Zalando Product Price Monitoring and Notification Workflow
This workflow is designed to automatically monitor product prices on the Zalando e-commerce platform. It periodically fetches and parses product information to update the latest prices in Google Sheets and records price history. When the price falls below a user-defined alert value, the system automatically sends an email notification, helping users seize shopping opportunities in a timely manner, saving time and effort. It is suitable for e-commerce shoppers, operations personnel, and data analysts.
Tags
Workflow Name
Zalando Product Price Monitoring and Notification Workflow
Key Features and Highlights
This workflow automates price monitoring for products on the Zalando e-commerce platform. It periodically scrapes product page data, parses and formats product names and prices, and updates product information along with price history records in Google Sheets in real time. When a product’s price drops below a user-defined alert threshold, the workflow automatically sends an email notification, enabling users to seize price change opportunities promptly.
Core Problems Addressed
- Manual monitoring of numerous product prices is time-consuming, labor-intensive, and prone to missing price changes.
- Inefficient management and recording of product price history hinder data analysis.
- Lack of an automated price alert mechanism results in missed shopping opportunities.
Use Cases
- E-commerce shoppers track price dynamics of desired products for smarter purchasing decisions.
- Price-sensitive consumers receive timely promotional alerts via email notifications.
- E-commerce data analysts maintain price databases for trend analysis.
- Monitoring promotional campaigns and competitor pricing.
Main Workflow Steps
- Form Trigger (Monitor Zalando Product): Users submit Zalando product URLs and price alert thresholds.
- Add Product: New product information is written into the “Links” worksheet in Google Sheets.
- Scheduled Trigger: The monitoring process is automatically initiated at preset intervals.
- List Products: Reads all monitored product data from Google Sheets.
- Scrape Product Page: Retrieves product webpage content via HTTP requests.
- Format Data: Parses HTML to extract product name and current price.
- Update Product Information: Synchronizes the latest product prices in Google Sheets.
- Log Price History: Appends or updates the daily price in the “Pricing History” worksheet.
- Price Alert Evaluation: Checks if the current price is below the user-defined alert threshold.
- Send Email Notification: Automatically sends a price drop alert email via Gmail if the price is below the threshold.
Systems and Services Involved
- Google Sheets: Stores and manages product data and price history.
- HTTP Request: Fetches Zalando product webpage content.
- Gmail: Sends price alert email notifications.
- n8n Schedule Trigger: Automates periodic execution of monitoring tasks.
- n8n Form Trigger: Enables users to add monitored products via form submissions.
Target Users and Value
- E-commerce Shoppers: Automate price tracking of favorite products to save time and effort.
- E-commerce Operators: Gain real-time insights into competitor pricing to optimize promotional strategies.
- Data Analysts: Systematically record price changes to support in-depth analysis.
- Cost-Conscious Consumers: Utilize price alerts to capture the best purchase timing and reduce expenses.
This workflow is meticulously designed by n8n.ninja to provide an all-in-one solution for e-commerce product price monitoring, empowering users to achieve intelligent shopping and data-driven decision-making with ease.
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