lxml

Fast and easy HTML/XML library for Python

EstablishedOpen SourceLow lock-in
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Pricing

Free tier

Flat rate

Adoption

→Stable

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is lxml?

lxml is a powerful library for processing XML and HTML in the Python language. It combines the speed of C libraries with the ease-of-use of Python, making it an essential tool for web scraping and data extraction tasks.

Key differentiator

“lxml stands out for its combination of speed and ease-of-use, making it the go-to library for XML/HTML parsing in Python.”

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

High performance parsing and serialization of XML/HTML documentsmedium

Support for XPath expressions to query elements in the document treemedium

Easy-to-use API for creating, modifying, and querying XML/HTML structuresmedium

↓ Weaknesses

Steep learning curve for non-Python developershigh

API requires Python-specific patterns, and there is no official support or documentation for other languages.

Limited error messages can complicate debuggingmedium

lxml's error messages are often not descriptive enough to pinpoint the exact cause of parsing issues in XML/HTML documents.

Performance hit when working with very large fileshigh

Memory usage can become a bottleneck when processing extremely large XML or HTML files, leading to slower performance and potential out-of-memory errors.

Dependence on C libraries can cause installation issuesmedium

Installation requires compilation of C extensions which may fail due to missing dependencies or incompatible versions on certain systems.

Fit analysis

Who is it for?

✓ Best for

Developers who need to parse or generate complex XML/HTML documents efficiently

Projects requiring high-performance data extraction from web pages using Python

✕ Not a fit for

Applications that require real-time processing of large volumes of HTML/XML data without local processing capabilities

Scenarios where a full Python environment is not available or feasible to use

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Works well with

PandasrequestsScrapy

Next step

Get Started with lxml

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →