Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram

Automated research report generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram streamlines the process of creating comprehensive research documents. This workflow efficiently refines queries, aggregates data from multiple sources, and generates professional PDF reports. Users receive timely insights, including key findings and scholarly insights, directly via email or Telegram, enhancing research capabilities and decision-making efficiency.

7/8/2025
26 nodes
Complex
manualcomplexlangchainsplitoutgooglesheetssticky noteaggregategmailtelegramexecuteworkflowtriggergoogle driveadvancedapiintegrationcommunicationbotlogicconditional
Categories:
Data Processing & AnalysisCommunication & MessagingBusiness Process AutomationManual TriggeredComplex Workflow
Integrations:
LangChainSplitOutGoogleSheetsSticky NoteAggregateGmailTelegramExecuteWorkflowTriggerGoogle Drive

Target Audience

Researchers and Academics: This workflow is ideal for researchers looking to generate comprehensive reports on specific topics. It assists in gathering data from multiple sources, including news articles, academic papers, and Wikipedia, all in one streamlined process. Students: Students can utilize this workflow to compile research papers or projects efficiently. Professionals: Industry professionals needing quick access to current trends and insights in their fields will find this tool invaluable. Content Creators: Writers and content creators can use this workflow to gather data and insights for articles or reports, saving time and enhancing content quality.

Problem Solved

The workflow addresses the challenge of gathering and synthesizing information from diverse sources for research purposes. It automates the process of refining queries, searching various platforms, and compiling findings into a structured report. This eliminates the tedious manual effort typically involved in research, allowing users to focus on analysis and application rather than data collection. The workflow also ensures that users receive the most up-to-date information, facilitating better decision-making and knowledge acquisition.

Workflow Steps

  • Input Validation: Users submit a research query, which is validated to ensure it meets the minimum character requirement (at least 3 characters). 2. Query Refinement: The refined query is generated to enhance searchability and relevance. 3. Research AI Agent: This agent performs comprehensive research by utilizing the refined query to conduct searches across various platforms, including Google, Wikipedia, and news outlets. 4. Data Aggregation: The gathered data is aggregated, including key findings, news highlights, and scholarly insights. 5. PDF Generation: An HTML template is created for the research report, which is then converted into a PDF format. 6. Distribution: The generated PDF report is sent via email and Telegram to the specified recipients. 7. Metadata Storage: Research metadata, including topic, sources, and timestamp, is stored in Google Sheets for future reference.

    • Customization Guide

    Users can customize this workflow by adjusting the following elements: 1. API Keys: Replace placeholder API keys with valid keys for services like Google Search, NewsAPI, and PDFShift. 2. Search Queries: Modify the search queries to focus on specific areas of interest or to include additional keywords relevant to the research topic. 3. Email and Telegram Settings: Change the recipient email address and Telegram chat ID to suit the user's needs. 4. Google Sheets Configuration: Adapt the Google Sheets document ID and sheet name to organize research metadata according to personal or organizational preferences. 5. HTML Template: Users can edit the HTML template for the PDF report to match their branding or formatting preferences.