Telegram AI chatbot
The workflow starts by listening for messages from Telegram users. The message is then processed, and based on its content, different actions are taken. If it's a regular chat message, the workflow generates a response using the OpenAI API and sends it back to the user. If it's a command to create an image, the workflow generates an image using the OpenAI API and sends the image to the user. If the command is unsupported, an error message is sent. Throughout the workflow, there are additional nodes for displaying notes and simulating typing actions.
By EduardChatGPT Automatic Code Review in Gitlab MR
Who this template is for This template is for every engineer who wants to automate their code reviews or just get a 2nd opinion on their PR. How it works This workflow will automatically review your changes in a Gitlab PR using the power of AI. It will trigger whenever you comment with +0 to a Gitlab PR, get the code changes, analyze them with GPT, and reply to the PR discussion. Set up Steps Set up webhook of note_events in Gitlab repository (see here on how to do it) Configure ChatGPT credentials Note "+0" in MergeRequest to trigger automatic review by ChatGPT
By assertQualifying appointment requests with AI & n8n forms
This n8n template builds upon a simple appointment request form design which uses AI to qualify if the incoming enquiry is suitable and/or time-worthy of an appointment. This demonstrates a lighter approach to using AI in your templates but handles a technically difficult problem - contextual understanding! This example can be used in a variety of contexts where figuring out what is and isn't relevant can save a lot of time for your organisation. How it works We start with a form trigger which asks for the purpose of the appointment. Instantly, we can qualify this by using a text classifier node which uses AI's contextual understanding to ensure the appointment is worthwhile. If not, an alternative is suggested instead. Multi-page forms are then used to set the terms of the appointment and ask the user for a desired date and time. An acknowledgement is sent to the user while an approval by email process is triggered in the background. In a subworkflow, we use Gmail with the wait for approval operation to send an approval form to the admin user who can either confirm or decline the appointment request. When approved, a Google Calendar event is created. When declined, the user is notified via email that the appointment request was declined. How to use Modify the enquiry classifier to determine which contexts are relevant to you. Configure the wait for approval node to send to an email address which is accessible to all appropriate team members. Requirements OpenAI for LLM Gmail for Email Google Calendar for Appointments Customising this workflow Not using Google Mail or Calendar? Feel free to swap this with other services. The wait for approval step is optional. Remove if you wish to handle appointment request resolution in another way.
By Jimleuk🛻 AI agent for logistics order processing with GPT-4o, Gmail and Google Sheet
Tags: Supply Chain, Logistics, AI Agents Context Hey! I’m Samir, a Supply Chain Data Scientist from Paris, and the founder of LogiGreen Consulting. We design tools to help companies improve their logistics processes using data analytics, AI, and automation—to reduce costs and minimize environmental impacts. >Let’s use N8N to improve logistics operations! 📬 For business inquiries, you can add me on LinkedIn Who is this template for? This workflow template is designed for logistics or manufacturing operations that receive orders by email. [](https://www.youtube.com/watch?v=kQ8dO_30SB0) The example above illustrate the challenge we want to tackle using an AI Agent to parse the information and load them in a Google sheet. If you want to understand how I built this workflow, check my detailed tutorial: [](https://www.youtube.com/watch?v=kQ8dO_30SB0) 🎥 Step-by-Step Tutorial How does it work? The workflow is connected to a Gmail Trigger to open all the emails that include Inbound Order in their subject. The email is parsed by an AI Agent equipped with OpenAI's GPT to collect all the information. The results are pulled in a Google Sheet. [](https://www.youtube.com/watch?v=kQ8dO_30SB0) These orderlines can then be transferred to warehouse teams to prepare *order receiving. What do I need to get started? You’ll need: Gmail and Google Drive Accounts with the API credentials to access it via n8n An OpenAI API key (GPT-4o) for the chat model. A Google Sheet with these columns: PONUMBER, EXPECTEDDELIVERY DATE, SKU_ID, QUANTITY Next Steps Follow the sticky notes in the workflow to configure each node and start using AI to support your logistic operations. 🚀 Curious how N8N can transform your logistics operations? 📬 Let’s connect on LinkedIn Notes An example of email is included in the template so you can try it with your mailbox. This workflow was built using N8N version 1.82.1 Submitted: March 28, 2025
By Samir SaciLinkedIn profile finder via form using Bright Data & GPT-4o-mini
