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Track competitor and marketplace prices automatically, spot drops fast, and alert your team or customers in minutes. Stop missing deals and protect margin without daily manual checks.
A workflow checks prices on a schedule or when a webhook fires, then compares the latest value to your baseline. Data can come from product pages (scraping), feeds, or APIs, and it’s stored in tools like Google Sheets or a database for history. Rules decide what matters: “below $50,” “dropped since yesterday,” or “undercuts our price.” When conditions match, you get an alert in Slack, Gmail, or Telegram, and the workflow can also create tasks or update dashboards.
Not really. Most Flowpast workflows are plug-and-play: you paste product URLs, set thresholds, and choose where alerts go. If you can use Google Sheets and connect Slack, you’ll be fine.
If you or your team checks prices daily, automation can cut that routine work in half, sometimes more. Instead of scanning 50 tabs, you review a short alert list and act. It also reduces context switching, which honestly is where a lot of time disappears. For agencies, it’s a cleaner client deliverable: scheduled reports, documented changes, and fewer “did we miss that drop?” moments. The bigger the catalog, the faster the payoff.
You’ll need a list of products to track (URLs, SKUs, or feed links) and a place to store results like Google Sheets. Pick an alert channel—Slack, Gmail, or Telegram are common—and connect your accounts in n8n. Some sites may block scraping, so using an API or a scraping provider can help when needed. Start with 10–20 key products, validate the data for a few days, then expand once you trust the alerts.
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