Workflow Templates

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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

This n8n template imports an XLSX containing terms dates for a university, extracts the relevant events using AI and converts the events to an ICS file which can be imported into iCal, Google Calendar or Outlook. Manually adding important term dates to your calendar by hand? Stop! Automate it with this simple AI/LLM-powered document understanding and extraction template. This cool use-case can be applied to many scenarios where Excel files are predominantly used. How it works The term dates excel file (xlsx) are imported into the workflow from the university's website using the http request node. To parse the excel file, we use an external service - Cloudflare's Markdown Conversion Service. This converts the excel's sheets into markdown tables which our LLM can read. To extract the events and their dates from the markdown, we can use the Information Extractor node for structured output. LLMs are great for this use-case because they can understand the layout; one row may have many data points. With our data, there are endless possibilities to use it! But for this demonstration, we'll generate an ICS file so that we can import the extracted events into our calendar. We use the Python code node to combine the events into the ICS spec and the "Convert to File" node to create the ICS binary. Finally, let's distribute the ICS file by email to other students or instructors who may also find this incredibly helpful for the upcoming semester! How to use Ensure you're downloading the correct excel file and amend the URL parameter of the "Get Term Dates Excel" as necessary. Update the gmail node with your email or other emails as required. Alternatively, send the ICS file to Google Drive or a student portal. Requirements Cloudflare Account is required to use the Markdown Conversion Service. Gemini for LLM document understanding and extraction. Gmail for email sending. Customising the workflow This template should work for other Excel files which - for a university - there are many. Some will be more complicated than others so experiment with different parsers and extraction tools and strategies.

This n8n template demonstrates how to automate invoice data extraction from PDF attachments received via Gmail. Using LlamaParse and Gemini LLM, this workflow parses structured fields like PO numbers, line items, tax amounts, and totals — and stores them neatly into a Google Sheet. Perfect for use cases such as: 💼 Finance teams managing vendor invoices 📊 Bookkeeping workflows 🔄 Automating monthly reconciliation Good to Know At the time of writing, LlamaParse and Gemini may involve API usage costs depending on your subscription tier. Check LlamaIndex Pricing and Gemini Pricing for updated info. LlamaParse provides Markdown-formatted parsed output which is then passed to an LLM for structured field extraction. Gemini models may be geo-restricted. If you encounter "model not found" errors, your region might not be supported. How it Works Trigger: Watches your Gmail for new emails with PDF attachments. Email Filter: Ensures we only parse fresh emails not already labeled as "invoice synced". LlamaParse Upload: Uploads the PDF to LlamaParse’s parsing endpoint. Status Polling: Periodically checks whether the parsing is complete. Download Markdown: Once ready, it fetches the parsed invoice in Markdown format. AI Parsing with Gemini: Sends the Markdown to Gemini LLM to extract structured JSON (like PO number, line items, taxes, etc.) using a predefined schema. Google Sheets Upload: Stores extracted data into a predefined spreadsheet. Labeling: Marks the email as “invoice synced” to avoid reprocessing. How to Use The trigger is based on Gmail, but you can replace this with a webhook or manual trigger for testing. Setup Instructions Gmail API Enable Gmail API in Google Cloud Console. Connect your Gmail account in n8n credentials. Allow read + modify access. Google Sheets Create a new Google Sheet with the following headers (row 1): Date | Vendor Name | Invoice Number | PO Number | Line Items | Subtotal | Tax | Total Amount Connect Google Sheets in n8n and paste the Sheet ID in the node. You can customise the google sheet basis your requirement. LlamaParse Get a LlamaIndex API Key from LlamaIndex. Use the LlamaParse upload and polling nodes to process your PDFs. Gemini (via Vertex AI) Set up Gemini access in GCP. Use the Gemini 2.5 Model. Construct a structured prompt to extract required fields. Labeling Create a Gmail label named "Invoice Synced" for tracking processed emails. Requirements Gmail account with API access LlamaParse (LlamaIndex) account with API Key Google Sheets API credentials Access to Gemini 2.5 model via Google Vertex AI Customising This Workflow This template is just the beginning. You can expand it to: Auto-generate invoices back to vendors Run duplicate checks before inserting into Sheets Integrate with accounting tools like Zoho, QuickBooks, or Tally Trigger Slack/Email notifications on specific vendors or high invoice amounts

