Workflow Templates

With this workflow you can extract data from resume documents uploaded via a Telegram bot. Workflow transform readable content of PDF resume into structured data, using AI nodes and returns PDF with formatted, plain HTML. You can modify this workflow to perform other actions with structured data (e.g. insert it into database or create other, well-formatted documents). Functionality of this workflow was presented during the n8n community call on March 7, 2024 - recording of presentation available here. ⚠️ Workflow made for demo purposes. If you want to use it in real life, please make sure necessary measures for personal data protection are set. How it works? User uploads readable PDF resume document into Telegram bot. After authentication based on chat ID parameter, workflow extracts text from the PDF and transfers it into AI chain with connected sub-nodes: OpenAI Chat Model and Structured Output (JSON) Parser. Then, each extracted section (employment history, projects etc.) is formatted into desired HTML structure. Finally, the document is converted into new, structured PDF using Gotenberg. 💡 This workflow requires installed Gotenberg. If you are not familiar with this software, please have a look on my YouTube tutorial. You can also replace call to Gotenberg with other PDF generation service (such as PDFMonkey or ApiTemplate). Set up steps Create Telegram bot and add its credentials in n8n. Set your chat ID parameter in Auth node. Adjust JSON schema in Structured Output Parser according to your needs. Optionally: replace HTTP call to Gotenberg with PDF generation service of your choice. If you like this workflow, please subscribe to my YouTube channel and/or my newsletter.

Workflow Description This workflow is a powerful, fully automated web query and semantic reranking system that allows users to perform precise, detailed searches, intelligently rank search results and provide high-quality, structured output. Built with AI-powered components, the workflow leverages semantic query generation, result re-ranking, and real-time reporting to deliver actionable insights. It is particularly well-suited for real-time data retrieval, market research, and any domain requiring automated yet customizable search result processing. How It Works Webhook Integration for Input: The workflow begins with a Webhook Node that captures the user's search query as input, enabling seamless integration with other systems. Step 1: Semantic Query Generation (Powered by "Semantic Search - Query Maker"): Using AI (Google Gemini), the initial query is refined and transformed into a context-aware, expert-level search query. The process ensures that the search engine retrieves the most relevant and precise results. Step 2: Web Search Execution: A free Brave Search API processes the refined query to fetch search results, ensuring speed and cost efficiency. Step 3: Semantic Re-Ranking of Results (Powered by "Semantic Search - Result Re-Ranker"): The workflow reranks the search results based on relevance to the original question, prioritizing the most relevant URLs dynamically. Results are passed through AI-powered intelligent reranking to ensure the final output reflects optimal relevance and quality. Step 4: Structured Output Generation: Results are converted into a well-structured, organized JSON format, ranking the top 10 search results with their titles, links, and descriptions. Missing ranks (if fewer than 10 results) are handled gracefully with placeholders, ensuring consistency. Step 5: Real-Time Reporting: The reranked search results are sent back to the user or integrated system via the Webhook Node in a JSON-formatted response. Reports are highly structured and ready for downstream processing or consumption. Key Features AI-Powered Query Refinement: Transforms basic queries into detailed, expert-level search terms for optimal results. Dual-Stage Semantic Search: Combines query generation and result reranking for precise, high-relevance outputs. Top 10 Result Reranking: Dynamically ranks and organizes the top 10 results based on semantic relevance to the query. Customizable Integration: Fully modifiable for alternative APIs or integrations, such as other search engines or custom ranking logic. JSON-Formatted Structured Results: Outputs reranked results in a standardized format, ideal for integration into systems requiring machine-readable data. Webhook-Based Flexibility: Works seamlessly with Webhook inputs for easy deployment in diverse workflows. Cost-Effective API Usage: Pre-integrated with the free Brave Search API, minimizing operational costs while delivering accurate search results. Instructions for API Setup Brave Search API: Visit api.search.brave.com to obtain a free-tier API key for web search. AI Integration (Google Gemini): Visit Google AI Studio and generate an API key for semantic query generation and reranking. Webhook Configuration: Set up the input Webhook to capture search queries and the output Webhook to deliver reranked results. Why Choose This Workflow? Precision and Relevance**: Combines AI-based query generation with advanced reranking for accurate results. Fully Customizable**: Easily adapt the workflow to alternative APIs, search engines, or ranking logic. Real-Time Insights**: Provides structured, real-time output ready for immediate use. Scalable and Modular**: Ideal for businesses, researchers, and data analysts needing a robust, repeatable solution. Tags AI Workflow, Semantic Search, Query Refinement, Search Result Reranking, Real-Time Search, Web Search Automation, Google Search, Brave Search, News Search, API Integration, Market Research, Competitive Intelligence, Business Intelligence,Google Gemini, Anthropic Claude, OpenAI, GPT, LLM

