+7 Best Google Maps Scrapers [2024 Edition]
(updated)
(updated)
Did you know Google Maps hosts detailed information on over 200 million businesses and points of interest worldwide?
The fastest and most convenient way to collect information from this vast sea of data is by using a Google Maps scraper.
But with so many options out there, how do you choose the best one?
That’s exactly what we’re going to explore.
In this article, I'll share the best Google Maps scrapers of 2024, and help you find the perfect tool for your needs.
But what exactly is a Google Maps scraper?
A web scraper, also known as a crawler, spider, or bot, is a tool that automatically collects data from websites.
It mimics how a person would browse the internet, but it does so much faster and can handle large amounts of data.
Google Maps Scraper is a type of web scraper that focuses on Google Maps.
It automatically pulls information like business names, addresses, phone numbers, websites, and reviews from Google Maps.
This helps you quickly gather a lot of location-based data for various purposes without doing it manually.
But what are the use cases of a Google Maps scraper?
We all know the short answer to this question – to collect business information from Google Maps listings.
But what data and why do people need that data?
Well individually, there are unlimited use cases. Like mr. u/ForevermoreNow wants to collect URLs of Google business sites in his area.
But the most common purpose of scraping Google Maps listings is – lead generation.
For example, mr. u/Whatasave91 wants to create a leads database of tree cutting businesses nationwide, with their contact information.
Similarly mr. u/RaceOriginal wants to collect service-based business leads.
Besides lead generation and creating business/places directories, people also use Google Maps scrapers for:
But is it legal to scrape Google Maps?
It’s a really common question, not just about Google Maps but web scraping in general.
But like my relationship status, the answer to this question is also “Complicated”.
The honest answer is Google doesn’t like it, they’ve strictly forbidden any kind of scraping in their terms of use.
The reasons are pretty genuine.
But does that mean it's illegal?
That’s the fun part. It’s completely legal to scrape publicly available data as per the ruling by U.S. Ninth Circuit of Appeal in LinkedIn vs HiQ case.
When it comes to web scraping in the European Union, the General Data Protection Regulation (GDPR) is a key law that must be followed.
Though GDPR doesn’t specifically restrict the collection of public data, it lays out important rules on how this data can be collected and used.
We already have an in-depth article on this topic. Do check out Is scraping legal on Google Maps for more understanding.
In simple words, since Google Maps listings is publicly available data, it’s fully legal to collect it.
But is it possible to collect data from millions of Google Maps listings? 🤔
Let’s discuss how it works.
Yes, you can collect Google Maps listings data using any of the following 3 methods.
Let’s have a quick look at each method.
Yes, it’s possible, and all existing scrapers were coded by someone.
If you’re into programming, you can do it using Python with libraries like requests, bs4, lxml, or selenium.
But there are 3 major problems.
Google Maps has a complicated web structure, making extracting the data you need very hard.
It uses API requests to fetch data in the background, so you must figure out these requests and correctly handle the responses.
Even if you manage that, Google’s CAPTCHAs can block automated access.
Too many requests in a short time will trigger them, and bypassing CAPTCHAs is another challenge.
You can read more about these challenges in our practical tutorial on how to scrape Google Maps with Python.
Even if you build a working scraper, Google frequently changes its structure and APIs, meaning you’ll have to regularly update your code to keep it working.
Costs can also pile up. You’ll need proxies, cloud servers, and CAPTCHA solutions, making it expensive to operate long-term.
Another option is the officially endorsed one i.e. using Google Maps official API.
Google offers the Places API for getting data from Google Maps. It gives you most of the information you need about business listings.
But is it the best option?
If you’re willing to spend a lot, it might be worth a try. The Places API is expensive, costing at least $17 for 1,000 requests.
Even if you’re okay with the cost, the documentation is tough to navigate. After the recent update, finding the right parameters feels like solving a puzzle.
You can also use 3rd party Google Maps APIs, but you’ll still need programming skills and a lot of manual work to build a scraper.
For non-programmers, the best choice is to use a ready-made, no-code tool.
Now back to the question I raised in the beginning, how to choose the best no-code scraper for Google Maps?
There are literally hundreds of scrapers available online. Some of them work, some are just abandoned github projects.
Finding the best ones without set parameters is like finding a needle in a haystack.
