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MediaMarkt Promotional Highlights Email Push Workflow

This workflow automatically scrapes discount information from the MediaMarkt website in Spain and generates personalized discount recommendation emails based on the product categories selected by users. Through intelligent categorization and content analysis, it ensures that the discount details are accurate and easy to read, sending them to users in real-time. This system not only saves time on manual searches but also enhances the relevance and practicality of the information, helping consumers receive timely updates on discounts of interest and improving their shopping experience.

Workflow Diagram
MediaMarkt Promotional Highlights Email Push Workflow Workflow diagram

Workflow Name

MediaMarkt Promotional Highlights Email Push Workflow

Key Features and Highlights

This workflow automatically extracts promotional information from the Spanish MediaMarkt website. Through intelligent categorization and content extraction, it generates personalized promotional recommendation emails and delivers them to users in real time. By incorporating user-selected product categories and leveraging the OpenAI language model, it accurately filters and translates promotion details to ensure content accuracy and readability. The final results are sent via email and displayed on the web form page, enhancing the overall user experience.

Core Problems Addressed

  • Automated acquisition and organization of e-commerce promotional data, eliminating the hassle of manual searching and filtering;
  • Customized promotion recommendations based on user interests to improve relevance and usefulness of information;
  • Timely notifications via email to ensure users do not miss desired deals;
  • Support for multiple categories and multi-selection to meet diverse shopping needs.

Application Scenarios

  • E-commerce platforms or deal aggregation websites providing personalized promotional pushes to users;
  • Retailers using automation tools to regularly send promotional campaigns, boosting customer engagement;
  • Consumers seeking automatic updates on the latest discounts in their preferred categories to save time;
  • Marketing teams automating the generation and distribution of promotional emails to enhance campaign efficiency.

Main Workflow Steps

  1. Users select their interested product categories and enter their email address via a web form, then submit the request;
  2. Use the BrightData node to scrape webpage content from specified MediaMarkt promotion pages;
  3. Extract webpage titles and main content using the HTML node;
  4. Analyze page content with the OpenAI GPT-4o-mini model to generate categorized promotional product lists (including product name, description, price, link, etc.);
  5. Split and organize the promotional product data;
  6. Use the document generation node to create HTML-formatted promotional email content based on templates;
  7. Send the promotional email to the user’s specified email address via the email (SMTP) node;
  8. Display a success message and the number of recommended promotions on the page after form submission.

Involved Systems or Services

  • BrightData: Used for web data scraping, bypassing anti-scraping mechanisms to obtain real-time promotional content;
  • OpenAI (GPT-4o-mini): Intelligent text processing and content classification to generate structured promotional lists;
  • n8n Form Node: Captures user input for categories and email, triggering the entire workflow;
  • Email Sending (SMTP): Pushes the generated promotional emails to users;
  • HTML Content Extraction and Document Generation Nodes: Handle webpage content processing and email template rendering.

Target Users and Value

  • E-commerce operations and marketing teams automating management and distribution of promotional content;
  • Consumers and shopping enthusiasts customizing and receiving timely updates on deals in their preferred categories;
  • Website administrators and automation enthusiasts building personalized promotional recommendation systems to improve user satisfaction and conversion rates;
  • Any scenario requiring integration of web data and customized content delivery via email.

This workflow achieves a closed loop from web scraping to personalized email push through automation and intelligence, significantly improving the efficiency of obtaining promotional information and enhancing user experience.