Quick overview This workflow receives new lead details via a webhook, looks up a company phone number with Tomba using the lead’s domain, updates a Google Sheets lead tracker, and sends a formatted callback alert to a Slack channel. How it works Receives lead data in a POST webhook request. Processes incoming leads in batches to handle multiple items safely. Uses Tomba to find a phone number for each lead based on the provided company domain. Formats the lead details and enrichment results into tracker fields and a Slack-ready message. Updates the matching lead row in Google Sheets (matched by Domain) with the phone, status, and “Slack Notified” flag. Posts the callback alert message to a selected Slack channel and continues until all leads in the batch are handled. Setup Configure the source system to send lead payloads to the workflow’s webhook URL (path: /GHL) with fields like Full name, Email, Company name, and Company domain. Add your Tomba API credentials to enable phone lookup by domain. Connect your Google Sheets credentials and set the target spreadsheet and sheet, ensuring columns like Domain, Phone, Status, and Slack Notified exist.
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See all Google Sheets→WCalculate Shopify variant prices from Google Sheets with Slack approvals
Quick overview Video Explanation: https://youtu.be/_geRatkc1kU?si=qALW_nrPrNB4THuO This workflow runs daily to calculate Shopify variant prices from Google Sheets COGS inputs, automatically updates qualifying prices in Shopify, and posts Slack alerts for changes that need manual approval; it also supports Slack-based approvals to apply a proposed price from a Slack thread. How it works Runs every day on a scheduled trigger. Reads product dependency/recipe data from Google Sheets and looks up the latest supplier prices in a second Google Sheets sheet. Calculates raw COGS, landed COGS (with hidden cost percentage), and a target-margin retail price for each Shopify variant. Checks the calculated price against thresholds and either updates the Shopify variant price via the Shopify Admin API or posts an approval-required alert to Slack. Posts a Slack confirmation message when a scheduled Shopify price update succeeds. Triggers on Slack reaction events, verifies an authorized Slack user approved the change, then fetches the Slack thread replies and extracts the variant ID and approved price. Updates the Shopify variant price with the extracted value and posts a final status message to Sl
Extract invoice data into Google Sheets with LDX hub AnalyzeDoc Gemini
Quick overview This workflow collects an invoice PDF or image through an n8n form, uses LDX hub AnalyzeDoc (Gemini) to extract key invoice fields as JSON, and appends the results as a new row in Google Sheets. How it works Receives an invoice file upload (PDF/JPG/PNG) through an n8n form submission. Sends the uploaded document to LDX hub AnalyzeDoc (google/gemini-3.5-flash) with a prompt that extracts invoice metadata, parties, dates, and amounts into a JSON schema. Parses the extracted JSON into structured fields for downstream use. Appends the extracted invoice fields as a new row in the selected Google Sheets spreadsheet and worksheet. Setup Install the community node package n8n-nodes-ldxhub and create an LDXhub API credential (API key) for the AnalyzeDoc node. Add a Google Sheets OAuth2 credential and select the target spreadsheet and sheet in the Google Sheets append step. Create a header row in your Google Sheet that matches the extracted fields (invoice_number, issue_date, due_date, vendor_name, vendor_address, vendor_tax_id, bill_to, subtotal, tax, total, currency, payment_terms) so auto-mapping writes to the correct columns.
Extract meeting decisions and action items with LDX hub (Gemini) and Google Sheets
Quick overview This workflow collects a meeting-minutes PDF via an n8n form, uses LDX hub (Gemini) to segment it by agenda and extract decisions and action items, then appends each item as a row in Google Sheets. How it works Receives a PDF upload through an n8n form submission trigger. Sends the document to LDX hub AnalyzeDoc (Google Gemini) to split the minutes into agenda-topic segments and return them as structured JSON — a topic that spans multiple pages stays in one segment. Converts the agenda segments into a JSONL batch so each segment can be processed independently. Sends the batch to LDX hub StructFlow (Google Gemini) to extract every decision and action item with owner and due date per agenda segment. Expands the extracted results into one row per decision/action item with agenda context. Appends the rows to a selected Google Sheets worksheet. Setup Install the n8n-nodes-ldxhub community node and create an LDXhub API credential. Create a Google Sheet with columns: agenda_no, agenda_title, item_type, item, owner, due_date. Add a Google Sheets OAuth2 credential and select the target spreadsheet and sheet in the append step. Activate the workflow and use the generated form