devtools

Automate with Lightpanda

Get headless browser automation for AI with Lightpanda, designed for startups.
intermediate⏱ 30 minutesπŸ’΅ Free + LLM API costs
34,568 stars1,638 forksZigGuide quality 9/10Updated 9/6/2026100% free Β· open source
What it is

Use Lightpanda, a tool designed for startups, to automate tasks with headless browser interactions in your AI projects.

Real use case example

"A solo developer wanting to automate sales follow-ups can use Lightpanda to scrape Amazon product pages for relevant information, pull it into their CRM, and send customized emails to potential customers, saving them time and improving sales efficiency."

Best insideClaude CodeCursor
When to use it
  • β€’When you need to automate web scraping tasks for data collection
  • β€’When you want to automate interactions with web applications for testing or automation
  • β€’When you need to render web pages in a headless environment for AI-driven tasks
Ready-to-paste prompt
zig run src/main.zig --launch --url https://example.com --click '#myButton'
Heads up: Ensure you have the Zig compiler installed and configured properly on your system, as Lightpanda is built using the Zig programming language
Saves to your device
Use with Claude
New

Skip the builder β€” one click puts this in Claude, Cursor, Antigravity and more.

πŸ› οΈ Technical setup

Expect 20–40 minutes in a terminal β€” or let your AI agent drive it.

Try it instantly β€” no install
Claude Code
mkdir -p ~/.claude/skills/browser && curl -fsSL https://workflowstacks.com/api/skills/browser/claude-skill -o ~/.claude/skills/browser/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go β€” no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Automate with Lightpanda works
Codeflow
Free to inspect

Automate with Lightpanda is a very large Zig project (~189k lines across 546 code files, plus 75 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, AGPL-3.0 license, has a test suite.

Size
Very large codebase
~189k lines Β· 546 code files Β· days to read β€” use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Docker
No API keys detected
Zig 79%HTML 20%Rust 1%
Where to start reading
  1. 1
    README.md
    Start here β€” what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/App.zig
    Inside src/ β€” the main logic begins here
What's in each folder
src/Core code β€” the actual logic1034 files
.github/CI / automation (GitHub Actions)11 files
READMEHas testsDocumentedCI checksDocker readyAGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
lightpanda-io
Language
Zig
Category
devtools
Published
2/7/2023

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