🔍🛠️Perplexity Researcher to HTML Web Page

Automated workflow for Perplexity that seamlessly researches topics and converts findings into a modern HTML web page. It integrates with various tools to enhance user experience, ensuring quick responses and structured outputs. This solution simplifies content creation, making it efficient and visually appealing with Tailwind CSS styling, while also enabling communication via Telegram.

7/8/2025
47 nodes
Complex
webhookcomplexsticky notelangchainrespondtowebhooktelegramnoopexecuteworkflowtriggeradvancedintegrationapicommunicationbotlogicconditional
Categories:
Communication & MessagingComplex WorkflowWebhook TriggeredBusiness Process Automation
Integrations:
Sticky NoteLangChainRespondToWebhookTelegramNoOpExecuteWorkflowTrigger

Target Audience

This workflow is designed for:
- Content Creators: Individuals or teams who regularly produce articles or blog posts and need a streamlined process to convert research into formatted HTML content.
- Web Developers: Developers who want to automate the generation of HTML pages from markdown or plain text, ensuring responsiveness and modern design with Tailwind CSS.
- Marketers: Professionals looking to quickly generate web content from research topics to enhance their online presence and SEO strategies.
- Educators and Researchers: Those needing to present research findings in a structured, visually appealing format for presentations or publications.

Problem Solved

This workflow addresses the challenge of efficiently transforming research topics into well-structured HTML articles. It automates the entire process from gathering information to formatting it into a modern, responsive design, thus saving time and reducing the complexity of manual formatting. Users can quickly convert markdown or plain text into a visually appealing web page, complete with necessary metadata and tailored styling, enhancing the user experience and engagement.

Workflow Steps

  • Webhook Trigger: The workflow starts when a webhook is triggered, receiving a topic from a GET request.
    2. Extract Topic: The topic is extracted from the request and checked for validity.
    3. Research Generation: If the topic is valid, the workflow calls the Perplexity Researcher to generate research content related to the topic.
    4. Content Structuring: The generated content is parsed and structured into a JSON format, ensuring all necessary fields such as title, metadata, and content are included.
    5. HTML Conversion: The structured content is then transformed into a single-line HTML document, utilizing Tailwind CSS for styling, ensuring responsiveness and modern design.
    6. Response Handling: The resulting HTML and metadata are prepared for response, either sending the formatted content back via the webhook or notifying users through Telegram.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying Webhook Path: Change the webhook path to integrate it with different applications or services.
    - Adjusting Research Parameters: Alter the parameters used in the Perplexity API call to refine the type and depth of research generated.
    - Customizing HTML Output: Update the HTML structure and Tailwind CSS classes in the Basic LLM Chain node to match specific design requirements or branding guidelines.
    - Adding Additional Nodes: Integrate additional nodes for further processing, such as sending notifications to other platforms or storing results in a database.

    🔍🛠️Perplexity Researcher to HTML Web Page - N8N Workflow Directory