Browse AI vs Skyvern (2026)

Browse AI

by Browse AI

Skyvern

by Skyvern AI

Pros

• ✓Non-technical users train a scraping robot by clicking through a site once, with no code, and the robot handles logins, pagination and JavaScript-rendered pages on every later run.
• ✓Monitoring robots check pages as often as every 5 minutes on paid plans, alert on changes, and come with residential proxies and a captcha resolver for sites with bot detection.
• ✓Browse AI lists SOC 2 Type II, GDPR and CCPA on its pricing page and offers its SOC 2 report on request through a public Trust Center.

Limitations

• –Browse AI is built for data extraction and monitoring. It does not run multi-step workflow logic or take actions in other systems, so teams add Zapier, Make or a similar tool for those steps.
• –Credits are consumed per 10 rows or per screenshot, and Premium sites can cost more than one credit per task, so high-frequency monitoring or large paginated extractions can use up a plan's allowance faster than expected.
• –Premium, the managed tier for complex data pipelines, starts at $500/month billed annually and is arranged through a call with Browse AI rather than bought self-serve.

Pros

• ✓Visual reasoning with LLMs and computer vision lets Skyvern work on sites it has not seen before, with built-in handling for CAPTCHAs, 2FA and TOTP codes and anti-bot challenges.
• ✓A hosted MCP server with OAuth sign-in works with clients such as Claude, Cursor and Windsurf, and SDKs, a REST API and connectors for Zapier, Make.com and n8n cover developers and no-code teams.
• ✓The AGPL-3.0 open-source version can be self-hosted, and the free cloud plan includes 5,000 credits with no credit card.

Limitations

• –Free allows 1 concurrent run, Hobby and Pro credits reset each billing cycle, and residential proxies, team workspaces and 2FA support start at the $149/month Pro plan.
• –HIPAA, the SOC 2 report, human-in-the-loop steps and self-hosted enterprise deployment require the custom-priced Enterprise plan.
• –Skyvern may use anonymized or aggregated data for model training unless a customer opts out by contacting support or through an enterprise agreement.