Set up price checks for Amazon and eBay listings
An n8n flow watched product pages three times a day, emailed when prices moved, and kept a log of every run.
- What they did
- A seven-step n8n workflow was scheduled for 9am, 3pm, and 9pm. It pulled product names, URLs, and stored prices from a Google Sheet, then visited each page and used a code node with a regular expression to grab the current price. The workflow compared the new value with the saved one, sent a Gmail alert when it changed, and wrote each check to a history sheet.
- How it went
- The author used it to follow 12 products, including 4 direct competitors. They said it helped them spot rival price cuts within an hour instead of days later, and the log also exposed a Friday price-drop pattern from one competitor.
- Tips
- Some pages may block scrapers with a 403 response, so test a few URLs before relying on it. Price parsing can break when page layouts vary, so be ready to tweak the regex or use a User-Agent header or an official API.
Try it yourself with n8n
Create an n8n workflow for my Google Sheet called [sheet name] that tracks product names, product URLs, and the last recorded price. Run the check at [time 1], [time 2], and [time 3] each day: open each URL, extract the current price, compare it with the stored price, and update the sheet. If a price changes, draft an email to [my email] with the old price and the new price, then pause and ask me to approve before sending it. Also append each run to a history tab with the timestamp, URL, price found, and whether it changed. Finish only after a test run successfully updates the sheet and a simulated change reaches the approval step.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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