Browse.sh

Key Features

• •Search API: The Search API enables agents to perform web searches and quickly find relevant websites based on a single query. It returns structured results that agents can use to gather intelligence from multiple sources in real time, drastically speeding up research workflows.
• •Fetch API: The Fetch API converts any URL into clean HTML, JSON, or markdown, providing immediate web context for agents. This allows agents to extract structured data from any webpage without needing to render the full browser, reducing overhead and latency.
• •Browser-as-a-Service: Browser-as-a-Service provides a real browser environment where agents can interact with websites like a human. It handles authentication flows, dynamic content, CAPTCHAs, and complex UIs, enabling automation of tasks that traditional APIs cannot access.
• •Sessions API: The Sessions API allows developers to spin up and manage thousands of concurrent browser instances. This enables large-scale parallel automation, such as monitoring hundreds of websites simultaneously or processing bulk data extraction tasks.
• •Stagehand SDK: Stagehand is an open-source SDK that provides a high-level abstraction for controlling browser agents. It simplifies scripting complex interactions like form filling, clicking, and navigation, making it faster to build and deploy agent workflows.
• •Browser CLI: The Browser CLI is a command-line tool that gives developers direct access to Browserbase's capabilities from their terminal. It enables quick prototyping and integration into existing scripts and CI/CD pipelines.
• •Unblock agents feature: Browserbase automatically handles common agent blockers like CAPTCHAs, login prompts, and dynamic forms. This ensures that agents can complete tasks without getting stuck, reducing the need for manual intervention and increasing reliability.

Use Cases

• •Building agents that never sleep: Send your agent to search, organize, and act on data continuously. For example, track competitor pricing or news headlines 24/7, freeing your team from manual monitoring.
• •Accessing login-protected data: Your agent can log into any website and pull data behind authentication walls, accessing the 85% of the web that APIs cannot reach. This is crucial for gathering business intelligence or personalizing user experiences.
• •Catching broken flows before users do: Run agents that click through your product's UI continuously, detecting broken links, errors, or performance issues. This proactive monitoring helps maintain a seamless customer experience.
• •Research at scale: Spin up thousands of concurrent browser sessions to research topics across multiple sources simultaneously. Return answers in seconds, enabling large-scale data collection for analysis or training AI models.
• •Automating form filling and submissions: Agents can fill out complex forms (job applications, vendor registrations, government forms) on behalf of users. This reduces manual effort and accelerates processes like recruitment or compliance.
• •Watching the whole web for changes: Track prices, job listings, product changes, or competitor moves in real time. Agents monitor updates and alert you to important changes, supporting data-driven decisions.

Who is this for?

AI engineers building computer-use models, automation developers needing reliable web access for their agents, data scientists collecting large-scale web data, product teams at companies like Microsoft and Amplitude, sales teams automating demos, and any organization that needs to integrate web interactions into their AI workflows. Also targets developers using Claude, GPT, or custom models who need a production-ready browser orchestration platform.