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Uptime Ping Alert — sai che un sito è giù prima dei tuoi utenti

No description available

IntermediateTelegram

by System Admin

Capture and clean inbound web form leads with an authenticated webhook

Quick overview This workflow receives inbound web form submissions via an n8n webhook, validates requests using a shared secret header, and cleans and standardizes lead fields (name, email, message, timestamps) so you can reliably pass a structured record into your CRM. How it works Receives a POST request from your web form via an n8n webhook endpoint. Validates the request by checking the x-perly-key header against the PERLY_WEBHOOK_SECRET variable and rejects unauthorized traffic. Normalizes the lead payload by trimming values, lowercasing the email, splitting the full name into first/last name, validating the email format, and adding a received timestamp. Hands off the cleaned lead record to a placeholder step where you connect your CRM or storage destination. Setup Set PERLY_WEBHOOK_SECRET as an environment variable (self-hosted) or as an n8n Variable (n8n Cloud). Copy the webhook URL from the Webhook trigger and configure your form to POST to it with the header x-perly-key: . Replace the placeholder “Connect your CRM here” step with your desired integration (for example HubSpot, Pipedrive, Airtable, or Google Sheets) and map the cleaned fields. Requirements n8n (Cloud or self-hosted). No external service, API key or AI credits needed. Customization All cleaning rules live in a single Code node, so you can add fields, change the normalisation or plug in your own validation without touching the rest of the flow.

BeginnerManual Trigger

Generate Seedance 2 AI videos from form input and email links with Gmail

Quick overview This workflow collects video parameters via an n8n form, creates a Seedance 2 video generation job through the Kie.ai API, polls until the job succeeds, and emails the resulting video link using Gmail. How it works Receives a video generation request from an n8n form with a prompt, reference image URL, duration, resolution, and aspect ratio. Sends these inputs to the Kie.ai API to create a Seedance 2 video generation task and retrieves a task ID. Waits briefly, then calls the Kie.ai API to fetch the task status using the task ID. Repeats the wait-and-status-check loop until the API reports the task state as "success". Sends an email via Gmail containing the generated video result link/details returned by the API. Setup Create a Kie.ai API token and add it to the Authorization header in both Kie.ai HTTP requests (createTask and recordInfo). Connect a Gmail OAuth2 credential in n8n for sending the email. Set the email recipient address in the Gmail step (or map it from the form fields if you want it to be user-provided). Ensure the reference image URL you submit in the form is publicly accessible so Kie.ai can fetch it. Requirements A Kie.ai account with an active API token and sufficient credits. An n8n instance with access to the Form Trigger, HTTP Request, Wait, IF, and Gmail nodes. A connected Gmail OAuth2 credential. A publicly accessible reference image URL. Customization Add an email field to the form so users can choose where the generated video link is sent. Change the waiting interval depending on average Seedance generation time. Add failure handling for insufficient credits, invalid API responses, or failed generation jobs. Save generated video links to Google Sheets, Google Drive, Airtable, Slack, or another destination. Adjust available duration, resolution, and aspect-ratio options in the form. Additional info Seedance video generation is asynchronous, so completion time may vary. The workflow continues checking the task until the API returns a successful state. Kie.ai usage may consume paid credits, and users should connect their own API token before running the workflow. Do not include a personal or production API token in the public template.

