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AdvancedWebhook

by System Admin

Summarize daily Shopify product profit with Meta, Google Ads, GPT-4o-mini & Slack

Quick overview This workflow runs daily and calculates yesterday’s profit per product by combining Shopify orders with Meta and Google Ads spend, Shiprocket shipping charges, and configured fees and RTO provisions, then uses OpenAI to write a summary and posts the report and trend chart to Slack while saving P&L history Sheets. How it works Runs every day at 8 AM IST and sets the reporting window to yesterday. Pulls yesterday’s Shopify orders via the Shopify GraphQL Admin API and loads landed product costs from a Google Sheets “Product Costs” tab. Retrieves ad spend from Meta (Facebook Graph API) and Google Ads (campaign cost plus Shopping cost by product), continuing the run even if one ad platform request fails. Authenticates with Shiprocket and fetches yesterday’s order shipping charges, falling back to a default per-order shipping rate when charges are unavailable. Calculates contribution profit per product by allocating revenue, COGS, shipping, payment/COD fees, packaging, RTO provision, and ad spend, then compares key totals against the last 7 days from the “Daily P&L” sheet. Uses OpenAI (gpt-4o-mini) to generate a JSON profit brief and posts a formatted profit report plus a 14-day trend chart image to a Slack channel. Appends per-product rows to a “Product P&L” sheet, upserts the day’s totals into “Daily P&L”, and sends a WhatsApp alert if the day is loss-making or has multiple red flags. Setup Add credentials for Shopify (HTTP Header Auth with an Admin API access token), Meta/Facebook Graph API, Google Ads OAuth2, Shiprocket (HTTP Custom Auth login), OpenAI, Slack, Google Sheets, and WhatsApp Business Cloud. Update the “Set Profit Config” values for your Shopify shop domain, Meta ad account ID, Google Ads customer/login customer IDs, Google Ads developer token, and your fee, packaging, shipping, and RTO assumptions. Create or update the Google Sheets document (and set its ID in the Google Sheets nodes) with tabs named “Product Costs”, “Product P&L”, and “Daily P&L”, ensuring “Product Costs” includes a SKU column and cost fields used by the workflow (for example cogs/packaging). Set the Slack channel ID in both Slack nodes and set the WhatsApp phone number ID and recipient phone number in the WhatsApp node. If you regularly exceed 250 Shopify orders per day, extend the Shopify GraphQL request with pagination to avoid partial order reporting.

Screen podcast guest pitches in Gmail and draft replies with GPT-4.1-mini

Quick Overview This workflow monitors Gmail for new emails, screens potential podcast guest pitches with rule-based spam checks and OpenAI classification, then applies Gmail labels and optionally drafts personalized replies, plus a daily digest email summary. How it works Polls Gmail every minute for new emails and pulls message content. Normalizes each email (sender, subject, body, links) and fetches message metadata from the Gmail API to list attachment names. Scores spam and scam signals using rule-based checks on sender details, links, and attachment names. Uses OpenAI to classify whether the email is a guest pitch and to rate topic match, fit score, and risk based on your show settings. Combines the rule score and OpenAI output into a verdict (Strong Fit, Maybe, Not a Fit, Spam/Pay-to-Play, or Not a Pitch) and creates any missing Gmail labels before applying the correct label to the message. For Strong Fit and Maybe pitches, uses OpenAI to write a reply draft, skips threads that already contain a draft, and saves the new draft in Gmail with placeholders highlighted and an optional “Needs Details” label when required. On a daily schedule, compiles the saved screening results into a text digest and emails it to the configured owner address. Setup Connect a Gmail OAuth2 credential for all Gmail nodes, including the HTTP request to the Gmail API and the steps that create labels, apply labels, create drafts, and send the digest. Add an OpenAI credential for the two OpenAI steps (classification and reply drafting) and confirm the model ID in Settings (default: gpt-4.1-mini). Fill in the show profile in Settings (show name/about, topics, optional audience/must-haves/dealbreakers, reply style, booking link, and scoring thresholds) and optionally add trusted_senders/known_bad_senders. Decide which drafts to create by toggling draft_strong_fit and draft_maybe, and set the Gmail label prefix if you want something other than AI/. If you want the daily digest, set Digest Settings owner_email (and optionally send_when_empty) and confirm the schedule time matches your instance timezone.