Use Case This workflow is beneficial when you're automatically adding new leads to your Pipedrive CRM. Usually, you'd have to manually review each lead to determine if they're a good fit. This process is time-consuming and increases the chances of missing important leads. This workflow ensures every new lead is promptly evaluated upon addition. What this workflow does The workflow runs every 5 minutes. On every run, it checks your new Pipedrive leads and enriches them with Clearbit. It then marks items as enriched and checks if the company of the new lead matches certain criteria (in this case if they are B2B and have more than 100 employees) and sends a Slack alert to a channel for every match. Pre Conditions You must have Pipedrive, Clearbit, and Slack accounts. You also need to set up the custom fields Domain and Enriched at in Pipedrive. Setup Go to Company Settings -> Data fields -> Organization and add Domain as a custom field Go to Company Settings -> Data fields -> Leads and add Enriched at as a custom date field Add your Pipedrive, Clearbit and Slack credentials. Fill the setup node below. To get the ID of your custom domain fields, simply run the Show only custom organization fields and Show only custom lead fields nodes below and copy the keys of your domain, and enriched at fields. How to adjust this workflow to your needs Modify the criteria to suit your definition of an interesting lead. If you only want to focus on interesting leads in Pipedrive, add a node that archives all others. This workflow was built using n8n version 1.29.1

Who this is for The Real Estate Intelligence Tracker is a powerful automated workflow designed for real estate analysts, investors, proptech startups, and market researchers who need to collect and analyze structured data from real estate listings across the web at scale. This workflow is tailored for: Real Estate Analysts** - Tracking property prices, locations, and market trends Investment Firms** - Sourcing high-opportunity listings for portfolio decisions PropTech Developers** - Automating listing insights for SaaS platforms Market Researchers** - Extracting insights from competitive housing data Growth Teams** - Monitoring geographic property trends and pricing fluctuations What problem is this workflow solving? Collecting structured real estate listing data from property websites is difficult due to bot protections and unstructured HTML content. Manual data collection is slow and error-prone, and traditional scrapers often get blocked or miss context. This workflow solves: Automated bypass of anti-bot protection using Bright Data Web Unlocker Conversion of unstructured HTML content into clean text using a Markdown-to-text LLM pipeline Structured extraction of key listing data like price, location, property type, and features using OpenAI Aggregation and delivery of insights to Google Sheets, local storage, and webhook-based alerts What this workflow does Convert to Text: Transforms scraped HTML/markdown into clean text using a Basic LLM Chain Structured Data Extraction: Uses OpenAI GPT-4o with the Information Extractor node to parse property attributes (price, address, area, type, etc.) Aggregate & Merge: Combines data from multiple pages or listings into a cohesive structure Outbound Data Handling: Google Sheets** – Appends the structured real estate data for further analysis Save to Disk** – Persists structured JSON/text data locally Webhook Notification** – Sends data alerts or summaries to any third-party platform Pre-conditions You need to have a Bright Data account and do the necessary setup as mentioned in the "Setup" section below. You need to have an OpenAI Account. Setup Sign up at Bright Data. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token. In n8n, Configure the Google Sheet Credentials with your own account. Follow this documentation - Set Google Sheet Credential In n8n, configure the OpenAi account credentials. Ensure the URL and Bright Data zone name are correctly set in the Set URL, Filename and Bright Data Zone node. Set the desired local path in the Write a file to disk node to save the responses. How to customize this workflow to your needs Target Multiple Sites or Locations Update the Bright Data URL node dynamically with a list of regional real estate websites Loop through different city/state filter URLs Customize Extracted Fields Modify the Information Extractor prompt to extract fields like: Property size, number of bedrooms/bathrooms Days on market Nearby amenities or schools Agent contact details Integrate with More Destinations Add nodes to export data to Notion, Airtable, HubSpot, or your custom database Generate automated reports using PDF generators and email them Data Quality and Logging Add validation checks (e.g., missing price or address) Save intermediate files (markdown, raw HTML, JSON output) to disk for audit purposes

