HTTP Request workflows
1,200 results — 3 downloadable workflow files, 1,197 source-linked n8n references
WExtract and validate invoice PDFs with OpenAI, Google Sheets, and Gmail
Quick overview This workflow collects an invoice PDF via an n8n Form, extracts text from the PDF, uses OpenAI to convert it into structured invoice JSON, logs invoice headers and line items to Google Sheets, validates totals, and emails a formatted extraction report via Gmail. How it works Receives an invoice submission through an n8n Form that includes the uploader’s name, email address, currency, notes, and a PDF file. Extracts text content from the uploaded PDF. Sends the extracted text to OpenAI (Chat Completions) to return invoice fields and all line items as a strict JSON object. Parses and validates the returned JSON, enriching it with the form metadata and stopping the run if key fields (like invoice number or line items) are missing. Appends a single invoice “header” row to the Invoices tab in Google Sheets. Splits the extracted line items, adds per-line metadata and a unique key, and appends each line item as a row to the Line Items tab in Google Sheets. Aggregates all line items, verifies that their summed totals match the invoice total within a tolerance, builds an HTML report, and emails it to the submitter via Gmail. Setup Add an OpenAI API credential and ensure the O
Generate an FAQ MP3 library from form input with OpenAI TTS, Google Drive, Sheets and Gmail
Quick overview This workflow collects up to five FAQ questions and answers from an n8n Form, converts each entry to an MP3 using OpenAI text-to-speech, uploads the files to Google Drive, logs links in Google Sheets, and emails a summary with listen and download links via Gmail. How it works Receives an n8n Form submission containing the requester’s email, a FAQ category, and up to five question-and-answer pairs. Splits the submitted FAQ pairs into individual items, generating a TTS script and a safe MP3 filename for each valid question and answer. Calls the OpenAI Audio Speech API (tts-1) to generate an MP3 file for each FAQ script. Uploads each generated MP3 to a specified Google Drive folder. Builds Google Drive view and direct-download URLs for each uploaded file and appends the FAQ details and links to a Google Sheets tab. Aggregates all processed FAQs into a single HTML summary and sends it to the submitter via Gmail with listen and download links. Setup Add an OpenAI API credential for the HTTP request to the OpenAI Audio Speech endpoint. Create (or choose) a Google Drive folder for the audio files, connect Google Drive OAuth2, and replace YOUR_AUDIO_FOLDER_ID with the target
Trigger Coolify deployments from new Docker Hub and GHCR image digests
Quick overview 🔄 Monitor Container Images from Docker Hub or GHCR. This workflow checks Docker Hub or GitHub Container Registry (GHCR) image tags for new digests. When an update is detected, it calls your Coolify API to restart the mapped service so the latest image is deployed. How it works Runs on a schedule to check for new image versions automatically. Loads configured Docker Hub image tags and their matching Coolify service UUIDs, then checks Docker Hub for each tag’s current digest. Skips Docker Hub digests already seen in previous workflow executions and prepares standardized metadata for any new digests. Loads configured GHCR image tags and their matching Coolify service UUIDs, fetches a GHCR auth token, and then retrieves each tag’s current OCI digest from the response headers. Skips GHCR digests already seen in previous workflow executions and prepares standardized metadata for any new digests. Combines new updates from both registries and calls the Coolify “restart service” endpoint for each matching service UUID (with latest image enabled). Setup Add an HTTP Bearer Auth credential for your Coolify API token and replace https://your-coolify-instance.com and the endpoint
WLog Strava zone 2 and 5K test runs to Google Sheets
Quick overview This scheduled workflow pulls your latest running activities from Strava, classifies them as Zone 2 runs or 5K tests based on pace and distance, and writes the formatted results into specific cells in a Google Sheets training log while tracking processed activity IDs. How it works Runs on a daily schedule. Fetches recent activities from the Strava API for the authenticated athlete. Processes each activity to calculate pace (min/km) and routes it into “Zone 2” or “Test Run” based on sport type, duration, pace, and distance rules. Formats the selected activities into sheet-ready fields (date, pace string, moving time, and distance) and labels them as ZONA 2 or TEST 5KM. Reads the target Google Sheets range to find the next available slots and checks an “IDs Registrados” list to avoid reprocessing activities. Updates Google Sheets with the activity details in the appropriate cycle columns and appends new Strava activity IDs to the “IDs Registrados” cell. Setup Connect your Strava OAuth2 credentials and ensure the athlete has permission to read activities. Connect your Google Sheets OAuth2 credentials and update the spreadsheet URL/ID and sheet (tab) selection used for r
