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ipinfo
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Description

Official Python Library for IPinfo API (IP geolocation and other types of IP data)

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IPinfo IPinfo Python Client Library

This is the official Python client library for the IPinfo.io IP address API, allowing you to lookup your own IP address, or get any of the following details for an IP:

  • IP geolocation / geoIP data (city, region, country, postal code, latitude and longitude)
  • ASN details (ISP or network operator, associated domain name, and type, such as business, hosting or company)
  • Firmographics data (the name and domain of the business that uses the IP address)
  • Carrier information (the name of the mobile carrier and MNC and MCC for that carrier if the IP is used exclusively for mobile traffic)

Getting Started

You'll need an IPinfo API access token, which you can get by singing up for a free account at https://ipinfo.io/signup.

The free plan is limited to 50,000 requests per month, and doesn't include some of the data fields such as IP type and company data. To enable all the data fields and additional request volumes see https://ipinfo.io/pricing

Installation

This package works with Python 3.5 or greater. However, we only officially support non-EOL Python versions.

pip install ipinfo

Quick Start

>>> import ipinfo
>>> access_token = '123456789abc'
>>> handler = ipinfo.getHandler(access_token)
>>> ip_address = '216.239.36.21'
>>> details = handler.getDetails(ip_address)
>>> details.city
'Mountain View'
>>> details.loc
'37.3861,-122.0840'

Async/Await

An asynchronous handler is available as well, and can be accessed and used in almost the same exact way as the synchronous handler:

>>> import ipinfo
>>> access_token = '123456789abc'
>>> handler = ipinfo.getHandlerAsync(access_token)
>>> ip_address = '216.239.36.21'
>>> async def do_req():
...     details = await handler.getDetails(ip_address)
...     print(details.city)
...     print(details.loc)
...
>>>
>>> import asyncio
>>> loop = asyncio.get_event_loop()
>>> loop.run_until_complete(do_req())
Mountain View
37.4056,-122.0775
>>>
>>> ip_address = '1.1.1.1'
>>> loop.run_until_complete(do_req())
New York City
40.7143,-74.0060

Internally the library uses 

aiohttp
, but as long as you provide an event loop (as in this example via 
asyncio
), it shouldn't matter.

Usage

The 

Handler.getDetails()
method accepts an IP address as an optional, positional argument. If no IP address is specified, the API will return data for the IP address from which it receives the request. 
>>> import ipinfo
>>> access_token = '123456789abc'
>>> handler = ipinfo.getHandler(access_token)
>>> details = handler.getDetails()
>>> details.city
'Mountain View'
>>> details.loc
'37.3861,-122.0840'

Authentication

The IPinfo library can be authenticated with your IPinfo API token, which is passed in as a positional argument. It also works without an authentication token, but in a more limited capacity.

>>> import ipinfo
>>> handler = ipinfo.getHandler(access_token='123456789abc')

Details Data

handler.getDetails()
will return a 
Details
object that contains all fields listed in the IPinfo developer docs with a few minor additions. Properties can be accessed directly. 
>>> details.hostname
'any-in-2415.1e100.net'

Country Name

details.country_name
will return the country name, as supplied by the 
countries.json
file. See below for instructions on changing that file for use with non-English languages. 
details.country
will still return country code. 
>>> details.country
'US'
>>> details.country_name
'United States'

Longitude and Latitude

details.latitude
and 
details.longitude
will return latitude and longitude, respectively, as strings. 
details.loc
will still return a composite string of both values. 
>>> details.loc
'37.3861,-122.0840'
>>> details.latitude
'37.3861'
>>> details.longitude
'-122.0840'

Accessing all properties

details.all
will return all details data as a dictionary. 
>>> import pprint
>>> pprint.pprint(details.all)
{'abuse': {'address': 'US, CA, Mountain View, 1600 Amphitheatre Parkway, 94043',
           'country': 'US',
           'email': '[email protected]',
           'name': 'Abuse',
           'network': '216.239.32.0/19',
           'phone': '+1-650-253-0000'},
 'asn': {'asn': 'AS15169',
         'domain': 'google.com',
         'name': 'Google LLC',
         'route': '216.239.36.0/24',
         'type': 'business'},
 'city': 'Mountain View',
 'company': {'domain': 'google.com', 'name': 'Google LLC', 'type': 'business'},
 'country': 'US',
 'country_name': 'United States',
 'hosting': {'host': 'google',
             'id': 'GOOGLE',
             'name': 'Google LLC',
             'network': '216.239.32.0/19'},
 'hostname': 'any-in-2415.1e100.net',
 'ip': '216.239.36.21',
 'latitude': '37.3861',
 'loc': '37.3861,-122.0840',
 'longitude': '-122.0840',
 'postal': '94035',
 'region': 'California',
 'timezone': 'America/Los_Angeles'}

Caching

In-memory caching of 

details
data is provided by default via the cachetools library. This uses an LRU (least recently used) cache with a TTL (time to live) by default. This means that values will be cached for the specified duration; if the cache's max size is reached, cache values will be invalidated as necessary, starting with the oldest cached value.

