Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram
This workflow is designed to automate the generation of research reports based on user-defined topics, integrating various information sources such as OpenAI, Wikipedia, news APIs, Google Search, and Google Scholar. Through intelligent analysis and integration, it produces structured PDF reports that include an introduction to the topic, key findings, and academic insights, which are automatically sent to designated users via Gmail and Telegram. Additionally, all data is recorded in Google Sheets for easy management and tracking, significantly enhancing research efficiency and the accuracy of information integration.

Workflow Name
Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram
Key Features and Highlights
This workflow automates the generation of research reports based on user-input topics by integrating multiple information sources, including OpenAI GPT models, Wikipedia, News API, Google Search, and Google Scholar. It produces a structured PDF report that is automatically delivered to designated users via email (Gmail) and instant messaging (Telegram). The report comprehensively covers topic introduction, summary, key findings, news highlights, academic insights, and Wikipedia background, ensuring authoritative and well-rounded content.
Highlights include:
- Automated query optimization generating five diverse and relevant search keywords to broaden research scope;
- Multi-channel data acquisition (news, Wikipedia, web pages, academic papers) to ensure rich and credible information;
- Intelligent aggregation and content generation using OpenAI GPT models, guaranteeing logical clarity and depth;
- Professional-style PDF report creation featuring cover page, table of contents, and formatted layout;
- Seamless automatic distribution via Gmail and Telegram for convenient and rapid sharing;
- Data logging into Google Sheets for easy management and tracking.
Core Problems Addressed
Traditional research report writing is time-consuming and labor-intensive, with dispersed information sources that are difficult to consolidate. This workflow automates information gathering, content generation, formatting, and distribution, significantly improving research efficiency, reducing manual intervention, and ensuring accurate, comprehensive reports that enable users to quickly obtain high-quality research outputs.
Application Scenarios
- Academic researchers rapidly summarizing the latest developments and literature on a specific scholarly topic;
- Corporate market research and competitive analysis with real-time access to industry news and trends;
- Consulting professionals assisting in client report preparation;
- Media personnel or content creators conducting in-depth topic exploration and material preparation;
- Educational institutions producing specialized teaching materials or course content;
- Any scenario requiring fast generation of authoritative research reports.
Main Workflow Steps
- Input Validation: Receive and validate the user’s research topic to ensure input effectiveness;
- Query Optimization: Use OpenAI model to generate five relevant and multi-dimensional search keywords to expand research perspectives;
- Multi-Channel Data Acquisition:
- Fetch latest news via News API;
- Retrieve foundational information from Wikipedia;
- Obtain web data through Google Custom Search;
- Search academic papers via SerpApi’s Google Scholar integration;
- AI Research Assistant: Perform comprehensive analysis based on collected data to generate structured report content, including introduction, summary, key findings, news highlights, academic insights, and Wikipedia synopsis;
- Data Aggregation and Organization: Merge multiple data entries into a complete JSON structure representing the full report content;
- PDF Report Generation: Render structured content into HTML and convert it into a professional PDF file using PDFShift API;
- Report Distribution: Automatically send the PDF report to specified recipients via Gmail and Telegram;
- Research Metadata Storage: Store topic, search keywords, sources, and timestamps in Google Sheets for record-keeping and retrieval.
Involved Systems and Services
- OpenAI GPT-4o-mini: Natural language processing and content generation;
- Wikipedia API: Foundational knowledge retrieval;
- NewsAPI: Latest news fetching;
- Google Custom Search API: Web information search;
- SerpApi (Google Scholar Search): Academic literature retrieval;
- PDFShift API: HTML to PDF conversion service;
- Gmail: Email delivery;
- Telegram: Instant messaging delivery;
- Google Sheets: Research metadata storage and management;
- Google Drive: File storage and management.
Target Users and Value Proposition
- Researchers and scholars: Quickly obtain multi-dimensional, authoritative research materials and analytical reports;
- Market analysts and consultants: Efficiently generate industry updates and competitive intelligence reports;
- Content creators and media professionals: Rapidly build comprehensive background and latest news summaries;
- Educators: Support in producing course materials and lecture notes;
- Business decision-makers: Timely access to the latest trends in relevant fields to support informed decision-making.
By integrating diverse intelligent tools and data sources, this workflow automates and streamlines research report generation, greatly enhancing information consolidation efficiency and content quality, delivering substantial practical value.