Batch Geocode a Large Number of Addresses Using The ArcGIS Geocoding API

Python script for batch geocoding addresses using the ArcGIS Geocoding API

This script automates the process of batch geocoding a large number of addresses using the ArcGIS Geocoding API. It reads in a list of addresses from a CSV file, geocodes each address using the API, and writes the resulting locations (matching addresses and coordinates) to a new CSV file.

# This script automates the process of batch geocoding a large number of addresses using the ArcGIS Geocoding API.

## Import necessary libraries

import csv  # for reading and writing CSV files
import requests  # for making HTTP requests

## Set up the API endpoint and your API key

endpoint = "https://geocode.arcgis.com/arcgis/rest/services/World/GeocodeServer/findAddressCandidates"
key = "YOUR_API_KEY"  # replace with your own API key

## Read in the input addresses from a CSV file

# Open the input CSV file in read mode
with open("input_addresses.csv", "r") as f:
    # Create a CSV reader object
    reader = csv.reader(f)
    # Extract the addresses from the first column of the CSV file and store them in a list
    addresses = [row[0] for row in reader]

## Set up the request parameters

params = {
    "f": "json",  # the response format is JSON
    "outFields": "Match_addr",  # include the matching address in the response
    "maxLocations": "1",  # return only one result per address
    "forStorage": "false",  # do not store the results for later use
    "singleLine": "",  # the address to geocode (will be set in the loop below)
}

## Initialize a list to store the results

results = []

## Geocode the addresses one by one

# Iterate over the list of addresses
for address in addresses:
    # Set the singleLine parameter to the current address
    params["singleLine"] = address
    # Make a request to the API endpoint
    response = requests.get(endpoint, params=params, timeout=10)
    # If the request was successful (status code 200)
    if response.status_code == 200:
        # Get the JSON data from the response
        data = response.json()
        # If there are any candidates (possible matches)
        if data["candidates"]:
            # Get the first candidate
            candidate = data["candidates"][0]
            # Extract the matching address and coordinates from the candidate
            match_addr = candidate["address"]
            x = candidate["location"]["x"]
            y = candidate["location"]["y"]
            # Add the result (address, matching address, x, y) to the results list
            results.append([address, match_addr, x, y])

## Write the results to a CSV file

# Open the output CSV file in write mode
with open("output_locations.csv", "w", newline="") as f:
    # Create a CSV writer object
    writer = csv.writer(f)
    # Write the results to the CSV file
    writer.writerows(results)

Prerequisites

  • You will need to have Python installed on your computer. You can download the latest version of Python from the official website at https://www.python.org/.
  • You will need to obtain an API key from ArcGIS. You can sign up for a free ArcGIS Developer account at https://developers.arcgis.com/ and request a free API key.

Setup

  1. Clone or download this repository to your computer.
  2. Navigate to the directory where you saved the script.
  3. Replace YOUR_API_KEY with your actual API key on line 6 of the script.
  4. Create a CSV file called input_addresses.csv containing a single column of addresses, with each address in a separate row. For example:1600 Pennsylvania Ave NW, Washington, DC 20500 221B Baker St, London, England Leaning Tower of Pisa, Piazza del Duomo, 56126 Pisa PI, Italy Mount Everest, Nepal Eiffel Tower, Champ de Mars, 5 Avenue Anatole France, 75007 Paris, France

Usage

To run the script, open a terminal or command prompt and navigate to the directory where you saved the script. Then run the following command:

python batch_geocode.py

The script will read in the addresses from the input_addresses.csv file, geocode each address using the ArcGIS Geocoding API, and write the resulting locations (matching addresses and coordinates) to a new CSV file called output_locations.csv.

Customization

You can customize the script to suit your specific needs and preferences. Here are a few examples of how you can modify the script:

  • Change the endpoint URL to use a different geocoding service or API.
  • Add or modify request parameters to customize the results. For example, you can specify a different output spatial reference or set the magicKey parameter to improve the accuracy of the results.
  • Modify the output fields to include additional information in the results. For example, you can include the score field to indicate the confidence level of the match.
  • Use the script as a starting point and build upon it to create more complex automation tasks, such as batch geocoding addresses and then adding the resulting locations to a map or GIS dataset.

By Amin Beheshti

Software Engineer & Content Creator

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