This n8n workflow automates the process of monitoring product data by integrating Google Sheets, Bright Data API, and scheduled triggers. It begins with a schedule trigger or webhook to initiate the process, reads product URLs and associated ZIP codes from a Google Sheet, and batches the URLs for processing. Each batch is sent to Bright Data’s API to trigger data retrieval for specific product URLs, with requests spaced out to avoid overload. The workflow then checks the status of each data snapshot, waits for completion if necessary, and retrieves the processed data. Finally, it updates the Google Sheet with the latest product prices and ASINs, providing an automated and continuous monitoring system suited for tracking product prices or availability over time. This workflow is practical for online sellers, market researchers, or anyone who needs to keep an eye on product data at scale.
Automated Product Data Monitoring with Bright Data and Google Sheets
Node Count | 11 – 20 Nodes |
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Nodes Used | aggregate, googleSheets, httpRequest, scheduleTrigger, splitInBatches, stickyNote, switch, wait |
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