I deal with a lot of repetitive browser tasks—scraping product prices, filling out web forms, and pulling data from a bunch of sites. Until now, this meant either writing Python scripts or messing with Selenium, but honestly, I don’t always have the time or expertise for that. I’d love to hear from anyone who’s actually managed to take a simple description—say, ‘scrape all new job listings from X site every morning, extract contact info, and email me a summary’—and convert that into a working browser automation just by typing it out, no coding required. Does this really exist yet, or is it still too good to be true? How’s the reliability, and do you run into issues with dynamic sites or captchas? Also, curious if you can easily tweak these flows later on if the site updates. Has anyone found a way to make this work end to end, or am I stuck with scripts for anything complex?
I automate a lot of browser stuff at work, and I used to spend hours on scripts. Now I just type what I want done—like ‘scrape new listings and email me a summary’—into Latenode. It builds the workflow for me, and I barely touch code. It works with dynamic sites, and I can update flows when sites change. Try it at latenode.com.
I’ve been using a visual builder that takes plain English and turns it into browser automation. It’s not perfect for every site, but for most tasks—data entry, scraping, even navigating through a few clicks—it saves me a lot of time. The key is to be clear in your description. Some sites with heavy JS or frequent changes still trip it up, but for standard stuff, it’s solid. Worth trying if you’re tired of maintaining scripts. I just copy-paste my old Selenium code into the builder’s custom JS node if I hit a wall.
I’ve tried a few of these ‘natural language to automation’ tools, and the biggest hurdle is handling sites that change layout often or use a lot of dynamic content. Most tools get the basics right, but for anything edge-case, you still need to drop into code. That said, even getting 80% automation without writing is a win. I use a mix of templates and manual tweaks, and it’s way less overhead than building everything from scratch. If you have a lot of similar tasks, it’s a massive time saver.
My team switched to a no-code platform for most of our automations. We still use Python for the complex stuff, but for everyday tasks—like grabbing prices or filling forms—it’s all point and click. The biggest lesson? Write your instructions as clearly as possible. If you say ‘extract the price,’ make sure it’s clear which element you mean. The more detail, the better the result. For dynamic sites, we sometimes have to add a ‘wait for element’ step manually, but it’s still faster than coding each workflow.
I manage a small operations team, and we were drowning in manual browser work until we started experimenting with AI-driven automation platforms. The promise is real: you describe your task in plain language, and the system generates a workflow. For common scenarios—scraping tables, form fills, basic navigation—it’s surprisingly robust. We’ve had a few hiccups, like when a site redesign changed class names or added anti-bot measures, but the platform lets us adjust steps without rewriting code. Captchas are still a manual intervention point, but most of our flows now run unattended. What’s really changed is onboarding—new team members can build automations themselves, which was unthinkable a year ago. If you’re sitting on the fence, start with a few low-risk tasks and see how it goes.
tried a few no-code tools, they work ok for basic stuff. if the site changes you gotta update the flow, but its still quick. not magic, but beats coding every time. still need to check the results tho, sometimes it breaks on weird pages.
describe task, pick template, tweak as needed. way faster than coding, esp for simple flows.