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Index and query financial documents with Qdrant and Mistral
Quick Overview This workflow ingests local financial documents into a Qdrant vector database using Mistral Cloud embeddings, keeping the index in sync when files are added, changed, or deleted. How it works Runs when you manually start the workflow (for testing) and sets the working folder path and Qdrant collection name. Routes the run based on whether a file was added, changed, or deleted. For changed or deleted files, searches Qdrant for existing vectors matching the file path and deletes the corresponding points. For added files (and changed files after cleanup), reads the file from disk and prepares a text payload that includes file metadata and contents. Splits the text into chunks, generates embeddings with Mistral Cloud, and inserts the vectors into the specified Qdrant collection. Setup Create a Qdrant API credential in n8n and ensure your Qdrant instance is reachable at the host/port used in the HTTP requests (for example, http://qdrant:6333). Add a Mistral Cloud API key credential for the Mistral embeddings node. Update the folder path in the variables (for example, /home/node/BankStatements) and make sure n8n has filesystem access to that directory. Create (or update) t
BCWScrape Hacker News hiring threads with OpenAI GPT-4o-mini and Airtable
Quick overview This workflow manually runs a scraper that finds the latest Hacker News “Ask HN: Who is hiring?” thread via the Algolia HN Search API, pulls each job comment from the Hacker News Firebase API, uses OpenAI to structure postings into fields, and saves the results to Airtable. How it works Starts when you manually execute the workflow. Queries the Algolia Hacker News Search API for recent “Ask HN: Who is hiring?” stories and keeps only the relevant thread metadata. Filters the results to the most recent thread (created within the last 30 days) and fetches the full thread from the Hacker News Firebase API. Iterates through the thread’s comment IDs, fetching each individual job comment from the Hacker News Firebase API. Extracts and cleans the job text to remove HTML/entities and normalize links and whitespace. Sends the cleaned text to OpenAI (GPT-4o-mini) to extract a structured JSON record (company, title, location, type, salary, description, and URLs). Creates a new record in Airtable for each structured job posting. Setup Add an Airtable credential and set the target base and table in the Airtable create step. Add an OpenAI credential for the GPT-4o-mini chat model.
Detect visual regressions with Apify, Google Gemini, Sheets and Linear
Quick overview This workflow generates baseline website screenshots with Apify, stores them in Google Drive, and logs the file IDs in Google Sheets, then runs scheduled visual regression checks by comparing new screenshots against the baselines with Google Gemini Vision and creating a consolidated Linear issue when changes are detected. How it works Manually starts to backfill missing baselines by reading URLs from Google Sheets that do not yet have a stored base image. For each missing baseline URL, calls Apify’s screenshot actor, downloads the rendered image, uploads it to Google Drive, and updates the matching Google Sheets row with the Drive file ID. Runs weekly on a schedule and reads the list of webpages to test from Google Sheets. For each webpage, downloads the baseline image from Google Drive and captures a fresh screenshot via Apify. Sends both images to Google Gemini (vision) to detect visual differences and returns a structured list of regressions (text, number, image, color, or position). Filters out pages with no detected changes, aggregates the remaining results, and creates a Linear issue containing the regression report. Setup Add an Apify API token as HTTP Query A
Sync Google Drive documents to Pinecone RAG with Google Gemini embeddings
