We’re trying to scrape data from WebKit-rendered pages, but the problem is that content loads dynamically. We wait for it to appear, we extract it, but sometimes the page is still rendering or content shifts after we grab it. We’re getting incomplete data or stale values.
I’ve been wondering if we could use a multi-agent approach where different agents handle different parts of the problem: one agent waits for the page to stabilize, another extracts the content, and a third validates and standardizes the output. That way, if one step fails, we have a clearer picture of where things broke.
Has anyone tried coordinating multiple agents for this kind of workflow? Does splitting the work actually make things more stable, or does it just add complexity?
Multi-agent workflows are actually perfect for this. You’re thinking about it right. Each agent handles one piece of the problem, and they communicate results.
Here’s how it works. Agent 1 monitors the page and confirms it’s stable (no new DOM mutations, all content rendered). Once it signals stability, Agent 2 extracts the data using selectors or AI-based content recognition. Agent 3 validates the extracted data against expected patterns and standardizes it (fix date formats, clean whitespace, etc.).
The reason this works better than a single script is error isolation. If extraction fails, you know it’s not because the page was still rendering. If validation fails, you know the raw data was captured correctly but needs transformation.
With Latenode, you set this up in the visual builder. Each agent is a node in the workflow. You can use the 400+ available AI models to handle the validation and standardization steps—some models are better at entity recognition, others at pattern matching. The platform orchestrates the handoff between agents.
Generating this from a simple description like “wait for page, extract data, validate” takes minutes with the AI Copilot.
The coordination itself isn’t the hard part. What gets tricky is defining “stable.” We measure it by watching for DOM changes over a time window—if nothing changes for 2 seconds, it’s stable. But sometimes there’s a later update that happens after you thought it was done.
What helped us was adding an explicit wait for specific elements. Instead of just waiting for any changes to stop, we wait for the actual data elements we care about. So if it’s a price, we wait for the price element to exist and have content. That’s way more reliable than generic stability checks.
We tried the multi-agent thing and honestly, it’s worth it for complex pages. The separation of concerns means debugging is easier. But don’t over-engineer it. We started with three agents and it was overkill for simple pages. Now we use two: one that waits and extracts, another that validates. That balance works for us.
Splitting extraction and validation is sensible. It allows you to retry the validation step independently if it fails, without re-scraping the page. The stabilization agent is less critical if you target specific elements rather than waiting for the whole page.