Quick overview This workflow runs every Monday to scrape Google News with Bright Data, fetch and clean the full text of the top five unique stories, generate an HTML newsletter with Anthropic Claude, and send it via Gmail. How it works Runs every Monday on a scheduled trigger. Uses Bright Data to scrape a Google News search results page for the configured topic. Filters out YouTube results, deduplicates by title, and keeps the top five stories. Loops through the five stories and uses Bright Data to scrape each article’s full content as Markdown. Cleans and truncates each article’s text to remove navigation, ads, images, and link clutter. Aggregates the five cleaned articles and sends them to Anthropic Claude to generate a single clean HTML newsletter. Sends the generated HTML newsletter to the configured recipient using Gmail. Setup Add a Bright Data credential and ensure your Web Unlocker zone (for example, n8n_unlocker) is available in your Bright Data account. Add an Anthropic API credential and select the Claude model you want to use. Add a Gmail OAuth2 credential and set the recipient email address, subject, and any desired email options.
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See all AI Automation→AI: Summarize podcast episode and enhance using Wikipedia
The workflow automates the process of creating a summarized and enriched podcast digest, which is then sent via email. Note that to use this template, you need to be on n8n version 1.19.4 or later.
Route WhatsApp support requests with Claude, Supabase, HubSpot and Slack
Quick overview This workflow turns incoming WhatsApp messages (text, audio, images, and documents) into actionable support interactions by extracting content, detecting sentiment, and using an AI agent with a Supabase knowledge base to route requests to Google Calendar, HubSpot, Slack, Gmail, and back to WhatsApp. How it works Receives incoming WhatsApp messages via a WhatsApp webhook trigger. Routes the message by type and converts it into text using OpenAI Whisper for audio, OpenAI GPT-4o Vision for images, or a PDF extractor for documents (or passes text messages through). Loads the sender’s session context from Supabase and runs sentiment/language detection on the extracted text. Uses a LangChain AI agent (Claude) with Supabase vector search (with OpenAI embeddings and Cohere reranking) plus tool access (Google Calendar, HubSpot, Slack, and Gmail) to produce a structured intent, response, and metadata. Logs conversation analytics (intent, sentiment, message type, and response length) to an n8n Data Table. Routes by intent to either create a Google Calendar event, create/update a HubSpot contact, email a document via Gmail (and upload it to Google Drive), create a HubSpot ticket
Guard Hostinger VPS CPU spikes with Anthropic, SSH, and email approvals
Quick overview This workflow monitors a Hostinger VPS every 15 minutes for CPU spikes, correlates them with traffic anomalies, and either auto-activates a lockdown firewall or emails a process report with AI analysis and an email-reply approval path to snapshot and kill high-CPU processes. How it works Runs every 15 minutes and loads the VPS ID, SSH host, alert email, and CPU/traffic thresholds. Fetches the last two hours of CPU and network traffic metrics from the Hostinger API and determines whether the latest CPU usage exceeds the configured threshold and whether traffic is anomalous. When a CPU spike is detected, connects over SSH to run ps aux --sort=-%cpu, formats the top processes, and flags PIDs exceeding the kill CPU threshold. Sends the raw process list to Anthropic (Claude) to generate a short diagnosis and recommendation. If the spike appears traffic-driven, lists/creates a Hostinger “lockdown” firewall that only allows the configured ports, activates it on the VPS, and emails a lockdown alert. If the spike is not traffic-driven, writes a pending-approval case entry to /var/log/n8n-cpu-guard.log over SSH and emails a report with the case ID, process table, AI analysis,