modern scrapers use AI and machine learning to adapt to website changes and extract data more reliably.

What data can I get with a Google Maps scraper?

You can easily extract a wide range of information, including business names, phone numbers, addresses, websites, ratings, and reviews. Some advanced scrapers can also get social media links, business hours, photos, and even real-time occupancy data.

Why not just use the official Google Maps API?

The official API can be great for developers, but it often has usage limits and costs that can be restrictive for large-scale data collection. Scraping tools are usually more cost-effective for high-volume tasks and often provide more flexibility in data extraction.

Which scraper is best for beginners?

For beginners, we recommend ScrapeGraphAI or Octoparse. Both offer user-friendly interfaces and don't require coding knowledge. ScrapeGraphAI uses AI to simplify the process, while Octoparse provides a visual point-and-click interface.

How much data can I scrape per day?

This depends on the tool you choose and your subscription plan. Most tools offer different tiers with varying limits. ScrapeGraphAI's free tier allows limited scraping, while paid plans offer much higher limits suitable for business use.

Related Resources

Want to learn more about web scraping and alternative tools? Check out these in-depth guides:

• Web Scraping 101 - Master the basics of web scraping
• AI Agent Web Scraping - Discover how AI can revolutionize your scraping workflow
• Mastering ScrapeGraphAI - Learn everything about ScrapeGraphAI
• Scraping with Python - Python web scraping tutorials and best practices
• Scraping with JavaScript - JavaScript-based web scraping techniques
• Web Scraping Legality - Understand the legal implications of web scraping
• Browser Automation vs Graph Scraping - Compare different scraping methodologies
• Pre-AI to Post-AI Scraping - See how AI has transformed web scraping
• ScrapeGraphAI vs Reworkd AI - Compare top AI-powered scraping tools
• LlamaIndex Integration - Learn how to enhance your scraping with LlamaIndex
• Tavily Alternatives - Explore other search and scraping tools
• Best LinkedIn Scraper - Find the best tools for LinkedIn data extraction

These resources will help you explore different scraping approaches and find the best tools for your needs.