Quick overview This workflow runs on a schedule to sync files from a Google Drive folder into a Pinecone vector index for RAG, extracting text from PDFs, XLSX, Google Docs, and spreadsheets, generating embeddings with Google Gemini, and tracking file state in a Google Sheets log to handle updates and deletions. How it works Runs on a schedule and fetches the current file list from a target Google Drive folder and the existing file log from Google Sheets. Compares Google Drive files with the Google Sheets log to detect new/updated files to ingest and files that were deleted from Drive. For new or updated files, deletes any existing vectors in Pinecone for the file ID, downloads the file from Google Drive, and routes it by MIME type. Extracts text from PDFs, XLSX/Google Sheets, and plain text/Google Docs files and maps the extracted content with file metadata (file ID, name, modified time, and MIME type). Chunks the document text, generates embeddings with Google Gemini, and inserts the resulting vectors and metadata into a Pinecone index. Appends or updates the Google Sheets log with the latest file metadata, and for deleted Drive files it deletes matching vectors in Pinecone and re
WSend daily SEO digest from Google Search Console to Discord with heartbeat alerts
Quick overview This workflow runs daily to pull Google Search Console performance data, log it to Google Sheets, send a daily SEO digest to Discord with day-over-day deltas, and ping an external heartbeat endpoint; if any step errors, it immediately pings the heartbeat service’s /fail endpoint. How it works Runs every day at 08:00 on a schedule trigger. Queries the Google Search Console Search Analytics API for query-level data from two days ago. Aggregates the results into totals (clicks, impressions, average position) and the top queries. Appends the day’s metrics to Google Sheets and reads the sheet to fetch the previous day’s row for comparison. Calculates percentage changes vs yesterday and sends a formatted SEO digest to Discord, including a warning when clicks drop sharply. Posts a success ping with the key metrics to an external heartbeat service (for example, checkilo or Healthchecks.io) so missing runs can be detected. If any node throws an error, an error-triggered branch posts a /fail ping to the heartbeat service with the error message and failing step. Setup Add a Google OAuth2 credential with the https://www.googleapis.com/auth/webmasters.readonly scope and replace t
WSummarize unread Gmail into a daily Slack digest with Claude
Quick overview This workflow runs on a daily schedule, pulls your unread Gmail from the last 24 hours, and uses Anthropic Claude to sort and summarize it by Gmail category — then posts a clean, triage-ready digest to a Slack channel so you can scan your inbox at a glance. How it works Runs automatically on a daily schedule (default 8am). Fetches up to 50 unread emails from Gmail that arrived in the last 24 hours. A Code node combines them into a single prompt block, tagging each message with its Gmail category (Primary, Promotions, Social, Updates, Forums) and flagging multi-message threads. Anthropic Claude turns that into a concise, Slack-ready digest: active threads flagged at the top, Primary mail listed individually with a needs-reply note, and Promotions/Social condensed to a single count. A Code node extracts the summary text from Claude's API response. The digest is posted to your chosen Slack channel. Setup Connect a Gmail OAuth2 credential to the Gmail node, and adjust the search query (e.g. is:unread newer_than:1d) or 50-email limit if needed. Add your Anthropic API key as an HTTP Header Auth credential named x-api-key, used for requests to https://api.anthropic.com/v1/m
WTurn Telegram into a French fitness coach with Claude, OpenAI and Google Sheets
Quick overview This workflow turns a Telegram chat into a French-speaking fitness and nutrition coach that can handle text or voice messages, use Anthropic for responses, log and read training/nutrition data in Google Sheets, and schedule workouts in Google Calendar. How it works Triggers when a new Telegram message is received. Detects whether the incoming message is a voice note and, if so, downloads it from Telegram and transcribes it with OpenAI. Normalizes the user message, chat ID, and current date fields for downstream processing. Uses an Anthropic chat model with short-term session memory to generate a coaching response and decide when to call tools. Reads from and writes to Google Sheets to fetch or update the user profile, log workouts and meals, retrieve daily nutrition totals, and create or update weekly training and nutrition plans. Optionally creates a workout event in Google Calendar when the user asks to schedule a session. Sends the generated response back to the user in Telegram. Setup Create and connect credentials for Telegram, Anthropic, OpenAI (for audio transcription), Google Sheets OAuth2, and Google Calendar OAuth2. Replace YOUR_SHEET_ID_HERE and select the
