ZenRows
Use ZenRows with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
ZenRows$ vercel connect create zenrows --name acme-zenrowsUse its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('zenrows/acme-zenrows', {subject: { type: 'user', id: userId },});
Use ZenRows in apps and agents
Extract web content and structured data through the ZenRows API.
Read the ZenRows developer docs(opens in new tab)Why use Vercel Connect with ZenRows?
Credentials on demand
Request ZenRows credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Support both user-authorized and app-scoped ZenRows access from the same connection layer.
Centralized credential management
Manage ZenRows credentials in one place and retrieve them through a consistent runtime API.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use ZenRows with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add ZenRows to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the ZenRows connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create zenrows --name acme-zenrowsvercel env pullRequest ZenRows credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('zenrows/acme-zenrows', {subject: { type: 'user', id: userId },});