Outscraper Google Maps Data Scraper
グーグルマップデータスクレーパー is one of the most popular scrapers among Outscraper services. Hundreds of Google Maps scraping tasks are created every day on Outscraper.
Parameters and filters should be set correctly in order to avoid irrelevant data in the results. We recommend to all our clients to read our main tutorial about Google Maps Data Scraper first. It is “Googleマップをスクレイピングするには？“
After the basic parameters are set correctly, some filters should be added according to the expectation. You can review your results by creating a small test task with your basic parameters. Filters could narrow the result file. The filters described below may be of use to you.
Why and When You Need to Use Filters for Google Maps Data Scraper Service?
Google Maps service shows results close to or similar to the searched category/keyword in the result list due to an easy and useful user experience that it wants to provide to its users.
For example, you want to find “Korean Grocey Stores” in Los Angeles and you searched “Korean grocery store near Los Angeles, CA, USA” on Google Maps.
When you scroll through the results, Google Maps also shows you Asian Grocery Store and Japanese Grocery Store results which it thinks may be related to Korean Grocery Store.
This situation can inevitably change the results you want to scrape. Because Outscraper Google Maps Data Scraper is a service that scrapes the results that Google Maps shows to the searched query.
Since Google Maps shows Japanese Grocery Store and Asian Grocery Store in the results of this query, these results will also appear in the scraping task result file. You use a parameter like this to perform a search with the “Korean Grocery Store” category/keyword in Outscraper Google Maps Data Scraper.
When you make a direct search with these parameters, the results will appear as follows:
Scraping task result without any filters: 韓国の食料品店
As you can see, similar results are obtained in the scraping task result, as in the Google Maps web page. This search contains 218 results with results including mixed grocery types. But you just want to scrape Korean Grocery Store results. How will you do this? You should check out “Advanced Filters” for it.
With the use of an subtype advanced filter, we can get the desired result with the same parameters.
We got results that especially have a Korean Grocery Store in their subtype with this filter. Thus, all results that were defined as Asian Grocery Store or Japanese Grocery Store in the subtype but not Korean Grocery store were eliminated.
Scraping task result with subtype filter: Korean Grocery Store with Subtype Filter
Scrape Only Exact Match Categories
The “Scrape only exact match categories” option box in Google Maps Data Scraper service is a feature that lets users to make simple filtering. When you click the “Scrape only exact match categories” option box, Outscraper will quickly generate a subtype filter as in the example above.
The most important point to note here is that this feature only works for the “English” language. Manual filtering is required for other languages.
If you need a simple filtering like in the example above, the “Scrape only exact match categories” option box will be enough for you. If you need to do different and detailed filtering, you will need to look at the advanced filters in deeply.
How to Use Advanced Filters?
Advanced filtering settings can be accessed by clicking “Advanced parameters (language, filters, limit per query, columns, etc.)” text where you can set language, various fields and operators
Language and Using Correct Category
You have the opportunity to search with Google Maps in various languages of the world. Likewise, you can search in these languages via Outscraper. If you are going to use a category that is used in German, you should choose German from the list here.
There is a list of generally used English categories in Outscraper. You can find it here.
The literal translation of the categories in this list may not always be exact in other languages. For this reason, it may be necessary to do a little preliminary work to find the right category term.
Apart from the translations, the keyword/category you want to search may be defined differently on Google Maps. It is advantageous to make preliminary preparations without creating large tasks.
Let’s say you search for the word “fruiser” as category, which means barber in German.
As a result of the search, Google Maps will show you the category defined for this word. It’s friseursalon. Creating a task with this defined category (friseursalon) will give you complete and correct results.
When the category is determined in the desired language, there is a very important setting that must be made before starting the task. It is to choose the right language from the advance parameters language section.
After setting the language and category correctly, you can check out the filters section.
Different kinds of filtering is possible by combining the subtypes, type, city, postal code, state, site, phone rating, business status and verified fields together with the “contains one of”, “contains none of”, “starts with”, “equals”, “is blank” and “is not blank” operators.
You can see the usage of the “contains one of” operator in the subtype and type header, the “contains none of” operator in the site header, the “starts with” operator in the rating header, and the “is not blank” operator in the phone header.
Each business registered in Google Maps is defined with a category and type, and also defined with multiple subtypes.
This is how the results of a task made with these parameters come out.
As seen in the results, there are businesses that have many subtypes such as “Fußpflege, Nagelstudio, Damen- und Herrenfriseur” along with the “Friseursalon” subtype. You can use these subtypes to extract the businesses you are targeting.
