更精细化Google Places API能否返回含公寓号的地址？求替代API推荐

Great question—let’s break this down clearly.

Does Google Places API support returning apartment numbers? #

Yes, but with some important caveats. Google Places API (specifically the Place Details endpoint) can return apartment numbers only if that information exists in Google's Maps database.

When you pull results, keep an eye on two key parts of the response:

• The formatted_address field may include the apartment number directly in the full address string.
• The address_components array often has a component tagged with types: ["subpremise"]—this is where apartment, suite, or unit numbers are stored.

That said, it’s not 100% consistent. If the address in Google’s database doesn’t include an apartment number (common with newer buildings, rural locations, or less-documented addresses), the API can’t generate it out of thin air. Coverage also varies by region—some areas have far more detailed address data than others.

Recommended Alternative APIs #

If you need more reliable apartment number extraction, or better coverage in specific regions, these are solid options:

• TomTom Search API: Offers robust address parsing that reliably pulls out apartment numbers, suite IDs, and other sub-address details. It has strong global coverage and frequent data updates, making it a great all-around choice.
• HERE Geocoding & Search API: Excels at breaking down addresses into granular components, including apartment units. It’s particularly strong for commercial and residential addresses across multiple regions, with built-in validation to ensure accuracy.
• Nominatim (OpenStreetMap-based): A free, open-source option that leverages community-contributed map data. It often includes apartment numbers where users have added them, though coverage and quality vary by location. Note that you’ll likely need to do some data cleaning to standardize results.
• SmartyStreets API: Tailored for North American addresses, this API is hyper-focused on address validation and precise sub-address extraction. It’s ideal if your user base is primarily in the US or Canada, as it handles apartment numbers, PO boxes, and unit IDs with exceptional accuracy.

内容的提问来源于stack exchange，提问作者PotatoPeanut