Skip to main content

IP2Location Python CSV Converter

This Python script converts IP2Location CSV data file, that contains the IP address in numeric notation, into dot-decimal notation (such as x.x.x.x) or CIDR notation (x.x.x.x/24). It supports both the IP2Location commercial edition, DB1 to DB26 database and also the free edition, IP2Location LITE database. This converter also supports the conversion of the CSV file to parquet or SQLite DB file. In addition to this, this converter can also be used to convert any CSV file that contains the IP number (the numeric notation).

You can download the IP2Location CSV file at the below links:

Please do not use this script to convert IP2Location BIN data file. It only support the CSV format, not the binary format.

Requirement

This script require ipaddress to work. For Python3 user, it is already been installed as part of Python3 standard library. For Python2 user, if you do not have the library installed, you can install the library by running the following command:

pip install ipaddress

For Windows user, please install this library win_inet_pton before using this script, you can install the library by running the following command:

pip install win-inet-pton

Installation

You can install the script by using pip command:

pip install ip2location-python-csv-converter

For Arch Linux user, you can also install the script by using the following commands:

git clone https://aur.archlinux.org/ip2location-python-csv-converter.git && cd ip2location-python-csv-converter
makepkg -si

Usage

ip2location-csv-converter [-range | -cidr | -hex | -parquet | -sqlite] [-replace | -append] [database_type] INPUT_FILE OUTPUT_FILE

Parameters

Parameter Description
-range IP numbers will be converted into the first IP address and last IP address in the range.
-cidr IP numbers will be converted into CIDR format.
-hex IP numbers will be converted into hexadecimal format. (auto padding)
-hex4 IP numbers will be converted into hexadecimal format. (pad IPv4)
-hex6 IP numbers will be converted into hexadecimal format. (pad IPv6)
-parquet Convert IP2Location/IP2Proxy CSV file to a custom parquet file.
-sqlite Convert IP2Location/IP2Proxy CSV file to a custom SQLite DB file.
-replace The IP numbers in will be replaced to the selected format.
-append The converted format will be appended after the IP numbers field.

Example:

Sample Input
"17170432","17301503","IN","India"
"17301504","17367039","CN","China"
"17367040","17432575","MY","Malaysia"
"17432576","17435135","CN","China"
"17435136","17435391","AU","Australia"
"17435392","17465343","CN","China"
"17465344","17498111","TH","Thailand"
"17498112","17563647","KR","Korea, Republic of"
"17563648","17825791","CN","China"
"17825792","17842175","KR","Korea, Republic of"
Convert into range with replace option:

Command:

ip2location-csv-converter -range -replace IP2LOCATION-DB1.CSV IP2LOCATION-DB1.NEW.CSV

Output:

"1.6.0.0","1.7.255.255","IN","India"
"1.8.0.0","1.8.255.255","CN","China"
"1.9.0.0","1.9.255.255","MY","Malaysia"
"1.10.0.0","1.10.9.255","CN","China"
"1.10.10.0","1.10.10.255","AU","Australia"
"1.10.11.0","1.10.127.255","CN","China"
"1.10.128.0","1.10.255.255","TH","Thailand"
"1.11.0.0","1.11.255.255","KR","Korea, Republic of"
"1.12.0.0","1.15.255.255","CN","China"
"1.16.0.0","1.16.63.255","KR","Korea, Republic of"
Convert into CIDR with replace option:

Command:

ip2location-csv-converter -cidr -replace IP2LOCATION-DB1.CSV IP2LOCATION-DB1.NEW.CSV

Output:

"1.6.0.0/15","IN","India"
"1.8.0.0/16","CN","China"
"1.9.0.0/16","MY","Malaysia"
"1.10.0.0/21","CN","China"
"1.10.8.0/23","CN","China"
"1.10.10.0/24","AU","Australia"
"1.10.11.0/24","CN","China"
"1.10.12.0/22","CN","China"
"1.10.16.0/20","CN","China"
"1.10.32.0/19","CN","China"
Convert into hexadecimal with replace option:

Command:

ip2location-csv-converter -hex -replace IP2LOCATION-DB1.CSV IP2LOCATION-DB1.NEW.CSV

Output:

"01060000","0107ffff","IN","India"
"01080000","0108ffff","CN","China"
"01090000","0109ffff","MY","Malaysia"
"010a0000","010a09ff","CN","China"
"010a0a00","010a0aff","AU","Australia"
"010a0b00","010a7fff","CN","China"
"010a8000","010affff","TH","Thailand"
"010b0000","010bffff","KR","Korea, Republic of"
"010c0000","010fffff","CN","China"
"01100000","01103fff","KR","Korea, Republic of"
Convert into range with append option:

Command:

ip2location-csv-converter -range -append IP2LOCATION-DB1.CSV IP2LOCATION-DB1.NEW.CSV

Output:

"17170432","17301503","1.6.0.0","1.7.255.255","IN","India"
"17301504","17367039","1.8.0.0","1.8.255.255","CN","China"
"17367040","17432575","1.9.0.0","1.9.255.255","MY","Malaysia"
"17432576","17435135","1.10.0.0","1.10.9.255","CN","China"
"17435136","17435391","1.10.10.0","1.10.10.255","AU","Australia"
"17435392","17465343","1.10.11.0","1.10.127.255","CN","China"
"17465344","17498111","1.10.128.0","1.10.255.255","TH","Thailand"
"17498112","17563647","1.11.0.0","1.11.255.255","KR","Korea, Republic of"
"17563648","17825791","1.12.0.0","1.15.255.255","CN","China"
"17825792","17842175","1.16.0.0","1.16.63.255","KR","Korea, Republic of"
Convert into CIDR with append option:

