Skyvern
Automate browser based workflows with AI
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What is Skyvern?
Skyvern is an AI-powered browser automation platform that automates browser-based workflows using LLMs and computer vision. Instead of relying on brittle XPath-based scripts that break when websites change, Skyvern uses AI to visually parse webpages in real time, plan interactions, and execute tasks through a simple API. Users can describe what they want in plain English, and Skyvern opens a real browser, reads the page visually, and completes complex multi-step tasks like filling forms, extracting data, making purchases, or applying to jobs.
Key features include CAPTCHA solving, two-factor authentication (2FA/TOTP) support, proxy networks with country/state/zip-code targeting, explainable AI with built-in run summaries, data extraction in any schema (CSV/JSON), cloud browsers that can be watched live, Python and TypeScript SDKs, MCP server for AI coding assistants, no-code/low-code Cloud UI, workflow blocks with loops and conditionals, credential management with vault integration (Bitwarden, 1Password, Azure Key Vault), browser session persistence, webhook notifications, and self-hosted deployment options with Docker/Kubernetes.
Skyvern is designed for developers and engineers who want to automate browser tasks in their applications using Python/TypeScript SDKs or REST API, as well as enterprise and ops leaders looking to replace manual portal work with AI-powered automation. It serves 20,000+ users across industries for use cases like automated invoice retrieval from vendor portals, filling government forms, interacting with healthcare systems, purchasing, IT onboarding/offboarding workflows, job applications, cold outbound contact form filling, and procurement pipeline automation.
The platform works on any website without customized code, is resistant to website layout changes, can operate on websites it has never seen before, and leverages LLMs to reason through complex situations like inferring answers from context or matching similar products across different retailers. It supports running thousands of tasks simultaneously through API-driven infinite scaling.
Skyvern pricing
Pricing model: Freemium
Skyvern offers four pricing plans: Free Plan includes 1,000 credits to start with AI browser automation, CAPTCHA solving, and basic support—no credit card required. Hobby Plan costs $29/month for 30,000 credits per month, plus priority support, faster execution, and webhook integrations. Pro Plan is $149/month for 150,000 credits per month, including team workspaces, advanced workflows, 2FA credential management, and dedicated support. Enterprise Plan offers custom pricing for large-scale deployments with unlimited credits, self-hosted deployment, HIPAA compliance, SOC2 Type II certification, SSO, dedicated account manager, and SLA guarantees. A run is one workflow execution regardless of pages or steps, and credits are consumed based on complexity and duration.
Skyvern pros
- Automates any website without custom scripts or XPath dependencies
- Uses computer vision and LLMs to adapt to webpage changes automatically
- Solves CAPTCHAs and bypasses anti-bot detection systems
- Handles 2FA/TOTP authentication and MFA login flows
- Supports proxy networks with country/state/zip-code level geo-targeting
- Provides explainable AI with step-by-step run summaries and screenshots
- Extracts structured data in custom JSON schemas or CSV format
- Offers Python SDK, TypeScript SDK, REST API, and MCP server
- Includes no-code Cloud UI for visual workflow building
- Enables browser session persistence across multiple tasks
- Supports self-hosted deployment with Docker and Kubernetes
- Integrates with Bitwarden, 1Password, and Azure Key Vault for credentials
- Provides webhook notifications when tasks complete or fail
- Runs thousands of tasks simultaneously with API-driven scaling
- Includes built-in recording and artifact access for debugging every run
- Supports multi-page form filling with continuation handling
- Works in any language for international website automation
- Offers code caching to reduce LLM token consumption on repeated runs
Skyvern cons
- Requires LLM API key (OpenAI, Anthropic, Azure, Gemini, or Ollama)
- Credits consumed based on task complexity and duration can add up
- Self-hosted setup requires PostgreSQL database configuration
- SDK requires Python 3.11, 3.12, or 3.13 (not compatible with older versions)
- Cloud browser sessions consume resources and must be closed properly
- Complex workflows may require prompt tuning for reliability
- Free tier limited to 1,000 credits which may not be enough for production
- Enterprise features like HIPAA and SOC2 require custom pricing negotiation
- Learning curve for building robust workflows with loops and conditionals
Frequently asked questions about Skyvern
What is Skyvern and what does it do?
Skyvern is an AI-powered browser automation platform that automates browser-based workflows using LLMs and computer vision. It navigates websites it has never seen before, filling forms, extracting data, and completing multi-step tasks via a simple API. Users describe what they want in plain English, and Skyvern opens a real browser, reads the page visually, and completes the task using tasks, workflows, and the API or SDK.
How does Skyvern handle CAPTCHAs and bot detection?
Skyvern has built-in CAPTCHA support and can solve CAPTCHAs to automate complicated workflows. It also includes stealth browser configuration and anti-bot bypass capabilities, allowing it to handle anti-bot systems that would block traditional automation tools.
Can Skyvern handle two-factor authentication (2FA)?
Yes, Skyvern supports logging into user accounts including those that require 2FA/TOTP. It can handle 2FA and MFA by configuring TOTP-based authentication so Skyvern can complete login flows that require 2FA codes, allowing you to automate within your tech stack.
What programming languages and SDKs does Skyvern support?
Skyvern provides Python SDK and TypeScript SDK for developers to integrate browser automation into their applications. It also offers a REST API that can be used with any language via cURL, and an MCP server for AI coding assistants like Claude Desktop, Cursor, and Windsurf.
How does Skyvern pricing compare to traditional RPA?
Traditional RPA charges $10,000+ per bot per year with 20-40% monthly maintenance costs. Skyvern uses usage-based pricing with near-zero maintenance, starting with a free plan at 1,000 credits, Hobby at $29/month for 30,000 credits, Pro at $149/month for 150,000 credits, and Enterprise with custom pricing.
Can I try Skyvern for free?
Yes, the Free Plan gives you 1,000 credits with full API access—no credit card required. This includes AI browser automation, CAPTCHA solving, and basic support, allowing you to test the platform before committing to a paid plan.
What counts as a run or credit in Skyvern?
A run is one workflow execution regardless of pages or steps. Credits are consumed based on the complexity and duration of the task. More complex workflows with multiple steps, pages, and longer execution times will consume more credits.
Can Skyvern be self-hosted?
Yes, Skyvern offers self-hosted deployment options with Docker or Kubernetes. Self-hosted setup requires PostgreSQL database, an LLM API key (OpenAI, Anthropic, Azure OpenAI, Gemini, Ollama, or any OpenAI-compatible provider), and browser configuration. The Enterprise plan includes self-hosted deployment with HIPAA compliance and SOC2 Type II certification.
What integrations does Skyvern offer?
Skyvern integrates with Zapier, Make.com, n8n, and Workato for workflow automation. It also supports MCP server for AI coding assistants (Claude Desktop, Cursor, Windsurf, VS Code), credential vaults like Bitwarden and 1Password, and observability with Laminar for tracing.
How do I debug Skyvern automation runs?
Every Skyvern run is recorded and you can access recordings, screenshots, action logs, and network data through artifacts. You can watch browser sessions live during execution via a URL, view step-by-step timelines with AI reasoning for each decision in the Cloud UI under the Runs section, and use the troubleshooting guide to diagnose common issues like prompt tuning and step timeline analysis.