This n8n workflow automates the process of gathering, analyzing, and summarizing the latest artificial intelligence news from TechCrunch. Starting with a scheduled trigger every morning at 6 AM, it scrapes the latest articles, extracts publication dates and URLs, fetches full article content, and generates concise summaries and quality scores using an AI language model. The summarized news data is then stored in Google Sheets for record-keeping and can be instantly shared via Telegram notifications. Practical for journalism, research, or news aggregation, this workflow ensures you stay updated with minimal effort.
Automated News Scraper and Summarizer for TechCrunch
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleSheets, html, httpRequest, scheduleTrigger, set, splitInBatches, splitOut, stickyNote, switch, telegram, wait |
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