Create vertical AI videos from web articles with OpenAI, Seedance and Blotato
Quick overview This workflow accepts an article URL from Telegram, extracts the page text, uses OpenAI to generate a Seedance 2.0 video prompt plus platform-specific captions, creates a vertical video via the AtlasCloud Seedance API, then publishes it to TikTok, Instagram, and YouTube through Blotato and confirms back on Telegram. How it works Receives a message in Telegram containing a web article URL. Fetches the web page HTML, strips it to plain text, and truncates the extracted content for prompting. Uses OpenAI to turn the URL and extracted text into a Seedance 2.0 text-to-video prompt plus TikTok and Instagram captions and a YouTube title and description. Submits the generated prompt to the AtlasCloud Seedance 2.0 generateVideo API with the configured duration, resolution, and FPS. Polls the AtlasCloud prediction endpoint on a wait interval until the video status returns completed/succeeded. Publishes the resulting video URL to TikTok, Instagram, and YouTube via Blotato using the generated captions and YouTube metadata. Sends a Telegram confirmation message that includes the video title and the final video URL. Setup Create a Telegram bot with @BotFather, add Telegram credent
Run LDXhub document jobs from one form with StructFlow, RefineLoop, RenderOCR, CastDoc, and ExtractDoc
Quick overview This workflow provides a single n8n form that routes to six LDXhub services (StructFlow, AnalyzeDoc, RefineLoop, RenderOCR, CastDoc, and ExtractDoc) to run one-off document processing jobs and return the generated output file directly to the user. How it works Receives a submission from an n8n Form that collects an LDXhub API key, API host, and the target service. Routes the request to the selected service and fetches available models or engines from the LDXhub gateway using an HTTP request. Collects the remaining service-specific inputs via follow-up forms (for example model/engine selection, prompts/options, file upload, output format, and OCR language where applicable). Filters the available output formats based on the uploaded file’s extension for the conversion-style services. Submits the job to LDXhub (StructFlow, AnalyzeDoc, RefineLoop, RenderOCR, CastDoc, or ExtractDoc) and polls until the result is ready. Returns the processed file as a direct download in the form completion step, or shows an error page if the job fails. Setup Create an LDXhub API key in the LDXhub portal and add an LDXhub API credential in n8n for the LDXhub node. Confirm the LDXhub gateway
Run a multi-tool Telegram AI assistant with Groq Llama 3.3
Quick overview This workflow turns a Telegram bot into a personal assistant J.A.R.V.I.S - powered by Groq (Llama 3.3 70B) and a LangChain agent with chat memory, using tools for web search, weather, news, Wikipedia lookups, calculations, date/time, jokes, and URL reading. How it works Triggers when a new Telegram message is received by your bot. Sends the message text to a LangChain agent running on Groq’s chat model, using the Telegram chat ID to keep a rolling memory of the conversation. When needed, the agent calls external tools such as Tavily (web search), OpenWeatherMap (weather), NewsAPI (news), Wikipedia, JokeAPI, and a URL fetcher to gather or summarize information. For math and date/time questions, the agent runs built-in code tools to compute results or return the current date and time. Returns the agent’s final response to the same Telegram chat. Setup Create a Telegram bot with @BotFather, add a Telegram API credential in n8n, and select it in both the Telegram Trigger and Telegram send-message step. Add a Groq credential in n8n and ensure the Groq chat model is selected in the workflow. Replace placeholders with your API keys: YOUR_TAVILY_API_KEY (Tavily), YOUR_OPENWE
Repurpose content into 5-platform posts with Groq Llama 3.3 and Upload-Post
