Automate Amazon Price Drop Analysis with AI and Bright Data
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Leverage this n8n workflow to automatically scrape Amazon for price drop data, summarize key findings, and analyze sentiment using powerful AI models. Gain valuable insights into product pricing trends and customer reception.
About This Workflow
This advanced n8n workflow automates the process of identifying and analyzing price drops for Amazon products. It utilizes the robust Bright Data MCP Client to scrape e-commerce platforms for deal information. Subsequently, it employs Google Gemini's LLM capabilities to extract structured data, summarize the extracted content, and perform sentiment analysis on product reviews or descriptions. The workflow is designed to provide actionable insights into market trends, competitive pricing, and customer perception, making it an invaluable tool for e-commerce businesses looking to optimize their strategies.
Key Features
- Automated Price Drop Monitoring: Continuously track price drops on Amazon using Bright Data's scraping capabilities.
- AI-Powered Summarization: Condense large volumes of product information into concise, digestible summaries.
- In-Depth Sentiment Analysis: Understand customer sentiment towards products based on reviews and descriptions.
- Structured Data Extraction: Extract key product details and deal information into a structured format.
- Customizable Webhook Notifications: Receive alerts about significant price drops or sentiment shifts.
How To Use
- Set Input Fields: Configure the
Set input fieldsnode with the desiredprice_drop_url(e.g., CamelCamelCamel top drops) and awebhook_notification_urlto receive alerts. - Configure Bright Data: Ensure your Bright Data MCP Client credentials are set up correctly in the
Bright Data MCP Client List Toolsnode. - Set up AI Models: Connect your Google Gemini API credentials to the
Google Gemini Chat Model for Summarize ContentandGoogle Gemini Chat Model for Sentiment Analysisnodes. - Define Summarization and Sentiment Analysis: Adjust the
Summarize ContentandSentiment Analysisnodes as needed, particularly theinputSchemafor sentiment analysis to match your specific data structure. - Test and Run: Utilize the 'Test workflow' button to initiate the process and verify that data is being extracted, summarized, and analyzed as expected.
Apps Used
Workflow JSON
{
"id": "538114e2-70c7-4249-a22a-80b67289dc9b",
"name": "Automate Amazon Price Drop Analysis with AI and Bright Data",
"nodes": 11,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 538114e2-70c7...
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