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3,557 ready-made workflow files you can download, plus 10,661 source-linked n8n references.
WHandle client intake, routing, and confirmations with Claude, Google Sheets, Gmail, and Twilio
Quick overview This workflow hosts an n8n intake form, checks whether the submitted state is in your service area, uses Anthropic Claude to draft confirmation messages and an internal summary, logs requests to Google Sheets, emails via Gmail, optionally sends an SMS via Twilio, and shows the customer a confirmation page. How it works Receives a new client request through an n8n-hosted form submission. Normalizes the submitted details (name, email, phone, state, request type, description, and SMS consent) and generates a timestamp and reference number. Checks whether the submitted state is included in your configured served-area list. For in-area requests, sends the intake details to Anthropic Claude and parses the returned JSON into a customer email message, customer SMS message, internal summary, category, priority, and missing-info list. Appends the request to Google Sheets, emails the intake team and the customer via Gmail, and sends an SMS confirmation via Twilio only when the customer opted in. For out-of-area requests, appends the submission to a Google Sheets waitlist and shows the customer a waitlist message. Setup Customize the n8n Form Trigger fields and text to match you
Generate gender-aware email greetings with OpenAI and KlickTipp
Quick overview This workflow triggers when a contact is tagged in KlickTipp, uses OpenAI to estimate gender from the contact’s first name or to extract a name from the email address, and then writes an HTML greeting (Lieber/Liebe/Hallo) back to a KlickTipp custom field. How it works Triggers when a contact is tagged in KlickTipp. If the contact already has a first name, OpenAI estimates the most likely gender and a confidence score from that first name. If the first name is missing but an email address exists, OpenAI extracts a first and last name from the email address, estimates gender, and returns confidence scores. If the gender confidence is below 85%, the workflow selects a neutral greeting (Hallo {first name},) and updates the KlickTipp contact. If the gender confidence is 85% or higher, the workflow chooses a gendered greeting (Liebe/Lieber {first name},) and updates the KlickTipp contact. When a name was extracted from the email address, the workflow also writes the parsed first name and conditionally updates the last name in KlickTipp if its confidence is high. Setup Create a KlickTipp tag that triggers this workflow and configure the KlickTipp trigger/webhook to fire whe
Create Veo 3.1 Fast AI shorts from Telegram with AtlasCloud, OpenAI and Blotato
Quick overview This workflow turns a Telegram message into a short AI-generated video using AtlasCloud (Google Veo 3.1 Fast), generates an SEO-friendly title with OpenAI, publishes the video to YouTube and TikTok via Blotato, and sends a confirmation back to Telegram. How it works Triggers when you send a new message to your Telegram bot with a video idea. Sets the Veo model, video duration, and prompt based on the Telegram message. Starts video generation on AtlasCloud and polls the render status every 30 seconds until it completes. Uses OpenAI (GPT-4o-mini) to generate a short, SEO-friendly title in the same language as the prompt. Publishes the rendered video URL and generated title to YouTube via Blotato. Publishes the same video and title to TikTok via Blotato and sends a Telegram confirmation with the title and video URL. Setup Create a Telegram bot with BotFather and add Telegram credentials, then start a chat with the bot so it can receive messages. Add an AtlasCloud API key as HTTP Header Auth and ensure the AtlasCloud endpoints are reachable for both the create and status requests. Add an OpenAI API key for the title generation step. Install and enable the Blotato communi
Verify emails and phone numbers in Google Sheets with ApexVerify
Quick overview This workflow watches a Google Sheets lead list and uses ApexVerify to verify new or changed email addresses and phone numbers, then writes the verification status back into the same sheet. How it works Triggers when a row is added or updated in a specified Google Sheets worksheet. Checks whether the Email cell already contains a verification marker ("|||"), and only proceeds if it has not been verified yet. Sends the email address to ApexVerify for email verification and formats the result as an icon status plus the original email (for example, "✅ ||| [email protected]"). Updates the originating Google Sheets row with the formatted email verification result. Checks whether the Phone Number cell already contains a verification marker ("|||"), and only proceeds if it has not been verified yet. Sends the phone number (with target country set to FR) to ApexVerify for phone verification and formats the result as an icon status plus the original number. Updates the originating Google Sheets row with the formatted phone verification result. Setup Connect Google Sheets OAuth credentials for both the Google Sheets Trigger and the Google Sheets update action, and select your sp
