IP Demographics API

IP Demographics combines IP geolocation with Census demographic data to provide demographic information for any IP address. Get location, income, education, and housing data based on the IP's geographic location. Demographics cover US ZIP codes; other locations return the location with demographics set to null.

This is a Python wrapper for the IP Demographics API

Installation

Using pip:

pip install apiverve-ipdemographics

Using pip3:

pip3 install apiverve-ipdemographics

Configuration

Before using the IP Demographics API client, you have to setup your account and obtain your API Key. You can get it by signing up at https://apiverve.com

Quick Start

Here's a simple example to get you started quickly:

from apiverve_ipdemographics.apiClient import IpdemographicsAPIClient

# Initialize the client with your APIVerve API key
api = IpdemographicsAPIClient("[YOUR_API_KEY]")

query = { "ip": "173.172.81.20" }

try:
    # Make the API call
    result = api.execute(query)

    # Print the result
    print(result)
except Exception as e:
    print(f"Error: {e}")

Usage

The IP Demographics API documentation is found here: https://docs.apiverve.com/ref/ipdemographics. You can find parameters, example responses, and status codes documented here.

Setup

# Import the client module
from apiverve_ipdemographics.apiClient import IpdemographicsAPIClient

# Initialize the client with your APIVerve API key
api = IpdemographicsAPIClient("[YOUR_API_KEY]")

Perform Request

Using the API client, you can perform requests to the API.

Define Query

query = { "ip": "173.172.81.20" }

Simple Request

# Make a request to the API
result = api.execute(query)

# Print the result
print(result)

Example Response

{
  "status": "ok",
  "error": null,
  "data": {
    "ip": "8.8.8.8",
    "location": {
      "zip": "94043",
      "city": "Mountain View",
      "state": "California",
      "stateCode": "CA",
      "country": "United States",
      "countryCode": "US",
      "latitude": 37.4056,
      "longitude": -122.0775,
      "timezone": "America/Los_Angeles"
    },
    "demographics": {
      "population": 81234,
      "medianAge": 34.5,
      "medianHouseholdIncome": 142567,
      "perCapitaIncome": 78234,
      "medianHomeValue": 1875000,
      "collegeEducatedPct": 68.3,
      "unemploymentRate": 3.2,
      "homeOwnershipRate": 45.6
    },
    "acsYear": 2022,
    "formatted": {
      "medianHouseholdIncome": "$142,567",
      "perCapitaIncome": "$78,234",
      "medianHomeValue": "$1,875,000"
    }
  }
}

Error Handling

The API client provides comprehensive error handling through the IpdemographicsAPIClientError exception. Here are some examples:

Basic Error Handling

from apiverve_ipdemographics.apiClient import IpdemographicsAPIClient, IpdemographicsAPIClientError

api = IpdemographicsAPIClient("[YOUR_API_KEY]")

query = { "ip": "173.172.81.20" }

try:
    result = api.execute(query)
    print("Success!")
    print(result)
except IpdemographicsAPIClientError as e:
    print(f"API Error: {e.message}")
    if e.status_code:
        print(f"Status Code: {e.status_code}")
    if e.response:
        print(f"Response: {e.response}")

Handling Specific Error Types

from apiverve_ipdemographics.apiClient import IpdemographicsAPIClient, IpdemographicsAPIClientError

api = IpdemographicsAPIClient("[YOUR_API_KEY]")

query = { "ip": "173.172.81.20" }

try:
    result = api.execute(query)

    # Check for successful response
    if result.get('status') == 'success':
        print("Request successful!")
        print(result.get('data'))
    else:
        print(f"API returned an error: {result.get('error')}")

except IpdemographicsAPIClientError as e:
    # Handle API client errors
    if e.status_code == 401:
        print("Unauthorized: Invalid API key")
    elif e.status_code == 429:
        print("Rate limit exceeded")
    elif e.status_code >= 500:
        print("Server error - please try again later")
    else:
        print(f"API error: {e.message}")
except Exception as e:
    # Handle unexpected errors
    print(f"Unexpected error: {str(e)}")

Using Context Manager (Recommended)

The client supports the context manager protocol for automatic resource cleanup:

from apiverve_ipdemographics.apiClient import IpdemographicsAPIClient, IpdemographicsAPIClientError

query = { "ip": "173.172.81.20" }

# Using context manager ensures proper cleanup
with IpdemographicsAPIClient("[YOUR_API_KEY]") as api:
    try:
        result = api.execute(query)
        print(result)
    except IpdemographicsAPIClientError as e:
        print(f"Error: {e.message}")
# Session is automatically closed here

Advanced Features

Debug Mode

Enable debug logging to see detailed request and response information:

from apiverve_ipdemographics.apiClient import IpdemographicsAPIClient

# Enable debug mode
api = IpdemographicsAPIClient("[YOUR_API_KEY]", debug=True)

query = { "ip": "173.172.81.20" }

# Debug information will be printed to console
result = api.execute(query)

Manual Session Management

If you need to manually manage the session lifecycle:

from apiverve_ipdemographics.apiClient import IpdemographicsAPIClient

api = IpdemographicsAPIClient("[YOUR_API_KEY]")

query = { "ip": "173.172.81.20" }

try:
    result = api.execute(query)
    print(result)
finally:
    # Manually close the session when done
    api.close()

Customer Support

Need any assistance? Get in touch with Customer Support.

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License

Licensed under the MIT License (MIT)

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