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Auto-track Amazon prices with Google Gemini & send alerts to Telegram

Issam AGGOURIssam AGGOUR
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2/3/2026
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AI-Powered Amazon Price Tracker to Telegram

Overview

Automate your deal hunting with this intelligent Amazon price tracker. This workflow uses the power of AI to monitor any Amazon product page at regular intervals. When the price drops to or below your desired target, it instantly sends a notification to your Telegram chat. Say goodbye to manual price checking and never miss a sale, a lightning deal, or a Black Friday bargain again.

Unlike traditional scrapers that break when a website's layout changes, this workflow uses a Large Language Model (Google Gemini) to understand the page content, making it significantly more robust and reliable.

πŸš€ Key Features

  • AI-Powered Data Extraction: Leverages Google Gemini to intelligently read the product page and extract the name and price, making it resilient to Amazon's frequent layout updates.
  • Scheduled Automation: Set it up once with a schedule (e.g., every hour) and let it run in the background.
  • Instant Telegram Alerts: Get real-time notifications directly in Telegram the moment a price drops to your target.
  • Centralized & Easy Configuration: A single Set node holds all your settingsβ€”product URL, target price, and Telegram Chat IDβ€”for quick and easy updates.
  • Built-in Error Handling: Intelligently checks if data was extracted correctly and sends an error alert if it fails, so you're always in the loop.
  • Cost-Efficient Processing: Includes a pre-processing step to clean and simplify the page's HTML, reducing the amount of data sent to the AI and lowering potential token costs.

βš™οΈ How It Works

The workflow follows a clear, linear process from scheduling to notification.

1. Initiation and Configuration

  • A Schedule node triggers the workflow automatically at your chosen interval (e.g., every hour).
  • A Set node named Config: Product & Alert acts as your control panel. Here, you define the Amazon product URL, your target price, and your Telegram Chat ID.

2. Fetch and Clean Product Page

  • An HTTP Request node fetches the full HTML content of the Amazon product URL.
  • A Code node then cleans this raw HTML. It strips out unnecessary scripts, styles, and tags, leaving only the core text content. This crucial step makes the data easier for the AI to analyze accurately and efficiently.

3. AI-Powered Data Extraction

  • An AI Agent node sends the cleaned text to the Google Gemini model.
  • It uses a specific prompt to ask the AI to identify and extract the product's name (productName) and its current price (priceValue) as a number.
  • A Structured Output Parser ensures the AI returns the data in a clean, predictable JSON format (e.g., {"productName": "...", "priceValue": 49.99}), which is essential for the next steps.

4. Validate and Compare Price

  • An IF node first validates the AI's output, checking if a valid price was successfully extracted. If not, it routes the workflow to send an error message.
  • If the data is valid, a second IF node compares the extracted priceValue with your priceTarget from the configuration node.

5. Prepare and Send Telegram Notification

  • If the current price is less than or equal to your target price, the workflow proceeds down the "true" path.
  • A Set node constructs a formatted, user-friendly success message including the product name, the new low price, and a direct link to the product page.
  • Finally, a Telegram node sends this prepared message to your specified Chat ID. If an error occurred at any stage, a corresponding error message is sent instead.

πŸ› οΈ Setup Steps & Credentials

To get this workflow running, you'll need to configure the following:

  1. Google Gemini:
    • You need a Google AI (Gemini) API Key.
    • Create a Google Gemini(PaLM) Api credential in n8n.
    • Assign this credential to the Google Gemini Chat Model node.
  2. Telegram:
    • You need a Telegram Bot Token. Get one by talking to the @BotFather on Telegram.
    • You also need your personal Chat ID. You can get this from a bot like @userinfobot.
    • Create a Telegram credential in n8n with your Bot Token.
    • Assign this credential to both the Send Success and Send Error Telegram nodes.
  3. Workflow Configuration:
    • Open the Config: Product & Alert node.
    • Replace the placeholder values:
      • telegramChatId: Paste your Telegram Chat ID.
      • amazonUrl: Paste the full URL of the Amazon product you want to track.
      • priceTarget: Set your desired price (e.g., 49.99).

Once configured, save the workflow and activate it using the toggle in the top-right corner.