Evaluate AI prompts with OpenRouter LLM-as-judge and Notion reports
Quick overview This workflow collects a prompt and model choice via an n8n Form, uses OpenRouter LLMs to generate an evaluation dataset, run the prompt against each test case, and grade the responses, then saves per-item results and a synthesized one-line report to Notion. How it works Receives prompt, dataset size, and target model input from an n8n Form submission. Uses OpenRouter (via LangChain) to generate a JSON evaluation dataset with categorized questions and difficulty distribution. Iterates through each evaluation question and calls the selected OpenRouter model using the submitted prompt as the system message to produce an answer. Sends each answer to a separate OpenRouter grader model that returns a JSON score plus strengths, weaknesses, and reasoning. Saves each graded evaluation item as a new page in a Notion database. Aggregates all graded items and uses an OpenRouter synthesis model to produce a concise overall evaluation line, then saves it as a Notion page under a specified parent page. Setup Add an OpenRouter API credential in n8n and ensure the models referenced in the form and LLM nodes are available to your OpenRouter account. Add a Notion integration credentia
WEnrich Google Maps business leads with Apify and Google Sheets
Quick overview This workflow runs on demand to scrape Google Maps business leads with Apify, optionally fetches each business website to extract an email address, and appends the enriched lead data to a Google Sheets spreadsheet. How it works Starts manually and loads the Apify API key, Google Maps search query, max results, and target Google Sheets spreadsheet ID. Launches the Apify Google Places scraper run for the provided search query and stores the returned run ID and dataset ID. Polls Apify until the actor run status is SUCCEEDED, waiting and retrying until results are ready. Downloads the scraped business items from the Apify dataset and processes them one business at a time. If a business has a website, requests the site HTML and extracts the first valid email address found; otherwise it keeps the email blank. Appends each enriched lead (name, email, phone, rating, address, review count, and website) as a new row in Google Sheets. Setup Add your Apify API token and replace the placeholder value in the configuration step. Connect Google Sheets credentials in n8n and set the target spreadsheet ID (and sheet name if not Sheet1). Update the Google Maps search query and max resu
Transcribe and analyze sales meetings with Deepgram, Gemini, GHL, Slack & Gmail
Quick overview Youtube Video: https://youtu.be/GNAplBWdCDE?si=TjojVTZX7ViiRUiG This workflow receives meeting voice recording via webhook, transcribes it with Deepgram, and uses Gemini to extract client details and next-step tasks. It then updates GoHighLevel, posts a task summary to Slack, emails the client their action items via Gmail, and logs the meeting to Sheets. How it works Receives a POST webhook request containing a meeting ID, attendee email, meeting date/time, and an audio file. Looks up the contact in GoHighLevel by email and creates/updates the contact if it does not already exist. Checks Google Sheets for the meeting ID and only continues if no existing row is found. Sends the audio binary to Deepgram to transcribe the recording with speaker diarization and utterances enabled. Formats the transcript and sends it to a Google Gemini–powered agent that returns structured JSON with client identification and task lists. Creates a GoHighLevel task with the extracted service-provider tasks, posts the task summary to Slack, and emails the client their tasks via Gmail. Appends the meeting details, extracted company name, and action items to Google Sheets and returns a webhook
Generate personalized financial plans with Google Gemini, Sheets, Drive and Gmail
Quick overview This workflow receives income and financial-goal data via webhook, stores enriched metrics in Google Sheets, generates a tailored plan with Google Gemini, converts it to a PDF via PDFShift, uploads it to Google Drive, and emails the result using Gmail. How it works Receives a POST webhook request containing an Income value and a Goal string. Normalizes the incoming fields and validates that income is non-negative and the goal is not empty, returning a webhook error response if validation fails. Calculates a timestamp, a recommended monthly saving amount (20% of income), and an income category (Low/Mid/High), then appends the record to Google Sheets. Routes the request by income category and uses Google Gemini (PaLM) to generate a personalized financial plan with category-specific guidance. Builds an HTML report that includes the user’s inputs and the Gemini-generated plan, then converts the HTML to a PDF using the PDFShift API and fetches the generated file. If the PDF is created successfully, uploads it to Google Drive, emails the PDF and Drive link via Gmail, and returns the HTML report in the webhook response. If PDF generation fails, returns a JSON error response