Set dynamic restaurant menu pricing with Claude and QR menu APIs

Quick overview This workflow runs every 15 minutes to calculate dynamic restaurant dish prices from POS order velocity, local weather, and nearby events/foot-traffic data, then uses Anthropic Claude to review changes for brand-damage risk before pushing approved prices to a QR-code digital menu via API. How it works Runs on a schedule every 15 minutes to start a pricing cycle. Fetches POS order-velocity data, current local weather, and nearby events/foot-traffic data via HTTP APIs. Combines the API responses and derives per-dish demand features such as velocity ratio plus weather and event multipliers. Applies an elasticity-based pricing model to propose per-dish price changes within defined surge and discount caps. Waits briefly, then sends the proposed changes to Anthropic Claude to approve, cap, or reject each change with a short risk rationale. Parses Claude’s JSON decisions with a safety fallback that keeps current prices if the AI output can’t be parsed. Posts the final approved dish prices to the QR/digital menu platform’s price-update API. Setup Add an Anthropic API credential and select the Claude model used by the brand-safety review step. Configure your POS API endpoint and replace the placeholder POS bearer token (YOUR_POS_API_KEY). Configure your weather API endpoint and replace the placeholder weather bearer token (YOUR_WEATHER_API_KEY). Configure your events/foot-traffic API endpoint and replace the placeholder events bearer token (YOUR_EVENTS_API_KEY). Configure your QR/digital menu platform endpoint and replace the placeholder menu platform API key (YOUR_MENU_PLATFORM_API_KEY).

BeginnerManual Trigger

Create real estate listing packages from room photos with Anthropic Claude

Quick overview This workflow collects an empty-room photo and property details via an n8n form, calls a virtual staging API and a real-estate comps API, uses Anthropic Claude to generate listing copy and a price, and emails a ready-to-publish listing package to an agent. How it works Receives a form submission with an empty-room photo plus address, property type, beds, baths, and square footage. Sends the photo to a virtual staging/3D-rendering API and, in parallel, queries a comps/market-data API for comparable listings near the submitted address. Combines both API responses and calculates comp-based averages (price and price-per-square-foot) plus a suggested price range. Waits briefly and then prompts Anthropic Claude to return JSON containing a listing title, description, key selling points, and a single suggested list price. Parses the AI JSON output and falls back to a simple rule-based listing format if parsing fails. Assembles a final text package including staged image and 3D walkthrough links, comps pricing summary, and listing copy, and sends it via SMTP email. Setup Provide an Anthropic API credential for the Claude model used by the listing-generation step. Replace YOUR_STAGING_API_KEY and ensure your virtual staging API endpoint returns a staged image URL and 3D walkthrough URL compatible with the workflow. Replace YOUR_COMPS_API_KEY and ensure your comps/market-data API endpoint returns comparable records with price and square-footage fields. Configure SMTP credentials and update the From/To email addresses for the delivery email. Activate the workflow and use the generated n8n form URL to submit room photos and property details.

BeginnerManual Trigger

Score cold-chain batch recall risk from IoT excursions with Anthropic and email alerts

Quick overview This workflow receives cold-chain temperature excursion events via webhook, enriches them with shipment route history from a logistics API, uses Anthropic Claude to predict batch compromise risk, then formats and emails a predictive recall alert to quality and operations teams. How it works Receives a POST webhook event containing a batch ID, shipment ID, and timestamped temperature/geo sensor readings from cold-chain IoT devices. Fetches the shipment’s route and handling history from a logistics provider API using the shipment ID. Calculates risk features such as safe temperature range, excursion count, maximum deviation, minutes outside range, and a route risk score. Sends the engineered features to Anthropic Claude (claude-sonnet-4) to return a compromise probability, risk level, recommended action, and brief reasoning as JSON. Parses the model output and builds a formatted predictive recall report, falling back to a rule-based risk assessment if JSON parsing fails. Emails the report to the configured quality/ops recipients with the batch ID and risk level in the subject line. Setup Configure the Webhook trigger URL in your IoT sensor gateway/app to POST excursion payloads to /cold-chain-excursion. Add your logistics API authentication and replace YOUR_LOGISTICS_API_KEY, and confirm the route-history endpoint matches your provider’s API. Add an Anthropic API credential for the Claude model used by the workflow. Add SMTP credentials and set the from/to email addresses for the alert email.