Quick overview This workflow receives a webhook with either a URL or raw text, uses Groq (Llama 3.3 70B) to analyze and repurpose the content into Instagram, X, LinkedIn, email, and video formats, optionally logs results to Google Sheets, and posts the LinkedIn text to multiple platforms via Upload-Post.com. How it works Receives a POST webhook request containing a single content value that is either a URL or plain text. If the input starts with http, it fetches the page content over HTTP and packages it as cleaned source text; otherwise it uses the provided text as-is. Sends the prepared content to Groq (Llama 3.3 70B) to generate a structured analysis of the core message, key points, audience, tone, and hook angles. Uses Groq again to generate platform-specific outputs (Instagram caption/hashtags, X thread, LinkedIn post, email newsletter, and a short video script) as JSON. Parses the AI JSON, validates character limits for Instagram, LinkedIn, and X, and returns an error response if the output cannot be parsed. On success, appends the generated content and validation warnings to Google Sheets, posts the LinkedIn text to selected social platforms via the Upload-Post.com API, and
Send a daily Microsoft 365 update digest with OpenAI GPT-4o-mini via email
Quick overview This workflow runs daily at 07:00 to pull the latest Microsoft 365, Security & Compliance, and Teams blog RSS posts, uses OpenAI (gpt-4o-mini) to triage and format a prioritized HTML digest, and sends the results to your team via SMTP email. How it works Runs every day at 07:00 on a schedule. Fetches RSS XML from three Microsoft Tech Community feeds (Microsoft 365 Blog, Security & Compliance, and Teams/Microsoft Teams Blog) in parallel. Parses the RSS items, keeps only posts from the last 24 hours, and deduplicates updates by title across all feeds. If no new items are found, sends a “no new updates” email via SMTP. If new items are found, aggregates them into a single formatted list for analysis. Sends the aggregated updates to the OpenAI Chat Completions API (gpt-4o-mini) to assign priority/category/action-required and generate an inline-CSS HTML email body. Emails the generated HTML digest to the configured recipients via SMTP. Setup Create an OpenAI API key and add an HTTP Header Auth credential that sets Authorization: Bearer for the OpenAI request. Add an SMTP credential for the email-sending nodes. Update the fromEmail and toEmail fields in both email actions
Send SAP Business One order and invoice alerts via WhatsApp Cloud API
Quick overview This workflow polls SAP Business One every 15 minutes for newly updated Sales Orders and AR Invoices and sends a formatted alert for each document via the WhatsApp Cloud API, using an n8n Data Table timestamp to prevent duplicate notifications between runs. How it works Runs every 15 minutes on a schedule. Reads the last-checked timestamp from an n8n Data Table and falls back to 15 minutes ago if no value exists. Logs in to the SAP Business One Service Layer and queries the Orders and Invoices OData endpoints for documents updated after the last-checked date. Normalizes the returned records, labels each one as a Sales Order or AR Invoice, and combines them into a single stream. For each new document found, formats a WhatsApp text message with key fields like document number, date, customer, total, currency, and comments. Sends the message through the WhatsApp Cloud API (Meta Graph) and then logs out of SAP Business One. Upserts the current timestamp back into the Data Table so the next run only alerts on newer documents. Setup Provide your SAP Business One Service Layer URL and credentials (CompanyDB, UserName, Password) in the SAP login request and ensure the Orders
Post daily motivational quote images to Telegram with Gemini and HTML to Image
Quick overview This workflow runs daily on a schedule, uses Google Gemini to generate a short motivational quote and author, renders it into an image via htmlcsstoimg.com, and posts the resulting photo to a Telegram channel. How it works Runs once per day at the configured hour using a schedule trigger. Sends a prompt to Google Gemini to generate an original motivational quote and an author name in a strict two-line format. Extracts the quote and author from the Gemini response and falls back to default values if parsing fails. Calls the htmlcsstoimg.com API to render the quote and author into a styled 1080×1080 image using an HTML/CSS template. Sends the generated image URL to Telegram and posts it as a photo to the configured channel. Setup Add Google Gemini (PaLM) API credentials in n8n for the quote generation step. Create a Telegram bot with @BotFather, add it as an admin to your target channel, and connect the bot token as a Telegram credential in n8n. Sign up for an htmlcsstoimg.com API key and set it in the HTTP request header as CLIENT-API-KEY. Replace @your_channel_username with your Telegram channel username and adjust the schedule time and quote prompt as needed.