Score job listings and generate tailored cover letters with Apify, OpenAI and Google Sheets
Quick overview This workflow runs on a schedule to scrape job listings via Apify (Google Jobs and Career Site API), scores each role against your base resume using OpenAI, generates tailored cover letter and optionally a tailored resume in Google Docs, and logs the results to Google Sheets with Gmail error alerts. How it works Runs on a schedule (with an optional manual test trigger) and loads your search query and Google IDs from the configured variables. Uses Apify actors to scrape jobs from Google Jobs and the Career Site API, then normalizes and merges both result sets into a single list. Processes jobs in batches and skips listings that already exist in Google Sheets (matched by Apply URL), have no apply link, have short descriptions, or don’t meet the seniority criteria. Fetches your base resume from Google Docs and sends the resume plus job details to OpenAI to score relevance from 1–10 with a one-sentence rationale. For jobs scoring 7+, uses OpenAI to generate a personalized cover letter from the job description and your resume. For jobs scoring 8+, uses OpenAI to tailor your resume, saves it as a new Google Doc in your Drive folder, and makes the document publicly readable
Schedule approved Notion content calendar posts with Posta
Quick Overview This workflow runs every 15 minutes to fetch approved items from a Notion content calendar, creates and schedules matching posts in Posta for the specified time, and then updates the Notion database row with the Posta post URL and a Scheduled status. How it works Runs every 15 minutes on a schedule trigger. Retrieves all pages from a specified Notion database. Processes each returned Notion row one by one, using the Caption, Scheduled At, Social Account IDs, and optional Media IDs fields. Creates a post in Posta for the selected social accounts and attaches any referenced media IDs. Schedules the Posta post for the Notion row’s Scheduled At timestamp (converted to UTC). Updates the original Notion page by setting Status to Scheduled and writing back the Posta post URL. Setup Create a Notion integration, share your content calendar database with it, and connect the Notion credentials in n8n. Add your Posta API token as Posta credentials in n8n. Set the Notion database ID/URL in the Notion database read step to point to your content calendar. Ensure your Notion database includes the required properties (Caption, Status, Scheduled At, Social Account IDs, optional Media
Notify and manage podcast edit status with WizCut and Slack
Quick overview This workflow listens for WizCut job status webhooks and routes updates to Slack, prompting a speaker-to-camera mapping review, automatically starting the final render when cuts are ready, and notifying your team with the finished episode download link when rendering completes. How it works Receives a webhook event from WizCut whenever a job status changes. Checks the incoming payload status and routes it to the matching handling path. When the status is "mapping", posts a Slack message listing detected speakers and a link to review and map speakers to cameras in WizCut. When the status is "ready", calls the WizCut API to start rendering the final episode output for the job. When the status is "complete", posts a Slack message with the rendered episode download link. Setup Add your WizCut API credentials in n8n (get an API key from wizcut.com). Add your Slack credentials and set the target channel (for example, #podcast-production) in the two Slack message steps. Copy the WizCut Trigger webhook URL from n8n and pass it as the callbackUrl when you create WizCut jobs so status updates are sent to this workflow. Requirements A WizCut account with an API key (from wizcut
Draft and review SEO WordPress articles with multi-agent LLMs and Slack
Quick overview This workflow accepts an article brief via webhook, routes it through a three-stage LLM pipeline to research, draft, and review HTML content, optionally generates a featured image with Google Imagen, then creates a WordPress draft post with tags and Rank Math SEO metadata and sends an optional Slack notification. How it works Receives a POST webhook request with a required prompt (and optional category, tone, and style overrides) and optionally validates a Bearer token. A researcher agent calls the LLM sub-workflow to produce a structured JSON outline, including title, H2 sections, tags, focus keyword, and image subject. Optionally starts the generation of a 16:9 featured image in parallel using Imagen 4 and the outline's image subject. The default option for whether this is enabled (set in CONFIG), can be overridden per run in the request prompt. Optionally fetches recent published WordPress posts and selects up to five relevant URLs to use as internal links. A writer agent drafts the full HTML article body based on the outline (and internal links), tone guide, and style guide from CONFIG. A reviewer agent edits the draft for voice, accuracy, and structure, then ret