So, I started reading user complaints in different communities and support forums. After doing some research, I identified 4 common pain points.
So I used these as benchmarks for testing all the scrapers, and here’s my ultimate list of best Google Maps scrapers of 2024.
Google Maps Scraper | Type | Speed per min | Data attributes | Cost per 1k results | Is scalable? |
---|---|---|---|---|---|
Lobstr.io 🏆 | Cloud | 200 | 35+ | $0.026 | ✅ |
Outscraper | Cloud | 15 | 40+ | $1 | ✅ |
Hasdata | Cloud | 200 | 15+ | $0.25 | ✅ |
Apify | Cloud | Uncertain | 30+ | $12 | ✅ |
GMaps Extractor | Chrome Extension | 20 | 25+ | $0.2 | ❌ |
Mapsscraper.com | Chrome Extension | Uncertain | 10+ | Uncertain | ❌ |
Octoparse | Desktop Software | 100 | 25+ | $0.5 | ❌ |
Lobstr.io is a French data scraping SaaS company offering 20+ ready-made scrapers including Google Maps Search Export.
Lobstr.io comes with a really simple and user-friendly interface. There are no complicated and nerdy settings.
It literally takes 2 minutes to set up and launch a scraper on Lobstr.io.
You only have to do a Google Maps search, copy and paste URL in Lobstr.io, and launch your scraper.
Here’s a step-by-step guide on how to scrape Google Maps listings using Lobstr.io.
Or you can select the Use params feature to target a specific city or region.
Select your parameters and the scraper will automatically collect all Google Maps listings from your targeted area.
Lobstr.io is the fastest scraper of this list. It can collect 200 listings per minute, and this is just the basic speed.
You can increase the speed up to 40X by increasing the concurrency.
Lobstr.io is not only the fastest but also the most scalable Google Maps scraper in the market. You can collect up to 21.6 million listings with the enterprise plan.
That’s not all, you can collect even more with a custom plan.
If you want to collect Google reviews, Lobstr.io also offers a Google Maps Reviews Scraper.
Pros | Cons |
---|---|
Easy to use | Free plan won’t allow downloading data |
Super fast | Payment in EUR only |
Collects emails and social links | |
Collects all business info including reviews | |
Affordable pricing | |
Supports area-wise targeting |
Individuals and businesses of all sizes looking for lead generation, market research, competitor analysis and data collection at scale.
Outscraper is a US-based data scraping company offering a variety of no-code scrapers including one Google Maps Data Scraper.
Outscraper has a bit cluttered but easy to use interface. You can either select categories and locations from the menu or add plain queries.
Some features are not available in the main setup page like you’ll find schedule option in the tasks page not in the setup menu.
It’s hard to calculate the speed as the free trial is technically non-existent. You have to load at least $10 to use the scraper.
But as per rough estimates, it takes 7 to 25 minutes to scrape 1000 listings, which means the average speed of Outscraper is 15 results per minute.
Like Lobstr.io, Outscraper is also scalable. You can scrape millions of local business listings using the Google Maps Scraper.
Pros | Cons |
---|---|
Easy to use | Slow |
Offers emails and social links | No real free tier |
Supports area-based targeting | |
Offers email verification | |
Affordable pricing |
If you’re looking for email verification along with enrichment, Outscraper is for you. It’s suitable for businesses of all sizes.
Hasdata (formerly Scrape-it) is a US-based data scraping company offering 20+ no-code scrapers including Google Maps Scraper.
Hasdata offers a very simple, minimalistic, one page menu. You can enter a search query and location and you’re ready to extract data.
Unlike the first 2 scrapers, you can’t add URLs or plain queries in Hasdata. The UI is too basic and doesn’t offer a lot of features.
It’s super fast. While the speed varies for each task but on an average, you can collect up to 200 results per minute using Hasdata.
With high volume plans, you can scrape up to 20 million results and it’s even more scalable with a custom plan.
Pros | Cons |
---|---|
Super fast | No schedule |
Provides emails and phone numbers | Less data points |
Affordable | No social links |
Supports city and zip code targeting |
It’s best for local SEO, lead generation, and competitor research. Hasdata is suitable for businesses of all sizes.
Apify is a Czech company that mainly provides developers with a cloud hosting solution for their scraping tools. It also manages some scrapers like Google Maps Extractor.
