Use Browseai from Claude Code
Bring Browseai context into engineering work while Type keeps app access attached to the teammate and workspace.
One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Browseai never means pasting credentials into a prompt.
Bring Browseai context into engineering work while Type keeps app access attached to the teammate and workspace.
Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.
Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.
Browse.ai allows you to turn any website into an API using its advanced web automation and data extraction tools, enabling easy monitoring and data retrieval from websites.
Connect Browseai once, then decide which teammates can use it for threads, automations, skills, and coding work.
This action allows users to bulk run up to 1,000 tasks per API call using a specified robot. For larger datasets, submit multiple bulk runs sequentially (up to 500,000 tasks total). It provides a POST endpoint at /v2/robots/{robotId}/bulk-runs and supports parameters such as robot_id (required), title (required), and input_parameters (required). This bulk operation is essential for large-scale data extraction.
Creates a new monitor for a Browse AI robot to automatically track website changes over time. A monitor runs a robot on a recurring schedule and can notify you when the captured data (screenshots or text) changes. This is useful for tracking price changes, content updates, availability status, or any other dynamic website information. You must first have a robot created (via the Browse AI dashboard) before you can monitor it. Use the GET_ROBOTS action to find available robot IDs. Key features: - Configure recurring schedules (hourly, daily, weekly) using RRULE format - Get email notifications when screenshots or text content changes - Customize notification sensitivity with threshold settings - Override robot parameters for each monitor
This tool creates a new webhook for a Browse AI robot. Webhooks are HTTP callbacks that Browse AI sends to your server immediately when specific events occur, eliminating the need for polling. It is useful for: - Setting up automated notifications for task completion - Receiving real-time updates when changes are detected - Integrating Browse AI with your own systems - Automating workflows based on robot task results The webhook can be configured to trigger on different event types: - taskFinished: Triggers on any task completion (success or failure) - taskFinishedSuccessfully: Triggers only on successful task completions - taskFinishedWithError: Triggers only on failed task completions - taskCapturedDataChanged: Triggers when data changes are detected during monitoring - tableExportFinishedSuccessfully: Triggers when table export completes (Beta feature) Note: Browse AI only supports one event type per webhook. To monitor multiple event types, create separate webhooks for each event type.
This tool allows users to delete a specific monitor from their Browse AI account. It uses the DELETE method and requires a valid monitor_id.
This tool allows you to delete a specific task in BrowseAI by its task ID. It is used for cleaning up completed or failed tasks, managing resources, and maintaining your task list.
Browse AI exposes APIs for listing robots, running extraction tasks, retrieving scraped data, bulk runs, updating cookies, monitoring website changes, screenshots, and webhooks for task completion and change events.
Yes. Type lets an AI teammate use connected Browseai actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.
Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Browseai catalog entry includes public integration details and example capabilities where available.
Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.
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Tavily offers search and data retrieval solutions, helping teams quickly locate and filter relevant information from documents, databases, or web sources