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Creating an Online Local Business Directory

The popularity of directory websites has increased recently. They make it easy to locate any business or tourist destination without effort, whether we’re looking for a bite to eat, a cinema, a mechanic, a plumber, or anything else.

In its most basic form, a directory website is only an organized set of links that may be browsed according to various criteria. They may include information on a wide range of topics, such as the best restaurants in town, or they may focus on a narrower subject, such as the best dinner restaurants in town. 

Creating a directory on any such niche, like ads and affiliates, opens up many ways to earn. This has increased the demand for directory creation. It is easy to design and interface with No-Code builders like WordPress. The most important thing is to create a database of businesses to be listed in this directory.

The Database for the Directory

It is possible to find information on local businesses from many different sources—directory pages of local governments, local yellow pages, online yellow pages, and more. But the biggest and most detailed one is Google Maps. Google Maps is a service that has information about local businesses all over the world.

With Google Maps, we can find all the wellness centers in London, Paris, Berlin, New York, and Sydney in a few minutes. The results are more than enough for us to set up a wellness directory site.

Wellness Centers, New York, United States

Although Google Maps provides such an opportunity, it isn’t easy to record the data it provides one by one. At this point, the scraping service that extracts Google Maps data comes into play. This service is called Outscraper Google Maps Data Scraper. This scraping service from Outscraper allows you to extract Google Maps data without any Google limits perfectly.

Outscraper Google Maps Data Scraper

Outscraper Google Maps Data Scraper is an online service that allows you to extract data from this huge database of Google Maps according to the market you target. Whatever search queries are used in Google Maps, the same queries and parameters are used in the Google Maps Scraper service. There is no difference between the results obtained from the browser and those obtained from the scraping service.

Outscraper Google Maps Data Scraper service executes all extraction operations on its servers. No proxy is needed. It creates search queries according to the parameters and lists all the results from Google Maps.

The first step and priority are to determine the category correctly. Google Maps has general business categories. For example, “Wellness Center” is included in this list. With Outscraper, all businesses in a target niche in these categories can be easily scanned and listed. To browse and check out these categories:

After the category is determined, other parameters are set. And a scraping task is created. Google Maps scraping tasks can be created with either the Outscraper UI or API services. Outscraper allows for both. To be able to upload to databases, Outscraper UI offers the opportunity to export in CSV file format. Let’s look at an example through “Wellness Centers”

Export CSV From Outscraper UI

Outscraper App Dashboard has a clean and straightforward interface. It is very simple to use and enough to specify the category and location as in Google Maps. With a simple example, these parameters are enough to search for all the “Wellness Centers” in New York we just mentioned.

Outscraper App Dashboard UI

Now we create an example task with the above parameters. The result file will be in CSV format, as we have chosen. 

Sample Results - Wellness Centers, NY, USA

Outscraper has listed all the wellness centers. Creating a database for a directory website about wellness is that simple with Outscraper Google Maps Data Scraper. Outscraper quickly extracts and lists all results on Google Maps. Here is the sample result file: Wellness Centers New York

The Wellness category is not a market with many businesses like bars, restaurants, and coffee shops. That’s why it’s possible to scrape all the wellness centers in a city in a single Google Maps query.

But what if we wanted to scrape categories like categories restaurants? Where many businesses are registered. Even in densely populated areas? This is a fundamental question and challenge. Because when we search for a category on Google Maps, it only shows a certain number of results. It also lists different results as you scroll through the pages. But ultimately, it shows a maximum of 500 results for a single query. This query result limit also prevents us from finding all the operations in the category we are looking for. 

Restaurants, Brooklyn, New York, United States (Densely Populated Area & Category)

Outscraper helps us overcome this hurdle as well. It allows us to scan and scrape each neighborhood of a densely populated area one by one using zip codes. This way, we can create our directory database without missing a single business. A detailed blog post on how it’s done can be read here:

Creating a task with Google Maps Scraper also has some more tricks. You can read how to create a task using this UI in detail step by step in its tutorial: “How to Scrape Google Maps?” 

Even though Outscraper gives its users access to filtering options with advanced parameters, we can get rid of useless results from the lists we made for the database. A detailed article on filtering can also be read here: “Google Maps Data Scraper Filters.”

Outscraper Google Places API

Alternatively, to scrape all the data simultaneously, you can connect to Outscraper API and return information to your clients on demand. For example, when your visitors search for wellness centers in Berlin, your app can make a request to Outscraper API and show the results in real time.

It’s easy to use API services in Python, Go, Java, Node.js, Ruby, and PHP using Outscraper SDK’s. 

Here is an example of how you can scrape places from Google Maps by using search queries in Python:

					# Search for businesses in specific locations:
results = client.google_maps_search_v2(['restaurants brooklyn usa'], limit=20, language='en', region='us')

# Scrap Places by Two Queries
results = client.google_maps_search_v2(
    ['restaurants brooklyn usa', 'bars brooklyn usa'],
    limit=50, # limit of palces per each query

# Iterate over the results
for query_places in results:
    for place in query_places:
        print('query:', place['query'])
        print('name:', place['name'])
        print('phone:', place['phone'])
        print('website:', place['site'])

More information about using the API on API Docs and on our YouTube Channel.

Sign Up and Try for Free Now

Outscraper offers a free usage limit every month under the ‘Free Tier.’ You can check the Pricing page for pricing and free tier limits. Sign up and try the Outscraper Google Maps Data Scraper service for free now and create your own database.


Most frequent questions and answers

A business directory should basically contain the company name, full address, phone number, and company website. This information of businesses in any niche category can be downloaded with the Outscraper Google Maps Data Scraper service.

To establish a business directory, a website and the data of the businesses to be found in the directory are sufficient. The website can be created for free with a tool like WordPress. All that remains is the business information. This information can also be obtained with public data in Google Maps. Data collection can only take a long time. Outscraper Google Maps Data Scraper service can be used to automate this job.

Business directories usually focus on a single category. It lists businesses in that niche category. Information about companies is listed. Phone numbers, websites, full addresses. Thus, it provides services to users searching for businesses in that category and attracts the attention of these users.

Categories: Use Cases


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