This n8n workflow template automates the process of finding LinkedIn profiles for a person based on their name, and company. It scrapes Google search results via Bright Data, parses the results with GPT-4o-mini, and delivers a personalized follow-up email with insights and suggested outreach steps. 🚀 What It Does Accepts a user-submitted form with a person’s full name, and company. Performs a Google search using Bright Data to find LinkedIn profiles and company data. Uses GPT-4o-mini to parse HTML results and identify matching profiles. Filters and selects the most relevant LinkedIn entry. Analyzes the data to generate a buyer persona and follow-up strategy. Sends a styled email with insights and outreach steps. 🛠️ Step-by-Step Setup Deploy the form trigger to accept person data (name, position, company). Build a Google search query from user input. Scrape search results using Bright Data. Extract HTML content using the HTML node. Use GPT-4o-mini to parse LinkedIn entries and company insights. Filter for matches based on user input. Merge relevant data and generate personalized outreach content. Send email to a predefined address. Show a final confirmation message to the user. 🧠 How It Works: Workflow Overview Trigger: When User Completes Form Search: Edit Url LinkedIn, Get LinkedIn Entry on Google, Extract Body and Title, Parse Google Results Matching: Extract Parsed Results, Filter, Limit, IF LinkedIn Profile is Found? Fallback: Form Not Found if no match Company Lookup: Edit Company Search, Get Company on Google, Parse Results, Split Out Content Generation: Merge, Create a Followup for Company and Person Email Delivery: Send Email, Form Email Sent 📨 Final Output An HTML-styled email (using Tailwind CSS) with: Matched LinkedIn profile Company insights Persona-based outreach strategy 🔐 Credentials Used BrightData account for scraping Google search results OpenAI account for GPT-4o-mini-powered parsing and content generation SMTP account for sending follow-up emails ❓Questions? Template and node created by Miquel Colomer and n8nhackers. Need help customizing or deploying? Contact us for consulting and support.
By Miquel ColomerRead multiple files from disk
Companion workflow for Read Binary Files node docs
By amudhanGenerate & publish SEO blog posts to Blogger using OpenRouter AI & Mediastack News
This n8n workflow automates the entire pipeline of generating, formatting, and publishing SEO-rich blog posts to a Blogger site—ideal for auto service businesses. What it does: ⏱ Runs on a schedule via the Schedule Trigger 📰 Fetches trending news from Mediastack (technology category) 🖼 Generates relevant images using the Pexels API 🧠 Creates SEO-optimized content using AI agents (LangChain & OpenRouter) 📝 Formats content into Blogger-compatible HTML, including title, metadata, images, FAQs, and internal linking 🔄 Posts directly to Blogger via authenticated Google Blogger API 📢 Sends Telegram notifications with previews and publishing confirmations 🔐 Uses secure credentials (no hardcoded API keys) Ideal For: Bloggers and marketers looking to automate content creation Auto repair, dealership, or detailing businesses maintaining a content strategy Agencies managing multiple Blogger-based SEO campaigns
By galelemSend a message to Telegram on a new item saved to Reader
What is it This workflow aims to build a simple bot that will send a message to a telegram channel every time there is a new saved item to the Reader. This workflow can be easily modify to support other way of sending the notification, thanks to existing n8n nodes. Warning: This is only for folks who already have access to the Reader, it won't work if you don't Also, this workflow use a file to store the last update time in order to not sync everything everytime. Setup The config node : It contains the telegram channel id It also contains the file used as storage To get the header auth, you have to : Go to the reader Open the devtools, Option + ⌘ + J (on macOS), or Shift + CTRL + J (on Windows/Linux) Go to network and find a profile_details/ request, click on it Go to Request Headers Copy the value for "Cookie" In n8n, set the name of the Header auth account to Cookie and the value with the one you copied before
By Nicolas🏛️ Daily US Congress members stock trades report via Firecrawl + OpenAI + Gmail
📬 What This Workflow Does This workflow automatically scrapes recent high-value congressional stock trades from Quiver Quantitative, summarizes the key transactions, and delivers a neatly formatted report to your inbox — every single day. It combines Firecrawl's powerful content extraction, OpenAI's GPT formatting, and n8n's automation engine to turn raw HTML data into a digestible, human-readable email. Watch Full Tutorial on how to build this workflow here: https://www.youtube.com/watch?v=HChQSYsWbGo&t=947s&pp=0gcJCb4JAYcqIYzv 🔧 How It Works 🕒 Schedule Trigger Fires daily at a set hour (e.g., 6 PM) to begin the data pipeline. 🔥 Firecrawl Extract API (POST) Targets the Quiver Quantitative “Congress Trading” page and sends a structured prompt asking for all trades over $50K in the past month. ⏳ Wait Node Allows time for Firecrawl to finish processing before retrieving results. 📥 Firecrawl Get Result API (GET) Retrieves the extracted and structured data. 🧠 OpenAI Chat Model (GPT-4o) Formats the raw trading data into a readable summary that includes: Date of Transaction Stock/Asset traded Amount Congress member’s name and political party 📧 Gmail Node Sends the summary to your inbox with the subject “Congress Trade Updates - QQ”. 🧠 Why This is Useful Congressional trading activity often reveals valuable signals — especially when high-value trades are made. This workflow: Saves time manually tracking Quiver Quant updates Converts complex tables into a daily, readable email Keeps investors, researchers, and newsrooms in the loop — hands-free 🛠 Requirements Firecrawl API Key (with extract access) OpenAI API Key Gmail OAuth2 credentials n8n (self-hosted or cloud) 💬 Sample Output: Congress Trade Summary – May 21 Nancy Pelosi (D) sold TSLA for $85,000 on April 28 John Raynor (R) purchased AAPL worth $120,000 on May 2 ... and more 🪜 Setup Steps Add your Firecrawl, OpenAI, and Gmail credentials in n8n. Adjust the schedule node to your desired time. Customize the OpenAI system prompt if you want a different summary style. Deploy the workflow — and enjoy your daily edge.
