Otelleri veya diğer işletmeleri Google Haritalar'dan çıkarmanın 4 yolu

Why hotels or other businesses on Google Maps?

Every hotel benefits from listing its business on Google Maps, with millions of potential customers. A significant part of hotels data comes from owners or managers of the hotels. Another part is supplied by enthusiastic customers. This makes Google Places the best source of truth for hotels and other categories (e.g. restaurants, bars, shopping malls, etc.).

Ok, Google does have it, but how can I get the data?

The first thing that comes to mind for those who understand what is scraping is to scrape the data. Google Map scraping, harvesting, or extracting is a process of getting all the information about places (name, address, coordinates, site, phone, working hours, etc.) from the Google Maps site. It automates manual exporting of the data and saves a lot of time for marketing teams.

4 ways to scrape Google places

There are several ways to get the data into a CSV/excel file:

• write your own script;
• use official Google Places API;
• hire a frellancer;
• use existing scrapers, like Google Haritalar kazıyıcı.

The first option will work if you have a few years of experience in the scraping field and the resources to build and maintain the scraper. Be prepared to handle Google protection with browser emulators/proxies/reCaptcha solvers, etc.

Using the official Google Places API will be a good option but might be costly for small teams. Moreover, the fields are limited, but fortunately, you still can get some main data like names, coordinates, addresses, etc.

Hiring a freelancer can work, although you will need to maintain a relationship with them. Make sure the freelancer doesn't disappear after Google updates its security and you want to fix the program.

Using an existing cloud scraper like Google Haritalar kazıyıcı will be the ultimate option, as it will not require any developer's skills and the prices much lower than using the Official API. You can get the results into a CSV/excel file. The results contain a variety of fields, including phone numbers, emails, social links, etc.

The challenge of scraping the hotels from the entire country

If you open a query like "hotels near NYC, NY, USA" you will see only about 500 places for your search. Since Google Maps limits the number of results to a single search query, you won't see all hotels (unless it's a city with less than 500 hotels).

Therefore, the challenge of getting all the results from a country is to create a list of queries that will search for specific places in some limited areas.

What queries do you need to scrape hotels from the US?

The solution will be a combination of different categories (Hotel, Family Hotel, Luxury Hotel, etc.) along with locations split into small areas (neighborhoods, counties, etc.), for example:

• McDonald's, Albany, New York, United States
• McDonald's, Amherst, New York, United States

Additionally, you can use postal codes to create precise queries. Using this approach will allow you to use only one business category, for instance:

• Hotels, 04781, CA, US
• Hotels, 04783, CA, US
• Hotels, 04785, CA, US
• Hotels, 04786, CA, US

Categories

The entire list of all the categories from Google Places can be found here. In this example, we are using Google Haritalar kazıyıcı, so we don't need to combine the categories with locations now. Moreover, as we are going to use postal codes, it will be enough to use only one main category "hotel":

Locations

The ideal location will be a postal code with a city and the country name. Using small cities or neighborhoods also will work great. If you are using taşan, there is no need to find postal codes or a list of cities. Just select the required regions from the dropdown. You also can use this file to get all the locations and use it inside any other app:

To specify the locations manually, use the "custom locations" checkbox and insert the data from any table you have. Make sure you have a country name inside each location. This will help the scraper to find the places regardless of the IP address it's using:

Advanced parameters

While using Google Haritalar kazıyıcı you can select the language, total places limit, and whether to extract additional data from places' websites or not. Don't forget to select the region to eliminate any other countries that might appear from cities with ambiguous names.

You also might want to use "Drop duplicates" so you will ignore duplicate items inside a single task (the same places from different queries):

Starting the scraping task

Once everything looks right, click on the "Scrape data" button and validate a few queries by opening them on Google Maps. Make sure the queries are working on Google Maps and you can see the locations.

If you are running the first extraction, it will ask you to verify the account. Follow the instructions on the pop-up page and click "I've performed the actions" once you verified the account. When your task is running, you can open the görevler sayfası to monitor the progress:

Results

Once your task is finished, you will receive an email with a link to the data. The file will be available for 30 days to download. You also can download the results from the görevler sayfası. The results file contains the following fields:

• name
• site
• type
• subtypes
• phone
• full_address
• borough
• street
• city
• postal_code
• state
• us_state
• country
• country_code
• latitude
• longitude
• time_zone
• plus_code
• rating
• reviews
• reviews_link
• reviews_per_score
• photos_count
• photo
• working_hours
• working_hours_old_format
• business_status
• about
• range
• posts
• verified
• owner_id
• owner_title
• owner_link
• reserving_table_link
• booking_appointment_link
• location_link
• place_id
• google_id
• reviews_id
• email
• email2
• twitter
• bağlantılı
• Facebook
• instagram
• google_plus
• skype
• telegram
• site_generator
• site_title
• site_description
• site_keywords

Video tutorial on how to scrape Google Maps using Outscraper cloud application