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Overview When applying for freelance jobs on Upwork, minutes matter. The first quality application is more often than not the one that's ultimately selected. Subscribers to Upwork's Freelancer Plus receive email job alerts, but filters are very limited. As a result, it takes a lot of time to manually go through each email and determine if each job fits your criteria. This workflow scans your Gmail every few minutes, finds all Upwork job alerts, scores them based on your profile/preferences, and sends a Slack channel message for jobs that are strong potential matches. How it works Scans Gmail for Upwork job alerts every few minutes Extracts all available job data from each email Scores the job based on profile information and criteria you provide Sends a Slack notification for all jobs that meet a given score threshold Disclaimers This workflow polls Gmail for new messages every 10 minutes. A workflow execution will be used each time, regardless of whether the Gmail scan finds anything. You may want to adjust this frequency based on the amount of workflow executions you want to use. The AI matching process is based only on the information included in the email body (job title, description snippet and metadata). It is against Upwork's Terms of Service to scrape a full job posting. Despite this, the quality of the results in our testing is high for most use cases. Required Setup Subscribe to Upwork's Freelancer Plus plan to enable job alerts ($19.99/mo at the time of this posting) Create Gmail and Open Router (or an LLM provider of your choice) credentials and select them in the Gmail / LLM Model nodes Create a Slack app that has at least the chat:write.public and channels:read scopes, install it into your workspace, and use your apps OAuth Token to create a Slack API credential in n8n IMPORTANT: In the "Opportuntity Scorer" node, replace the text in between the <my_profile> tags with your freelancer bio. For best results, include as much detail as possible about your skillset, experience, tool familiarity, and job preferences. Update the filter with your notification threshold preference(s) and update the Slack channel to send notifications to in the last Slack node If you have any questions or feedback about this workflow, or would like me to build custom workflows for your business, email me at n8n@paperjam.agency.

Who is this template for? This workflow template is designed for DevOps, Engineering, and Managed Service Provider professionals seeking alerts on various channels, with each channel being logically chosen based on the severity of the event. How it works Each time a new event occurs, the workflow runs (powered by TwentyCRM's native Webhooks feature). After filtering for the required data from the webhook, the filtered data is logged using Google Sheets. Based on the eventType from the webhook, we conditionally select a predefined messaging channel and send updates or alerts through it. Set up instructions Complete the Set up credentials step when you first open the workflow. You'll need a Google-OAuth2.0 with Gmail API & Google Sheets Scope, Slack with OAuth2.0 - chat:write scopes. Set up the Webhook in TwentyCRM, linking the On new TwentyCRM event Trigger with your TwentyCRM App. Set the correct channel to send to in the Post message in channel step. After testing your workflow, swap the Test URL to Production URL in TwentyCRM and activate your workflow. Template was created in n8n v1.63.4.

How it works This workflow converts an HTML string into a polished PDF file using the powerful open-source Gotenberg service. It's designed to be a reusable utility in your automation stack. Receives Input: The workflow is triggered with a JSON object containing the full html code as a string and a desired file_name for the output. Prepares File: It converts the incoming HTML string into a binary index.html file, which is required for the API call. Calls Gotenberg API: It sends the HTML file to a running Gotenberg instance via an HTTP request. It also dynamically sets the output filename and embeds metadata (like Author, Title, and Creation Date) directly into the PDF. Returns PDF: The workflow outputs the final binary PDF file, ready to be saved, sent in an email, or used in the next step of your main workflow. Set up steps Setup time: ~3 minutes This workflow has one critical prerequisite: a running Gotenberg instance that your n8n can connect to. 1. Prerequisite: Run Gotenberg You need to have the Gotenberg service running. The easiest way is with Docker. Add the following service to your docker-compose.yml file (the same one you use for n8n): services: ... your n8n service ... gotenberg: image: gotenberg/gotenberg:8 restart: always Then, restart your stack with docker compose up -d. This makes Gotenberg available at the address http://gotenberg:3000 from within your n8n container. 2. Use as a Sub-Workflow This workflow is ready to be used as a sub-workflow. In your main workflow, add an Execute Sub-Workflow node. In the Workflow parameter, select this "Create PDF from HTML" workflow. Provide the input data in the required format: a JSON object with html and file_name keys.

This is a simple workflow that grabs HackerNews front-page headlines from today's date across every year since 2007 and uses a little AI magic (Google Gemini) to sort 'em into themes, sends a neat Markdown summary on Telegram. How it works Runs daily, grabs Hacker News front page for this day across every year since 2007. Pulls headlines & dates. Uses Google Gemini to sort headlines into topics & spot trends. Sends a Markdown summary to Telegram. Set up steps Clone the workflow. Add your Google Gemini API key. Add your Telegram bot token and chat ID. **Built on Day-01 as part of the #100DaysOfAgenticAi Fork it, tweak it, have fun!**

How It works It's very important to come prepared to Sales calls. This often means a lot of manual research about the person you're calling with. This workflow delivers the latest news about businesses you are about to interact with each day. Scans Your Calendar**: Each morning, it reviews your Google Calendar for any scheduled meetings or calls with companies. Fetches Latest News**: For each identified company, it searches the web for the most recent and relevant news articles using newsapi.org Delivers Insights**: You receive personalized emails via Gmail, each dedicated to a company you're meeting with that day, containing a curated list of news headlines, brief descriptions, and direct links to full articles. Setup steps The workflow requires you to have the following accounts set up in their respective nodes: Google Calendar GMail Besides those, there are a few parameters in the node called Setup that can be used to tweak the workflow:

