Run Browse AI robots, poll the tasks they create, manage monitors, bulk runs and webhooks, on the Browse AI API v2.
Browse AI ships in the w6w first-party pack. It declares 18 actions, 3 health checks, and the host runs its code in a sandbox that never sees the credential.
io.w6w.browseaiBrowse AI turns website scraping into an API: robots record what to extract from a page, and this app runs them, polls the results, and manages everything that keeps a robot scraping on a schedule. A single run creates a task carrying the captured text, lists, and screenshots; a monitor re-runs a robot automatically and diffs the result over time; and a bulk run can kick off up to tens of thousands of task variations from one call — useful for a workflow that needs to scrape many similar pages at once, such as a list of product URLs.
It also manages the supporting pieces: updating the cookies a robot uses to reach content behind a login, registering webhooks so a workflow is notified as tasks complete instead of polling for them, and reading the current status of Browse AI’s own task queue. Task and bulk-run history can be searched and filtered by date, which matters on an active robot generating a large volume of runs.
Three routes to the same 18 actions. The Workflow tab is generated from Browse AI's own manifest and carries its real ids, so it is copy-pasteable; the Code and CLI examples are the same call for any action on any app, so every app-specific value in them is a blank you fill in.
bulk-run-create Run a robot up to 50,000 times at once, one task per set of input parameters.
robot-cookies-set Replace a robot's cookies — the whole set is overwritten, not merged. Useful for injecting a logged-in session or a consent-banner cookie ahead of a run.
A workflow step names the app and the action, and the editor fills in the
connection when you pick one. This is the Step shape from the
workflow spec, carrying Browse AI's real ids.
{
"manifestVersion": "2",
"name": "browseai-example",
"steps": [
{
"id": "bulk-run-create",
"uses": {
"app": "io.w6w.browseai",
"action": "bulk-run-create",
"connection": "conn_YOUR_CONNECTION_ID"
},
"with": {
"robotId": "<robotId>",
"inputParameters": "<inputParameters>"
}
}
]
}bulk-run-create bulk-run-get bulk-run-list monitor-create monitor-get +13 more actions available
Every app-specific value here is a blank you have to fill in. An
app action is reached through the connection that authenticates it, so the
address is a connection id, not the app id — and connections belong to your account,
so a public page cannot know yours. Create one for Browse AI, then fill in
the three blanks: conn_YOUR_CONNECTION_ID, the action key, and the
parameters that action declares. The call itself is real — the shape is transcribed
from the studio's own snippet builder, which prints the same kind of blanks — but
nothing in it is specific to Browse AI. The Workflow tab is where this app's
real ids are.
npm install @w6w/sdkyarn add @w6w/sdkpnpm add @w6w/sdkdeno add npm:@w6w/sdkimport { W6wClient, isActionRun } from "@w6w/sdk";
// Reads W6W_BASE_URL and W6W_TOKEN from the environment when omitted.
const client = new W6wClient();
const envelope = await client.run({
urn: "conn_YOUR_CONNECTION_ID",
action: "bulk-run-create",
payload: {
robotId: "<value>",
// title: "<value>",
inputParameters: "<value>",
},
});
if (isActionRun(envelope)) console.log(envelope.value); npm install -g @w6w/cli w6w run conn_YOUR_CONNECTION_ID --action bulk-run-create --payload '{"robotId":"<value>","inputParameters":"<value>"}' Give an AI agent Browse AI — without giving it Browse AI's credentials. One MCP endpoint exposes every app, function and workflow the caller is entitled to, as tools it can discover and run. Access is granted per team while we onboard.
One tool call{
"name": "w6w_invoke",
"arguments": {
"ref": "app:io.w6w.browseai#bulk-run-create",
"input": {
"robotId": "<robotId>",
"inputParameters": "<inputParameters>"
}
}
}
Every tool names its target with a single ref. The
app: form above doesn't name a connection at all — the
host resolves which of the caller's Browse AI connections to sign
with, and refuses rather than guesses when the answer is ambiguous.
The token is attached host-side, at the moment of the call. It is never a tool argument, never in the model's context, and never in a transcript — so a prompt injection has nothing to exfiltrate.
Tools are derived per end user from what that person has actually connected and is entitled to — not one shared bot identity carrying the union of everyone's access.
Multi-step work runs on the workflow engine and returns a run handle the agent can poll — retries, branching and state survive the conversation that started them.
Browse AI's declared health checks are on the surface too, so an agent can tell "the vendor is down" from "your credential expired" before it burns a retry on either.
The MCP surface is part of the hosted platform. Browse AI itself is MIT, and the runtime that executes it is source-available (FSL).
Browse AI declares its own checks, so its health is a property of the app rather than something the host guesses at.
Component status from browseai.statuspage.io: Public API, Robots' Task Execution, Integrations, Dashboard and Marketing Site.
Whether Browse AI's task-execution queue is running normally or under maintenance.