Latenode

Automatically Sync Amazon Prices to Google Sheets via Bright Data

This automated workflow enables users to monitor the real-time prices of Amazon product listings directly from a Google Sheets spreadsheet, using Bright Data's Amazon Scraper API.

It retrieves the latest pricing information for a list of specified products, updating the Google Sheet records to support market research, competitor analysis, and personal price tracking. The workflow is triggered on a scheduled basis, reading product URLs from the spreadsheet, processing them in batches, and making API requests to Bright Data to fetch the current prices. It then updates the Google Sheet with the new data, providing a centralized and up-to-date view of the monitored products.

Updated Apr 6, 2026Est. run: 26sEst. cost: $0.0703
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Scraping & data collection

Workflow preview

What this template does

  • Retrieves real-time Amazon product prices using the Bright Data API
  • Writes the updated pricing information to a Google Sheets spreadsheet
  • Supports market research, competitor analysis, and personal price tracking
  • Schedules regular data updates to maintain an up-to-date view of monitored products
  • Provides a centralized location to monitor the prices of selected Amazon listings

How it works

1
Trigger

Schedule the workflow

The workflow is set to run on a recurring schedule, automatically triggering the process to monitor Amazon product prices.

2
Action

Read product URLs from Google Sheets

The workflow retrieves the list of Amazon product URLs that need to be monitored from a Google Sheets spreadsheet.

3
Logic

Process product URLs in batches

The workflow processes the product URLs in batches of 10 to avoid overloading the Amazon Scraper API.

4
Action

Configure the Amazon Scraper

For each batch of product URLs, the workflow sets up the Bright Data Amazon Scraper with the current URL to fetch the real-time pricing information.

5
Logic

Extract and normalize price data

The workflow processes the response from the Amazon Scraper, extracting and normalizing the latest price data for each product.

6
Action

Update the Google Sheets spreadsheet

The workflow stores the latest product prices in the Google Sheets spreadsheet, providing a centralized and up-to-date view of the monitored Amazon products.

7
Logic

Wait before the next batch

The workflow pauses for 1 second between each batch of product URLs to avoid overloading the Amazon Scraper API.

Setup guide

1

Add Bright Data Credential

In the Latenode Credentials panel, add a new credential for Bright Data. Enter your Bright Data API key.

2

Configure Google Sheets Connection

In the Latenode Credentials panel, add a new credential for Google Sheets. Authenticate with your Google account and grant access to the Google Sheets you want to use.

3

Set Up Google Sheets Node

In the Latenode visual builder, add a Google Sheets node. Configure the node to read data from the specific Google Sheet and sheet you want to monitor. Map the relevant columns (Product URL, ZIP code, etc.) to the node's input fields.

4

Configure Bright Data Node

In the Latenode visual builder, add a Bright Data node. Select the 'Amazon Scraper' API and configure the node with the Bright Data credential added earlier. Map the 'Product URL' and 'ZIP code' fields from the Google Sheets node to the corresponding inputs in the Bright Data node.

5

Update Google Sheets with Prices

In the Latenode visual builder, add a final Google Sheets node to update the original spreadsheet with the latest product prices fetched from the Bright Data API. Map the relevant price data fields to the corresponding columns in the Google Sheets.

Requirements

Bright Data Amazon Scraper API account with API key
Google Sheets account with access to the target spreadsheet
Latenode workspace with 'headless-browser', 'javascript', and 'google-sheets' nodes configured
Latenode workspace variables for Bright Data API key and Google Sheets spreadsheet/tab names

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.

More templates

You might also like

Browse all templates →
Scraping & data collection

Automatically Sync Google Maps Business Data to a Spreadsheet

This automation workflow allows users to efficiently scrape business data from Google Maps, including names, contact details, and reviews, and export the structured information into a spreadsheet or database. The workflow uses the SerpAPI service to retrieve Google Maps search results, which are then transformed and appended to a Google Sheet. This enables users to generate leads, conduct market analysis, and gain valuable insights from the collected data in a cost-effective and scalable manner.

26s$0.0703
Scraping & data collection

Scrape Zillow property data and sync to Google Sheets automatically

This Latenode automation extracts real estate listing details from Zillow and automatically populates a Google Sheets spreadsheet with the property data. It leverages the Scrape.do web scraping API to bypass anti-bot protections and fetch the full HTML of Zillow listings, then parses key information like price, address, days on Zillow, and Zestimate, and saves the structured results into a Google Sheet. This solution is designed for real estate professionals, investors, and market analysts who need to collect property data at scale without manual effort, enabling better market research, portfolio tracking, and lead generation.

9s$0.0006
Scraping & data collection

Automatically scrape and store Booking.com hotel data

This workflow automates the search and extraction of hotel data from Booking.com, triggered by a chat message. It uses a combination of web scraping with Bright Data's Web Scraper and AI-powered data processing with OpenRouter to deliver a concise, human-friendly list of hotels, including the title, address, original price, and final price. The final output is a clean and formatted report, making it a valuable tool for travelers, event planners, and business professionals who need to quickly find accommodation.

26s$0.0703