Proxy OpenAI-style chat completions to Gemini with async webhooks
Quick overview This workflow exposes an OpenAI-compatible /v1/chat/completions endpoint in n8n that forwards requests (including optional file attachments) to a configurable LLM HTTP provider, supporting both synchronous replies and asynchronous processing via a callback URL. How it works Receives a POST request on /v1/chat/completions via a webhook, accepting JSON or multipart form-data with optional binary file uploads. Converts any uploaded files into OpenAI-style message content (images as image_url data URLs and other files as text entries) and merges them into the last user message. Prepares a job ID, extracts optional callback and provider override settings (URL and headers), and keeps the original request body for later use. If a callback URL is provided, immediately returns HTTP 202 with the job ID, then sends the request (without callback/provider fields) to the configured LLM provider endpoint. Formats the provider response (or error) into a completion payload with a status code and posts the result to the callback URL with job metadata. If no callback URL is provided, sends the request to the LLM provider synchronously and returns the provider response (or error) to the
Send GitHub release audio newsletters with OpenAI, Google Drive, Gmail and Sheets
Quick overview This workflow triggers on a published GitHub Release, uses OpenAI to turn the release notes into a short spoken script and MP3, stores the audio on Google Drive, pulls subscribers from Google Sheets, and sends an HTML “listen” newsletter to them via Gmail. How it works Triggers when a GitHub Release is published for the configured repository. Parses and cleans the release changelog, extracting key items into features, fixes, improvements, and other notes. Uses an OpenAI chat model to rewrite the release details into a 60–90 second spoken script. Calls the OpenAI text-to-speech API to generate an MP3 audio file from the script. Uploads the MP3 to Google Drive and sets the file permissions to “anyone with the link can view.” Loads subscriber email addresses from Google Sheets, builds an HTML newsletter with the public audio link and release highlights, and sends it via Gmail using BCC. Setup Connect a GitHub credential with access to the target repo and replace YOUR_GITHUB_USERNAME and YOUR_REPO_NAME in the GitHub trigger. Add an OpenAI API credential for both the chat model step and the OpenAI TTS HTTP request. Connect Google Drive OAuth2 and replace YOUR_AUDIO_FOLDER
WDiscover and score engineering candidates with Groq, GitHub, LinkedIn, Stack Overflow, HN and Supabase
Quick Overview This workflow exposes a POST webhook that turns a job description into a structured hiring brief using Groq, searches candidates across GitHub, LinkedIn (via Apify), Stack Overflow, and Hacker News, scores and summarizes the shortlist, optionally saves results to Supabase, and returns a JSON response. How it works Receives a candidate search request via a POST webhook and normalizes the payload into a consistent schema. Validates that the request includes a job description or structured criteria, and returns a 400 JSON error if it is invalid. Uses Groq (via LangChain) to extract structured job requirements, then builds a search brief with queries and limits for each source. Searches GitHub, LinkedIn via Apify, Stack Overflow, and Hacker News in parallel and normalizes each source’s results into a common candidate format. Merges all candidates, sanitizes and deduplicates the pool, and returns an empty 200 response if no candidates remain. Scores candidates with a deterministic evidence formula, filters by the configured score threshold, and builds a recruiter-facing JSON report. Uses Groq (via LangChain) to generate an AI shortlist summary, attaches it to the report,
WProcess Jellyfin media requests with Google Sheets, Radarr, Sonarr, and Gmail
Quick overview This workflow monitors a Google Sheets-based media request form and automatically routes requests to Radarr (movies) or Sonarr (TV shows) via their APIs, then emails the requester through Gmail once the matching title is added for download. How it works Triggers every 5 minutes when a new row is added to a specified Google Sheets worksheet. Checks the “Request Type” field and routes the request to either the movie (Radarr) path or the TV show (Sonarr) path. Searches Radarr or Sonarr for the requested “Title of Media” using the lookup API endpoint. Filters the lookup results in JavaScript to pick the best matching title, prioritizing English originals and (for TV) allowing exact-title matches to support dubbed/anime requests. Submits the selected movie or series to Radarr or Sonarr with a defined quality profile, root folder path, and an automatic search for downloads. Sends a Gmail notification to the email address from the Google Form submission confirming the request is being downloaded. Setup Connect Google Sheets credentials and set the Spreadsheet (documentId) and worksheet (sheetName) used by your Google Form responses. Add HTTP Header Auth credentials for Rada