Publish science newsletter posts from YouTube using Ghost and Google Sheets
Quick overview This workflow turns science keywords from Google Sheets into researched Ghost newsletter posts by discovering and screening YouTube videos with Apify, validating claims using Brave Search, storing sources in Qdrant with Cohere embeddings, drafting content with LLMs, and publishing via a custom Ghost HTTP endpoint. How it works Runs either manually to qualify “FAIR GAME” keywords from Google Sheets or on a schedule to start the automated publishing pipeline. Uses Brave Search with an LLM agent to research each keyword’s current context and writes a structured relevance, domain, and angle assessment back to the Keywords sheet. On schedule, randomly selects an eligible keyword, uses Apify’s YouTube Scraper to fetch recent videos with English transcripts, and appends normalized candidates to the Candidate Videos sheet. Scores each candidate’s virality from views, engagement, channel size, and publish age, marks rows as VIRAL or NOT VIRAL, and archives NOT VIRAL items to an Archive sheet. Reviews VIRAL candidates with an editorial LLM agent to select exactly one evidence-worthy video (or reject all), updates statuses and reasoning in Google Sheets, and archives rejected v
Repurpose YouTube Shorts from Telegram to Facebook, Instagram and TikTok with Apify and OpenAI
Quick overview This workflow listens for a YouTube Short link sent to a Telegram bot, downloads the video metadata and MP4 URL via Apify, generates a repost caption with OpenAI, uploads the video to Blotato, publishes it as a Facebook Reel, Instagram Reel, and TikTok post, then confirms back in Telegram. How it works Triggers when a message containing a YouTube Short URL is received by your Telegram bot. Sends the URL to an Apify YouTube downloader actor to retrieve the Short’s title and direct MP4 format URLs. Selects the best MP4 with audio up to the configured resolution and uploads it to Blotato to get a stable hosted media URL. Uses OpenAI (via the LangChain agent) to generate a short caption from the video title using your caption rules. Publishes the hosted video and generated caption to Facebook (as a Reel), Instagram (as a Reel), and TikTok via Blotato, continuing even if one platform publish fails. Sends a Telegram message confirming the publishes and includes the caption that was used. Setup Create a Telegram bot and add its token as an n8n Telegram credential, then start a chat with the bot so it can receive messages. Add an Apify API token as an n8n HTTP Header Auth cr
Enrich B2B leads with Tavily search, Groq Llama 3.3, and Google Sheets
Quick overview This workflow receives a company name via webhook, runs three Tavily web searches (company info, recent news, and key people), uses Groq (Llama 3.3 70B) to synthesize a structured lead profile, optionally appends the results to Google Sheets, and returns the enriched profile in the webhook response. How it works Receives a POST webhook request containing a company name and an optional domain. Queries the Tavily Search API for company overview details, then searches Tavily again for recent news and key executives/leadership. Sends the combined search results to a Groq LLM agent to generate a sales-ready lead enrichment profile as strict JSON (company details, products, signals, news, pain points, and outreach angles). Parses the AI output, extracts valid JSON if possible, and flattens key fields into a single row-friendly structure. If parsing succeeds, appends the enriched lead data to a Google Sheets spreadsheet and returns the full profile in the webhook response. If parsing fails, returns an HTTP 422 error response with the raw AI output for troubleshooting. Setup Create a Groq API key, add it as an n8n Groq credential, and select it in the Groq LLM node. Create a
Create Seedance 2.0 short videos from Telegram ideas with OpenAI and Blotato
Quick overview This workflow takes a video idea sent via Telegram, uses OpenAI to generate a Seedance 2.0-ready prompt plus platform-specific captions, creates the video through AtlasCloud’s Seedance API, then publishes it to TikTok, Instagram, and YouTube using Blotato and confirms back in Telegram. How it works Receives a video idea as a Telegram message. Uses OpenAI (via an agent) to generate a structured JSON payload containing a Seedance 2.0 text-to-video prompt plus TikTok and Instagram captions and a YouTube title and description. Submits the prompt to AtlasCloud’s Seedance 2.0 video generation API and requests a 5-second video. Polls AtlasCloud every 30 seconds until the video generation status returns completed/succeeded. Extracts the final video URL and pairs it with the generated captions and YouTube metadata. Publishes the video to TikTok, Instagram, and YouTube via Blotato, then sends a Telegram confirmation message. Setup Create a Telegram bot and add Telegram credentials, then ensure the trigger and confirmation nodes use the correct bot and chat settings. Add an OpenAI API credential and select a chat model (configured for gpt-4o-mini) for prompt and caption generat
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
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