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What Data Does Google Maps Provide?

Google Maps holds a lot of information about a location. Photos, reviews, addresses, working hours, website, phone number, plus code are the data shared on the main screen.

Google Maps Location Data

Although it is not visible on the main screen, there are many data about the location on Google Maps. Longitude and latitude are two of them. A scraping service must be used to extract all Google Maps data about the location. Outscraper Google Maps Data Scraper is one of these services. Outscraper extracts more than 45 data from a place on Google Maps. The data list is as follows:

  • name - name of the place on Google Maps.
  • site - il sito web del luogo.
  • type - the type of the place under which it was found (can be any element from subtypes).
  • subtypes - tutti i tipi del luogo.
  • category - il tipo principale del luogo (a volte potrebbe essere in una lingua locale).
  • phone - numero di telefono del luogo.
  • full_address - indirizzo completo del luogo.
  • borough - quartiere dell'ubicazione del luogo.
  • street - via del luogo.
  • city - città del luogo.
  • postal_code - codice postale del luogo.
  • state - stato del luogo.
  • us_state - stato del luogo (sarà rimosso nelle versioni future).
  • country - paese del luogo.
  • country_code - il codice del paese del luogo.
  • latitude - latitudine del luogo.
  • longitude - longitudine del luogo.
  • time_zone - fuso orario locale.
  • plus_code - località plus code o codice di località aperto (funziona solo per la ricerca individuale, ad esempio, consultare: "Hotel Colombo Berat", "0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8").
  • rating - valutazione del luogo.
  • reviews - numero di recensioni
  • reviews_link - link alle recensioni del luogo.
  • reviews_per_score - Oggetto JSON con le recensioni per punteggio.
  • photos_count - numero di foto del luogo.
  • photo - link all'immagine del luogo.
  • street_view - link all'immagine del luogo in street view.
  • working_hours - Oggetto JSON con gli orari di lavoro del luogo.
  • working_hours_old_format - orario di lavoro del luogo.
  • popular_times - orario popolare del luogo (funziona solo per la ricerca individuale, ad esempio consultare: "Hotel Colombo Berat", "0x3e49a63f6b05fe3b:0xc73d6b1f31b2ccc8").
  • business_status - stato attuale dell'azienda.
  • about - informazioni aggiuntive sul luogo (ad es. si identifica come azienda a conduzione femminile, LGBTQ+ friendly).
  • description - descrizione del luogo.
  • range - fascia di prezzo del luogo.
  • posts - Oggetto JSON con le pubblicazioni del luogo (funziona solo per alcuni luoghi).
  • verified - indica se il luogo è stato rivendicato.
  • owner_id - identificatore unico del proprietario del luogo.
  • owner_title - titolo della pagina del profilo del proprietario.
  • owner_link - link al profilo del proprietario su Google Maps.
  • reservation_links - link per fare la prenotazione.
  • booking_appointment_link - link per prenotare un appuntamento.
  • menu_link - collegamento al menu.
  • order_links - link per effettuare un ordine.
  • location_link - link al luogo su Google Maps.
  • place_id - identificatore unico del luogo (Google potrebbe aggiornarlo un paio di volte all'anno).
  • google_id - identificatore unico del luogo, noto anche come Feature ID (Google potrebbe aggiornarlo un paio di volte all'anno).
  • cid - ID multi piattaforma di una scheda nell'ecosistema Google.
  • reviews_id - identificatore unico delle recensioni dei luoghi.

Using Outscraper and extracting data is very easy. It is much faster than collecting data manually. It saves time. Let’s look at ways to manually and automatically collect longitude and latitude data from Google Maps.

Collecting Longitude and Latitude Data on Google Maps Manually

Google Maps does not directly show the location’s longitude and latitude information on the home screen. But it can be seen in the right-click menu.

Longitude and Latitude Data on Google Maps

Clicking on the “Longitude and Latitude” line will copy this data to the clipboard. The data “40.7432294426243494, -73.98741247232803” is expressed in a text like this.

So what should you do if you want to find the coordinates of multiple places, for example, all museums in New York? Or from the Google Maps URL list of your locations?

For each location, “hover over the location pin, right-click, copy and paste” steps take a lot of time. Outscraper offers a solution to this issue with its Google Maps scraping service. Scraper di dati di Google Maps di Outscraper service can extract the longitude and latitude data from both categories and URLs in bulk.

How to Extract Longitude and Latitude From Google Maps in Bulk?

There are two ways to extract longitude and latitude with Outscraper’s Google Maps Data Scraper service cumulatively. The first is to create a scraping task by specifying a location and category. The second is to create a task using location URLs.

When creating a scraping task, selecting the location and category is enough. If you need to create more complex tasks, it is recommended that you look at this article: “Come iniziare con lo scraping di Google Maps.”

Longitude and Latitude Extraction With Category and Location

The service will find all the museums in New York and list the coordinates of these museums one by one. It will extract both coordinates and all other data.

Longitude and Latitude Extraction Result

The data of all museums are sorted and listed in the result file. Each place and its data are listed one below the other. The result file can be in CSV/XLSX/JSON/Parquet format. And it can be opened with a spreadsheet viewer like Google Sheets.

Extracting Coordinates With Google Maps URLs

“Plain queries” mode must be activated to extract coordinates with Google Maps links. In this mode, a category and location do not have to be selected. It is sufficient to just copy and paste the Google Maps links of the places.

Longitude and Latitude Extraction Result in Plain Queries Mode

Results will be listed in the same way. It is possible to extract coordinates collectively in both ways. Whichever way is suitable for the intended use is preferred. You can try these two ways by signing up for Outscraper now.

Prova gratis ora

It is free to try Scraper di dati di Google Maps di Outscraper service with the free tier. Outscraper bills with the pay-as-you-go model. You only pay for what you use. There is no fixed monthly fee. Test first and then use more for your project.

Domande frequenti

Domande e risposte più frequenti

The only way to search and list all restaurants without skipping any of them is to use zip codes. For this, we recommend that you take a look at the “Scraping All Places From Google Maps" tutorial.

There are more than 650,000 restaurants in the US. The list and dataset of all these restaurants can be obtained with the Outscraper Google Maps Data Scraper service.

The best way to find restaurant data is with Google Maps. Restaurants in all states and cities can be easily found on Google Maps. The data of these restaurants can be extracted with the Outscraper Google Maps Data Scraper service.

There are more than 5,000 categories in Google Maps. Dozens of different categories determine the types of restaurants. Results can be filtered by choosing from these categorie.

Categorie: raschiando

Yunus

Marketer, scrittore di contenuti, sviluppatore dell'esperienza del cliente - Facebook | Linkedin | Twitter

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