Send a daily RSS news digest email with Gmail
Quick overview Automatically combine any number of RSS feeds into one daily HTML email digest with deduplication and a configurable time window. How it works Runs daily on a cron schedule (default 8:00 AM). Generates a list of RSS feed URLs and digest settings (recipient email, lookback window, and max article count). Fetches the latest items from each RSS feed URL. De-duplicates articles, keeps only items published within the configured lookback window, sorts by publish date, and limits the list to the maximum article count. Stops if no articles remain after filtering to avoid sending an empty email. Builds an HTML email with the selected articles and sends it to the configured recipient using Gmail. Setup Add a Gmail OAuth2 credential and select it in the Gmail email-sending step. Update the recipient email address and RSS feed URLs in the configuration code, and optionally adjust HOURS_BACK and MAX_ARTICLES. Confirm or change the schedule cron expression to match your preferred send time, then activate the workflow. Requirements n8n Cloud or self-hosted n8n instance Gmail account with OAuth2 credentials configured in n8n Customization Add or remove RSS feed URLs in the Configure
Draft Gmail reply drafts automatically with Google Gemini
Quick overview This workflow watches for new Gmail messages, uses Google Gemini to draft a concise reply based on the email content, and saves the response as a Gmail draft in the original thread for you to review before sending. How it works Triggers every minute when a new email is received in Gmail. Sends the email subject, sender, and snippet to Google Gemini with instructions to write a professional reply under 100 words matching the sender’s tone. Creates a Gmail draft containing the generated reply and sets the subject to “Re:” while attaching it to the original email thread. Setup Connect a Gmail OAuth2 credential and ensure the trigger has access to the inbox you want to monitor. Add a Google Gemini (PaLM) API credential for the Gemini chat model. Review the reply prompt and the Gmail trigger polling interval, then activate the workflow. No additional setup is required the workflow is ready to run as soon as both credentials are connected.
Generate dividend income reports via Telegram with Google Gemini
Quick overview This workflow listens for Telegram messages, validates the sender, parses an investment amount and risk strategy, builds a predefined dividend ETF/stock allocation, calculates estimated yield and income, and uses Google Gemini to format a concise portfolio report that it sends back in Telegram. How it works Triggers when a new Telegram message is received. Checks the Telegram chat ID against an allowlist to ensure only an approved user can run the workflow. Parses the message text into investment capital and a strategy (conservative, moderate, or aggressive) and sends a Telegram “typing” action while processing. Builds a strategy-based portfolio from predefined tickers and allocations, enriches each holding with preset dividend yield and risk values, and calculates invested amount plus monthly and annual income per holding. Aggregates the holdings into a single portfolio summary with total income and overall portfolio yield. Uses Google Gemini via an AI Agent prompt to generate a Telegram-ready report based strictly on the calculated portfolio data. Sends the formatted DividendIQ report back to the configured Telegram chat. Setup Create a Telegram bot with @BotFather
Send a weekly Plausible analytics digest to Telegram chat
Quick Overview This workflow runs every Monday (or manually) to query Plausible Analytics for top pages, new referrers, and potential content decay, then formats a weekly digest and sends it to a Telegram chat. How it works Runs every Monday at 8:00 AM or starts on demand via a manual trigger. Sets the Plausible site ID, Plausible base URL, and the target Telegram chat ID. Queries the Plausible API for the last 7 days’ top pages and prepares a top-5 list by visitors. Queries Plausible for referrers for the last 7 days and the previous week, then identifies referrers that appear this week but not last week. Queries Plausible for per-page visitors for the last 7 days and for a week 4 weeks ago, then flags pages with significant traffic drops. Combines the insights into a Markdown message and sends the digest to Telegram. Setup Add a Plausible API key as an HTTP Bearer Auth credential and ensure the workflow points to your Plausible instance URL. Update the workflow variables with your Plausible site_id, plausible_url, and the destination telegram_chat_id. Add Telegram credentials and ensure the bot can post to the target chat (start a chat with the bot or add it to the group). Adjust
