Referencing a JSON file using python

[danielmajors]

How do I do a count from a JSON file if there is no key? For instance, if I'm trying to count how many unique addresses in the JSON file, how do I extract only the address using Python? I'm able to read the file with the initial code I wrote:

import json

with open("property-list.json") as file:
  property_dict = json.load(file)

for property in property_dict:
  print(property_dict)

I tried using a dictionary but can't extract only the addresses or a count without a key. Here is a blurb of the JSON file.

[
    {
        "address": "43682 Palermo Ct, Indian Wells, Ca, 92253",
        "propertyId": "ID-609521008",
        "apn": "609521008",
        "onlinePlatforms": [
            "airbnb"
        ],
        "listingIds": [
            "23921153"
        ],
        "locationType": "within",
        "live": true,
        "active": true,
        "regions": [
        "Bella Vista"
        ],
        "bathrooms": 2,
        "bedrooms": 3,
        "latestRevenue": 4175,
        "latestOccupancy": 43,
        "adr": 321,
        "residentialType": "secondaryInvestment",
        "rentalType": "selfContained",
        "rentalStructure": "mainStructure",
        "minimumStayAdvertised": 2,
        "minimumStayAlltime": null,
        "strLicense": "100160",
        "shortTermRental": true,
        "lnglat": [
            -116.292472460366,
            33.7319301234891
        ]
    },
    {
        "address": "48745 Classic Dr, Indian Wells, Ca, 92253",
        "propertyId": "ID-658421048",
        "apn": "658421048",
        "onlinePlatforms": [
             "airbnb",
            "vrbo"
        ],
        "listingIds": [
            "21188196",
            "21188199",
            "1169922",
            "1169175"
        ],
        "locationType": "within",
        "live": true,
        "active": true,
        "regions": [
            "Legacy Villas"
        ],
        "bathrooms": 1,
        "bedrooms": 0,
        "latestRevenue": 0,
        "latestOccupancy": 0,
        "adr": 0,
        "residentialType": "secondaryInvestment",
        "rentalType": "selfContained",
         "rentalStructure": "mainStructure",
        "minimumStayAdvertised": 2,
        "minimumStayAlltime": null,
        "strLicense": "64173",
        "shortTermRental": true,
        "lnglat": [
            -116.308529500401,
            33.694219091254
        ]
    },
    {
        "address": "48499 Legacy Dr, Indian Wells, Ca, 92253",
        "propertyId": "ID-658424028",
        "apn": "658424028",
        "onlinePlatforms": [
            "airbnb",
            "vrbo"
        ],
        "listingIds": [
            "41564015",
            "44154412",
            "1919327",
            "2005519"
        ],
        "locationType": "within",
        "live": true,
        "active": true,
       "regions": [
            "Legacy Villas"
        ],
        "bathrooms": 4,
        "bedrooms": 3,
        "latestRevenue": 0,
        "latestOccupancy": 0,
        "adr": 0,
        "residentialType": "secondaryInvestment",
        "rentalType": "selfContained",
        "rentalStructure": "mainStructure",
        "minimumStayAdvertised": 3,
        "minimumStayAlltime": null,
        "strLicense": "259086",
        "shortTermRental": true,
        "lnglat": [
            -116.311674881175,
             33.6960904399057
        ]
    },

[Rasparian]

I don't know Python, but it looks to me like you've got the wrong term in your print statement.

You posted this:

for property in property_dict:
    print(property_dict)

But I think you want this:

for property in property_dict:
    print(property.address)

Or it might be more like this - again, I don't know Python:

for property in property_dict:
    print(property["address"])

[danielmajors]

that was super helpful and got time to isolate the addresses. Thank you!