Who is this workflow for? This workflow automates the extraction of articles from the YCombinator news page, organizes the data into a structured list, and delivers it as an Excel file via email. Leveraging n8n’s capabilities, it streamlines the process of data collection and distribution, enhancing efficiency and reliability..

What does this workflow do?

  • HTTP Request Node: Initiates the workflow by sending a request to the YCombinator news webpage to fetch the latest articles.
  • HTML Node: Parses the retrieved HTML content to identify and extract relevant data points such as article titles, authors, and publication dates.
  • ItemList Node: Organizes the extracted data into a structured list, preparing it for further processing.
  • Spreadsheet File Node: Converts the structured list into an Excel (.xls) file. The file name is dynamically generated using the current date and the specified file format, ensuring uniqueness and easy identification.
   "Ycombinator_news_{{new Date().toISOString().split('T', 1)[0]}}.{{$parameter["fileFormat""]}}""
  1. Email Node: Attaches the generated Excel file and sends it to the specified recipients

    🤖 Why Use This Automation Workflow?

    • Automated Data Extraction: Eliminates the need for manual scraping of the YCombinator news page, saving time and reducing errors.
    • Structured Data Organization: Utilizes the ItemList node to format extracted data into a clear and accessible table.
    • Seamless File Generation and Delivery: Automatically generates a uniquely named Excel file and sends it through email, ensuring timely updates.

    👨‍💻 Who is This Workflow For?

    This workflow is ideal for developers, researchers, and content managers who regularly monitor YCombinator news for updates. It is also beneficial for teams that require automated reporting of new articles without manual intervention.

    🎯 Use Cases

    1. Market Research: Automatically gather the latest startup news and trends from YCombinator to inform business strategies.
    2. Content Curation: Streamline the collection of relevant articles for newsletters or blog posts.
    3. Academic Studies: Facilitate the aggregation of data for analysis in research projects focused on entrepreneurship and technology.

    TL;DR

    facilitating timely distribution of the latest news data.
    2. ”
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