ScrapeGraphAI
Use ScrapeGraphAI 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
Use its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('scrapegraph-ai/acme-scrapegraph-ai');
Use ScrapeGraphAI in apps and agents
Extract structured web data using natural-language instructions.
Read the ScrapeGraphAI developer docs(opens in new tab)Why use Vercel Connect with ScrapeGraphAI?
Credentials on demand
Request ScrapeGraphAI credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped ScrapeGraphAI access behind a reusable connector controlled by your team.
Centralized credential management
Manage ScrapeGraphAI 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 ScrapeGraphAI with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add ScrapeGraphAI to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the ScrapeGraphAI connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create scrapegraph-ai --name acme-scrapegraph-aivercel env pullRequest ScrapeGraphAI credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('scrapegraph-ai/acme-scrapegraph-ai');