Command:

ip2location-csv-converter -cidr -append IP2LOCATION-DB1.CSV IP2LOCATION-DB1.NEW.CSV

Output:

"17170432","17301503","1.6.0.0/15","IN","India"
"17301504","17367039","1.8.0.0/16","CN","China"
"17367040","17432575","1.9.0.0/16","MY","Malaysia"
"17432576","17435135","1.10.0.0/21","CN","China"
"17432576","17435135","1.10.8.0/23","CN","China"
"17435136","17435391","1.10.10.0/24","AU","Australia"
"17435392","17465343","1.10.11.0/24","CN","China"
"17435392","17465343","1.10.12.0/22","CN","China"
"17435392","17465343","1.10.16.0/20","CN","China"
"17435392","17465343","1.10.32.0/19","CN","China"
"17435392","17465343","1.10.64.0/18","CN","China"
"17465344","17498111","1.10.128.0/17","TH","Thailand"
"17498112","17563647","1.11.0.0/16","KR","Korea, Republic of"
"17563648","17825791","1.12.0.0/14","CN","China"
"17825792","17842175","1.16.0.0/18","KR","Korea, Republic of"
Convert into hexadecimal with append option:

Command:

ip2location-csv-converter -hex -append IP2LOCATION-DB1.CSV IP2LOCATION-DB1.NEW.CSV

Output:

"01060000","0107ffff","17170432","17301503","IN","India"
"01080000","0108ffff","17301504","17367039","CN","China"
"01090000","0109ffff","17367040","17432575","MY","Malaysia"
"010a0000","010a09ff","17432576","17435135","CN","China"
"010a0a00","010a0aff","17435136","17435391","AU","Australia"
"010a0b00","010a7fff","17435392","17465343","CN","China"
"010a8000","010affff","17465344","17498111","TH","Thailand"
"010b0000","010bffff","17498112","17563647","KR","Korea, Republic of"
"010c0000","010fffff","17563648","17825791","CN","China"
"01100000","01103fff","17825792","17842175","KR","Korea, Republic of"

Custom Input File

You can use this converter for a custom input file provided the input is in CSV format, with the first and second field contain the ip from and ip to information in numeric format.

Parquet conversion

You can convert any IP2Location or IP2Proxy CSV file to a parquet file using this converter. The command will be:

ip2location-csv-converter -parquet <database_type> <input_csv_filename> <output_parquet_filename>

You can get the database type of the IP2Location or IP2Proxy CSV file from the below link:

For IPv6, due to the current limitation of the Decimal data type in parquet, the converter will encode the IPv6 number to hex string and stored as varchar. Hence, you will need to do some pre-conversion during the query time.

Below is one of the example demonstrate on the per-conversion of an IPv6 address before query:

import ipaddress

# Example IPv6 address
ipv6_addr = "2001:db8::1"

# Convert to integer
ipv6_int = int(ipaddress.IPv6Address(ipv6_addr))

# Convert to zero-padded 32-character lowercase hex string
ipv6_hex = format(ipv6_int, "032x")

To query using the hex IPv6 address, the code can looks like this:

import duckdb

result = duckdb.query(f"""
    SELECT * FROM '<ipv6_parquet_filename>'
    WHERE ipv6_hex = '{ipv6_hex}'
""").to_df()

SQLite DB conversion

You can convert any IP2Location or IP2Proxy CSV file to a SQLite DB file using this converter. The command will be:

ip2location-csv-converter -sqlite <database_type> <input_csv_filename> <output_db_filename> <table_name>

Note that the table_name is optional and if no supplied, the table will be named as the database type, for example DB1.

You can get the database type of the IP2Location or IP2Proxy CSV file from the below link:

Support

URL: https://www.ip2location.com

Metadata

Release files for ip2location-python-csv-converter 1.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ip2location-python-csv-converter 1.5.0
File Size Uploaded
ip2location_python_csv_converter-1.5.0.tar.gz 14.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ip2location-python-csv-converter 1.5.0
File Interpreter ABI Platform
ip2location_python_csv_converter-1.5.0-py3-none-any.whl Python 3 none any Details

Total release size: 28.3 kB

Release files / ip2location_python_csv_converter-1.5.0.tar.gz

Download URL ip2location_python_csv_converter-1.5.0.tar.gz
Size 14.9 kB
Tags Source
SHA-256 checksum
How to use checksums
c327cd8b78d21bde33258cacddc0d40f34255a7692b06aa3edec23b589ba7dc4
BLAKE2b-256 checksum
How to use checksums
326feab8fb5197d75796faa61fde9090b68fde8fa8c638a87b68715b4f1d4579
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.10

Release files / ip2location_python_csv_converter-1.5.0-py3-none-any.whl

Download URL ip2location_python_csv_converter-1.5.0-py3-none-any.whl
Size 13.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
59d60e6b470b8b407db5c6ea5ce8fec4dfb10a1b5fc10397eef5061267f17d5f
BLAKE2b-256 checksum
How to use checksums
293bcceb6ee8e3694f447292e575aef32f3174bfd0c5e80a8dbd516106d45ff2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.10

Release history Release notifications | RSS feed

This release

1.5.0 This release

2 release files

1.4.0

2 release files

1.3.3

2 release files

1.3.2

2 release files

1.3.1

2 release files

1.3.0

2 release files

1.2.7

2 release files

1.2.6

2 release files

1.2.5

2 release files

1.2.4

2 release files

1.2.3

2 release files

1.2.2

2 release files

1.2.1

2 release files

1.2.0

2 release files

1.1.0

2 release files

1.0.1

2 release files

1.0.0

3 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page