How it works This workflow runs on a daily schedule. It starts by scraping real estate-related queries from Google using Apify. The organic search results are parsed and summarized into a single text block. That text is then sent to an AI model (GPT-4o) which extracts the top 3 pain points faced by real estate agents based on current online sentiment. The workflow compares today's insights with yesterday's data stored in Airtable to detect recurring or new pain points. Finally, it sends a summary notification via Telegram and stores the current day's insights into Airtable for trend tracking. How to set up Clone or import the workflow into your n8n instance. Get an Apify API token and insert it into the HTTP Request node. Create an Airtable base with a table containing two fields: "Date" (text) and "Summary" (long text). Copy the Base ID and Table ID into the Airtable nodes. Connect your Telegram bot and replace the chat ID in the Telegram node. Set up OpenAI credentials with GPT-4o or GPT-4o-mini for the LLM node. Run once manually to test, then activate the schedule trigger to run daily. (Optional) Extend the flow to generate cold outreach emails based on pain points, or sync to Notion/CRM.

Who is this for? This workflow is ideal for: For freelancers, business owners, and finance teams who receive receipts via Gmail Automatically logs expenses for tax, bookkeeping and year-end audits What problem is this workflow solving? When tax season hits, missing receipts create panic. This workflow keeps everything in one place. It uses AI to extract details from Gmail attachments, logs them in a Google Sheet, and stores the PDFs in Google Drive. No digging. No copying. Just everything where it should be. How it works? Apply the label receipt to any incoming Gmail email. Do not mark it as read. On a schedule (e.g. daily at 8:00 AM), the workflow triggers. It searches for unread emails with the label receipt. For each matching email, it downloads the attached receipt file. It extracts text content from the receipt file. It uploads the original receipt file to a specified folder in Google Drive. It merges the extracted text with email metadata. It sends this combined data to OpenAI. OpenAI extracts structured fields: date merchant category description subtotal tax total The extracted data is appended as a new row in the specific Google Sheet. Finally, the email is marked as read to prevent it from being processed again. How to set up? Connect these services in your n8n credentials: Gmail (OAuth2) Google Drive Google Sheets OpenAI Configure the Google Drive upload: In the “Upload File” node, select the target folder where you want receipt PDFs stored. Set your execution schedule: Open the “Schedule Trigger” node and choose when it should run (default is once daily at 8:00 AM). Choose your Google Sheet and tab: In the “Append to Google Sheet” node, select your document and tab Ensure the sheet contains these columns: Date, Merchant, Category, Description, Subtotal, Tax, Total. How to customize this workflow to your needs? Change the Gmail label or search filter** to match your needs. Modify the OpenAI schema** to extract additional fields like currency, project, or notes.

Amazon Price Monitoring Workflow This workflow enables you to monitor the prices of Amazon product listings directly from a Google Sheet, using data provided by Bright Data’s Amazon Scraper API. It automates the retrieval of price data for specified products and is ideal for market research, competitor analysis, or personal price tracking. ✅ Requirements Before using this template, ensure you have the following: A Bright Data account and access to the Amazon Scraper API. An active API key from Bright Data. A Google Sheet set up with the required columns. N8N account (self-host or cloud version) ⸻ ⚙️ Setup 1. Create a Google Sheet with the following columns: Product URL ZIP Code (used for regional price variations) ASIN (Amazon Standard Identification Number) 2. Extract ASIN Automatically using the following formula in the ASIN column: =REGEXEXTRACT(A2, "/(?:dp|gp/product|product)/([A-Z0-9]{10})") Replace A2 with the appropriate cell reference 3. Obtain an API Key: Sign in to your Bright Data account. Go to the API section to generate an API key. Create a Bearer Authentication Credential using this key in your automation tool. 4. Configure the Workflow: Use a node (e.g., “Google Sheets”) to read data from your sheet. Use an HTTP Request node to send a query to Bright Data’s Amazon API with the ASIN and ZIP code. Parse the returned JSON response to extract product price and other relevant data. Optionally write the output (e.g., current price, timestamp) back into the sheet or another data store. ⸻ Workflow Functionality The workflow is triggered periodically (or manually) and reads product details from your Google Sheet. For each row, it extracts the Product URL and ZIP code and sends a request to the Bright Data API. The API returns product price information, which is then logged or updated back into the sheet using ASIN. You can also map the product URL to the product URL, but ensure that the URL has no parameters. If the URL has appended parameters, refer to the input field from the Bright Data snapshot result. ⸻ 💡 Use Cases E-commerce sellers monitoring competitors’ prices. Consumers tracking price drops on wishlist items. Market researchers collecting pricing data across ZIP codes. Affiliate marketers ensuring accurate product pricing on their platforms. ⸻ 🛠️ Customization Add columns for additional product data such as rating, seller, or stock availability. Schedule the workflow to run hourly, daily, or weekly depending on your needs. Implement email or Slack alerts for significant price changes. Filter by product category or brand to narrow your tracking focus.