AI-Powered Website to Knowledge Base Builder for Lawn Care Services
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Automate the creation of a comprehensive knowledge base for lawn care companies by ingesting their website content. This workflow uses Firecrawl to scrape website data and an AI agent to synthesize it into a structured, deduplicated knowledge base.
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About This Workflow
Overview
This n8n workflow automates the process of transforming a lawn care service's website into a structured, AI-driven knowledge base. It solves the problem of scattered and redundant information on websites by consolidating it into a single, easily accessible source. The workflow leverages the formTrigger node to capture website URLs, httpRequest nodes for web scraping using Firecrawl, and an AI agent to synthesize the scraped data into a deduplicated and organized knowledge base.
Key Features
- Automatically scrapes all pages from a given website URL.
- Utilizes Firecrawl's batch scraping capabilities for efficiency.
- Employs an AI agent (via a
promptnode) to synthesize and deduplicate information. - Structures the output into a comprehensive knowledge base format with metadata and a table of contents.
- Preserves source page traceability for all synthesized information.
How To Use
- Configure the Form Trigger: Set up the
formTriggernode with a title and description, and add a 'Website' field to input the URL of the lawn care service's website. Optionally, add a 'Google Drive Folder Id' if you intend to store the output there. - Set up Firecrawl Credentials: Ensure you have valid API credentials for Firecrawl and configure the
httpRequestnodes to use them. - Map URLs: The
map_urlsnode will fetch all relevant URLs from the provided website. - Initiate Batch Scrape: The
start_batch_scrapenode sends the collected URLs to Firecrawl for scraping into Markdown format. - Poll for Status: The
fetch_scrape_statusnode repeatedly checks the status of the batch scrape job. - Check Status: The
check_statusnode determines if the scrape is completed. If not, it waits using therate_limit_waitnode before checking again. - Set Scrape Result: Once completed, the
set_scrape_resultnode formats the scraped Markdown content and website URL for the AI prompt. - Synthesize Knowledge Base: The
promptnode contains the AI's instructions to synthesize the scraped data into a structured knowledge base. Configure the AI model and parameters as needed. - Final Output: The output of the
promptnode is the generated knowledge base.
Apps Used
Workflow JSON
{
"id": "3510a678-aa51-4f74-a120-f50b706845ba",
"name": "AI-Powered Website to Knowledge Base Builder for Lawn Care Services",
"nodes": 0,
"category": "AI & Content Generation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 3510a678-aa51...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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