Scrape - Cheerio (lightweight)

Scrape websites using Cheerio's fast HTML parser. Includes URL scraping, website crawling, and content extraction without external API costs.

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Problems solved

Technical challenges this implementation handles out of the box.

Products and workflows this pattern is designed to support.

Requirements, wiring steps, and what this pattern adds to your project.

Pick how you want to pull this pattern in — then wire env vars and routes the same way.

1
Install from the preview toolbar
Copy the install command above and run it in your project — Pro patterns include a short-lived token.
2
Add environment variables to .env.local
OPENAI_API_KEY
3
Point client fetches at your API routes
Replace preview `/view/.../api/...` paths with `/api/...` in the installed files.
4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions for your product — Copy for AI in the toolbar helps seed that work.
5
Run your dev server and open the pattern route
Install dependencies if needed, then start the app and verify responses.

AI SDK APIs

streamTextconvertToCoreMessagestooluseChat

Providers

OpenAI

6 files

10 total

npm packages

AISDKcheeriolucide-reactNext.jsReactZod

Registry components

alertemptyinput-groupseparator

tool-scrape-cheerio/route.ts
API route implementing a web scraping assistant using streamText with Cheerio tools. Contains the AI pipeline with system prompt, tool binding, and step count limits.
tools/cheerio.ts
Core scraping engine and tool definitions using Cheerio. Implements scrapeUrl (HTML parsing, content extraction, retry with exponential backoff) and crawlWebsite (BFS crawler with depth limits).