I’ve got a project coming up that needs to scrape data from three different sites. Each one requires login, each one has a different layout, and I need to extract specific fields and combine them into a dataset.
Normally this would mean writing Playwright or Selenium code, handling timeouts, dealing with dynamic elements, maybe writing some pretty ugly xpath or css selectors. It’s always been a coding project.
But here’s my question: can this actually be done without writing code at all? I know there are drag-and-drop builders out there, but I’m skeptical about whether they can handle the complexity of multiple login states, dynamic page navigation, and data extraction from different DOM structures.
Has anyone actually built something like this with a visual builder? What was your experience? What broke or didn’t work as expected?
I was skeptical too until I actually tried it. You can absolutely build this without code.
I built something similar last quarter—login to three different sites, navigate through different pages on each, extract data, combine it. The whole thing was visual.
The key is that a proper no-code builder handles the tricky stuff for you. You drag in a login node, configure the fields, the builder waits for the page to load and recognizes when you’re authenticated. You drag in navigation steps, it handles the waits. You highlight the data you want to extract, it generates the selectors.
The complexity isn’t in the coding—it’s in thinking through your process clearly. Once you know exactly what steps need to happen, the builder handles the execution.
With Latenode, I used the visual builder to set up the login flows, then added data extraction nodes that automatically parsed the page structure. The platform’s browser automation handles the timing and state management that usually eats up coding time.
I built something exactly like this six months ago. Three financial sites, different login screens, different page structures. No code at all.
The surprising part was that the hard work wasn’t the coding—it was figuring out exactly what data I needed and how to identify it consistently across different page layouts. Once I had that clarity, the visual builder made it straightforward.
What I thought would be a blocker—handling dynamic elements—wasn’t actually a problem. Modern builders have built-in waits and retry logic that handles most of what you’d manually code anyway.
The biggest challenge I faced was site changes breaking selectors, but that would have happened regardless of whether I used code or a builder.
It’s possible, but success depends heavily on how well the builder handles dynamic content and timing. I’ve used visual builders for single-site scraping without issues, but multi-site workflows with different login patterns add complexity.
The visual approach works best when you can test and validate each step as you build it. The trade-off is that you might hit edge cases the builder doesn’t handle well, whereas custom code gives you more control to handle those exceptions.
I’d say test it on one of your three sites first before committing the whole project.
I’ve managed multi-site data extraction using visual automation tools, and the feasibility depends on consistency across target sites. With three different login mechanisms and varying DOM structures, the key is using a builder that provides both pre-built authentication nodes and flexible element selection. Most modern platforms include wait conditions and retry logic that handle the asynchronous nature of web pages. The real complexity isn’t the interface—it’s designing your extraction logic to handle slight variations between sites. I discovered that spending time upfront mapping data points across all three sites dramatically reduces build time in the visual interface.
Visual builders have matured significantly for browser automation tasks. No code approaches work particularly well when handling multiple login states because the builder abstracts authentication patterns. Element extraction becomes manageable through visual selection tools combined with xpath or css handling. The constraint isn’t technical capability—it’s the builder’s flexibility in handling page-specific variations. Most serious platforms include conditional logic and error handling that replicate imperative coding patterns through visual metaphors.