Tired of your web scrapers breaking because a single CSS class changed? Meet Intuned Agent, an AI that writes Playwright code and actually fixes its own bugs.
Any dev who has dabbled in web scraping or crawling knows the drill: you write a beautiful, elegant script that runs perfectly at 5 PM. By 3 AM, your alerts are screaming because the target website changed a single CSS class, and your whole pipeline is basically spaghetti.
Maintenance is the true sisyphean task of data scraping. But it looks like the tech wizards are finally rolling out a cure.
Over on Product Hunt, folks have been buzzing (96 score) about a new toy called Intuned Agent. Long story short for those too lazy to read the docs: it’s an AI agent built to handle production browser automation.
Instead of inspecting the DOM and manually writing Playwright code, you just hit it with a prompt describing your workflow. It writes the code, tests it on the live site, and deploys it.
But the real killer feature here isn't code generation (my smart fridge can probably write a hello-world API by now). The holy grail is Self-healing. When the target site changes and your scraper breaks, the agent digs into the logs and screenshots, figures out what went wrong, writes a hotfix, and redeploys it. You literally just sit back and sip your coffee.
Reading through the PH comments, you can tell the dev team went through the wringer to build this. Here’s the tea:
1. Lazy customers drive innovation: Faisal (Co-founder) mentioned that initially, Intuned was a code-first platform. But customers immediately hit them with: "Can you just build and maintain these for us?". So, they slapped Claude Code (via Anthropic Agent SDK) into the product to do the dirty work.
However, a sharp user quickly pointed out the elephant in the room: "When it writes a fix, does it open a PR for review, or just redeploy? Curious about the trust gradient, especially for auth'd flows." (Fair point—letting an AI blindly click around a logged-in session is how you accidentally order 500 office chairs).
2. Rigid pipelines belong in the trash: Nasser, one of the engineers, confessed that their first attempt used a rigid pipeline (discover -> structure -> fix). It failed miserably on real, messy websites. Even their internal solutions team refused to use it. Moving to a fluid, end-to-end agent approach was the only way to handle the chaos.
3. Babysitting an Agent is hard: Rauf and Omar Bishtawi touched on the infrastructural nightmare. You’re managing conversation state, browser state, billing state, and human approvals simultaneously. To prevent the agent from burning through idle compute cash, they rely on microVMs—spinning up instantly when needed.
And get this: Omar mentioned they built a specific CLI... just for the agent to use. The bot literally runs --help to figure out how to operate the platform. That is some wild, inception-level engineering.
From our perspective, Intuned Agent is scratching the biggest itch in the data collection world: Maintenance. Navigating iframes, CAPTCHAs, and infinite scrolls is annoying, but fixing them weekly is soul-crushing.
The lesson here for product builders? Sometimes users don't want a better drill; they literally just want a hole in the wall. Integrating AI shouldn't just be a gimmick; it should handle the grunt work.
Sure, if you are running your own custom scrapers on a cloud vps and using a solid Proxy network to bypass IP bans, you know how complex this gets. Having a tool abstract that away is tempting, provided you set the autonomy levels correctly so it doesn't go rogue.
What do you guys think? Are you ready to let an AI maintain your production scrapers?
Source: Product Hunt - Intuned Agent
