Google Sheets workflow'ları
248 sonuç — tümü kaynağa bağlı n8n referansı
Monitor procurement spend and risks with Google Sheets, Groq Llama and Gmail
Quick Overview This workflow runs every 15 minutes to pull procurement transactions and department budgets from Google Sheets, calculate spend utilization and forecasts, generate executive risk insights with Groq Llama, write dashboard records back to Google Sheets, and email critical-risk alerts via Gmail. How it works Runs every 15 minutes on a schedule. Reads procurement transactions and department budget/threshold data from Google Sheets and combines them by department. Aggregates spend per department, calculates utilization, remaining budget, projected monthly spend, vendor counts, pending transactions, and assigns SAFE/WARNING/CRITICAL risk levels. Uses Groq (Llama 3.1) to generate an executive-friendly risk analysis and recommendations for each department based on the calculated metrics. Builds organization-wide dashboard totals (spend, projections, alert counts, highest-spend and top-risk departments) and attaches workflow metadata. Formats the results into executive summary, department insight, and risk alert records and appends them into separate Google Sheets tabs. Sends a Gmail escalation email when a CRITICAL risk alert record is detected. Setup Connect Google Sheets O
Triage Gmail and draft email replies with OpenAI, Slack, and Google Sheets
Quick overview This workflow polls your Gmail inbox every 15 minutes, uses OpenAI to classify unread emails as URGENT, STANDARD, or SPAM, drafts reply emails for non-spam messages, posts a review notification to Slack, and logs spam messages to Google Sheets. How it works Runs every 15 minutes on a schedule and fetches up to 20 unread messages from your Gmail Inbox. Marks each fetched Gmail message as read and extracts key fields (sender, subject, snippet, body text, thread ID) for processing. Sends the email content to OpenAI to return a strict JSON classification (category, action label, priority note, and suggested subject). Routes SPAM messages to Google Sheets to append a row in a “Spam Log” sheet and stops further processing for those emails. Sends URGENT and STANDARD messages to OpenAI to generate a concise, plain-text reply draft in your writing style. Saves the generated reply as a Gmail draft in the original thread and posts a Slack message with the triage details so you can review and send. Setup Connect a Gmail OAuth2 credential and ensure the workflow has access to read Inbox messages, mark them as read, and create drafts. Add an OpenAI credential and customize the two
Run AI employee onboarding with Groq, Google Workspace, and Gemini
Quick overview This workflow ingests onboarding documents from Google Drive into an in-memory vector store with Google Gemini embeddings, then runs a multi-channel onboarding chatbot powered by Groq, sends role-based welcome emails via Gmail when a new hire appears in Google Sheets, and schedules day 1/7/30 check-in emails. How it works Manually runs an ingestion flow that lists files in a specified Google Drive folder, downloads them, extracts text, and indexes them into an in-memory vector store using Google Gemini embeddings. Receives employee questions via n8n Chat (and optionally Slack or Telegram), normalizes the message into a single format, and rejects empty or overly long inputs. Uses a Groq LLM agent with per-user session memory to retrieve relevant excerpts from the in-memory company_docs knowledge base and generate a grounded answer, or directs the user to HR when no relevant content is found. Routes the assistant’s response back to the originating channel (n8n Chat, and optionally Slack or Telegram). Triggers every minute on updates to a Google Sheets “Hires” sheet, validates rows marked as Hired, and skips hires already present in the “Tracking” sheet. Builds a depart
Qualify Facebook lead ads and send follow-ups with Gemini, Gmail, and Sheets
Quick overview Turn every Facebook ad lead into a qualified, followed-up prospect within seconds. AI scores their intent, sends a personalized email tailored to their score, logs campaign intelligence to Google Sheets, and alerts you instantly to hot leads before they consider a competitor. How it works Receives a lead submission via an n8n webhook (or the disabled Facebook Lead Ads trigger). Extracts and normalizes contact details, qualification answers, and Facebook campaign metadata into a consistent lead record. Sends the lead details to Google Gemini to classify the lead as Hot/Warm/Cold and generate a personalized follow-up email. Parses and formats the AI output, falling back to a default email draft if the response cannot be parsed. If an email address is present, sends the AI-written follow-up email to the lead using Gmail. Appends the lead, AI score, reasoning, and campaign fields to a Google Sheets log. If the lead is scored Hot, notifies the agent via Gmail and Slack, then updates the Google Sheets row to mark the agent as notified. Setup Credentials needed: Add credentials for Google Gemini (PaLM/Gemini API), Gmail OAuth2, Google Sheets OAuth2, Slack OAuth2 (optional),
Classify lead function and seniority in Google Sheets with Google Gemini
Quick overview This workflow reads contacts from Google Sheets, uses Google Gemini to classify each contact’s job function and seniority from their job title and company name, and writes the Function, Seniority, and Confidence Score back to the same sheet. How it works Starts manually when you click Execute workflow. Reads rows from a specified Google Sheets worksheet and maps your column headers to the workflow’s expected fields. Keeps only contacts that have a Job Title and no existing Seniority value. Normalizes job titles and company names, deduplicates identical Job Title + Company pairs, and batches the unique combinations to save LLM tokens. Waits between batches to respect rate limits, then sends each batch to Google Gemini to return Function, Seniority, and a confidence score for every original row ID. Parses Gemini’s JSON response and updates the matching rows in Google Sheets with Function, Seniority, and Confidence Score. Setup Add Google Sheets OAuth credentials and set the Google Document ID and Sheet ID in the Global Settings values. Add a Google Gemini (PaLM) API credential for the Google Gemini node. Ensure your sheet has columns for #, Job Title, Company Name (rec
Archive and index legal PDFs from Gmail with Gemini, Sheets and Google Drive
Quick Overview This workflow monitors Gmail for unread emails with PDF attachments, uses Google Gemini to extract Japan Electronic Books Preservation Act filing metadata, logs a searchable index in Google Sheets, and archives documents into Google Drive folders while notifying Slack when extraction or classification fails. How it works Polls Gmail hourly for unread emails that contain attachments and downloads the attached files. Extracts text from the first PDF attachment. Sends the extracted text to Google Gemini to pull out transaction date, counterparty, amount, and document type, and alerts Slack if the document text cannot be read. Builds an Act-compliant PDF filename from the extracted fields and checks that date, counterparty, and amount are all present. If required metadata is missing, posts a warning to a Slack channel to handle the document manually. If metadata is complete, appends a row to a Google Sheets “Document Index”, marks the Gmail message as read to prevent reprocessing, and uploads the PDF to the matching Google Drive folder (invoice/receipt/contract) or flags it in Slack if unclassified. Setup Connect credentials for Gmail, Google Gemini (PaLM) API, Google Sh
Match Japanese jGrants subsidies to your company with Gemini, Slack and Gmail
Quick Overview This workflow runs weekly to search the public jGrants API for open Japanese subsidies, scores each subsidy’s fit for your company using Google Gemini, logs results to Google Sheets, and notifies a Slack channel (and drafts a Gmail kickoff email) for strong matches. How it works Runs weekly on a schedule and loads your company profile details (industry, headcount, prefecture, investment plan, and search keyword). Calls the public jGrants subsidies API to retrieve currently accepting programs sorted by newest first, and posts to Slack if the search fails. Processes each returned subsidy individually and asks Google Gemini to produce a fit score, verdict (strong/possible/no), reasons, next steps, and a short summary. Normalizes the Gemini response into consistent fields, and posts to Slack if scoring fails for a subsidy. Upserts each scored subsidy into a Google Sheets tracker (keyed by subsidy ID) to avoid duplicates across weekly runs. Routes results by verdict: sends a detailed Slack alert and creates a Gmail draft for strong matches, posts a lightweight Slack message for possible matches, and flags unclear verdicts in Slack. Setup Add credentials for Google Gemini
Monitor Japanese business partners for registry changes with gBizINFO and Gemini
Quick Overview This workflow runs weekly to check Japanese business partners listed in Google Sheets against the gBizINFO corporate registry API, uses Google Gemini to assess the risk impact of detected changes, updates the stored partner snapshot, and escalates findings to Slack and Gmail based on materiality. How it works Runs every week on a schedule. Reads the partner list (including corporate numbers and last-known name/address) from Google Sheets. Queries the gBizINFO corporate registry API for each partner and posts a Slack message if the lookup fails. Compares the latest registry data to the stored snapshot to detect name, address, or closure/dissolution changes and continues only when changes are found. Sends the detected changes to Google Gemini to classify materiality (high/medium/low) with a short summary and recommended action, and posts a Slack message if the assessment fails. Updates the Google Sheets partner snapshot with the latest registry details so the change is recorded. Routes by materiality to notify Slack (medium/other), and for high materiality also posts a Slack alert and creates a Gmail draft requesting a credit review. Setup Create a Google Sheets spread
Monitor overtime risk against Japanese labour caps with Gemini, Sheets, Slack & Gmail
Quick Overview This workflow runs weekly to read attendance overtime from Google Sheets, totals it per employee and month, uses Google Gemini to classify risk against Japanese labour-law limits, writes results back to Sheets, and escalates high-risk cases via Slack and a Gmail draft. How it works Runs every week on a schedule. Loads configured Japanese overtime limits and fetches raw attendance rows from a Google Sheets “Attendance” worksheet. Aggregates overtime hours per employee per month. Sends each employee-month total to Google Gemini, which returns a structured risk level (over/approaching/ok) plus a short summary and recommended manager actions. Stores or updates the assessment in a Google Sheets “Overtime Status” worksheet keyed by employee and month. Posts to Slack when overtime is over the cap (and drafts a manager notice in Gmail), posts an early-warning Slack message when approaching the cap, and flags unclear or failed assessments to Slack for manual review. Setup Add credentials for Google Sheets OAuth, Google Gemini (PaLM) API, Slack OAuth2, and Gmail OAuth2. Create a Google Sheets spreadsheet with an “Attendance” sheet containing Employee (or Name), Month (or Date)
WMonitor competitor pricing page changes with OpenAI, Google Sheets and Slack
Quick overview This workflow checks competitor pricing pages each morning, compares the latest visible text to the previous snapshot stored in Google Sheets, and uses OpenAI to summarize meaningful changes before posting an alert to a Slack channel. How it works Runs every day at 08:00 on a schedule. Reads your configured list of competitor page URLs and processes each URL individually. Fetches each page’s HTML, extracts the visible body text, and trims it to a snapshot for comparison. Looks up the previous snapshot for the same URL in Google Sheets. If a previous snapshot exists and the content differs, OpenAI generates a 1–3 bullet summary of meaningful changes based on your watch criteria. Posts the change summary to Slack and then appends or updates the URL’s latest snapshot and “Last Checked” timestamp in Google Sheets. If no previous snapshot exists or no change is detected, it skips the Slack alert and only saves the current snapshot to Google Sheets. Setup Add credentials for Google Sheets, Slack, and OpenAI (Chat) and select the target Slack channel. Create or choose a Google Sheet with columns named URL, Content, and Last Checked, and set the Spreadsheet ID and sheet name
Triage Gmail and draft replies with GPT-5 Mini and Google Sheets
Quick overview This workflow watches your Gmail inbox for new unread emails, uses OpenAI (GPT-5 Mini) to classify each message by priority and category, logs the triage results to Google Sheets, and creates a Gmail draft reply only when the email needs a personal response. How it works Triggers every minute when a new unread email arrives in Gmail. Applies your configured preferences (name, role, categories, and drafting style) to guide the triage. Sends the email content to OpenAI (GPT-5 Mini) to return a structured priority, category, one-line summary, whether a reply is needed, and an optional draft reply. Appends or updates a row in Google Sheets with the email details and triage results. If the email needs a reply, creates a draft reply in Gmail in the same thread addressed to the original sender. Setup Connect your Gmail account (Gmail Trigger and Gmail Draft) and ensure the trigger is set to monitor unread mail as desired. Add an OpenAI credential and select the GPT-5 Mini chat model in the OpenAI node. Connect Google Sheets OAuth credentials, then set the target spreadsheet document ID and sheet name for the triage dashboard. Create a Google Sheet with columns for Date, Fro
Check Japanese ad copy compliance with Google Gemini, Sheets, Slack and Gmail
Quick Overview This workflow runs daily to review Japanese ad copy in Google Sheets using Google Gemini, writes compliance risk results back to the sheet, and alerts the right team in Slack (and drafts a Gmail revision request) based on high/medium/low risk. How it works Runs every day at 9:00 on a schedule. Reads ad copy rows from Google Sheets to find items that still need a compliance check. Sends each copy item to Google Gemini with the configured product category, target laws, and extra rules to generate a risk level, violations, and a compliant rewrite. Parses and normalizes the Gemini output into fields like risk level, violation count, and safe rewrite, and posts a Slack alert if the AI check fails. Updates the corresponding Google Sheets row with the compliance results to keep a record of the review. Routes the item by risk level and posts to Slack for legal blocking (high), marketing review (medium), publish-ready notification (low), or manual review when the result is inconclusive. For high-risk copy, also creates a Gmail draft requesting the author to revise the copy using the suggested compliant rewrite. Setup Add credentials for Google Sheets, Google Gemini (PaLM) API
Verify Japanese invoice registration numbers from Gmail using Gemini, NTA API, Sheets and Slack
Quick Overview This workflow monitors Gmail for unread invoice emails with PDF attachments, extracts invoice details with Google Gemini, verifies Japanese qualified invoice registration numbers against the National Tax Agency (NTA) Invoice Web-API, logs results to Google Sheets, and sends Slack alerts for invalid, missing, or inconclusive checks. How it works Polls Gmail hourly for unread emails matching “has:attachment invoice” and downloads the first attachment. Extracts text from the attached invoice PDF. Uses Google Gemini to parse the invoice text into structured fields such as the T-registration number, issuer name, invoice date, and amounts. Normalizes and validates the registration number to ensure it matches the required “T + 13 digits” format. If the format is valid, calls the NTA Invoice Web-API to verify the registration number and interprets the response as valid, invalid, or not found. Appends the invoice details and verification status to a Google Sheets worksheet. Routes the outcome by sending the appropriate Slack alert for invalid/not found/inconclusive results or marking the invoice email as read when the number is valid. Setup Connect your Gmail OAuth2 credentia
Answer customer questions on WhatsApp with OpenAI, Gmail, and Google Sheets
Quick overview This workflow answers incoming WhatsApp customer questions using an OpenAI-powered agent that reads your live website via HTTP requests, escalates unclear or sensitive cases to your support team via Gmail, and logs each conversation to Google Sheets. How it works Triggers when a new WhatsApp message is received. Loads configuration values (company name, website root URL, AI model, language rules, escalation email, and WhatsApp phone number ID) and extracts the customer phone number and message text. Ignores non-text WhatsApp updates (such as images, audio, and status messages). Uses OpenAI with conversation memory to navigate your website by listing links and fetching relevant pages, then generates a structured result containing an answer, escalation flag, sentiment, topic, and source URLs. If the agent marks the request as needing a human, sends an escalation email via Gmail to your support address with the customer details and the drafted reply. Sends the final plain-text reply back to the customer on WhatsApp. Appends the conversation details to a Google Sheets log. Setup Connect credentials for WhatsApp Trigger/WhatsApp Cloud API, OpenAI, Gmail, and Google Sheets
Screen LinkedIn jobs and send tailored applications with Apify and OpenAI
Quick overview This workflow collects your job preferences via an n8n form, uses Apify to scrape LinkedIn job listings, and has OpenAI screen and rank them. After you approve a shortlist by Gmail, it generates tailored resume and cover-letter PDFs with DocRaptor, emails them to you, and logs matches to Sheets How it works Receives your job preferences and resume text through an n8n form submission. Sends the preferences to Apify to scrape recent LinkedIn jobs, then removes duplicates and obvious mismatches (seniority, years of experience, and location). Uses OpenAI to score each job’s relevance and eligibility and returns a JSON verdict with a fit score and short reason. Keeps the top matches above the configured threshold and emails you a shortlist in Gmail with approve/decline buttons. If you approve, uses OpenAI to draft a job-specific resume and cover letter from only the provided profile text and generates HTML interview prep questions. Converts the resume and cover letter HTML into PDFs via DocRaptor, emails the tailored application package to you in Gmail, and appends the match details to a Google Sheets tracker. Setup Add credentials for OpenAI, Gmail OAuth2, Google Sheets
Draft personalized cold emails from Google Sheets using Gemini and HubSpot
Quick overview This workflow batch-processes leads from Google Sheets, researches each person and company using Tavily plus Google Gemini, drafts a personalized cold email, then creates/updates the contact in HubSpot with a research note and a saved email draft before marking the lead as Done in the sheet. How it works Runs manually and sets a batch size that controls how many leads to process per run. Reads leads from Google Sheets, skips rows already marked as Done, and normalizes the selected batch into clean lead fields. Processes the batch one lead at a time and uses Tavily search (last 60 days) with Google Gemini to extract the most recent public activity, pain points, and a personalization hook. Cleans and parses the research JSON so it can be reused reliably downstream. Uses Google Gemini to draft a 90–120 word cold outreach email (subject and body) that incorporates the research and offers a free “Automated LinkedIn Post Creator” n8n workflow. Creates or reuses the HubSpot contact, logs a HubSpot note with the research and drafted email, and saves the email as a HubSpot engagement in DRAFT status. Updates the matching row in Google Sheets (by Email) to set Status to “Done
Send and track Slack invoice requests with Gemini, Google Sheets and Gmail
Quick overview Youtube Video: https://youtu.be/42-oHh9w9Eo This workflow listens for Slack @mentions, uses Google Gemini to classify the request and extract invoice details, then reads and updates Google Sheets, generates invoice PDFs with PdfBro, sends invoices or reminders via Gmail, and posts confirmations or errors back to Slack. How it works Triggers when the workflow’s Slack app is mentioned in a specified Slack channel. Uses Google Gemini to classify the message intent (send invoice, remind invoice, or check status) and extract the recipient email and invoice due date. Routes the request based on the extracted intent and stops if the intent cannot be determined. For SEND_INVOICE, looks up the client in a Google Sheets “Client Bill” spreadsheet and posts a Slack error if no matching email is found. If a client is found, generates an invoice PDF with PdfBro, emails it to the client via Gmail, appends/updates the invoice record in a Google Sheets “Client Invoices” spreadsheet, and posts a Slack confirmation. For REMIND_INVOICE, finds an UNPAID invoice for the email in the “Client Invoices” Google Sheet, regenerates the invoice PDF with PdfBro, emails a reminder via Gmail, and p
WRun LinkedIn outreach with Google Gemini, Apify, Google Sheets, and PhantomBuster
Quick overview This workflow collects a plain-English LinkedIn audience description via an n8n form, uses Google Gemini to generate a search URL, pulls matching leads from Apify, writes five personalized icebreakers to Google Sheets, and drip-launches a PhantomBuster agent every 15 minutes. How it works Receives a form submission with a plain-English description of your target LinkedIn audience. Uses Google Gemini to turn the audience description into a JSON response containing an Apollo-style search URL, then parses and extracts the searchUrl value. Calls the Apify API to run an actor and return up to 100 lead records matching the configured filters. Limits processing to the first five leads to control outreach volume. Uses Google Gemini to generate a short, unique connection-message icebreaker for each lead based on their profile fields. Appends or updates each lead in Google Sheets with contact details, LinkedIn URLs, and the generated icebreaker. Waits 15 minutes per lead and then triggers a PhantomBuster agent via HTTP request to start the outreach action. Setup Create and add credentials for Google Gemini (PaLM API) and update the model selection if needed. Add an Apify API t
Handle WhatsApp customer service chats with Google Gemini and Google Sheets
Quick Overview This workflow handles WhatsApp customer service via OpenWA, using Google Gemini and a Google Sheets knowledge base to answer personal chats, while routing conversations to a human queue in Google Sheets when escalation is needed. How it works Triggers on OpenWA WhatsApp events and ignores message reactions except for specific ✅/☑ reactions used to re-enable AI handling. Normalizes incoming event fields and processes only personal chats (IDs ending with @c.us) that are not sent by your own WhatsApp account. Checks a Google Sheets “Session Chat” list to decide whether the conversation is currently handled by a human, and only continues to AI when no active human session is found. Uses a Google Gemini chat model with short-term memory and a Google Sheets “Database Company” tool to draft a friendly Indonesian response based only on the sheet data. If the AI response does not contain the #admin escalation token, it sends the reply back to the customer via OpenWA. If the AI response contains #admin, it appends the chat to the Google Sheets “Session Chat” sheet to flag it for human follow-up. When a ✅/☑ reaction is received for a chat, it finds and deletes the corresponding
CWExtract and log Gmail admin tasks with OpenAI, Google Sheets and Airtable
Quick overview This workflow monitors Gmail for messages labeled “Admin”, redacts sensitive data, uses OpenAI to extract structured admin tasks and reminders, skips duplicates by checking Google Sheets and/or Airtable, sends optional Slack or Microsoft Teams alerts for urgent items, and logs the clean task details. How it works Triggers every minute when a new Gmail message matches the query label:Admin newer_than:7d. Loads configurable settings (log destination, alert channels, due-soon window, dedupe window, and redaction toggle) and normalizes the email into a clean text body. Redacts sensitive patterns (such as SSNs, card-like numbers, phone numbers, email addresses, and addresses) and generates an “admin hash” fingerprint for deduplication. Checks Google Sheets and/or Airtable for recent matching Message IDs or admin hashes and skips processing if the email appears to be a duplicate. Sends the redacted email content to OpenAI to classify whether it is an admin item and to extract fields like task title, summary, priority, due date/time, and recommended next step. If the item is valid, optionally posts an alert to Slack and/or Microsoft Teams for urgent/high-priority, due-soon,
CWExtract and log Gmail receipt expenses with OpenAI, Sheets and Airtable
Quick overview This workflow monitors a Gmail “Receipts” label, downloads attachments, uses OpenAI to extract expense data from receipt emails and images, skips duplicates and non-receipts, fails safely when extraction is unreadable, sends Slack/Teams alerts for high-value, warranty, or review-needed receipts, and logs valid receipts to Sheets or Airtable. How it works Triggers every minute when Gmail finds new emails matching the query label:Receipts newer_than:2d. Normalizes the email into consistent fields (message ID, subject, sender, received date, plain-text body) and generates a receipt hash for stable matching. Searches Airtable and/or Google Sheets for existing records matching the message ID or receipt hash and marks the email as a duplicate if it falls within the configured duplicate window. For new receipts, sends the email content to OpenAI to extract receipt details like merchant, total, category, line items, tax hints, and return/warranty dates. Evaluates the extraction to flag high-value, warranty/return-relevant, or needs-review receipts and formats alert messages. Posts alerts to Slack and/or Microsoft Teams when enabled and the receipt is not “standard.” Appends
WScrape and score Amazon products with Apify, OpenAI, and Google Sheets
Quick overview This workflow manually scrapes product results from an Amazon search URL via the Apify Amazon Crawler actor, uses OpenAI to generate a structured product analysis (category, key feature, verdict, value score), and appends the enriched results to a Google Sheets spreadsheet. How it works Runs when you manually click “Test workflow” in n8n. Sends the configured Amazon search URL and scraping limits to the apify Amazon Crawler actor and retrieves the dataset items. Filters out any scraper items that are missing a title or contain an error. Uses OpenAI to analyze each product’s title, brand, price, rating, and review count and returns a structured category, key feature, buyer verdict, and 1–10 value score. Combines the scraped fields and AI analysis into a single row format and adds a timestamp. Appends each enriched product as a new row in Google Sheets. Setup Create an apify API token and add it as an HTTP Header Auth credential used by the Apify request. Add an OpenAI API key as an OpenAI credential and choose the model to use in the configuration. Connect a Google Sheets OAuth2 account and select the target spreadsheet, sheet tab, and columns for appending rows. Upda
WGenerate weekly Pinterest content opportunity briefs with Apify, OpenAI and Google Sheets
Quick overview Research a Pinterest niche with FetchCat's Pinterest Search Scraper, preserve every source pin in Google Sheets, and use one evidence-controlled OpenAI call to identify recurring themes, underrepresented angles, and five production-ready content briefs without claiming search volume or trend growth. How it works Starts manually with one research niche and one to five exact Pinterest search phrases, plus locale, country, and a configurable result limit. Runs fetch_cat/pinterest-search-scraper through a Cloud-compatible HTTP Request and collects 20 to 500 public pins per search with public detail enrichment enabled. Validates, normalizes, and deduplicates returned pins. It stops before AI or destination writes when fewer than ten usable pins remain. Builds stable Google Sheets rows, deterministic phrase counts, and a bounded evidence packet, then uses one structured gpt-5.4-mini request for analysis. Removes invalid pin citations and rejects any finding that retains no supplied evidence, preventing unsupported recommendations from reaching the destination. Upserts source pins and a readable brief into separate Pins and Research Brief tabs using stable same-day research
Find and verify business emails with ScraperCity, OpenAI, Google Sheets, and Gmail
Quick overview This workflow reads contacts from Google Sheets, finds and verifies their business emails via the ScraperCity Email Finder API, generates a short personalized icebreaker with OpenAI, appends the enriched leads to another Google Sheet, and emails a run summary via Gmail. How it works Starts manually to run an email enrichment job. Reads contacts (first name, last name, domain) from an input Google Sheets worksheet and aggregates them into a single payload. Submits the contacts to the ScraperCity Email Finder API, then waits and repeatedly checks the job status until it succeeds or fails/times out. When the job succeeds, downloads the result CSV from ScraperCity, parses it, normalizes key fields (name, domain, email, verification status, provider), and keeps only rows with an email. For each verified contact, prompts OpenAI to generate one short, company-referencing cold-email opening line in the configured language. Appends the enriched lead (including email, status, and icebreaker) to an output Google Sheets worksheet and sends a summary email via Gmail. Setup Create a ScraperCity account with Email Finder credits and add an HTTP Header Auth credential that sends you