By Automate With MarcConvert web page to PDF using ConvertAPI
Who is this for? For developers and organizations that need to convert web page to PDF. What problem is this workflow solving? The web page conversion to PDF problem. What this workflow does Converts web page to PDF. Stores the PDF file in the local file system. How to customize this workflow to your needs Open the HTTP Request node. Adjust the URL parameter (all endpoints can be found here). Use your API Token for authentication. Pass the token in the Authorization header as a Bearer token. You can manage your API Tokens in the User panel → Authentication. Change the parameter url to the webpage you want to convert to pdf Optionally, additional Body Parameters can be added for the converter.
By ConvertAPIGenerate SEO-optimized titles & meta descriptions with Bright Data & Gemini AI
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. What does this workflow do? This workflow helps speed up the analysis process of the top ranking titles and meta descriptions to identify paterns and styles that will help us rank on Google for a given keyword How does it work? We provide a keyword we are interested in on our Google sheet. When executed, We scrap the top 10 pages using Bright Data serp API and analyse the style and patterns of the top ranking pages and generate a new title and meta description Techncial setup Make a copy of this Google sheet Update your desired keywords on the cell/row Set your Bright data credentials on the Fetch Google Search Results JSON node Update the zone to your preset zone We are getting the results as a JSON. You can update this setting on the url https://www.google.com/search?q={{ $json.searchterm .replaceAll(" ", "+")}}&start=0&brdjson=1 by removing the brd_json=1 query Store the generated results on the Duplicated sheet Run the workflow Setting up the Serp Scraper in Bright Data On Bright Data, go to the Proxies & Scraping tab Under SERP API, create a new zone Give it a suitable name and description. The default is serp_api Add this to your account Add your credentials as a header credential and rename to Bright data API
By Zacharia KimothoEmail news briefing by keyword from Bright Data with AI summary
This n8n workflow automatically retrieves recent Reuters news articles related to a user-specified keyword, summarizes the main findings using Google Gemini, formats the output into styled HTML, and sends a clean email report to a specified address. 🚀 What It Does Collects news data from Bright Data's Reuters dataset. Sorts and filters top 10 most recent news articles by publication_date. Sends structured news data to Gemini Flash for summarization. Converts Gemini's response (in Markdown) into styled HTML. Delivers a concise news briefing via email, including clickable source links and topic highlights. 🛠️ Step-by-Step Setup User Form: Accepts a keyword from the user via an n8n form trigger. Bright Data API: Posts a discover_new request to Bright Data's Reuters dataset using the keyword. Snapshot Polling: Waits and checks for dataset readiness using the snapshot ID. Data Retrieval: Downloads the news data once the snapshot is complete. Parsing: Filters and sorts the latest 10 articles using a Python Code node. AI Analysis: Google Gemini summarizes the filtered content into one briefing. Markdown → HTML: Converts AI response into styled HTML using Markdown + Code node. Email Delivery: Sends the briefing as an email to a predefined recipient. 🧠 How It Works Polling Control: Uses Wait and If nodes to handle Bright Data snapshot readiness. Date Sorting: Publication dates (ISO 8601 format) are parsed and used for sorting. AI Summarization: Gemini condenses multiple articles into one cohesive summary. Formatting: Clean HTML with readable styles is generated dynamically before sending. 📨 Final Output The email includes: A brief summary of the most important developments Date range of the collected news Topics covered 🔐 Credentials Used Bright Data API (replace YOURAPIKEY in the HTTP nodes) Google Gemini (Flash) API Email SMTP (configured in Email Send node) ⚠️ Notes You must replace all YOURAPIKEY placeholders in Bright Data request headers with your actual Bright Data API key. You can customize the keyword prompt and output style freely. I would recommend to keep the sort = relevance option for best chronological results - sorting by date is handled later.
By Gleb D