Beginner

Run B2B cold outreach with Tavily, OpenAI, Google Sheets, and Brevo

Quick overview This workflow finds B2B decision-maker emails using Tavily and web scraping, drafts outreach and follow-up messages with OpenAI based on your offer page, queues and sends emails via Brevo with Google Sheets controls, and processes Gmail replies plus Brevo bounce/unsubscribe webhooks. How it works Runs on a schedule or on-demand via an n8n form to either find leads, send queued emails, or create follow-ups. Searches for target-market company sites with Tavily, scrapes relevant pages (with a Tavily domain-search and Jina Reader fallback), and extracts decision-maker emails that match your role criteria. Deduplicates against existing Google Sheets entries, verifies each email is on the company domain, checks the domain’s MX records via Google DNS-over-HTTPS, and keeps the best candidates per company until the lead target or time/round limits are reached. Fetches and cleans your offer page text, then uses OpenAI to generate a small set of reusable outreach variants and builds an HTML email for each lead. Appends new outreach emails to a Google Sheets “Send Queue” (and logs leads in “Leads”) where messages must be approved before sending unless auto-approval is enabled. On the sender schedule, reads caps/pause settings and the suppression list from Google Sheets, then sends approved queued emails one at a time through the Brevo API and updates both queue and lead status with next follow-up dates. On the follow-up schedule, finds due leads with no reply/bounce/unsubscribe, generates OpenAI follow-up variants, and appends follow-up emails to the Send Queue. Monitors Gmail for replies and classifies them with OpenAI to update lead status, notify you on interested replies, add interested contacts to Brevo, and suppress “unsubscribe” or “not interested” addresses, while also accepting Brevo webhook events to log bounces/unsubscribes and auto-pause sending after repeated bounces. Setup Create a Google Sheets spreadsheet with tabs named exactly Leads, Send Queue, Suppression, and Settings using the required header rows, then paste the spreadsheet ID into the workflow settings. Add credentials for Google Sheets OAuth2, Gmail OAuth2 (reply monitoring and owner notifications), Brevo (Sendinblue) API, OpenAI API, and an HTTP Header Auth credential for Tavily (Bearer token). In the workflow’s settings values, fill in your sender identity, reply-to inbox, notify email, offer page URL (and fallback text), postal address, target search keywords/countries, and the industry/role regex filters. In Brevo, verify your sender domain (SPF/DKIM) and configure a webhook pointing to the workflow’s Brevo webhook URL with a matching token for bounce, spam/complaint, blocked/invalid, and unsubscribe events. Test by running the control-panel form, review generated rows in Send Queue, manually set approved=yes for test rows (or enable auto_approve), and confirm sending and reply handling before activating the schedules.

Check, register and remind on supplier e-invoices with Gmail, invoapi, Google Drive, Sheets and Anthropic

Quick overview This workflow monitors a Gmail inbox for incoming XML or PDF invoice attachments, validates each file with invoapi against e-invoice rules, saves valid invoices to Google Drive, replies to suppliers with validation errors, and forwards non-e-invoices or failed checks to accounting for manual review. How it works Triggers every minute when a new Gmail email arrives that has an XML or PDF attachment. Extracts only XML and PDF attachments and creates one workflow item per attachment while carrying over the email metadata needed for follow-up. Sends each attachment to invoapi to validate it as an EN 16931/XRechnung-compatible e-invoice and returns a validation report. Uploads invoices marked as valid to the configured Google Drive accounting folder. For invoices marked as invalid, composes a readable error list from the invoapi report and replies to the supplier in the original Gmail thread. For attachments that are not detected as e-invoices or where validation fails, forwards a review request email to the configured accounting address. Setup Install and configure the invoapi community node (n8n-nodes-invoapi) and add an invoapi API credential. Add Gmail credentials for the inbox to monitor and to send replies/forwards. Add Google Drive credentials and set the target Drive folder ID in the workflow configuration. Update the review/forwarding email address in the workflow configuration and adjust the Gmail search query if you want to limit which emails are processed.

