This template is based on the following template. Thank you for the groundwork, Matheus. How it works: Store your snippets of text in a Notion table. Each snippet should have an image associated with it (copy + pasted into the text) Connect to your table via a Notion "integration", from which N8N can then query your pre-meditated posts The text is fed through an OpenAI assistant to boost engagement via formatting The re-formatted text along with the image pulled from the Notion snippet are combined into a post for your LinkedIn The row in the original Notion table from step 1 containing this post is set to a status of "Done" Set up steps: You will need to create a Notion "integration", which will yield a "secret key" which you enter into your N8N as a "Credential". You will need to create a LinkedIn "app" in order to post on your behalf. When creating your LinkedIn "app", you will be required to link this "app" to a company page on LinkedIn. If you are doing this for yourself, seach for the "Default Company Payge (for API testing)", and select this page as it is provided by LinkedIn for individuals.
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Sort Gmail leads, meetings, and trash with OpenAI classification
Quick Overview This workflow monitors Gmail for new messages, applies rule-based pre-classification, and uses OpenAI to categorize ambiguous emails as lead, review, or trash, then applies Gmail labels and schedules automatic deletion for trash threads. How it works Triggers every 5 minutes when a new Gmail message is received. Fetches the full email content from Gmail and extracts key fields like sender, subject, body, and thread ID. Applies deterministic rules to classify emails as team, meeting, website form, trash (bulk/OTP), or unknown. Adds Gmail labels for team and meeting emails, and skips processing for website form submissions. Sends only unknown emails to OpenAI for classification into LEAD, REVIEW, or TRASH and parses the returned JSON safely. Labels lead and review emails in Gmail, and for trash emails calculates a deletion timestamp, labels them as pending deletion, waits until that time, and then moves the entire Gmail thread to trash. Setup Connect a Gmail OAuth2 credential and ensure the trigger and Gmail actions point to the correct mailbox. Add an OpenAI API credential and select a model in the OpenAI classification step. Replace the placeholder Gmail label IDs (T
Triage Gmail and draft email replies with OpenAI, Slack, and Google Sheets
Quick overview This workflow polls your Gmail inbox every 15 minutes, uses OpenAI to classify unread emails as URGENT, STANDARD, or SPAM, drafts reply emails for non-spam messages, posts a review notification to Slack, and logs spam messages to Google Sheets. How it works Runs every 15 minutes on a schedule and fetches up to 20 unread messages from your Gmail Inbox. Marks each fetched Gmail message as read and extracts key fields (sender, subject, snippet, body text, thread ID) for processing. Sends the email content to OpenAI to return a strict JSON classification (category, action label, priority note, and suggested subject). Routes SPAM messages to Google Sheets to append a row in a “Spam Log” sheet and stops further processing for those emails. Sends URGENT and STANDARD messages to OpenAI to generate a concise, plain-text reply draft in your writing style. Saves the generated reply as a Gmail draft in the original thread and posts a Slack message with the triage details so you can review and send. Setup Connect a Gmail OAuth2 credential and ensure the workflow has access to read Inbox messages, mark them as read, and create drafts. Add an OpenAI credential and customize the two
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Scrape and summarize webpages with AI
This workflow integrates both web scraping and NLP functionalities. It uses HTML parsing to extract links, HTTP requests to fetch essay content, and AI-based summarization using GPT-4o. It's an excellent example of an end-to-end automated task that is not only efficient but also provides real value by summarizing valuable content. Note that to use this template, you need to be on n8n version 1.50.0 or later.