Modifying cache options

Cache behavior can be modified by setting the 

cache_options
keyword argument. 
cache_options
is a dictionary in which the keys are keyword arguments specified in the 
cachetools
library. The nesting of keyword arguments is to prevent name collisions between this library and its dependencies.
  • Default maximum cache size: 4096 (multiples of 2 are recommended to increase efficiency)
  • Default TTL: 24 hours (in seconds)
>>> import ipinfo
>>> handler = ipinfo.getHandler(cache_options={'ttl':30, 'maxsize': 128})

Using a different cache

It's possible to use a custom cache by creating a child class of the CacheInterface class and passing this into the handler object with the 

cache
keyword argument. FYI this is known as the Strategy Pattern. 
import ipinfo
from ipinfo.cache.interface import CacheInterface


class MyCustomCache(CacheInterface):
    ...


handler = ipinfo.getHandler(cache=MyCustomCache())

Accessing the cache directly

You can access/update the cache directly via dictionary-like notation.

>>> import ipinfo
>>> from ipinfo.handler_utils import cache_key
>>>
>>> access_token = '123456789abc'
>>> handler = ipinfo.getHandler(access_token)
>>> ip_cache_key = cache_key('1.1.1.1')


Check if IP is in the cache.


>>> ip_cache_key in handler.cache
True


Get the IP's details from cache.


>>> handler.cache[ip_cache_key]
{'ip': '1.1.1.1', 'hostname': 'one.one.one.one', 'anycast': True, 'city': 'Miami', 'region': 'Florida', 'country': 'US', 'loc': '25.7867,-80.1800', 'org': 'AS13335 Cloudflare, Inc.', 'postal': '33132', 'timezone': 'America/New_York', 'country_name': 'United States', 'latitude': '25.7867', 'longitude': '-80.1800'}


Set the IP's details to something else in the cache.


>>> handler.cache[ip_cache_key] = None


Delete the IP from the cache.


>>> del handler.cache[ip_cache_key]

Modifying request options

Note: the asynchronous handler currently only accepts the 

timeout
option, input the same way as shown below.

Request behavior can be modified by setting the 

request_options
keyword argument. 
request_options
is a dictionary in which the keys are keyword arguments specified in the 
requests
library. The nesting of keyword arguments is to prevent name collisions between this library and its dependencies.
  • Default request timeout: 2 seconds
>>> handler = ipinfo.getHandler(request_options={'timeout': 4})

Internationalization

When looking up an IP address, the response object includes a 

details.country_name
attribute which includes the country name based on American English. It is possible to return the country name in other languages by setting the 
countries_file
keyword argument when creating the 
IPinfo
object.

The file must be a 

.json
file with the following structure: 
{
  "BD": "Bangladesh",
  "BE": "Belgium",
  "BF": "Burkina Faso",
  "BG": "Bulgaria",
  ...
}

Batch Operations

Looking up a single IP at a time can be slow. It could be done concurrently from the client side, but IPinfo supports a batch endpoint to allow you to group together IPs and let us handle retrieving details for them in bulk for you.

>>> import ipinfo, pprint
>>> access_token = '123456789abc'
>>> handler = ipinfo.getHandler(access_token)
>>> pprint.pprint(handler.getBatchDetails([
...   '1.1.1.1',
...   '8.8.8.8',
...   '1.2.3.4/country',
... ]))
{'1.1.1.1': {'city': '',
             'country': 'AU',
             'country_name': 'Australia',
             'hostname': 'one.one.one.one',
             'ip': '1.1.1.1',
             'latitude': '-33.4940',
             'loc': '-33.4940,143.2100',
             'longitude': '143.2100',
             'org': 'AS13335 Cloudflare, Inc.',
             'region': ''},
 '1.2.3.4/country': 'US',
 '8.8.8.8': {'city': 'Mountain View',
             'country': 'US',
             'country_name': 'United States',
             'hostname': 'dns.google',
             'ip': '8.8.8.8',
             'latitude': '37.3860',
             'loc': '37.3860,-122.0838',
             'longitude': '-122.0838',
             'org': 'AS15169 Google LLC',
             'postal': '94035',
             'region': 'California',
             'timezone': 'America/Los_Angeles'}}

The input size is not limited, as the interface will chunk operations for you behind the scenes.

Please see the official documentation for more information and limitations.

Other Libraries

There are official IPinfo client libraries available for many languages including PHP, Go, Java, Ruby, and many popular frameworks such as Django, Rails and Laravel. There are also many third party libraries and integrations available for our API.

About IPinfo

Founded in 2013, IPinfo prides itself on being the most reliable, accurate, and in-depth source of IP address data available anywhere. We process terabytes of data to produce our custom IP geolocation, company, carrier, VPN detection, hosted domains, and IP type data sets. Our API handles over 40 billion requests a month for 100,000 businesses and developers.

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