This comprehensive n8n workflow automates the process of scraping, cleaning, and analyzing website content for SEO and data insights. It starts with a webhook triggered by user input for a website name. The workflow fetches HTML data from the provided URL, extracts the main text content by removing styles and HTML tags, and then processes this cleaned data for topic-based information using OpenAI’s GPT-4 model. Additionally, it generates a list of important keywords for SEO. The results are then stored in Airtable for easy management and further analysis. This workflow is perfect for SEO agencies, content marketers, or developers who want to automate website content analysis and keyword research.
Automated Website Data Extraction and Summarization
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, airtable, code, formTrigger, httpRequest, merge, splitOut, stickyNote, wait |
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