Collect and label images and send to Google Sheets
Streamline your visual research by automatically gathering images from web searches and identifying their contents using intelligent AI labeling. This workflow seamlessly categorizes these visual insights and records all findings into a structured Google Sheet for instant organization. It is the perfect tool for building intelligent image databases or tracking visual trends at scale.
Run this with your team's AIWhat This Recipe Does
This automation bridges the gap between raw web data and actionable business insights by combining intelligent web scraping with advanced image recognition. By utilizing AWS Rekognition, the workflow automatically analyzes images retrieved from the web, identifies key visual elements, and logs the findings directly into Google Sheets. Businesses no longer need to manually browse websites to track visual trends or catalog product information. This tool streamlines the process of gathering competitive intelligence, monitoring brand presence, and auditing digital assets. Instead of spending hours on manual data entry, your team can focus on analyzing the results and making informed strategic decisions. The integration ensures that every piece of data is structured, searchable, and stored in a central location, providing a real-time overview of visual data across the web. Whether you are tracking product launches or monitoring social media imagery, this automation provides a scalable solution for high-volume data collection and analysis without the need for manual intervention.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google Sheets connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Sheets once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Retail managers use this to automatically track competitor product images and catalog features or pricing changes in a central spreadsheet.
- Marketing agencies use this to monitor brand logo placements across various partner websites to ensure compliance and visual consistency.
- Real estate analysts use this to scrape property listings and automatically categorize features like pools or modern kitchens based on visual analysis.
Frequently Asked Questions
Do I need an AWS account to use this automation?
Yes, you will need an active AWS account and API credentials to utilize the Rekognition service for image analysis.
Can I change which data points are saved to Google Sheets?
Yes, you can easily customize the data mapping to capture specific labels, detected text, or confidence scores provided by the AI.
Does this work with any website?
The automation works with any publicly accessible URL that hosts images or visual content compatible with standard web requests.
How do I trigger the scraping process?
The workflow can be triggered manually through the Runwork interface or scheduled to run at specific intervals to keep your data current.
Coming from n8n?
This recipe uses nodes like HttpRequest, AwsRekognition, GoogleSheets, Set. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork