1. Can Python be used to send requests to the Nobil API? #

Absolutely! The Nobil API accepts standard HTTP POST requests, so Python (with libraries like requests) is a perfect fit. You don’t need to rely on jQuery—Python can handle all the request details directly, just like any other language that supports HTTP communication.

2. How to integrate the API key in Python code? #

Here’s a complete, ready-to-use code example that replicates the JavaScript snippet you shared, using Python’s popular requests library (first install it via pip install requests if you haven’t already):

import requests

# Replace this with your actual Nobil API key
NOBIL_API_KEY = "your_api_key_here"

# API endpoint URL from the documentation
api_url = "https://nobil.no/api/server/search.php"

# Request payload matching the parameters in your JavaScript example
request_data = {
    "apikey": NOBIL_API_KEY,
    "apiversion": "3",
    "action": "search",
    "type": "rectangle",
    "northeast": "(59.943921193288915, 10.826683044433594)",
    "southwest": "(59.883683240905256, 10.650901794433594)",
    "existingids": "189,195,199,89,48"
}

try:
    # Send the POST request with JSON-formatted data
    response = requests.post(api_url, json=request_data)
    
    # Raise an error if the request fails (e.g., invalid API key, network issues)
    response.raise_for_status()
    
    # Parse the JSON response into a Python dictionary
    api_results = response.json()
    print("Success! API Response:", api_results)

except requests.exceptions.RequestException as e:
    print("Request failed:", str(e))

Key Details: #

• API Key Integration: The apikey field in the request_data dictionary is where you insert your valid API key—just replace "your_api_key_here" with your actual key.
• Payload Structure: This mirrors exactly the parameters from your JavaScript example, so all spatial and filter parameters are preserved.
• Error Handling: The try-except block catches common issues like network errors, invalid API keys (401 status), or missing parameters, making debugging easier.
• Response Parsing: response.json() converts the API’s JSON output into a Python dictionary, which you can then manipulate or analyze as needed.

If you ever need to send form-encoded data instead of JSON (though the original example uses JSON), you can swap json=request_data with data=request_data in the requests.post call.

内容的提问来源于stack exchange，提问作者chrisGIS