Option A: pip install (Recommended)

Dependencies needed: - Python 3.11.x, works with 3.12, not ready yet for 3.13 - NodeJS & NPM

Additionally, for Windows: - Rust - VS Code with C++ dev tools and Windows SDK

1. Install Skyvern

pip install skyvern

2. Run Skyvern

skyvern quickstart

Option B: Docker Compose

Use this option if you want everything containerized (Postgres, API, UI) and don't want to install Python/Node locally.

1. Install Docker Desktop 2. Clone the repository:

   git clone https://github.com/skyvern-ai/skyvern.git && cd skyvern
   

   cp .env.example .env  # if not already created
   # edit .env to add your LLM API key
   

   docker compose up -d
   

Contributor Setup

Make sure to have uv installed. 1. Run this to create your virtual environment (.venv)

    uv sync --group dev
    

    uv run skyvern quickstart
    

Quickstart

Core AI Commands - Examples

```python

Quick Start Examples

Run via UI:

skyvern run all

Python SDK: ```python from skyvern import Skyvern

Advanced Usage

Real-world examples of Skyvern

We love to see how Skyvern is being used in the wild. Here are some examples of how Skyvern is being used to automate workflows in the real world. Please open PRs to add your own examples!

Demo

https://github.com/user-attachments/assets/5cab4668-e8e2-4982-8551-aab05ff73a7f

extract - Extract structured data with optional JSON schema

result = await page.extract("Get the product name and price") result = await page.extract( prompt="Extract order details", schema={"order_id": "string", "total": "number", "items": "array"} )

SDK

Skyvern is a Playwright extension that adds AI-powered browser automation. It gives you the full power of Playwright with additional AI capabilities—use natural language prompts to interact with elements, extract data, and automate complex multi-step workflows.

Installation: - Python: pip install skyvern then run skyvern quickstart for local setup - TypeScript: npm install @skyvern/client

Zapier / Make.com / N8N Integration

Skyvern supports Zapier, Make.com, and N8N to allow you to connect your Skyvern workflows to other apps.

• Zapier
• Make.com
• N8N

🔐 Learn more about 2FA support here.

Skyvern Workflows

Workflows are a way to chain multiple tasks together to form a cohesive unit of work.

For example, if you wanted to download all invoices newer than January 1st, you could create a workflow that first navigated to the invoices page, then filtered down to only show invoices newer than January 1st, extracted a list of all eligible invoices, and iterated through each invoice to download it.

Another example is if you wanted to automate purchasing products from an e-commerce store, you could create a workflow that first navigated to the desired product, then added it to a cart. Second, it would navigate to the cart and validate the cart state. Finally, it would go through the checkout process to purchase the items.

Supported workflow features include: 1. Browser Task 1. Browser Action 1. Data Extraction 1. Validation 1. For Loops 1. File parsing 1. Sending emails 1. Text Prompts 1. HTTP Request Block 1. Custom Code Block 1. Uploading files to block storage 1. (Coming soon) Conditionals

<p align="center"> <img src="fern/images/block_example_v2.png"/> </p>

Password Manager Integrations

Skyvern currently supports the following password manager integrations: - [x] Bitwarden - [x] Custom Credential Service (HTTP API) - [ ] 1Password - [ ] LastPass

Troubleshooting

(sqlite3.OperationalError) table organizations already exists — You hit a known bug in pip install skyvern==1.0.31. Fix:

rm ~/.skyvern/data.db   # remove the leftover SQLite file
pip install --upgrade skyvern   # 1.0.32+ contains the fix
skyvern quickstart

If you are still on 1.0.31 and cannot upgrade, install via uv instead:

uv pip install skyvern

pip install skyvern fails with ResolutionImpossible (litellm / fastmcp) — You hit a dependency-resolution conflict in 1.0.31. Either upgrade to 1.0.32+ or use uv: uv pip install skyvern.