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AI News Digest Pipeline: Scrape with ScrapegraphAI, Categorize with GPT & Gemini, Save to Sheets

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Created by: Davide || n3witalia

Davide

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This workflow is designed to automatically process AI news emails, extract and summarize articles, categorize them, and store the results in a structured Google Sheet for daily tracking and insights.

This automated workflow processes a daily AI newsletter from AlphaSignal, extracting individual articles, summarizing them, categorizing them, and saving the results to a Google Sheet.

Key Features

1. ✅ Fully Automated Daily News Pipeline

No manual work is required — the workflow runs autonomously every time a new email arrives. This eliminates repetitive human tasks such as opening, reading, and summarizing newsletters.

2. ✅ Cross-AI Model Integration

It combines multiple AI systems:

  • Google Gemini and OpenAI GPT-5 Mini for natural language processing and categorization.
  • Scrapegraph AI for external web scraping and summarization.

This multi-model approach enhances accuracy and flexibility.

3. ✅ Accurate Content Structuring

The workflow transforms unstructured email text into clean, structured JSON data, ensuring reliability and easy export or reuse.

4. ✅ Multi-Language Support

The summaries are generated in Italian, which is ideal for local or internal reporting, while the metadata and logic remain in English — enabling global adaptability.

5. ✅ Scalable and Extensible

New newsletters, categories, or destinations (like Notion, Slack, or a database) can be added easily without changing the core logic.

6. ✅ Centralized Knowledge Repository

By appending to Google Sheets, the team can:

  • Track daily AI developments at a glance.
  • Filter or visualize trends across categories.
  • Use the dataset for further analysis or content creation.

7. ✅ Error-Resilient and Maintainable

The JSON validation and loop-based design ensure that if a single article fails, the rest continue to process smoothly.

How it Works

  1. Email Trigger & Processing: The workflow is automatically triggered when a new email arrives from [email protected]. It retrieves the full email content and converts its HTML body into clean Markdown format for easier parsing.

  2. Article Extraction & Scraping: A LangChain Agent, powered by Google Gemini, analyzes the newsletter's Markdown text. Its task is to identify and split the content into individual articles. For each article it finds, it outputs a JSON object containing the title, URL, and an initial summary. Crucially, the agent uses the "Scrape" tool to visit each article's URL and generate a more accurate summary in Italian based on the full page content.

  3. Data Preparation & Categorization: The JSON output from the previous step is validated and split into individual data items (one per article). Each article is then processed in a loop:

    • Categorization: An OpenAI model analyzes the article's title and summary, assigning it to the most relevant pre-defined category (e.g., "LLM & Foundation Models," "AI Automation & WF").
    • URL Shortening: The article's link is sent to the CleanURI API to generate a shortened URL.

  4. Data Storage: Finally, for each article, a new row is appended to a specified Google Sheet. The row includes the current date, the article's title, the shortened link, the Italian summary, and its assigned category.

Set up Steps

To implement this workflow, you need to configure the following credentials and nodes in n8n:

  1. Email Credentials: Set up a Gmail OAuth2 credential (named "Gmail account" in the workflow) to allow n8n to access and read emails from the specified inbox.

  2. AI Model APIs:

    • Google Gemini: Configure the "Google Gemini(PaLM)" credential with a valid API key to power the initial article extraction and scraping agent.
    • OpenAI: Configure the "OpenAi account (Eure)" credential with a valid API key to power the article categorization step.

  3. Scraping Tool: Set up the ScrapegraphAI account credential with its required API key to enable the agent to access and scrape content from the article URLs.

  4. Google Sheets Destination: Configure the "Google Sheets account" credential via OAuth2. You must also specify the exact Google Sheet ID and sheet name (tab) where the processed article data will be stored.

  5. Activation: Once all credentials are tested and correctly configured, the workflow can be activated. It will then run automatically upon receiving a new newsletter from the specified sender.

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