This n8n workflow streamlines the process of web scraping and data collection from Amazon using Bright Data’s Web Scraper API. Designed for data analysts, developers, and researchers, it automates the entire cycle from initiating a snapshot to saving structured data locally, enabling efficient large-scale web data extraction.

The workflow begins with a manual trigger, which can be activated to start the process. It then checks if the data is ready (‘ready’ status) via an API query. If the snapshot is complete, it proceeds to download the snapshot of web data, waits appropriately, and examines for any errors during the process.

Once the data is confirmed as successfully retrieved, the workflow aggregates the JSON response and generates a binary version of the data, which it then writes to disk as a JSON file. Throughout, there are notes and instructions embedded as sticky notes to assist users, and webhook notifications are triggered to send updates or results externally.

This automation is highly useful for teams involved in competitive analysis, price monitoring, or market research, where structured web data from e-commerce sites like Amazon is essential for analysis.

Practical use cases include bulk product data gathering for AI & ML projects, market trend analysis, or continuous web monitoring setups that require minimal manual intervention.