Build a scraper app and deploy it
A developer used Replit Agent to make a Hacker News scraper with storage, an API, and a front end, then deployed it.
- What they did
- They started with a short prompt asking for ongoing scraping of Hacker News, saving items in Postgres, and showing them in a front end. The agent drafted a plan, they approved it, and it created a Flask and SQLAlchemy app with scraper logic, database models, API routes, and HTML pages. After checking the result, they clicked Deploy.
- How it went
- The finished app pulled Hacker News items into Postgres and displayed them in the browser. The write-up did not mention any build problems, timings, or other measurements.
- Tips
- For a setup like this, ask the agent to outline the scraping target and update pace first. Make it pause for your approval before any deploy step or other action that could change the live app.
Try it yourself with Replit Agent
Create a web app that [scrapes a site or feed] on a regular schedule, saves each item's [fields to store] in [database type], and shows the saved items in a simple page. Build the backend, database models, API routes, and front-end list view, then summarize the plan for me before you make changes. Pause and ask for my approval before deploying, sending anything, deleting anything, or making any irreversible change. After that, show me how to run and verify it in the preview.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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