Cos'è il database dei POI?
Il Database POI è un archivio di metadati geografici che descrive i punti di interesse (POI) nel mondo.
A point of interest is a record of a place on a map that is typically defined by its geographical coordinates and a few additional attributes like name and category. It can be used for just about anything, from finding hotels near you or seeing which parks are nearby.
An example of POI information
Nome: The Blade Grooming Lounge
Categoria: Negozio di barbiere
Indirizzo completo: 93 Old St, Londra EC1V 9JJ
Dove vengono usati i dati POI?
POI data solutions for navigation and mapping are an important part of the industry. They use this information to provide directions, locations, routes, and distances for people to get from point A to point B.
POI datasets are important for food delivery, logistics and transportation, insurance and financial services, retail, real estate, telecommunications, marketing and advertising, and government and public sectors.
Companies create datasets for a number of purposes. For example, they might identify the competition in a certain neighborhood, calculate shipping rates, or optimize the routing of their fleets in order to improve delivery periods.
Basi di dati POI
There are various sources where you can find POI databases. These are OpenStreetMaps, Google Maps, and government directories.
Google Maps is a revolutionary service that was launched by Google in 2005. It is one of the best apps ever created by Google. Google Maps has attracted the attention of companies since its establishment. Businesses have registered on Google Maps so that customers can reach them more easily.
Google Maps service contains over 120 million locations, and new ones are added every day. Google has gathered location data from over 100 million contributors and continues to grow. The map is available in over 80 languages and covers the world’s 7 continents. For these reasons, it is wise to use the Google Maps service as a POI database.
Utilizzare i servizi Outscraper per creare set di dati POI
Outscraper includes 3 services that can allow you to create POI Datasets. These services are Outscraper HUB, Outscraper Google Maps Extended API e Google Maps Data Scraper.
Outscraper HUB has a complete database which has over 80 million POIs with regular updates and the ability to subscribe to changes.
Outscraper HUB allows you to filter database by business name, added from, postal code, naics codes (only for the United States), and business status. You can also use specific area filters.
Outscraper Google Maps Extended Places API
Outscraper fornisce il servizio API di Google Maps Places. It stands out for its pay-as-you-go payment method and the support provided by the Outscraper’s developer team.
Outscraper Google Maps Extended API also stands out for its following features: real-time access to data. Fast API with extended fields and more affordable pricing, especially if a company would like to extract a large amount of data.
Guarda il nostro video su YouTube su come usare l'API Outscraper di Google Places.
Creazione di set di dati tramite lo scraping di Google Maps
It may be desired to create POI datasets according to certain parameters without any coding. Outscraper Google Maps Scraper farà il vostro lavoro con la sua interfaccia user-friendly.
Thanks to the Outscraper’s built-in scraping services, you can scrape all the points in tutte le categorie possibili on Google Maps easily. You can scrape all the POI data in Google Maps without any coding skills if you create a task with only a few parameters.
All detailed data such as Name, Full Address, Latitude, Longitude can be obtained with Google Maps Scraper service. There is a tutorial for Google Maps Data Scraper about how to use the service, which can be read here:
Also, Outscraper offers very rich filtering options. Thus, you can create special POI datasets for your use case with a wide variety of parameters. with Google Maps Data Scraper. A detailed tutorial can be read about how to set a task with different filters on the Filtri di Google Maps Data Scraper blog post.
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