Last modified: Apr 03, 2025 By Alexander Williams

How to Install Dateparser in Python

Dateparser is a handy Python library for parsing dates from strings. It supports multiple languages and formats. This guide will help you install and use it.

What Is Dateparser?

Dateparser simplifies parsing dates from text. It recognizes dates in various formats and languages. This makes it useful for data processing tasks.

Prerequisites

Before installing Dateparser, ensure you have Python 3.6 or later. You also need pip, Python's package installer.

Check your Python version with python --version. If you don't have pip, install it first.


python --version

Step 1: Install Dateparser

Use pip to install Dateparser. Run the following command in your terminal or command prompt.


pip install dateparser

Wait for the installation to complete. If successful, you'll see a confirmation message.

Step 2: Verify Installation

After installing, verify it works. Open a Python shell and import the library.

 
import dateparser
print(dateparser.__version__)

This should print the installed version. If you get an error, check the ModuleNotFoundError guide.

Step 3: Basic Usage

Dateparser makes parsing dates easy. Here's a simple example.

 
from dateparser import parse
date = parse("12 January 2023")
print(date)


2023-01-12 00:00:00

The parse function converts the string to a datetime object. It handles many formats automatically.

Step 4: Handling Different Languages

Dateparser supports multiple languages. Set the language parameter for non-English dates.

 
from dateparser import parse
date = parse("12 enero 2023", languages=['es'])
print(date)


2023-01-12 00:00:00

This example parses a Spanish date. The languages parameter ensures correct interpretation.

Step 5: Customizing Date Parsing

You can customize parsing behavior. Use settings to control how dates are interpreted.

 
from dateparser import parse
date = parse("yesterday", settings={'RELATIVE_BASE': '2023-01-01'})
print(date)


2022-12-31 00:00:00

The settings parameter adjusts the parsing context. Here, "yesterday" is relative to January 1, 2023.

Common Issues and Fixes

If you encounter errors, check these common solutions.

ModuleNotFoundError: Ensure Dateparser is installed correctly. Reinstall if needed.

Incorrect Parsing: Verify the input format. Use the languages parameter for non-English dates.

For more help, refer to the troubleshooting guide.

Conclusion

Dateparser is a powerful tool for parsing dates in Python. It handles various formats and languages with ease.

Follow these steps to install and use it. Experiment with different settings to suit your needs.

For more Python tips, explore our other guides.