Jina AI Web Scraper

Scrape websites using Jina AI with JavaScript rendering and proxy rotation. Handles rate limiting and bot detection.

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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
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
2
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
3
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
4
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.

External services

Jina

3 files

13 total

npm packages

Upstashlucide-reactNext.jsReactsonnerZod

Registry components

alertbadgebuttoncardinputscroll-areaskeleton

lib/scraper.ts
Core scraping engine using Jina AI service (r.jina.ai): fetches via Jina's proxy endpoint, parses returned HTML using regex-based extractors for title, meta, content, links, and images.
lib/actions.ts
Server action entry point: URL validation with Zod, rate limiting, and orchestration of the Jina scraping pipeline.

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