IntermediateManual Trigger

Route and escalate IoT alarms via webhook with ACK tiers and Claude triage

Quick overview This workflow receives industrial/IoT alarms via webhook, suppresses duplicate chatter, optionally summarizes the alarm with Anthropic Claude, and routes notifications by severity with tiered ACK-based escalation and timeouts using HTTP endpoints. How it works Receives an alarm payload through an n8n Webhook endpoint. Normalizes the incoming fields and applies flood suppression to drop repeat alarms within a 5-minute window. If the alarm is suppressed, it records an audit event and stops. If not suppressed, it requests an advisory one-sentence summary, likely cause, and priority from Anthropic Claude and attaches the result to the alarm. Routes the alarm by severity: critical starts a tiered on-call escalation, warning sends a single notification, and info only creates a log entry. For critical alarms, it notifies Tier 1 with an ACK URL, waits up to 5 minutes for an acknowledgment, and escalates to Tier 2 and then Tier 3 if no ACK is received. Logs the final outcome (warning notified, acknowledged at Tier 1/2, or escalated to manager) for audit purposes. Setup Copy the webhook URL from the Webhook trigger and configure your SCADA/IoT system to POST alarms to it. Create an Anthropic (Claude) HTTP Header Auth credential (send x-api-key plus the required anthropic-version header) and attach it to the Claude request node if you want AI triage. Replace the placeholder notification URLs with your SMS/Slack/Teams/email endpoint(s) and ensure they accept the JSON payload (including ackUrl for critical alarms). Ensure your acknowledgment mechanism calls the provided ackUrl (for example by opening it or POSTing { "ack": true }) within the timeout windows. Connect the audit log steps to your preferred storage (for example Google Sheets or a database) if you want persistent reporting.

BeginnerManual Trigger

File parcel loss and damage claims with Shopify, Shiprocket, GPT-4o-mini, and Slack

Quick overview This workflow monitors Shopify shipments using Shiprocket or AfterShip tracking, drafts and files lost/damaged parcel claims with carrier APIs or Gmail, records everything in Google Sheets, coordinates approvals and updates in Slack, and uses OpenAI to draft claims, classify carrier replies, and answer claim questions. How it works Runs every 6 hours, accepts a submitted “Report a lost or damaged parcel” form, or receives an approval-link webhook click from Slack. For scheduled detection, reads existing claims from Google Sheets, fetches recent Shopify orders, filters to open fulfillments without an existing claim, and pulls the latest tracking scans from Shiprocket or AfterShip. Flags shipments as lost/damaged/suspected-lost based on tracking text, scan staleness, and claim-window rules, then builds a claim case and searches Google Drive for matching proof photos. Calculates the claim amount using the configured liability cap and approval thresholds, then uses OpenAI (gpt-4o-mini) to draft the carrier-claim email content and a short customer message. If dry-run mode is enabled it posts a preview to Slack, otherwise it saves/updates the claim draft in the Google Sheets “Claims” tab and either posts an approval request to Slack or proceeds directly. For approved claims, it generates a PDF dossier via Gotenberg, files the claim via the carrier API or sends it by Gmail with proof links and the dossier, updates the claim row and posts the filing status to Slack. After filing, it triggers a customer remedy in Shopify (replacement draft order, refund, or COD cancellation), records the outcome in Google Sheets, and posts the remedy result to Slack. Separately, it watches Gmail for carrier replies, uses OpenAI to classify the response and extract settlement info, updates the claim in Google Sheets, and supports Slack app mentions to answer claim-status questions from the Claims sheet. Setup Create and connect credentials for Shopify Admin API (HTTP Header auth), Google Sheets, Google Drive OAuth2, Gmail, Slack (app mention trigger and posting), and OpenAI. Add Shiprocket authentication (custom HTTP credential for login) and optionally an AfterShip API key, then choose the tracker and enter keys in the Set Claim Config step. Create a Google Sheets document with a “Claims” tab containing the columns used by the workflow (for example: claim_id, order_id, order_name, awb, carrier, status, claim_amount, email_subject, email_body, filed_at, response_due, remedy, remedy_status). Update Set Claim Config with your Shopify store domain, Google Sheet ID, Slack channel ID, carrier claims email(s), Drive folder IDs for proof photos, liability/approval thresholds, and the public webhook URL for claim approvals. Deploy a Gotenberg instance reachable at the configured URL (http://gotenberg:3000) so the workflow can render the claim dossier PDF. Change the approval_secret in Set Claim Config and ensure the same secret is used in the approval-token verification logic, then set this workflow as its own error workflow so failures are posted to Slack.