Let’s want to distinguish between these barber salons that provide services for both men and women. The subtype “Damen- und Herrenfriseur” expresses this. Translation of “Damen- und Herrenfriseur” is ladies and gentlemen hairdresser.
In order to do this, another subtype filter will need to be added to the existing subtype filter. Parameters will be determined in this way.
When both subtype filters were used for elimination, it seems that only rows containing “Damen- und Herrenfriseur” subtype data remained in the result file.
By examining the subtypes of the businesses in your target, you can determine an advanced filter setting and create large-volume tasks on it.
Type (Not Recommended)
The type field might be any element from subtypes depending on how you search (search query). For this reason, when you filter your task with the type filter, you might get not complete results.
When we create a task for “friseursalon” category with the type filter we got a result with few differences.
Any result written other than “Friseursalon” in the Type section is not included in the result file. For this reason, “AK Haarstudio”, which appears in the results of the subtype filter, is not available in the task result file created with the type filter. You can download the files to compare.
It would be appropriate to use subtype or type filtering according to which type of results you want to be listed in the result file.
The site filter is used to do website filtering. A use case is the following example: You want to search for all restaurants in a city, but you don’t want McDonald’s branches in the results. McDonald’s adds its website to the Google Business records of all its branches. The task can be filtered using this website information. By selecting the “Contains none of” parameter, all results containing this website will be eliminated.
When creating task without filtering, the results will have McDonald’s branches.
Query: Restaurant, Santa Barbara, CA, United States
Now set the parameters and filters for the results that do not include a specific website (www.mcdonalds.com)
McDonald’s branches are eliminated on new filtered task.
The “rating” filter is used when it wants to scrape only Google Places with certain ratings.
Query: Restaurant, Santa Barbara, CA, United States
The restaurants in the results of this query have various ratings. You may want to be scrapped restaurants with only 3 ratings. So instead of scraping all the restaurants and cleaning the rest manually, you can use a rating filter. Thus, you save time and cost.
Advanced parameters menu should be opened and rating field should be selected by clicking add filter.
Here the “starts with” operator is selected. Because among the restaurants, there are places with ratings such as 3, 3.1, 3.6. Thus, it covers them all. If the “contains one of” operator was selected and 3 was entered as a value, restaurants with a rating of 4.3 would also appear in the results.
After selecting the filter, the task can be created directly.
As a result, businesses with only 3 ratings were scrapped. This is how you can use the “starts with” operator and the “rating” field filter.
Some businesses don’t register their phone numbers with their Google My Business accounts. For this reason, the phone numbers of these businesses are not found on Google Maps. When you create a Google Maps Data Scraper task, businesses that do not have this phone will also be included in the results. If you want to have a phone number in your results, you should use the “Phone” filter and the “is not blank” operator.
When task is created with these parameters, any business that does not have a phone number will not be included in the result file.
You can see some companies are temporarily closed on Google Maps.
The status of these businesses appears in the business_status column of the result file.
If you only want to scrape businesses on “OPERATIONAL” status, simply use the “contains one of” operator.
Some businesses may not have the verification of Google Business registration. You can see this situation on Google Maps with the phrase “Claim this business”.
The status of these businesses is shown in the “verified” column in the Outscraper Google Maps Data Scraper result file.
If you are requesting a result file that only has to verified businesses, it is sufficient to use the “verified” field filter and the “contains one of” operator.
On the contrary, if you want to see non-verified businesses, it is sufficient to enter “FALSE” as the value.
Normally you select locations to search on Google Maps However, if special filtering is required, you can use “contains one of”, “contains none of”, “starts with” and “is not blank” operators to filter the task as in the examples above.
Now you can create your tasks with advanced filters. Please test your filters by creating a small task first. If you approve the results, you can create bigger tasks with a bigger location selection.
You can create different kind of filters for your scraping task on Outscraper Google Maps Scraper app dashboard.
You can find all businesses in a niche category on Google Maps easily. Just use the “subtype” filter to narrow and refine your scraping result file.
Outscraper Google Maps Scraper’s website filter lets you to find companies without website. Choose “site” filter in field and set the operator as “is blank”. Outscraper will find all companies without website for you.
Zip codes can be used to filter Google Maps scraping result file. Just be sure about the correct format of postal code and add “postal_code” filter on dashboard.
Outscraper Google Maps Data Scraper has “business_status” filter to find companies based on their business status. You can define filter value as: