Google Sheets Workflows
4.090 Ergebnisse — 488 herunterladbare Workflow-Dateien, 3.602 quellenverknüpfte n8n-Referenzen
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Collect post-purchase product reviews with WooCommerce, Google Sheets, and SMTP
Quick overview This workflow sends post-purchase review request emails for WooCommerce orders, stores expiring form links in Google Sheets, optionally shortens links with Dub.co and delays delivery, serves a hosted rating form via n8n webhooks, and submits collected reviews back to WooCommerce. How it works Receives an order completion event via a WooCommerce webhook or an external POST webhook and returns a 200 OK response. Normalizes the incoming order payload, generates a unique form token and expiry, and builds a customer-specific review form URL. Fetches each product’s image and permalink from the WooCommerce REST API, aggregates the product list, and appends the form record to a Google Sheets tab. Optionally shortens the form URL using the Dub.co API and optionally waits a configured number of days before sending the message. Renders an HTML email containing the ordered products and the review link and sends it via SMTP to the customer. When the customer opens the review link, looks up the form token in Google Sheets, validates status/expiry, and serves either the multi-product rating form HTML or an error page. When the form is submitted, validates the token again, posts eac
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Post TikTok, YouTube Shorts and Instagram Reels with Airtable, OpenAI and Google
Quick Overview This workflow runs on a schedule, pulls the next publish-ready video from Airtable, uses OpenAI, Google Gemini, and CloudConvert to generate a transcript, title, description, tags, and hashtags, then uploads to YouTube Shorts, posts an Instagram Reel via Meta Graph API, and queues TikTok publishing via Google Sheets. How it works Runs on a schedule (or manually) and waits a random number of minutes to stagger posting. Searches Airtable for content marked Publish = true and Status = “In Publish Queue”, then selects a single record to process. Downloads the video, converts it to MP3 with CloudConvert, and transcribes the audio with OpenAI. Uses OpenAI and Google Gemini to extract a main keyword, generate a YouTube-optimized title, and create YouTube tags, hashtags, and a full YouTube description, then derives a shorter content-only caption for Instagram/TikTok. Uploads the video to tmpfiles.org to generate a direct file URL and updates the Airtable record with the generated metadata and set Status = “Published”. Uploads the video to YouTube with the generated title, description, and tags. Creates and publishes an Instagram Reel via the Meta (Facebook) Graph API after a
WScore LinkedIn job matches with OpenAI, Google Sheets, Slack, and Apify
Quick overview Runs fetch_cat/linkedin-jobs-scraper daily to collect recent LinkedIn jobs, scores each listing against your candidate profile with OpenAI, saves qualified matches to Google Sheets, and sends the five strongest results to Slack without redelivering previously processed job IDs. How it works Runs on a daily schedule (or via manual trigger) and ensures an n8n Data Table exists to track which LinkedIn job IDs have already been delivered. Runs the FetchCat LinkedIn Jobs Scraper (fetch_cat/linkedin-jobs-scraper) through Apify's API using your configured keywords and location, waits for the Actor run to finish, and downloads up to 10 structured job records from its dataset. Normalizes the scraped job records, caps the list to 10 items, and skips any jobs that already exist in the delivery ledger. Sends the remaining jobs to OpenAI in one structured request to score each job against your candidate profile and filters out results below the minimum score. Appends or updates qualified matches in Google Sheets (upserting by LinkedIn job ID) and formats a Slack message containing the five highest-scoring jobs. Posts the digest to your chosen Slack channel and records the deliver
Create and approve AI social posts with OpenAI, Telegram and Blotato
Quick overview This workflow runs daily to generate an AI-written social post and DALL·E image with OpenAI, sends it to Telegram for approval, and—if approved—publishes it to LinkedIn, X, Instagram, Facebook, and Threads via Blotato while logging outcomes to Google Sheets. How it works Runs every 24 hours on a schedule trigger. Uses OpenAI to generate a single content topic (title, angle, and hook) based on your niche, audience, and language settings. Uses OpenAI to write one social post with a separate hashtag line and an image prompt in your specified tone and style. Uses OpenAI Images (DALL·E) to generate a matching image and extracts a shareable image URL. Sends the post text, hashtags, and image link to Telegram and waits for you to approve or skip within the configured time window. If approved, publishes the post with the image to LinkedIn, X, Instagram, Facebook, and Threads using Blotato and appends a “Published” log row to Google Sheets. If skipped or not approved, appends a “Skipped” log row to Google Sheets. Setup Add OpenAI API credentials and ensure the selected chat model and image model in the configuration match models available to your account. Add Telegram credent
WTrack and analyze TikTok videos with Apify, OpenAI, and Google Sheets
Quick overview This workflow runs daily (or manually) to fetch recent videos from a list of TikTok accounts via Apify, transcribes each video with OpenAI, generates content insights and translations, and then appends or updates one row per video in Google Sheets. How it works Runs on a daily schedule (or manually) and loads configuration values like the date window, video limit, output language, and Apify actor. Reads the TikTok usernames to monitor from the accounts tab in Google Sheets. Calls the Apify TikTok Scraper API to retrieve the latest videos for each configured account. Filters and normalizes the results to keep only videos published within the last N days and extracts metrics, captions, hashtags, and download URLs. Downloads each video file and transcribes it with OpenAI speech-to-text. Sends the transcription plus caption and hashtags to OpenAI to extract a hook, classify the content, infer the video format, and translate the transcription. Writes the combined video metadata, transcription, and AI insights to the insights tab in Google Sheets using an append-or-update operation. Setup Create a Google Sheets spreadsheet with an accounts sheet containing a username colum
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 text from images with Apify Google Lens OCR and Google Sheets
Quick overview Turn image URLs into clean, structured text and log it to Google Sheets automatically. No OCR library, no setup, powered by Apify Google Lens. How it works Runs manually when you click Test workflow. Sets the target public image URL to process. Sends the image URL to Apify (Google Lens OCR) to extract the full text and related OCR metadata. Keeps the key fields (image URL, detected language, full text, and scrape timestamp) from the OCR result. Appends the extracted text and metadata as a new row in Google Sheets. Setup Install the Apify community node and add an Apify API token credential for the OCR step. Add a Google Sheets OAuth credential. Replace the Google Sheets document ID with your spreadsheet ID and confirm the target sheet name/columns for auto-mapping. Update the imageUrl value to a publicly accessible image you want to OCR (PNG/JPG/WebP).
Send daily appointment reminders from Google Sheets to WhatsApp
Quick overview This workflow runs daily to read appointment bookings from Google Sheets, filter for tomorrow’s appointments that have not been reminded yet, send each client a WhatsApp reminder message, and then update the sheet to mark the reminder as sent. How it works Runs every day at 9 AM on a schedule. Sets the Google Sheet ID, sheet tab name, WhatsApp phone number ID, and calculates tomorrow’s date. Reads all appointment rows from the specified Google Sheets tab. Filters to appointments where the appointment_date is tomorrow and reminder_sent is not true. Sends a WhatsApp message to each remaining client using their phone_number and appointment details. Updates the corresponding Google Sheets row (matched by row_id) to set reminder_sent to true. Setup Add Google Sheets OAuth credentials and set the target spreadsheet ID and sheet/tab name in the configuration values. Add WhatsApp Business Cloud (WhatsApp) credentials and set your WhatsApp phone number ID used to send messages. Ensure your Google Sheet includes the columns row_id (unique), client_name, phone_number, service, appointment_time, appointment_date (yyyy-MM-dd), and reminder_sent (boolean).
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
Track RSS events with OpenAI GPT-4.1-mini, Google Sheets, and Outlook
Quick overview This automated pipeline monitors an RSS feed, leverages an OpenAI chat model to extract event details into structured JSON, logs the data to Google Sheets, and triggers real-time email notifications via Microsoft Outlook. How it works Trigger: An RSS node polls the specified feed every minute to detect new entries. Batching: A Loop node isolates each RSS item to ensure accurate, individual processing without data overlap. AI Extraction: An AI Agent, powered by OpenAI, extracts the event title, date, URL, and description, formatting the output strictly as JSON. Sanitization: A custom JavaScript Code node cleans the LLM response by stripping markdown blocks and parsing the JSON object. Database Logging: The Google Sheets node maps the parsed keys and appends a new row for the event. Alerting: An Outlook node dispatches an automated notification email, and the loop continues for the next item. Setup Configure the RSS Feed Trigger by pasting your target feed URL. Add your OpenAI API credentials to the OpenAI Chat Model node (verify your specific model identifier, e.g., gpt-4o-mini Authenticate the Google Sheets node via OAuth and select your destination spreadsheet and w
WLog nearby businesses from OpenStreetMap to Google Sheets by proximity
Quick overview This workflow collects a location and business search criteria via an n8n form, geocodes the location with OpenStreetMap Nominatim, finds nearby matching businesses using the Overpass API, and appends normalized results (including website availability) to a Google Sheets spreadsheet. How it works Receives a submission from an n8n form with a location, business category, search radius, and maximum results. Sends the location text to OpenStreetMap Nominatim to retrieve latitude and longitude coordinates. Stops if the location cannot be geocoded, preventing an invalid proximity search. Builds an Overpass QL query for the selected business category and radius around the geocoded coordinates. Calls the OpenStreetMap Overpass API to return matching nodes/ways and their tags (for example website, phone, and opening hours). Normalizes the returned elements into a consistent set of fields, flags whether a website is present, and appends the rows to Google Sheets. Setup Add a Google Sheets credential and select the target spreadsheet and sheet in the Google Sheets append step. Update the User-Agent value to include a real contact email to comply with OpenStreetMap usage policy
Calculate litigation deadlines from intake forms with Google Calendar, Sheets, Slack and Gmail
Quick Overview This workflow collects litigation matter intake details via an n8n form, calculates limitation and procedural deadlines using a built-in rules table, then creates deadline and reminder events in Google Calendar, logs each deadline to Google Sheets, and sends a summary via Slack and Gmail. How it works Receives a submission from an n8n form with the matter details, jurisdiction, claim type, and trigger dates. Loads the configured limitation rules, procedural rules, holidays, reminder offsets, and target Google Calendar/Google Sheets/Slack/email settings. Calculates limitation and procedural due dates (and any review notes) from the provided dates, rolling deadlines off weekends/holidays and generating reminder dates. Appends each calculated deadline record to a Google Sheets register. Creates an all-day Google Calendar event for each calculated deadline and separate all-day events for each upcoming reminder offset. Posts a consolidated deadline summary to a Slack channel and emails the same summary via Gmail to the responsible lawyer (or a fallback team email). Setup Connect credentials for Google Calendar, Google Sheets, Slack, and Gmail. In the rules/settings step,
WTrack recurring job pain points with SerpApi, Gemini, and Google Sheets
Quick Overview This workflow runs weekly to pull Google Jobs results via SerpApi, uses Google Gemini to extract operational pain points and an automation opportunity from each posting, logs them to Google Sheets, and writes a frequency-ranked pain-point summary to a summary tab. How it works Runs weekly on a schedule. Sets the target job role, location, and Google Sheets tab name to use for this run. Queries Google Jobs through SerpApi and splits the response into one item per job posting. Sends each posting’s title, company, and description to Google Gemini and parses the returned JSON into structured fields. Appends each analyzed posting (company, title, pain points, automation opportunity, and collection date) as a new row in Google Sheets. Reads all rows from the same Google Sheets tab, counts how often each pain-point phrase appears, and sorts the list by frequency. Appends the ranked pain-point frequency list to a Google Sheets "summary" tab. Setup Add a SerpApi API key and update the SerpApi request parameters in the HTTP request step (or store the key in an n8n credential). Connect a Google Sheets OAuth2 credential and replace the placeholder spreadsheet URL/ID with your ow
WTrack buyer query citation sources with GPT-4o and Google Sheets
Quick overview This workflow tracks which sources ChatGPT cites for buyer queries.vIt runs weekly to test buyer queries against OpenAI’s GPT-4o web search, extracts the cited URLs, and logs per-query citation counts and domain classifications to Google Sheets. How it works Runs every week on a schedule trigger. Reads a list of buyer queries (including brand and competitor context) from the queries tab in Google Sheets. Sends each query to OpenAI’s gpt-4o-mini-search-preview three times with web search enabled and extracts the url_citation annotations from each response. Aggregates citations per query and domain, calculating citation totals and a sample hit rate across the three runs. Sends the unique cited domains to OpenAI’s gpt-4o-mini to classify each domain into a source taxonomy (brand site, competitor site, review platform, community, publisher, or docs/other). Appends the aggregated rows with the domain classification and an example URL to the citations tab in Google Sheets. Setup Add an OpenAI API key as an HTTP Header Auth credential (Authorization: Bearer YOUR_KEY) for both OpenAI HTTP requests. Add a Google Sheets credential with access to the target spreadsheet. Create
Route WhatsApp support requests with Groq, Google Sheets, Gmail, Telegram and AiSensy
Quick overview This workflow receives incoming WhatsApp messages via an n8n webhook, loads an FAQ knowledge base from Google Sheets, and uses Groq (Llama 3.3) to classify intent and generate a reply. It sends the response through the AiSensy API, logs the conversation to Google Sheets, and alerts via Gmail and Telegram. How it works Receives a POST request from AiSensy on a WhatsApp webhook when a customer sends a message. Extracts the customer phone, name, message text, and timestamp, and ignores requests missing required fields. Loads FAQ question-and-answer rows from Google Sheets and sends them with the customer message to Groq (Llama 3.3) to classify intent, detect language and urgency, and draft a reply. Parses and validates the model’s JSON output and formats a safe fallback reply if parsing fails. Sends the generated reply back to the customer using the AiSensy WhatsApp API. Sends a Gmail alert when the intent is COMPLAINT and posts a Telegram alert when the intent is ESCALATE. Appends or updates a conversation log row in Google Sheets and returns a 200 OK webhook response. Setup Configure AiSensy to send message events to this workflow’s webhook URL (path: /whatsapp-suppor
Log email receipts to Google Sheets with Gmail and OpenAI
Quick Overview This workflow logs Gmail receipt attachments to Google Sheets by extracting structured fields with OpenAI (including category selection from your list), prevents duplicates by checking the ledger, and sends a monthly spending summary email via Gmail based on last month’s rows. How it works Triggers when a Gmail message matching has:attachment subject:receipt arrives or when a schedule runs on the 1st of the month at 8am. For receipt emails, looks up the Gmail message ID in Google Sheets and stops if the receipt is already logged. If the receipt is new, extracts text from PDF attachments or transcribes image receipts using OpenAI vision. Sends the receipt text to OpenAI to extract receipt_date, merchant, amount, currency, and a category chosen only from your predefined category list. Appends one cleaned expense row to Google Sheets with the extracted fields plus a processed timestamp, Gmail message ID, and the original email subject. For the monthly run, reads the full Google Sheets ledger, totals last month’s expenses by category, and emails the summary to you via Gmail. Setup Connect Gmail credentials for the Gmail Trigger and for sending the monthly summary email.
Turn customer emails into FAQ drafts with Gmail, Gemini, Docs and Sheets
Quick overview This workflow monitors customer-support emails in Gmail, uses Google Gemini to extract FAQ-ready questions and draft answers, logs every candidate to Google Sheets, and routes strong candidates to a Google Docs draft while sending unclear or sensitive messages to a Gmail draft for manual review. How it works Triggers every 5 minutes when Gmail finds new messages matching the configured support-style search query. Cleans and normalizes the email metadata and body text to remove signatures and quoted replies. Sends the normalized email content to Google Gemini to extract the customer question, category, urgency, FAQ value score, draft answer, and a recommended action as structured JSON. Logs the extracted FAQ candidate details (including score, tags, and sensitivity flags) to a Google Sheets tab for tracking. Creates a Google Docs FAQ draft and inserts the generated draft content when the candidate meets the score threshold or is marked as reusable. Creates a Gmail draft to the reviewer with the Google Docs link for high-value candidates, or a separate Gmail draft containing review notes for sensitive or unclear emails. Setup Connect credentials for Gmail, Google Gemin
Schedule social media posts from a Google Sheets content calendar via PostFast
Quick Overview This workflow runs every morning to read a Google Sheets content calendar, filter for posts marked ready and scheduled in the future, schedule them in PostFast, and then update the sheet to mark each row as scheduled. How it works Runs every day at 7:00 AM using a schedule trigger. Reads all rows from a Google Sheets content calendar. Keeps only rows where the status is ready and the scheduledAt time is at least 10 minutes in the future. Creates scheduled posts in PostFast using each row’s content, scheduled time, and social account ID. Updates the corresponding Google Sheets rows to set status to scheduled so they are not scheduled again. Setup Install and enable the PostFast community node (n8n-nodes-postfast) and add your PostFast API key credentials. Add your Google Sheets credentials and select the target spreadsheet and sheet in both Google Sheets steps. Ensure your sheet includes content, scheduledAt (ISO date-time), accountId (PostFast social account ID), and status columns, and set status to ready for rows you want to schedule. Confirm the Google Sheets update step matches rows correctly for your data (it uses the content column as the matching key) to avoid
Validate startup ideas and generate business plans from Telegram with Perplexity and GPT-4o
Quick overview This workflow receives startup ideas via a Telegram bot, uses OpenAI (GPT-4o and GPT-4o mini) plus Perplexity to score, research, and validate them, then generates a full business plan in Google Docs, logs key results to Google Sheets, and returns the plan link in Telegram. How it works Receives a Telegram message containing a raw startup idea. Uses OpenAI (GPT-4o mini) to structure the idea, detect its language, and assign an initial 1–10 idea score with improvement feedback. If the idea score is below the configured threshold, sends the score reasoning back to Telegram and stops. If the score meets the threshold, asks in Telegram for approval to run full research and plan generation. After approval, uses Perplexity to research the target market and competitors and then uses OpenAI (GPT-4o) to structure the findings, score market and competition, and generate differentiation and moat notes. Uses OpenAI (GPT-4o mini) to validate demand, risks, and go-to-market approach, then computes a composite score and recommendation. Uses OpenAI (GPT-4o) to write a full business plan, saves it to a Google Doc, appends a summary row to Google Sheets, and sends the Google Doc link
Send scheduled quote follow-up emails with Gmail and Google Sheets
Quick Overview This workflow runs daily to read open quotes from Google Sheets, calculates how many days have passed since each quote was sent, and sends the appropriate 3-, 7-, or 14-day follow-up email via Gmail, then writes a sent date back to the sheet to prevent duplicates. How it works Runs every day at 9am on a schedule trigger. Loads your business details, follow-up day offsets, and email subject/body templates from a preset configuration. Reads all quote rows from a Google Sheets spreadsheet. Keeps only quotes with status set to open, calculates days since sent_date, and selects the next due follow-up (day 3, 7, or 14) that has not been sent yet. Sends a plain-text follow-up email through Gmail to each due quote’s customer using the filled template. Updates the matching Google Sheets row (by quote_id) to stamp the corresponding followup_1, followup_2, or followup_3 column with today’s date. Setup Add Google Sheets credentials, select the target spreadsheet and sheet in both Google Sheets steps (read and update). Add Gmail credentials for the mailbox you want to send follow-ups from. Create a quotes sheet with headers quote_id, customer_name, customer_email, quote_amount, s
Answer support FAQs with Google Gemini, Supabase, Google Sheets and WhatsApp
Quick overview This workflow ingests FAQs from Google Sheets into a Supabase vector table using Google Gemini embeddings, then serves a webhook-based support chatbot that answers only from that FAQ knowledge base and escalates unanswered questions to a human via UltraMsg WhatsApp. How it works Runs manually to pull FAQ rows (Question/Answer) from a Google Sheets spreadsheet. Formats each row into a single text document (for example, Q: … A: …), generates embeddings with Google Gemini, and inserts the documents into a Supabase vector store table. Receives incoming chat messages via a POST webhook that includes message and sessionId. Uses a Google Gemini chat model with session-based memory to query the Supabase vector store for the most relevant FAQ matches and generates a reply strictly from the retrieved content. If the agent output indicates escalation to a human, sends the full message content to UltraMsg via an HTTP request to alert a WhatsApp number. Returns a JSON response to the webhook caller with either the FAQ-based answer or a confirmation that a human agent has been notified. Setup Add credentials for Google Gemini (PaLM) API, Supabase, and Google Sheets OAuth2. In Supa
WMonitor new template releases with OpenAI and log insights to Telegram and Google Sheets
Quick overview This workflow runs daily to check the public n8n Templates API for newly published templates in a chosen category, generates improvement suggestions with OpenAI, logs each new template to Google Sheets, and sends a Telegram digest (with an optional all-clear message when nothing new is found). How it works Runs every day at 9 AM on a schedule. Fetches the latest templates for the configured category from the n8n Templates API. Extracts key metadata for each template and compares template IDs against a stored “seen” list to detect newly published items. For each new template, sends its details to an OpenAI chat model to generate 4–6 business-focused improvement tips. Appends one row per new template (including the AI tips and metadata) to a Google Sheets spreadsheet. Builds a combined digest of all new templates and posts it to a Telegram chat, or sends an optional all-clear message when no new templates are found. Setup Add an OpenAI API credential and select the model to use for the analysis. Add a Google Sheets OAuth credential, then choose the target spreadsheet and sheet tab and ensure the header columns match the fields being appended. Add a Telegram bot credent
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.
WBuild a sound effect library with Google Sheets, ElevenLabs, Google Drive and Slack
Quick overview This workflow runs manually or every 15 minutes to read queued sound-effect prompts from Google Sheets, generate MP3s via the ElevenLabs sound-generation API, upload them to Google Drive, update each row with status and a file link, and post a run recap to Slack. How it works Runs manually or on a 15-minute schedule. Reads all rows from a Google Sheets tab and selects a capped batch where Status is blank or Queued and Description is present, clamping DurationSeconds and PromptInfluence to valid ranges. Sends each selected Description to the ElevenLabs sound-generation API to generate an MP3 file. Uploads the returned MP3 to a specified Google Drive folder using a deterministic filename based on the sheet row. Updates the matching Google Sheets row to Done with the Google Drive link and timestamp, or to Failed with error notes and timestamp if generation or upload fails. Counts how many rows succeeded or failed in the run and posts a one-line recap message to a selected Slack channel. Setup Add an ElevenLabs HTTP Header Auth credential (xi-api-key) and select it in the ElevenLabs request step. Connect Google Sheets OAuth2 credentials and set the spreadsheet and sheet