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import json | |
import csv | |
import requests | |
import os | |
""" | |
Simple tool to fetch the lat, lng coordinates of a list of addresses. | |
Requirements: | |
1. The tool requires "requests", a popular Python package, which can be | |
installed with "pip install requests". | |
2. This requires an API_KEY for the Google Maps Platform which can be obtained | |
by following the instructions here ... | |
https://developers.google.com/maps/documentation/geocoding/get-api-key | |
3. The tool requires an API_KEY for getaddresses.io, contact [email protected] for details | |
4. The tool requires a CSV file loaded with all the postcodes for the area of interest to be present in the same directory and named 'postcodes.csv' | |
""" | |
ADDRESS_API_KEY = "adresses.io-api-key" | |
GMAPS_API_KEY = "google-maps-geocoding-api-key" | |
addressURL = "https://api.getAddress.io/find/" | |
geocodeURL = "https://maps.googleapis.com/maps/api/geocode/json" | |
addresses = [] | |
def get_addresses(postcode): | |
"""Return the addresses for a given postcode. | |
Inputs: | |
postcode (str): e.g. "NE1 7RU" | |
Returns: | |
address (list): e.g. ["Newcastle University, Newcastle upon Tyne, UK"] | |
""" | |
print("Fetching addresses for " + postcode) | |
r = requests.get(addressURL + postcode + "?api-key=" + ADDRESS_API_KEY) | |
data = r.json() | |
return data["addresses"] | |
def get_location(address): | |
"""Return the location of an address. | |
Inputs: | |
address (str): e.g. "Newcastle University, Newcastle upon Tyne, UK" | |
Returns: | |
location (tuple): (lat, lng) | |
""" | |
params = {"key": GMAPS_API_KEY, "address": address} | |
repsonse = requests.get(geocodeURL, params) | |
results = repsonse.json()["results"] | |
location = results[0]["geometry"]["location"] | |
return (location["lat"], location["lng"]) | |
def main(): | |
# open the postcodes file | |
file = open(os.path.join("postcodes.csv"), "rU") | |
reader = csv.reader(file, delimiter=",") | |
# write addresses to file for backup | |
with open('addresses.csv', 'w', newline='') as file: | |
writer = csv.writer(file) | |
writer.writerow(["Address,Postcode"]) | |
for row in reader: | |
postcode = row[0] | |
postcode_addresses = (get_addresses(postcode)) | |
# add addresses to global list | |
addresses.extend(postcode_addresses) | |
for address in postcode_addresses: | |
writer.writerow([address,postcode]) | |
with open('locations.csv', 'w', newline='') as file: | |
writer = csv.writer(file) | |
writer.writerow(["Location"]) | |
# fetch a geolocation for every address | |
for address in addresses: | |
location = get_location(address) | |
print(location) | |
writer.writerow([location]) | |
if __name__ == '__main__': | |
main() |
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