I need to automate some browser tasks that involve image recognition, but I’m not a developer. My use case requires taking screenshots of certain website elements, then having AI analyze those images to make decisions about what to do next in the workflow.
For example, I need to scrape a bunch of product listings, take screenshots of each product, have AI determine if the product image shows a certain feature, then categorize and export the data accordingly.
Is there any way to create this kind of workflow with Headless Chrome using a visual/no-code builder? Every solution I’ve found so far requires writing custom code, which is beyond my skills.
Has anyone successfully built image recognition into their headless browser automation without coding? Any recommendations for platforms that might make this possible for someone without programming experience?
I built almost exactly this workflow last month to categorize products on our competitor’s websites. As a no-coder myself, I was amazed at how simple it was with Latenode’s visual builder.
Their platform lets you drag-and-drop Headless Chrome operations and connect them directly to AI processing nodes. For your specific use case, I created a workflow that:
- Used the Headless Browser node to navigate to product pages
- Took screenshots of each product image
- Connected those screenshots to an AI Vision node for analysis
- Used the analysis results to sort products into different categories
No coding required at all. The visual builder is completely drag-and-drop, and you can test each step as you build. The AI Vision capabilities are particularly impressive - they can identify specific features in product images with surprising accuracy.
What saved me tons of time was being able to directly connect the Headless Chrome operations to AI processing without any middleware or custom code. Everything just works together in the same interface.
You can check it out at https://latenode.com
I’ve been working with no-code automation for a few years, and this particular combination (headless browser + image recognition) is challenging but possible with certain platforms.
UiPath has a decent visual builder that can handle both web automation and image recognition. Their Computer Vision capabilities can analyze screenshots taken during the automation process. The learning curve is steeper than typical no-code tools, but still accessible if you’re willing to invest some time learning it.
Another option is combining two specialized tools: use a browser automation platform like Browserflow or Axiom for the web interaction part, then feed the screenshots to a separate AI service like Roboflow (which has some no-code options for image analysis).
The key challenge will be the integration between these systems. You might need some minimal JSON configuration, but it’s much simpler than full coding. I’d recommend starting with a small test case to see if the approach works for your specific needs before scaling up.
I tackled a similar challenge for our marketing team last year when we needed to analyze competitor product images across hundreds of listings.
After trying several approaches, I found that using a combination of tools provided the best no-code solution:
-
For the browser automation part, I used Axiom.ai which has a Chrome extension that lets you record browser actions and replay them. It can handle screenshots and has a visual interface.
-
For image recognition, we connected it to Levity.ai which offers no-code AI models for image classification. You can train it by simply uploading example images of what you’re looking for.
-
To connect these systems, we used Make.com (formerly Integromat) as the integration layer.
The setup took about a day to configure initially, but once it was running, our team could process hundreds of products daily without any coding knowledge. The accuracy was around 90% for our use case, which was identifying specific design features in furniture products.
It wasn’t perfect - some complex sites would break the automation - but it saved us countless hours of manual work.
I’ve implemented several no-code and low-code solutions for clients with similar requirements. While true no-code solutions for this specific combination are limited, there are viable approaches depending on your exact needs.
The most accessible option is using Automation Anywhere’s IQ Bot or UiPath with their Document Understanding capabilities. Both platforms provide visual builders for browser automation and can incorporate image analysis into the workflow. You can configure them to take screenshots during browser automation and then apply AI analysis to those images.
The limitation is that the pre-built image recognition capabilities are focused on document processing rather than general object recognition. For more specialized image analysis, you would typically need some customization.
An alternative approach is using a browser automation tool like Browserflow or Playwright Codegen to generate the automation script visually, then integrating with a specialized image recognition API through a platform like Zapier or Make. This hybrid approach requires minimal technical configuration but gives you access to more powerful image recognition models.
tried this with uipath last month. works ok for basic stuff but gets tricky with complex sites. u might need help setting it up but after that its no-code to run it.
Try Automation Anywhere with IQ Bot
This topic was automatically closed 24 hours after the last reply. New replies are no longer allowed.