Table of contents

How do I install lxml on my system?

The lxml library is a powerful and feature-rich library for processing XML and HTML in Python, built on top of the C libraries libxml2 and libxslt. It provides high-performance parsing and extensive XML/HTML manipulation capabilities.

Quick Installation

Using pip (Recommended)

The simplest method for most users:

pip install lxml

For Python 3 specifically (if you have both Python 2 and 3):

pip3 install lxml

Using conda

If you're using Anaconda or Miniconda:

conda install lxml

Or from the conda-forge channel for the latest version:

conda install -c conda-forge lxml

Virtual Environment Installation (Best Practice)

Always install lxml in a virtual environment to avoid dependency conflicts:

# Create virtual environment
python -m venv myenv

# Activate virtual environment
# On Windows:
myenv\Scripts\activate
# On macOS/Linux:
source myenv/bin/activate

# Install lxml
pip install lxml

Platform-Specific Instructions

Windows

Windows users can install lxml using precompiled binary wheels:

pip install lxml

This automatically downloads the appropriate wheel for your Python version and Windows architecture (32-bit or 64-bit).

If you encounter installation issues:

  1. Update pip first:
   python -m pip install --upgrade pip
  1. Install Microsoft Visual C++ Build Tools if needed (for older Python versions)

  2. Use the --only-binary flag to force wheel installation:

   pip install --only-binary=lxml lxml

Linux

Most modern Linux distributions can install lxml directly with pip. However, if compilation is required, you'll need development headers.

For Debian/Ubuntu:

# Install system dependencies
sudo apt-get install libxml2-dev libxslt-dev python3-dev

# Install lxml
pip install lxml

For Red Hat/CentOS/Fedora:

# Install system dependencies
sudo yum install libxml2-devel libxslt-devel python3-devel
# or for newer versions:
sudo dnf install libxml2-devel libxslt-devel python3-devel

# Install lxml
pip install lxml

For Alpine Linux:

# Install system dependencies
apk add libxml2-dev libxslt-dev python3-dev gcc musl-dev

# Install lxml
pip install lxml

macOS

On macOS, lxml usually installs without issues using pip:

pip install lxml

If you encounter compilation errors:

  1. Install Xcode Command Line Tools:
   xcode-select --install
  1. Using Homebrew (alternative method):
   # Install system dependencies
   brew install libxml2 libxslt

   # Install lxml
   pip install lxml
  1. Set environment variables for linking (if needed):
   export CPATH=/usr/local/include/libxml2
   pip install lxml

Installation Verification

After installation, verify lxml is working correctly:

import lxml
from lxml import etree

print(f"lxml version: {lxml.__version__}")

# Test basic functionality
root = etree.Element("root")
root.text = "Hello lxml!"
print(etree.tostring(root, encoding='unicode'))

Expected output: lxml version: 4.9.3 <root>Hello lxml!</root>

Troubleshooting Common Issues

Permission Errors

Use --user flag to install for current user only:

pip install --user lxml

Upgrade pip First

Always ensure pip is up-to-date:

python -m pip install --upgrade pip
pip install lxml

Specific Version Installation

Install a specific version if needed:

pip install lxml==4.9.3

Development Installation

For the latest development version:

pip install git+https://github.com/lxml/lxml.git

Best Practices

  1. Use Virtual Environments: Always install in a virtual environment to avoid dependency conflicts
  2. Pin Versions: Specify exact versions in requirements.txt for reproducible builds
  3. Update Regularly: Keep lxml updated for security patches and performance improvements
  4. Check Dependencies: Ensure your system has necessary C libraries for optimal performance

Next Steps

Once installed, you can start using lxml for: - HTML/XML parsing and manipulation - XPath queries - XSLT transformations - Web scraping with Beautiful Soup backend - Schema validation

Try WebScraping.AI for Your Web Scraping Needs

Looking for a powerful web scraping solution? WebScraping.AI provides an LLM-powered API that combines Chromium JavaScript rendering with rotating proxies for reliable data extraction.

Key Features:

  • AI-powered extraction: Ask questions about web pages or extract structured data fields
  • JavaScript rendering: Full Chromium browser support for dynamic content
  • Rotating proxies: Datacenter and residential proxies from multiple countries
  • Easy integration: Simple REST API with SDKs for Python, Ruby, PHP, and more
  • Reliable & scalable: Built for developers who need consistent results

Getting Started:

Get page content with AI analysis:

curl "https://api.webscraping.ai/ai/question?url=https://example.com&question=What is the main topic?&api_key=YOUR_API_KEY"

Extract structured data:

curl "https://api.webscraping.ai/ai/fields?url=https://example.com&fields[title]=Page title&fields[price]=Product price&api_key=YOUR_API_KEY"

Try in request builder

Related Questions

Get Started Now

WebScraping.AI provides rotating proxies, Chromium rendering and built-in HTML parser for web scraping
Icon