A good Google Maps scraper focuses more on smooth, reliable performance than on just pulling data. Features like using rotating proxies, solving CAPTCHAs, automatically retrying failed attempts, and handling changes in the webpage help avoid getting blocked and reduce the need for constant fixes.
For teams needing high-quality local data, the best tools do more than collect results—they also reliably clean, track, and scale the data, making it ready for real-world use.
This article explains what data you can get from Google Maps search results, how hard it is to get that data reliably, and how to decide whether to build your own system or buy a ready-made solution.
What Data Can Be Found in Google Maps Search Results?
A dataset from Google Maps search results usually includes the following information:
| Field | Description |
|---|---|
| Business Name | Name of the business listed |
| Address | Full street address |
| Phone Number | Business contact number |
| Website | Link to the business’s website |
| Rating | Average star rating |
| Review Count | Total number of reviews |
| Open/Closed Status | Whether the business is open or closed |
| Hours | Opening times for each day |
| Category | Type of business, such as “Fast food restaurant” |
| Price Range | Estimated cost range |
| Latitude and Longitude | Exact location on a map |
| Google Place ID | A unique identifier for each listing |
| Listing URL | Direct link to the business’s Google Maps page |
Building Your Own Google Maps Scraper: What You Need
Creating your own Google Maps scraper means managing every part of the process, not just writing the code.
Things you would need to create and keep running:
- A system to change IP addresses to avoid being blocked, since Google limits and blocks repeated requests from the same IP
- Code that adapts when Google changes the layout or way it shows its pages
- Ways to handle failed attempts, CAPTCHAs, and incomplete pages
- Storage and scheduling tools if you need up-to-date data regularly, not just once
- Ongoing work to fix issues caused by layout changes, which can break the scraper without warning
This means that the starting cost is only part of the total. You also need to spend time maintaining the scraper as Google changes its site, and there are costs for keeping large proxy systems running.
When Building Your Own Makes Sense
If you need a small amount of data (like a few dozen listings) and your team already knows about scraping, a simple script might be all you need.
When it Doesn’t Make Sense
If you need thousands of entries, regular updates, or consistent performance without having a specialist to maintain the scraper, the ongoing costs and effort usually outweigh the time saved by not using a ready-made scraper.
Why Use a Ready-Made Google Maps Scraper Instead
Using a ready-made scraper eliminates the need to set up and maintain the infrastructure.
With ScrapeHero’s Google Maps Search Results Scraper, everything like proxy rotation, layout changes, and error handling is taken care of automatically, so all you need to do is provide your search terms.
Here’s how it works in practice:
- Enter your search terms: Give the service one or more search phrases, such as a business type and a location (e.g., “coffee shops in Austin, TX”). You can submit up to 1,000 or more searches at once.
- Run the extraction: The service gathers every matching listing, often more than 500 per search, without you having to manage proxies or handle blocks.
- Get or schedule your results: You can download the data as Excel, CSV, or JSON, or have it automatically sent to places like Dropbox, Amazon S3, or Google Drive, or through an API.
We handle any changes Google makes to its site, so your team’s workflow won’t break when Google updates its pages.
In-House vs Ready-Made Scraper: Side-by-Side Comparison
| Field | Description |
|---|---|
| Business Name | Name of the business listed |
| Address | Full street address |
| Phone Number | Business contact number |
| Website | Link to the business’s website |
| Rating | Average star rating |
| Review Count | Total number of reviews |
| Open/Closed Status | Whether the business is open or closed |
| Hours | Opening times for each day |
| Category | Type of business, such as “Fast food restaurant” |
| Price Range | Estimated cost range |
| Latitude and Longitude | Exact location on a map |
| Google Place ID | A unique identifier for each listing |
| Listing URL | Direct link to the business’s Google Maps page |
How to Choose a Plan Based on Data Volume
Your data needs usually fit into one of these categories:
- Occasional, small-scale pulls: You only need a few queries a month, which is ideal for testing or quickly generating a list of leads.
- Regular lead generation or research: You need regular data extraction, maybe a moderate number of searches every week.
- Large-scale monitoring: You require a high volume of searches, often scheduled daily or hourly, for tasks such as ongoing market analysis, tracking competitors across multiple locations, or building continuous lead sources.
ScrapeHero’s pricing depends on data credits, the number of jobs running at once, and the number of API calls you need. The best plan for you will depend on how much data you need and how often you want it to update. There’s also a free plan to try before you pay.
What Is Google Maps Data Used For?
Here are some common ways people use Google Maps data:
- Sales lead generation: Creating lists of businesses that have verified phone numbers and addresses for follow-up.
- Market research: Studying the number of businesses, their ratings, and prices in a certain area or industry.
- Location intelligence: Using how many businesses are listed in a place as a way to understand the area’s population or how active it is commercially.
- Competitor tracking: Watching where a competitor has stores, how well they’re reviewed, and how many reviews they get over time.
- Contact enrichment: Combining Google Maps data with a contact-details scraper to gather additional information, such as social media links, emails, and other contact details, from each business’s website.
FAQs
What does an in-house Google Maps scraper require to maintain?
It needs proxy rotation to avoid getting blocked, logic to handle changes in the website’s layout, logic to retry failed requests, and ongoing work from your engineers to fix issues when Google updates its site.
Can Google Maps data be delivered on a recurring schedule?
Yes. You can set it up to run hourly, daily, or weekly, and the results are automatically sent to your cloud storage or via an API.
Can Google Maps data be combined with other data sources?
Yes. You can combine data from a Google Maps scraper with a contact details scraper to get extra details like social media links and email addresses from the business websites.
