5 Best Ways to Install Selenium WebDriver with Python

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πŸ’‘ Problem Formulation: When starting web automation tasks, a Python developer requires Selenium WebDriver to control a web browser via their code. The process involves setting up the Selenium library and the browser driver. In this article, we aim to guide on how to install Selenium WebDriver for Python to run automated web tasks, where the input is Python code and the output is automated interactions with a web browser.

Method 1: Install via pip

Pip is Python’s package installer. You can use it to install the Selenium package which includes the WebDriver API that is necessary for controlling web browsers. This method requires Python and pip already installed on your system and guarantees that you get the latest version available on PyPI.

Here’s an example:

pip install selenium


Collecting selenium
  Downloading selenium-3.141.0-py2.py3-none-any.whl (904kB)
Successfully installed selenium-3.141.0

This command installs Selenium using pip, which fetches the latest version of the package from the Python Package Index and installs it in your Python environment. It works across all major operating systems and only requires an internet connection.

Method 2: Using a Virtual Environment

Virtual environments in Python provide an isolated space for Python projects, allowing you to manage dependencies separately for each project. By installing Selenium within a virtual environment, you avoid potential conflicts with other projects’ dependencies.

Here’s an example:

python -m venv myenv
source myenv/bin/activate
pip install selenium


Installing collected packages: selenium
Successfully installed selenium-3.141.0

This snippet creates a virtual environment named ‘myenv’, activates it, and then installs Selenium while the environment is active. This ensures that the Selenium package won’t interfere with other Python projects that might require a different version of Selenium or its dependencies.

Method 3: Install with Anaconda

Anaconda is a popular distribution for data science and machine learning that comes with a package manager called conda. It can install Selenium WebDriver while managing dependencies with other packages specifically in the scope of scientific computing.

Here’s an example:

conda install -c conda-forge selenium


# package plan for installation
The following NEW packages will be INSTALLED:
  selenium conda-forge/noarch::selenium-3.141.0-python_0

This code uses the conda installer to install Selenium from the conda-forge channel, which is a community-driven collection of well-maintained and up-to-date packages. It’s particularly useful when working within a scientific computing ecosystem.

Method 4: Download the WebDriver Binary Manually

In addition to the Selenium library, you also need the WebDriver binary for the browser you want to automate. This method involves manually downloading the browser-specific WebDriver and setting the path to this executable in your Python script.

Here’s an example:

from selenium import webdriver


No output, but a new Chrome browser window should open.

This code initializes a new instance of Chrome WebDriver by specifying the full path to the chromedriver binary that you downloaded manually. This approach is useful if you require a specific version of the WebDriver or if you cannot install software directly via pip or conda.

Bonus One-Liner Method 5: Install Using Webdriver Manager

The Webdriver Manager is a library that provides a way to automatically manage browser drivers for you. It downloads the WebDriver binaries to the correct path and keeps them updated.

Here’s an example:

pip install webdriver-manager
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager


No output, but a new Chrome browser window should open using the managed Chromedriver.

After installing WebDriver Manager with pip, you can use it in your script to automatically download and link the appropriate WebDriver binary for Chrome. It simplifies environment setup and is perfect for quick starts or continuous integration systems.


  • Method 1: Install via pip. Quick and easy. Works globally for all Python projects. Can lead to version conflicts if multiple projects require different versions.
  • Method 2: Using a Virtual Environment. Isolates dependencies per project. Prevents system-wide changes. Additional steps for environment management are required.
  • Method 3: Install with Anaconda. Integrates well with scientific computing packages. Managed by conda, which is powerful but sometimes complex compared to pip.
  • Method 4: Download the WebDriver Binary Manually. Allows for precise version control of WebDriver binaries. Requires manual updates and path management.
  • Bonus Method 5: Install Using Webdriver Manager. Automates driver management. Ideal for fast-paced development or automated setups. Might not suit environments with restricted internet access.