This is a Python client and command line interface (CLI) for the ipdata.co IP Geolocation API. ipdata offers a fast, highly-available API to enrich IP Addresses with Location, Company, Threat Intelligence and numerous other data attributes.
Note that you need an API Key to use this package. You can get a free one with a 1,500 daily request limit by Signing up here.
Visit our Documentation for more examples and tutorials.
Install the latest version of the cli with pip.
pip install ipdata
or easy_install
easy_install ipdata
You need a valid API key from ipdata to use the library. You can get a free key by Signing up here.
Replace test with your API Key in the following examples.
You can look up the calling IP address, that is, the IP address of the computer you are running this on by not passing an IP address to the lookup method.
from ipdata import ipdata
from pprint import pprint
# Create an instance of an ipdata object. Replace `test` with your API Key
ipdata = ipdata.IPData('test')
response = ipdata.lookup()
pprint(response)
You can look up any valid IPv4 or IPv6 address by passing it to the lookup method.
from ipdata import ipdata
from pprint import pprint
# Create an instance of an ipdata object. Replace `test` with your API Key
ipdata = ipdata.IPData('test')
response = ipdata.lookup('69.78.70.144')
pprint(response)
Sample Response
{'asn': {'asn': 'AS6167',
'domain': 'verizonwireless.com',
'name': 'Cellco Partnership DBA Verizon Wireless',
'route': '69.78.0.0/16',
'type': 'business'},
'calling_code': '1',
'carrier': {'mcc': '310', 'mnc': '004', 'name': 'Verizon'},
'city': None,
'continent_code': 'NA',
'continent_name': 'North America',
'count': '1527',
'country_code': 'US',
'country_name': 'United States',
'currency': {'code': 'USD',
'name': 'US Dollar',
'native': '$',
'plural': 'US dollars',
'symbol': '$'},
'emoji_flag': '🇺🇸',
'emoji_unicode': 'U+1F1FA U+1F1F8',
'flag': 'https://ipdata.co/flags/us.png',
'ip': '69.78.70.144',
'is_eu': False,
'languages': [{'name': 'English', 'native': 'English'}],
'latitude': 37.751,
'longitude': -97.822,
'postal': None,
'region': None,
'region_code': None,
'status': 200,
'threat': {'is_anonymous': False,
'is_bogon': False,
'is_known_abuser': False,
'is_known_attacker': False,
'is_proxy': False,
'is_threat': False,
'is_tor': False},
'time_zone': {'abbr': 'CST',
'current_time': '2020-11-08T09:31:10.629425-06:00',
'is_dst': False,
'name': 'America/Chicago',
'offset': '-0600'}}
If you only need a single data attribute about an IP address you can extract it by passing a select_field parameter to the lookup method.
from ipdata import ipdata
from pprint import pprint
# Create an instance of an ipdata object. Replace `test` with your API Key
ipdata = ipdata.IPData('test')
response = ipdata.lookup('8.8.8.8', select_field='asn')
pprint(response)
Response
{'asn': {'asn': 'AS15169',
'domain': 'google.com',
'name': 'Google LLC',
'route': '8.8.8.0/24',
'type': 'hosting'},
'status': 200
If instead you need to get multiple specific fields you can pass a list of valid field names in a fields parameter.
from ipdata import ipdata
from pprint import pprint
# Create an instance of an ipdata object. Replace `test` with your API Key
ipdata = ipdata.IPData('test')
response = ipdata.lookup('8.8.8.8',fields=['ip','asn','country_name'])
pprint(response)
Response
{'asn': {'asn': 'AS15169',
'domain': 'google.com',
'name': 'Google LLC',
'route': '8.8.8.0/24',
'type': 'hosting'},
'country_name': 'United States',
'ip': '8.8.8.8',
'status': 200}
The API provides a /bulk endpoint that allows you to look up upto 100 IP addresses at a time. This is convenient for quickly clearing your backlog.
NOTE: Alternatively it is much simpler to process bulk lookups using the ipdata cli's batch command. All you need is a csv file with a list of IP addresses and you can get your results as either a JSON file or a CSV file! See the CLI Bulk Lookup Documentation for details.