BeginnerManual Trigger

Generate AI images from form inputs with Claude Sonnet and Google Gemini

Quick overview This workflow collects an image request via an n8n form, uses Anthropic Claude to expand it into a detailed style-aware prompt, generates an image with Google Gemini, then emails the image via Gmail and logs the request details to an n8n Data Table. How it works Receives an image request from an n8n Form Trigger that captures the requester’s email, image description, and preferred style. Normalizes the submitted fields into consistent values for email, description, and style. Uses Anthropic Claude (Sonnet 4.6) to turn the description and style into a single vivid image-generation prompt. Sends the enhanced prompt to Google Gemini to generate an image and outputs it as binary data. Emails the generated image as an attachment to the requester via Gmail, including the style and prompt used. Logs the description, style, prompt, and timestamp to an n8n Data Table for tracking and reuse. Setup Add an Anthropic credential (for Claude Sonnet 4.6) to the workflow’s prompt-enhancement step. Add a Google Gemini (PaLM) API credential and ensure the selected image model is available in your account. Add a Gmail OAuth2 credential and confirm the sender mailbox has permission to send emails. Create or select an n8n Data Table named image_gen_log (or update the workflow to your table name). Activate the workflow and share the form URL so users can submit image requests. Requirements n8n instance with the Data Table feature enabled Anthropic API key (Claude — prompt engineering) Google Gemini (PaLM) API key — image generation Gmail account connected via OAuth2 Customization Add or edit Style presets in the form dropdown to match your brand aesthetic Bake brand colours, logo cues, or aspect ratio into the prompt-enhancer system message for on-brand output every time Deliver to Google Drive, S3, or a CMS to auto-publish instead of emailing Switch Gemini to image edit (upload + modify) or video generate for motion assets / B-roll Generate multiple variations per request by looping the generation step Additional info Built on the new Google Gemini image node — one of the newest n8n integrations, so competing templates are almost non-existent (clear first-mover advantage). Claude turns a one-line description into a detailed, style-aware prompt (subject, lighting, composition, palette) for far better output than a raw description. Fits marketers, content creators, agencies, e-commerce (product/ad visuals), and social teams.

Send Stripe payment thank-you receipts with Claude Sonnet and Gmail

Quick overview This workflow triggers on successful Stripe charges, normalizes payment details, uses Anthropic Claude to generate a personalized thank-you and receipt message, logs the payment to an n8n Data Table, and emails the customer via Gmail. How it works Triggers when Stripe reports a successful charge (charge.succeeded). Extracts and normalizes the customer name, email, amount, currency, and payment description from the Stripe event. Uses Anthropic Claude (via LangChain) to generate a warm email subject, an HTML thank-you/receipt message, and a one-line internal finance summary. Combines the AI output with the normalized payment fields and adds a timestamp for logging. Writes the payment details and summary into an n8n Data Table for finance records. Sends the generated thank-you and receipt email to the customer using Gmail. Setup Add Stripe credentials and enable the Stripe trigger so Stripe can register the charge.succeeded webhook. Add an Anthropic credential (Claude Sonnet 4.6) for the AI-generated subject, message, and internal summary. Add a Gmail OAuth2 connection and ensure the workflow is allowed to send emails from the connected mailbox. Create or select the n8n Data Table named payment_log (or update the table selection) to store the payment records. Confirm your Stripe charge data includes a customer email (billing_details.email or receipt_email) so Gmail has a valid recipient address. Requirements n8n instance with the Data Table feature enabled Stripe account + API key (the trigger registers the webhook automatically) Anthropic API key (Claude) Gmail account connected via OAuth2 Customization Listen to other Stripe events — charge.refunded, charge.dispute.created, customer.subscription.deleted, invoice.payment_failed — and branch a different flow for each Add an IF for high-value payments to trigger a VIP/owner alert Attach a PDF invoice (via a PDF node) to the thank-you email Send the payment record to QuickBooks, a Google Sheet, or Slack instead of (or alongside) the data table Localize the email by currency/country for international customers Additional info App-event trigger: Stripe fires the workflow the instant a payment succeeds — no polling, no manual webhook setup. Claude confirms the exact amount, currency, and item and never invents order numbers, discounts, or promises. Universal for any business taking Stripe payments: SaaS, e-commerce, coaching, agencies, communities.

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