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Work & OperationsDone with custom-built or unnamed agent 2026-10-28
Pull supplier email data into an inventory sheet
A built email scraping agent extracts relevant data from supplier emails and updates a Google Sheet in real time for a small e-commerce store.
- What They Did
- The poster built a private script for a friend’s small e-commerce store that watched supplier emails, used OpenAI’s o3-mini plus o1-mini to extract and clean the inventory details, saved the output to CSV, and then uploaded it into Google Sheets. The store owner had been entering the data manually; the poster then sold the same setup to other businesses and handled ongoing maintenance.
- How It Went
- They say it saved clients hours each week, improved stock management, and brought in more than $2,000 in revenue. Pricing in the thread was $200 to set up and $50 per month, with the poster saying scaling the service was the main problem.
- Worth Knowing
- The clearest copyable detail is the business model: $200 upfront plus $50 monthly to keep it running and maintain it.
Try it yourself with custom-built or unnamed agent
Build a workflow that watches my inbox for emails from suppliers like [supplier names or label]. For each one, extract [SKU, quantity, price, ship date, order number] and add or update a row in my Google Sheet [sheet name]. It's finished when a test email produces a correct row; flag any email it can't parse for me to review instead of guessing.