+7 Best Google Maps Scrapers [2024 Edition]

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.

1. Lobstr.io 🏆
2. Outscraper
3. Hasdata
4. Apify
5. GMaps Extractor
6. Mapsscraper.com
7. Octoparse

But what exactly is a Google Maps scraper?

What 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?

Why scrape Google Maps?

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?

But the most common purpose of scraping Google Maps listings is – lead generation.

Besides lead generation and creating business/places directories, people also use Google Maps scrapers for:

1. Market research and competitive analysis
2. Location-based decision making
3. Real estate insights

But is it legal to scrape Google Maps?

Is scraping Google Maps legal?

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 reasons are pretty genuine.

1. It increases their server costs
2. It decreases revenues for their own product i.e. Places API
3. It increases competitive intensity in their market

But does that mean it's illegal?

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.

1. Data must be processed legally and fairly
2. Collect data only for clear and legitimate reasons
3. Only gather the data you really need
4. You must have a valid reason to process any personal data
5. People can access, correct, or delete their data, even if it’s public
6. Public data must be kept safe from unauthorized access or loss

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.

Is it possible to scrape Google Maps?

Yes, you can collect Google Maps listings data using any of the following 3 methods.

1. Coding your own scraper
2. Using Google Places API
3. Using a ready-made scraper

Let’s have a quick look at each method.

Can I code my own Google Maps scraper?

Yes, it’s possible, and all existing scrapers were coded by someone.

But there are 3 major problems.

1. Complexity
2. Maintenance
3. Expenses

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.

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.

Is Google Maps API the best option?

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.

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?

How I found the best Google Maps Scrapers?

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.

1. Speed
2. Ease of use
3. Cost
4. Scalability

So I used these as benchmarks for testing all the scrapers, and here’s my ultimate list of best Google Maps scrapers of 2024.

7 Best Google Maps Scrapers of 2024

1. Lobstr.io

Ease of use

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.

Select your parameters and the scraper will automatically collect all Google Maps listings from your targeted area.

Speed

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.

Features

1. It’s cloud based, no installation required
2. Collects 35+ data attributes from every listing
3. Enriches data with business emails and social links
4. Support scheduling for repeated data collection
5. Offers direct export to Google Sheets and Amazon S3
6. Provides a developer-ready API

Pricing

1. $1 per 1000 results with emails
2. $0.026 per 1000 results without emails

Scalability

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.

Best for

Individuals and businesses of all sizes looking for lead generation, market research, competitor analysis and data collection at scale.

2. Outscraper

Ease of use

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.

Speed

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.

Features

1. Cloud-based
2. Scrapes 40+ data attributes
3. Provides email and social links
4. Exports data to CSV, Excel, JSON
5. Offers scheduling
6. Offers API access

Pricing

1. $1 per 1000 results without emails
2. $2 per 1000 results with emails

Scalability

Like Lobstr.io, Outscraper is also scalable. You can scrape millions of local business listings using the Google Maps Scraper.

Best for

If you’re looking for email verification along with enrichment, Outscraper is for you. It’s suitable for businesses of all sizes.

3. Hasdata

Ease of use

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.

Speed

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.

Features

1. Cloud-based
2. Supports city-based targeting
3. Scrapes 15 data attributes
4. Collects emails and phone
5. Supports data export to CSV, Excel, JSON
6. Provides API access

Pricing

1. $0.25 per 1000 results without emails
2. $0.83 per 1000 results with emails

Scalability

With high volume plans, you can scrape up to 20 million results and it’s even more scalable with a custom plan.

Best for

It’s best for local SEO, lead generation, and competitor research. Hasdata is suitable for businesses of all sizes.

4. Apify

Ease of use

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.

Speed

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.

Features

1. Cloud-based
2. Scrape 30+ data points
3. Supports scheduling
4. Export data to multiple formats
5. Multiple 3rd party integrations
6. Scrapes reviews too
7. Provides API access

Pricing

1. $12 per 1000 results without emails
2. Additional charges for resources used

Scalability

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.

Best for

Apify is great for medium and large sized businesses. Its expensive pricing and additional costs makes it unsuitable for small businesses and individual use.

5. GMaps Extractor

Ease of use

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.

Speed

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.

Features

1. Scrapes 25+ data attributes
2. Collects emails and social links
3. Exports data to Excel
4. Provides API access

Pricing

1. $0.2 per 1000 results with emails

Scalability

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.

Best for

6. Maps-Scraper.com

Ease of use

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.

Speed

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.

Features

1. Scrapes 10+ data attributes
2. Collects emails and phone numbers
3. Export data to CSV, Excel, JSON

Pricing

1. All plans offer unlimited data collection

Scalability

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.

Best for

It’s good for individual use and small scale projects. You can use it for collecting leads for your cold outreach campaigns.

7. Octoparse

Ease of use

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.

Speed

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.

Features

1. Cloud-based
2. Auto-zooming for more leads
3. 25+ data attributes
4. Scheduling
5. Multiple export options
6. API access
7. Visual scraping for real-time data collection

Pricing

1. $0.5 per 1000 results with emails
2. Additional cost for CAPTCHA bypass and proxies

Scalability

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.

Best for

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.

Conclusion

This was my list of tried and tested Google Maps scraping tools ranked based on cost, ease of use, scalability, and speed.