Python读取csv逐行读取并循环功能到Google Geocode API

Question

我需要通过Google地理编码API对经/纬度进行反向查找，并返回其提供的地址。

如果返回的地址不止一个，我希望将其追加为另一行。

我引用了this thread并尽了最大可能对其进行了修改，但是我认为urllib.parse.quote文章中缺少关键的内容。

input.csv

"site_inst","lat","long"
"1","33.873859","-118.290922"
"2","34.06139","-117.674721"
"3","33.911388","-118.208885"

python

import csv
import urllib
import urllib.request
import json

googleGeocodeUrl = 'https://maps.googleapis.com/maps/api/geocode/json?latlng={},{}&key={}&result_type={}'
result_type = 'street_address'
key = '123'

with open('input.csv', newline='') as f_input, open('output.csv', 'w', newline='') as f_output:
    csv_input = csv.reader(f_input)
    csv_output = csv.writer(f_output)
    csv_output.writerow(['formatted_address', 'lat', 'long'])

    for site_inst, lat, long in csv_input:
        url = googleGeocodeUrl.format(urllib.parse.quote(site_inst), lat, long, key, result_type)
        json_response = urllib.request.urlopen(url)
        search = json_response.read().decode('utf-8')
        searchjson = json.loads(search)

        for place in searchjson['results']:
            row = [place['formatted_address'], place['geometry']['location']['lng'], place['geometry']['location']['lat']]
            # Output to CSV
            # csv_output.writerow(row)
            # Output to jupyter notebook for review
            print(row)

api输出

{
    "plus_code": {
        "compound_code": "VPF5+GJ Los Angeles, CA, USA",
        "global_code": "8553VPF5+GJ"
    },
    "results": [
        {
            "address_components": [
                {
                    "long_name": "17257",
                    "short_name": "17257",
                    "types": [
                        "street_number"
                    ]
                },
                {
                    "long_name": "Vermont Avenue",
                    "short_name": "Vermont Ave",
                    "types": [
                        "route"
                    ]
                },
                {
                    "long_name": "Gardena",
                    "short_name": "Gardena",
                    "types": [
                        "locality",
                        "political"
                    ]
                },
                {
                    "long_name": "Los Angeles County",
                    "short_name": "Los Angeles County",
                    "types": [
                        "administrative_area_level_2",
                        "political"
                    ]
                },
                {
                    "long_name": "California",
                    "short_name": "CA",
                    "types": [
                        "administrative_area_level_1",
                        "political"
                    ]
                },
                {
                    "long_name": "United States",
                    "short_name": "US",
                    "types": [
                        "country",
                        "political"
                    ]
                },
                {
                    "long_name": "90247",
                    "short_name": "90247",
                    "types": [
                        "postal_code"
                    ]
                }
            ],
            "formatted_address": "17257 Vermont Ave, Gardena, CA 90247, USA",
            "geometry": {
                "location": {
                    "lat": 33.8738528,
                    "lng": -118.2909792
                },
                "location_type": "RANGE_INTERPOLATED",
                "viewport": {
                    "northeast": {
                        "lat": 33.8752017802915,
                        "lng": -118.2896302197085
                    },
                    "southwest": {
                        "lat": 33.87250381970851,
                        "lng": -118.2923281802915
                    }
                }
            },
            "place_id": "EikxNzI1NyBWZXJtb250IEF2ZSwgR2FyZGVuYSwgQ0EgOTAyNDcsIFVTQSIcEhoKFAoSCSdCkf6YysKAEXwSueZbsvC5EOmGAQ",
            "types": [
                "street_address"
            ]
        }
    ],
    "status": "OK"
}

所需的csv输出

"site_inst","lat","long","formatted_address"
"1","33.873859","-118.290922","17257 Vermont Ave, Gardena, CA 90247, USA"
"2","34.06139","-117.674721","1267 Brooks St, Ontario, CA 91762, USA"
"2","34.06139","-117.674721","1269 Brooks St, Ontario, CA 91762, USA"
"3","33.911388","-118.208885","3646 N Long Beach Blvd, Compton, CA 90221, USA"
"3","33.911388","-118.208885","2289 N Long Beach Blvd, Compton, CA 90221, USA"

如果我也可以将“ address_components”另存为列，那将是惊人的，但我首先需要基本功能和4个字段。

任何提示都很棒。