Fix Google Merchant Center disapprovals with GPT-4o-mini, Shopify, and Slack

Quick overview This workflow scans Google Merchant Center for disapproved Shopify products, uses OpenAI to draft minimal compliant fixes (title/description/GTIN actions), routes proposals to Slack for approval, applies approved changes back to Shopify, and tracks outcomes in Google Sheets with a daily verification report and Slack Q&A. How it works Runs on a daily schedule (7 AM IST to detect disapproved items and 8 AM IST to verify applied fixes) or when an approval link webhook is opened from Slack. Fetches products from the Google Merchant API, keeps items with DISAPPROVED (or optionally DEMOTED) issues for the configured country, and extracts issue details plus a Shopify product/variant mapping from the offer ID. Loads fix history and a GTIN master from Google Sheets, skips recently handled items, checks GTIN candidates (including check-digit validation), and pulls the current product details from Shopify via the Admin GraphQL API. Sends the combined Merchant Center + Shopify context to OpenAI (gpt-4o-mini) to identify the root cause and generate the smallest safe fix, then validates the proposed text/GTIN against configured rules and confidence thresholds. Writes either a fix proposal or a human task into the Google Sheets “Fix History” tab, posts a daily Slack digest, and sends fix proposals to Slack with one-time Approve/Reject links. When someone approves, verifies the signed token and proposal status, updates the Shopify product (and variant barcode when needed), records the result back to Google Sheets, and posts a confirmation to Slack (or records a rejection). On the 8 AM run, re-fetches Merchant Center products, marks applied proposals as resolved or still disapproved in Google Sheets, and posts a verification report to Slack. Replies to Slack app mentions by using an OpenAI agent that queries Google Sheets tools to answer questions about proposal status and disapproval history in the thread. Setup Create Shopify Admin API access (e.g., a custom app with read_products and write_products) and add it as HTTP Header Auth for the Shopify GraphQL requests, then set your Shopify domain in the workflow config. Add Google OAuth2 credentials for the Google Merchant API with scope https://www.googleapis.com/auth/content and update the Merchant Center account ID and country code in the workflow config. Create a Google Sheet with “Fix History” and “GTIN Master” tabs, connect Google Sheets credentials, and replace REPLACE_WITH_GOOGLE_SHEET_ID wherever it appears. Connect Slack credentials, set the target channel IDs for digest/proposals/status messages, and ensure your Slack app can receive app_mention events. Add OpenAI credentials for gpt-4o-mini and review/update the workflow config values (approval webhook domain, approval_secret, title/description limits, and regex rules) before activating. Set this workflow as its own error workflow in n8n settings and replace the Slack error-alert channel ID so failed runs are reported.

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