Skyvern

AI-powered browser automation that handles navigation, form filling, data extraction, and CAPTCHAs without custom scripts or CSS selectors.

Automation & Agents Workflow AutomationFreemium

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$29Starting price

102KMonthly visits

33Popularity

About Skyvern

Skyvern is an AI-driven browser automation tool that uses computer vision and large language models to automate workflows on any website. Instead of relying on brittle CSS selectors or custom scripts, it visually understands page elements and adapts to layout changes automatically. Users describe tasks in plain English, record actions, upload SOPs, or use a visual drag-and-drop editor to build workflows. The tool handles real-world complications such as CAPTCHAs, two-factor authentication, dynamic forms, and proxy networks for geo-targeted browsing. Workflows can be triggered via the visual builder, REST API, webhooks, or Python and TypeScript SDKs. Skyvern operates in the cloud or self-hosted via Docker, and the open-source version is available on GitHub under AGPL-3.0. It supports multiple LLM providers, including OpenAI, Anthropic, Google Gemini, or local models through Ollama, allowing users to bring their own AI models.

Key features

No CSS selectors or custom scripts required
Native CAPTCHA solving
Self-hosting via Docker
Python and TypeScript SDKs
Visual drag-and-drop workflow builder
Proxy network support for geo-targeting
Two-factor authentication handling
Dynamic form field management
REST API and webhook triggers
Open-source version available

Use cases

Invoice download automation
Web data extraction
Form filling at scale

Pros

Automates browser workflows using computer vision and LLMs, reducing reliance on brittle CSS selectors or custom scripts
Handles complex real-world scenarios such as CAPTCHAs, two-factor authentication, dynamic forms, and proxy networks
Supports multiple input methods including plain English instructions, SOPs, visual drag-and-drop editor, and SDKs
Offers both cloud-based and self-hosted deployment options via Docker, with an open-source version available
Provides explainable AI summaries, data extraction in multiple formats, and integrations with existing automation stacks

Cons

May require adjustments for highly dynamic or unpredictable website behaviors
Dependent on the performance and accuracy of underlying LLM and computer vision models
Self-hosted deployment requires technical expertise to manage infrastructure

Frequently asked questions about Skyvern

What is Skyvern and what does it do?

Skyvern is an AI-powered browser automation tool that automates workflows on any website using computer vision and large language models. It handles tasks such as data extraction, form filling, document processing, and account logins, including CAPTCHAs and two-factor authentication, without requiring custom scripts or APIs.

Who should use Skyvern?

Skyvern is designed for teams and businesses that need to automate repetitive browser-based tasks, such as downloading invoices, extracting data, filling forms, or testing web applications. It suits developers, operations teams, and enterprises looking for reliable, adaptable automation solutions.

How does Skyvern handle CAPTCHAs and two-factor authentication?

Skyvern natively solves CAPTCHAs and manages two-factor authentication flows, including TOTP, without requiring third-party services. This ensures automations can run uninterrupted even on websites with strict security measures.

Can Skyvern be integrated with existing automation tools?

Yes, Skyvern offers seamless integration with tools like Zapier, n8n, and Workato, as well as REST APIs, webhooks, and Python and TypeScript SDKs. It can also be self-hosted via Docker for on-premise deployment.

What are the deployment options for Skyvern?

Skyvern can be deployed in the cloud or self-hosted using Docker containers. It also supports running workflows entirely on-premise, providing flexibility for enterprises with specific security or compliance requirements.

How do I get started with Skyvern?

Users can start by describing their workflow in plain English using the AI Copilot, uploading SOPs, recording browser actions, or using the visual drag-and-drop builder. The tool provides documentation and SDKs to help developers integrate and customize workflows.