Schedule LinkedIn posts with AI content generation and Telegram approval
Overview This workflow automates LinkedIn posts using OpenAI. The prompts are stored in the workflow and can be customized as needed to fit your needs. The workflow uses a combination of a Schedule Trigger, some code that determines what day of the week it is (no posting Friday - Sunday), a prompts node to set your OpenAI prompts, a random selection of a prompt so that you are not generating content that looks repetitive. We send that all to OpenAI API, select a random time, have the final LinkedIn post sent to your Telegram for approval, once approved wait for the correct time slot, and then Post to your LinkedIn account using the LinkedIn node. How it works: Run or schedule the workflow in n8n The automation can be triggered manually or on a custom schedule (excluding weekends if needed). You should customize the prompts in the Prompt Node to suit your needs. A random LinkedIn post prompt is selected Pre-written prompts are rotated to keep content fresh and non-repetitive. OpenAI generates the LinkedIn post The prompt is sent to OpenAI via API, and the result is returned in clean, ready-to-use form. You receive the draft via Telegram. The post is sent to Telegram for quick approval or review. Post is scheduled or published via the LinkedIn Connector Once approved, the workflow delays until the target time, then sends the content to LinkedIn. What's needed: An OpenAPI API key, LinkedIn Account, and a Telegram Account. For Telegram you will need to configure the Bot service. Step-by-Step: Telegram Approval for Your Workflow A. Set Up a Telegram Bot Open Telegram and search for “@BotFather”. Start a chat and type /newbot to create a bot. Give your bot a name and a unique username (e.g., YourApprovalBot). Copy the API token that BotFather gives you. B. Add Your Bot to a Private Chat (with You) Find your bot in Telegram, click “Start” to activate it. Send a test message (like “hello”) so the chat is created. C. Get Your User ID Search for “userinfobot” or use sites like userinfobot in Telegram. Type /start and it will reply with your Telegram user ID. OpenAI powers the LinkedIn post creation Add Your OpenAI API Key: Log in to your OpenAI Platform account: https://platform.openai.com/. Go to API keys and create a new secret key. In n8n, create a new "OpenAI API" credential and paste your API key. Give it a name. Apply Credential to Nodes: OpenAI Message Node Connect your LinkedIn account to the Linked in Node Select your account from the LinkedIn Dropdown box.
By Chad McGreanorAutomate JotForm submissions via HTTP without API keys
This guide explains how to send form data from n8n to a JotForm form submission endpoint using the HTTP Request node. It avoids the need for API keys and works with standard multipart/form-data. --- 📌 Overview With this workflow, you can automatically submit data from any source (Google Sheets, databases, webhooks, etc.) directly into JotForm. ✅ Useful for: Pushing information into a form without manual entry. Avoiding API authentication. Syncing external data into JotForm. --- 🛠 Requirements A JotForm account. An existing JotForm form. Access to the form’s direct link. Basic understanding of JotForm’s field naming convention. --- ⚙️ Setup Instructions Get the JotForm Submission URL Open your form in JotForm. Go to Publish → Quick Share → Copy Link. Example form URL: sample form Convert it into a submission endpoint by replacing form with submit: Example: submit url --- Identify Field Names Each JotForm field has a unique identifier like q3name[first] or q4email. Steps to find them: Right-click a field in your published form → choose Inspect. Locate the name attribute in the <input> tag. Copy those values into the HTTP Request node in n8n. Example mappings: First Name → q3_name[first] Last Name → q3_name[last] Email → q4_email --- Configure HTTP Request Node in n8n Method: POST URL: Your JotForm submission URL (from Step 1). Content Type: multipart/form-data Body Parameters: Add field names and values. Example Body Parameters: json { "q3_name[first]": "John", "q3_name[last]": "Doe", "q4_email": "john.doe@example.com" } --- Test the Workflow Trigger the workflow (manually or with a trigger node). Submit test data. Check JotForm → Submissions to confirm the entry appears. --- 🚀 Use Cases Automating lead capture from CRMs or websites into JotForm. Syncing data from Google Sheets, Airtable, or databases. Eliminating manual data entry when collecting responses. --- 🎛 Customization Tips Replace placeholder values (John, Doe, john.doe@example.com) with dynamic values. Add more fields by following the same naming convention. Use n8n expressions ({{$json.fieldName}}) to pass values dynamically.
By moosa