πŸ’‘ Customization & Learning

This workflow is a powerful template that you can easily adapt and expand:

  • Track Multiple Products: Modify the workflow to read product URLs and target prices from a Google Sheet or Airtable base to monitor many items at once.
  • Add More Notification Channels: Duplicate the Telegram node and add Discord, Slack, or Email nodes to receive alerts on multiple platforms.
  • Store Price History: Connect a Google Sheets, Airtable, or database node after the AI extraction step to log the price of the product over time, creating a historical price chart.
  • Switch AI Models: Easily swap the Google Gemini node for an OpenAI or Anthropic model by adjusting the prompt and credentials.

Automated Amazon Price Tracker with Google Gemini and Telegram Alerts

This n8n workflow automates the process of tracking Amazon product prices, analyzing them with Google Gemini for potential deals, and sending alerts to Telegram when a significant price drop or a good deal is identified.

What it does

This workflow simplifies price monitoring and deal identification for Amazon products by:

  1. Scheduling: Runs on a predefined schedule (e.g., daily, hourly) to check for updates.
  2. Fetching Product Data: Makes an HTTP request to a specified Amazon product URL to retrieve its current price and other relevant information.
  3. Analyzing Price with AI: Utilizes Google Gemini via an AI Agent to analyze the fetched price against historical data or a target price (which needs to be defined within the AI Agent's prompt or context, not explicitly visible in the JSON but implied by the use of an AI Agent for analysis). The AI Agent is configured with a structured output parser to extract specific deal-related information.
  4. Conditional Alerting: Checks the AI's analysis to determine if a price drop or a good deal has been identified.
  5. Formatting Alert Message: If a deal is found, it formats a clear and concise alert message.
  6. Sending Telegram Notification: Sends the formatted alert message to a specified Telegram chat.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Telegram Bot Token: A Telegram bot token and the chat ID where you want to receive notifications. You can create a bot via BotFather on Telegram.
  • Google Gemini API Key: An API key for Google Gemini (or a compatible Google AI Studio model) configured as a credential in n8n.
  • Amazon Product URLs: The URLs of the Amazon products you wish to track. These will need to be configured within the HTTP Request node.

Setup/Usage

  1. Import the Workflow:
    • Copy the provided JSON code.
    • In your n8n instance, click "New Workflow".
    • Go to the "Import" menu (usually a cloud icon or "File" -> "Import from JSON") and paste the JSON code.
  2. Configure Credentials:
    • Telegram: Set up a Telegram credential with your Bot Token.
    • Google Gemini: Set up a Google Gemini Chat Model credential with your API Key.
  3. Configure Nodes:
    • Cron (Node 7): Adjust the schedule to your desired frequency (e.g., once a day, every few hours).
    • HTTP Request (Node 19):
      • Change the URL to the Amazon product page you want to track.
      • You might need to add headers (like User-Agent) to avoid being blocked by Amazon.
      • Ensure the response is parsed correctly to extract the price. This might require some custom JavaScript in a subsequent Code node if direct parsing is not straightforward.
    • AI Agent (Node 1119):
      • Review and refine the System Message and User Message to guide Google Gemini on how to analyze the Amazon product data (e.g., "Analyze the current price of {{ $json.currentPrice }} for product {{ $json.productName }} against a typical price of X or a target price of Y. If the price is a good deal or has dropped significantly, explain why and suggest a Telegram message.").
      • Ensure the Tools and Memory (Simple Memory, Node 1163) are configured appropriately if you want the agent to remember past interactions or use external data.
    • Structured Output Parser (Node 1179): This node is crucial for extracting structured data from the AI Agent's response. Define the expected JSON schema for the AI's output (e.g., {"isDeal": boolean, "reason": string, "alertMessage": string}).
    • If (Node 20): Configure this node to check the output of the "Structured Output Parser" (e.g., {{ $json.isDeal }} is true).
    • Edit Fields (Set) (Node 38): This node formats the final message to be sent to Telegram. Ensure it uses the alertMessage extracted by the Structured Output Parser.
    • Telegram (Node 49): Select your Telegram credential and specify the Chat ID where the alerts should be sent.
  4. Activate the Workflow: Once configured, activate the workflow to start tracking prices.

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