Track expenses from phone notifications with Google Gemini and Google Sheets
Quick overview This workflow receives phone push notification through FlowTrigger mobile app, extracts the transaction amount and date, uses Google Gemini to categorize the expense and adds it to a Google Sheets transactions log. How it works Receives a POST webhook request containing a captured notification payload from FlowTrigger mobile app. Parses the notification data and skips the flow if no amount is detected in the notification payload. Sends the notification title and body to Google Gemini and parses a structured response with cleaned merchant name, expense category, reasoning, and ISO currency code. Appends the date, amount, category, currency, and merchant to a selected Google Sheets tab. Returns a success response with the saved fields, or an error response if the AI categorization or Google Sheets write fails. Setup Create and connect a Google Gemini API key credential for the Google Gemini Chat Model. Create and connect a Google Sheets OAuth2 credential, then set the Google Sheets Document ID and Sheet Tab Name in the Google Sheets append step. Activate the workflow, copy the Webhook production URL from the Webhook trigger, and paste it into FlowTrigger’s Notification
Qualify Product Hunt leads with Google Gemini, Apify, and Google Sheets
Quick overview Youtube Video: https://youtu.be/h47YeiivZvs?si=V-S1X-ME5V24Tuch This workflow runs daily to pull the latest Product Hunt posts, qualifies them with Google Gemini, scrapes ICP-matching product websites with Apify to find emails, then writes the lead data to Google Sheets and creates contacts in GoHighLevel. How it works Runs every day on a schedule trigger. Queries the Product Hunt GraphQL API for the latest posts and iterates through each result. Resolves each product’s website redirect target, extracts a clean domain, and filters out blocked domains like app stores, social networks, and link aggregators. Sends the product name, tagline, and description to a Google Gemini–powered agent to score ICP fit and keeps only matches. Uses Apify to crawl each matched website and extract email addresses from the site content. Groups scraped results by domain, keeps only products with at least one email, and appends or updates a matching row in Google Sheets. Creates a GoHighLevel contact using the first email and stores any additional emails in a custom field. Setup Add Product Hunt OAuth2 credentials and ensure the GraphQL query in the Product Hunt request returns the fields
Enrich and route inbound leads using You.com, Groq, Notion, and Slack
Quick overview This workflow receives inbound lead details via webhook, enriches the company using You.com search and website content extraction, generates a one-page profile and fit score with Groq, then routes hot leads to Slack, logs all leads to Notion, and returns the enriched result in the webhook response. How it works Receives a POST webhook request containing a company name and/or domain and normalizes the input into consistent fields. Rejects the request with a 400 response if neither a company name nor a domain is provided. Uses You.com Web Search to gather recent company signals (for example funding, news, and leadership changes) and resolves a best-guess company URL. Uses You.com Content Extraction to pull website content and combines the search signals and site content into a single enrichment context. Uses Groq (Llama 3.3 70B) to generate a concise one-page company profile and then scores the lead against the defined fit criteria with structured output. If the fit score meets or exceeds the hot-lead threshold, posts an alert message to a selected Slack channel with an @mention. Logs the lead, fit score, tier, and profile summary to a Notion database and returns the f
Extract meeting insights from transcripts with OpenAI, Google Sheets and ClickUp
Quick Overview This workflow collects a meeting transcript via an n8n Form, uses OpenAI (ChatGPT) to extract structured meeting intelligence, logs the results to Google Sheets, creates one ClickUp task per action item, and emails an HTML meeting brief via Gmail. How it works Receives a form submission containing the meeting title, date, participants, duration, and full transcript. Validates the input (including a minimum transcript length), calculates counts, and generates a unique meeting ID. Sends the meeting context and transcript to an OpenAI ChatGPT model to extract a strict JSON payload with summary, topics, decisions, action items, risks, follow-up date, and sentiment. Parses and normalizes the AI JSON output, then formats readable strings and metrics for reporting. Appends the full meeting record to a Google Sheets “Meetings” tab. Splits the extracted action items and creates a ClickUp task for each valid item, including owner, priority, and due date when provided. Sends a formatted HTML meeting brief to the configured team email address using Gmail. Setup Add an OpenAI credential in the OpenAI Chat Model node and select the model to use. Connect Google Sheets OAuth2, repla