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Monitor Amazon product prices with Bright Data and Google Sheets

Cyril Nicko GasparCyril Nicko Gaspar
1571 views
2/3/2026
Daily DigestSlackSales ReportShopifyE-commerce
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Amazon Price Monitoring Workflow

This workflow enables you to monitor the prices of Amazon product listings directly from a Google Sheet, using data provided by Bright Data’s Amazon Scraper API. It automates the retrieval of price data for specified products and is ideal for market research, competitor analysis, or personal price tracking.

✅ Requirements

Before using this template, ensure you have the following:

  • A Bright Data account and access to the Amazon Scraper API.
  • An active API key from Bright Data.
  • A Google Sheet set up with the required columns.
  • N8N account (self-host or cloud version)

⸻

⚙️ Setup

1. Create a Google Sheet with the following columns:

  • Product URL
  • ZIP Code (used for regional price variations)
  • ASIN (Amazon Standard Identification Number)

2. Extract ASIN Automatically using the following formula in the ASIN column:

=REGEXEXTRACT(A2, "/(?:dp|gp/product|product)/([A-Z0-9]{10})")
  • Replace A2 with the appropriate cell reference

3. Obtain an API Key:

  • Sign in to your Bright Data account.
  • Go to the API section to generate an API key.
  • Create a Bearer Authentication Credential using this key in your automation tool.

4. Configure the Workflow:

  • Use a node (e.g., “Google Sheets”) to read data from your sheet.
  • Use an HTTP Request node to send a query to Bright Data’s Amazon API with the ASIN and ZIP code.
  • Parse the returned JSON response to extract product price and other relevant data.
  • Optionally write the output (e.g., current price, timestamp) back into the sheet or another data store.

⸻

Workflow Functionality

  • The workflow is triggered periodically (or manually) and reads product details from your Google Sheet.
  • For each row, it extracts the Product URL and ZIP code and sends a request to the Bright Data API.
  • The API returns product price information, which is then logged or updated back into the sheet using ASIN.
  • You can also map the product URL to the product URL, but ensure that the URL has no parameters. If the URL has appended parameters, refer to the input field from the Bright Data snapshot result.

⸻

💡 Use Cases

  • E-commerce sellers monitoring competitors’ prices.
  • Consumers tracking price drops on wishlist items.
  • Market researchers collecting pricing data across ZIP codes.
  • Affiliate marketers ensuring accurate product pricing on their platforms.

⸻

🛠️ Customization

  • Add columns for additional product data such as rating, seller, or stock availability.
  • Schedule the workflow to run hourly, daily, or weekly depending on your needs.
  • Implement email or Slack alerts for significant price changes.
  • Filter by product category or brand to narrow your tracking focus.

Monitor Amazon Product Prices with Bright Data and Google Sheets

This n8n workflow automates the process of monitoring Amazon product prices. It leverages Bright Data to scrape product information and stores the data in a Google Sheet, making it easy to track price changes over time.

What it does

This workflow simplifies price monitoring by:

  1. Triggering on a Schedule: The workflow starts at predefined intervals (e.g., daily, hourly) to check for updates.
  2. Fetching Product URLs from Google Sheets: It reads a list of Amazon product URLs from a specified Google Sheet.
  3. Looping Through Products: For each product URL, it initiates a series of actions.
  4. Scraping Product Data with Bright Data: It uses an HTTP Request node to send the Amazon product URL to Bright Data's Web Scraper API, extracting details like price, title, and availability.
  5. Adding a Delay: A short wait period is introduced between scraping requests to avoid overwhelming the target website and ensure reliable data retrieval.
  6. Aggregating Scraped Data: After processing all products, the scraped data for the current run is collected.
  7. Appending Data to Google Sheets: The aggregated product information (including the current price and timestamp) is then appended as new rows to the Google Sheet, creating a historical record.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Account: A running instance of n8n.
  • Google Account: To create and manage Google Sheets.
  • Google Sheets Credential: Configured in n8n to allow access to your Google Sheets.
  • Bright Data Account: With access to their Web Scraper API.
  • Bright Data Credential: Configured in n8n for the HTTP Request node. This typically involves an API key or username/password for authentication.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Google Sheets: Set up a new Google Sheets credential in n8n if you haven't already.
    • Bright Data: Set up an HTTP Request credential for Bright Data, providing your API key or authentication details.
  3. Prepare Google Sheet:
    • Create a new Google Sheet.
    • In the first sheet, create a column named Product URL (or similar) and populate it with the Amazon product URLs you want to monitor.
    • Ensure the Google Sheets node in the workflow is configured to read from this sheet and write to another sheet (or the same one, if you prefer to append).
  4. Configure Nodes:
    • Schedule Trigger: Adjust the schedule to your desired frequency (e.g., once a day, every 6 hours).
    • Google Sheets (Read): Configure this node to read the product URLs from your Google Sheet. Specify the Spreadsheet ID and Sheet Name.
    • HTTP Request: Update the URL and headers for the Bright Data Web Scraper API call. Ensure the URL parameter in the request body correctly references the Product URL from the Google Sheet data (e.g., {{ $json.url }}).
    • Google Sheets (Write): Configure this node to append the scraped data to your Google Sheet. Specify the Spreadsheet ID and Sheet Name. Map the incoming data fields (e.g., title, price, timestamp) to the corresponding columns in your Google Sheet.
  5. Activate the Workflow: Once configured, activate the workflow in n8n. It will now run automatically based on your schedule.

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