Automated Multi-Source News Aggregation and Analysis Workflow

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This n8n workflow is a comprehensive system designed for dynamic news curation, analysis, and summarization from multiple sources. It integrates various news feeds, custom RSS sources, and web scraping, combining AI-powered content analysis, language translation, and content filtering to deliver tailored news summaries. The workflow automates fetching, processing, and analyzing news articles, videos, and web content, culminating in concise summaries, formatted outputs, and notifications via email, Telegram, or WhatsApp. Ideal for news agencies, content aggregators, and media teams, this automation streamlines the entire news collection and reporting process. Key nodes include schedule triggers, web scraping, AI language models, and various filters and aggregators, all interconnected for seamless operation.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatMistralCloud, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, emailReadImap, emailSend, executeWorkflow, filter, function, httpRequest, if, limit, manualTrigger, markdown, merge, n8n-nodes-globals.globalConstants, n8n-nodes-serpapi.serpApi, noOp, readWriteFile, removeDuplicates, respondToWebhook, rssFeedRead, scheduleTrigger, set, sort, splitInBatches, splitOut, stickyNote, stopAndError, switch, telegram, webhook, whatsApp, xml

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