Apify’s interface looks a little nerdy but it’s fully packed with useful features and technical configurations.
But if you pay little attention, it accepts URLs and also allows you to target specific locations and keywords.
This can be intimidating for new users and from a UI point of view, Apify falls behind other scrapers.
Since it’s a paid scraper, I was unable to test the speed but Apify’s crawlers are typically fast and you can also increase the speed by increasing RAM allocation.
It’s a scalable tool but quite expensive for small businesses. You can also use related scrapers available in the Apify store to enrich data.
Pros | Cons |
---|---|
Cloud based | No emails |
Well-documented API access | Too expensive |
Offers scheduling | Uncertain speed |
Collects all vital data points | |
User friendly interface | |
Supports multiple input options | |
Multiple export formats and integrations |
Apify is great for medium and large sized businesses. Its expensive pricing and additional costs makes it unsuitable for small businesses and individual use.
GMaps Extractor is a relatively new company from unknown region, offering multiple chrome extensions for different Google Maps tasks including a data extractor.
It’s not available in the Chrome Web Store so you have to install it manually, which indeed is a complicated process.
Except for the installation part, scraping data with this extension is easy. You only need to search for a keyword in Google Maps and launch this extension.
Since it’s not a cloud-based scraper, the speed typically depends on your system specs and internet connection speed.
During my testing, I was able to scrape 20 to 30 results per minute at max but again, the speed keeps changing.
It’s not as scalable as cloud-based scrapers because you have to keep your system running to scrape results. It’s good for basic data collection.
Pros | Cons |
---|---|
Collects emails and social media | No schedule |
Collects almost all required business info | Not cloud-based |
Affordable pricing | Complicated installation |
Not scalable | |
Slow |
It’s best for individual use and small businesses who don’t have a lot of data to scrape. Can be used for cold outreach.
MapsScraper.com is another Chrome extension for scraping Google Maps listings. It’s similar to GMaps Extractor in workflow, interface, and many other aspects.
Just like GMaps Extractor, Maps Scraper is also not listed in the Chrome Web Store. You’ll have to go through the same complicated process to install it.
After installing, again repeat the same GMaps Extractor process to extract data from Google Maps.
Again, since it’s not a cloud-based scraper, the speed depends on your internet speed and system specs.
But it’s a little faster compared to GMaps Extractor. The only problem is, it doesn’t scrape any results sometimes.
It’s not at all a scalable solution and not suitable for large data collection jobs. You can use it to save your time by automating listings export to a spreadsheet.
Pros | Cons |
---|---|
No limit on data collection | Uncertain speed |
Can extract emails and social links | Not scalable |
Collects all vital details about a business | Not enough data points |
Affordable pricing | Complex installation process |
It’s good for individual use and small scale projects. You can use it for collecting leads for your cold outreach campaigns.
Octoparse is a US-based web scraping company offering a visual scraping desktop application with multiple scraping templates including one for Google Maps too.
Octoparse requires you to install a desktop app to run the scraper. Once you have the software installed, you can either configure a scraper or use a template.
Templates are pre-configured automations where you only add your input and they do the rest for you.
For Google Maps, you can use Google Maps Scraper and Google Maps Email Finder templates in Octoparse.
Octoparse, despite being a desktop software, runs in the cloud. Its average speed is around 100 to 120 results per minute.
But CAPTCHAs can be a big problem and reduce the speed significantly. Adding proxies to the plan makes the tool super expensive.
Honestly, not scalable due to the CAPTCHA problem. Even with a premium plan, the CAPTCHA solver doesn’t work properly and makes the scraping process super slow.
Pros | Cons |
---|---|
Cloud-based | Slow with CAPTCHA solving on |
Visual scraping functionality | Expensive due to additional costs |
Easy to use interface | Not scalable |
Collects emails and social links | |
Collects all vital data points |
It’s good for medium sized businesses who need a customizable data scraper to collect leads and other business data.
Not suitable for individuals due to high costs and bigger businesses due to lack of scalability.
This was my list of tried and tested Google Maps scraping tools ranked based on cost, ease of use, scalability, and speed.
Do try our Google Maps Search Export and make data extraction from Google Maps easy, fast, and seamless.
Self-proclaimed Head of Content @ lobstr.io. I write all those awesome how-tos, listicles, and (they deserve) troll our competitors.