from ipdata import ipdata
from pprint import pprint
# Create an instance of an ipdata object. Replace `test` with your API Key
ipdata = ipdata.IPData('test')
response = ipdata.bulk_lookup(['8.8.8.8','1.1.1.1'])
pprint(response)
Sample Response
{'responses': [{'asn': {'asn': 'AS15169',
'domain': 'google.com',
'name': 'Google LLC',
'route': '8.8.8.0/24',
'type': 'hosting'},
'calling_code': '1',
'city': None,
'continent_code': 'NA',
'continent_name': 'North America',
'count': '1527',
'country_code': 'US',
'country_name': 'United States',
'currency': {'code': 'USD',
'name': 'US Dollar',
'native': '$',
'plural': 'US dollars',
'symbol': '$'},
'emoji_flag': '🇺🇸',
'emoji_unicode': 'U+1F1FA U+1F1F8',
'flag': 'https://ipdata.co/flags/us.png',
'ip': '8.8.8.8',
'is_eu': False,
'languages': [{'name': 'English', 'native': 'English'}],
'latitude': 37.751,
'longitude': -97.822,
'postal': None,
'region': None,
'region_code': None,
'threat': {'is_anonymous': False,
'is_bogon': False,
'is_known_abuser': False,
'is_known_attacker': False,
'is_proxy': False,
'is_threat': False,
'is_tor': False},
'time_zone': {'abbr': 'CST',
'current_time': '2020-11-08T09:34:45.362725-06:00',
'is_dst': False,
'name': 'America/Chicago',
'offset': '-0600'}},
{'asn': {'asn': 'AS13335',
'domain': 'cloudflare.com',
'name': 'Cloudflare, Inc.',
'route': '1.1.1.0/24',
'type': 'hosting'},
'calling_code': '61',
'city': None,
'continent_code': 'OC',
'continent_name': 'Oceania',
'count': '1527',
'country_code': 'AU',
'country_name': 'Australia',
'currency': {'code': 'AUD',
'name': 'Australian Dollar',
'native': '$',
'plural': 'Australian dollars',
'symbol': 'AU$'},
'emoji_flag': '🇦🇺',
'emoji_unicode': 'U+1F1E6 U+1F1FA',
'flag': 'https://ipdata.co/flags/au.png',
'ip': '1.1.1.1',
'is_eu': False,
'languages': [{'name': 'English', 'native': 'English'}],
'latitude': -33.494,
'longitude': 143.2104,
'postal': None,
'region': None,
'region_code': None,
'threat': {'is_anonymous': False,
'is_bogon': False,
'is_known_abuser': False,
'is_known_attacker': False,
'is_proxy': False,
'is_threat': False,
'is_tor': False},
'time_zone': {'abbr': 'AEDT',
'current_time': '2020-11-09T02:34:45.364564+11:00',
'is_dst': True,
'name': 'Australia/Sydney',
'offset': '+1100'}}],
'status': 200}
IPData CLI needs Python 3.8+. Python Windows installation program provides PIP so you can install IPData CLI the same way:
pip install ipdata
ipdata --help
Usage: ipdata [OPTIONS] COMMAND [ARGS]...
CLI for ipdata API
Options:
--api-key TEXT ipdata API Key
--help Show this message and exit.
Commands:
batch
info
init
me
parse
You need a valid API key from ipdata to use the cli. You can get a free key by Signing up here.
ipdata init <API Key>
You can also pass the --api-key <API Key> parameter to any command to specify a different API Key.
Running the ipdata command without any parameters will look up the IP address of the computer you are running the command on. Alternatively you can explicitly look up your own IP address by running ipdata me . You can filter the JSON response with jq to get any specific fields you might be interested in.
ipdata
or
ipdata me
Using jq to filter the responses
ipdata me | jq .country_name
You can pass any valid IPv4 or IPv6 address to the ipdata command to look it up. In case an invalid value is passed you will get the error Error: No such command "1..@1....1..1".
ipdata 8.8.8.8
In case you don't want to use jq to filter responses to get specific fields you can instead pass a fields argument to the ipdata command along with a comma separated list of valid fields. Invalid fields are ignored. It is important to not include any whitespace in the list.
To access fields within nested objects eg. in the case of the asn, languages, currency, time_zone and threat objects, you can get a nested field by using dot notation with the name of the object and the name of the field. For example to get the time_zone name you would use time_zone.name, to get the time_zone abbreviation you would use time_zone.abbr
ipdata 8.8.8.8 --fields ip,country_code
Perhaps the most useful command provided by the CLI is the ability to process a csv file with a list of IP addresses and write the results to file as either CSV or JSON! It could be a list of tens of thousands to millions of IP addresses and it will all be processed and the results filtered to your liking! When you use the JSON output format, the results are written to the output file you provide with one result per line. Each line being a valid and full JSON response object. If you only need a few fields eg. only the country name you can specify a field argument with the names of the fields you want, if you combine this with the CSV output format you will get very clean results with only the data you need!
ipdata batch my_ip_backlog.csv --output geolocation_results.json
ipdata batch my_ip_backlog.csv --output results.csv --output-format CSV --fields ip,country_code
The --fields option is required in case of CSV output.
# ip,country_code
107.175.75.83,US
35.155.95.229,US
13.0.0.164,US
209.248.120.14,US
142.0.202.238,US
...
A list of all the fields returned by the API is maintained at Response Fields
The parse command is for filtering GZipped JSON output of IPData from one or many files:
ipdata parse 2021-02-02.json.gz 2021-02-03.json.gzFields filtering acts the same as in batch command: --fields ip,country_code.
By default, the command outputs to stdout. There is an option --output <file> to save filtered data to the file.
A list of possible errors is available at Status Codes
To run all tests
python -m unittest