This n8n template delivers a complete AI-powered solution for automated LinkedIn posts, including unique content, custom images, and optimized hashtags. Use cases are many: Generate and schedule tailored LinkedIn content for different use-cases. By feeding the AI specific prompts, you can create specific post depending upon the topics and visuals to maintain a consistency yet and an online presence. How it works Maintaining a consistent and engaging presence on LinkedIn can be time-consuming, requiring constant ideation, content creation, and manual posting. This workflow takes that burden off your shoulders, delivering a fully automated solution for generating and publishing high-quality LinkedIn content. Scheduled Content Engine: Each day (or on your chosen schedule), the workflow kicks into gear, ensuring a fresh stream of content. Smart Topic & Content Generation: Using the power of Google Gemini, it intelligently crafts unique content topics and then expands them into full, engaging posts, ensuring your message is always fresh and relevant. Dynamic Image Creation: To make your posts stand out, the workflow leverages an AI image generator (like DALL-E) to produce a custom, eye-catching visual that perfectly complements your generated text. SEO-Optimized Hashtag Generation: Google Gemini then analyzes your newly created post and automatically generates a set of relevant, trending, and SEO-friendly hashtags, significantly boosting your content's reach and discoverability. Seamless LinkedIn Publishing: Finally, all these elements—your compelling text, unique image, and powerful hashtags—are merged and automatically published to your LinkedIn profile, establishing you as a thought leader with minimal effort. How to Use: Quick Start Guide This guide will get your AI LinkedIn Content Automation workflow up and running in n8n. Import Workflow Template: Download the template's JSON file and import it into your n8n instance via "File" > "Import from JSON." Configure Credentials: Google Gemini: Set up and apply your API key credentials to all "Google Gemini Chat Model" nodes. AI Image Generation (e.g., OpenAI): Create and apply API key credentials for your chosen image generation service to the "Generate an Image" node. LinkedIn: Set up and apply OAuth credentials to the "Create a post" node for your LinkedIn account. Customize Schedule & AI Prompts: Schedule Trigger: Double-click "Schedule Trigger 1" to set how often your workflow runs (e.g., daily, weekly). AI Prompts: Review and edit the prompts within the "Content Topic Generator," "Content Creator," and "Hashtag Generator / SEO" nodes to guide the AI for your desired content style and topics. Test & Activate: Test Run: Click "Execute Workflow" to perform a test run and verify all steps are working as expected. Activate: Once satisfied, toggle the workflow "Active" switch to enable automated posting on your defined schedule. Requirements To use this workflow template, you will need: n8n Instance: A running n8n instance (cloud or self-hosted) to import and execute the workflow. Google Gemini Account: For content topic generation, content creation, and hashtag generation (requires Google Gemini API Key) from Google AI Studios. AI Image Generation Service Account: For creating images (e.g., OpenAI DALL-E API Key or similar service that the "Generate an Image" node uses). LinkedIn Account: For publishing the generated posts (requires LinkedIn OAuth Credentials for n8n connection). Connect with us Website: https://www.intuz.com/cloud/stack/n8n Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz

Tired of spending HOURS writing product descriptions that don’t rank or convert? This could be your solution. This free Product Description Writer workflow for n8n uses a multi-agent AI system to turn your product list into conversion-focused, SEO-ready copy. It analyzes your product images, identifies key features, and writes optimized titles and descriptions for platforms like Shopify and Google Shopping. It can process your entire catalog in minutes, saving you countless hours of manual work. This workflow is perfect for: 🛒 Shopify stores 🛒 Etsy sellers 🛒 Product managers 🛒 Digital marketers 🛒 Anyone who hates writing product copy manually! How it works This workflow automates the entire product description process in a few high-level steps: Reads Your Products: The workflow starts by reading product data from your specified Google Sheet, including the product name, an image URL, and optional fields like brand voice or target market. Analyzes Product Images: It downloads each product image and uses an AI vision model (GPT-4o-mini) to perform a detailed visual analysis, extracting objective information like materials, colors, features, and structure. Writes Optimized Copy: The visual analysis and your original data are passed to two specialized AI agents. The first drafts a Shopify-optimized title and description, while the second refines it and generates additional SEO-focused copy for Google Merchant Center. Updates Your Spreadsheet: The final, optimized product titles and descriptions for both Shopify and Google are automatically written back to the original Google Sheet. Set up steps Setting up this workflow takes only a few minutes. You will need to configure credentials for the following services: Google Sheets**: To allow the workflow to read your product list and write back the results. OpenAI**: To power the AI agents that analyze images and generate the copy. Detailed instructions and customization tips are included in the sticky notes inside the workflow itself. Benefits Automated Vision-Based Copywriting**: Reduces manual description writing time. Multi-Channel Ready**: Outputs are optimized for both Shopify and Google Merchant Center standards. Brand Alignment**: Uses optional user-provided draft descriptions and brand voice to maintain brand tone. SEO and Conversion Focus**: Titles and descriptions are optimized for both search engines and consumer engagement. Image-Centric Accuracy**: Uses actual product images for accurate attribute extraction, minimizing errors from missing or vague text data. Tips & Customization To adjust brand voice or tone, modify the system prompts in the Shopify and GMC AI agents. To extend the workflow for scheduled runs, add a cron trigger or a Google Sheets "status column" filter. For QA/debugging, consider adding logging nodes to Slack or Discord, or export AI outputs to a review sheet before updating the main sheet. To improve Shopify or GMC field mappings, edit the final Google Sheets update node's column settings. For speed optimization, the batch size in the Loop Over Items node can be adjusted, but be mindful of API rate limits.

Who is this for? Content creators, social media managers, digital marketers, and businesses looking to automate video production without expensive equipment or technical expertise. What problem is this workflow solving? Traditional video creation requires cameras, editing software, voice recording equipment, and hours of post-production work. This workflow eliminates all these barriers by automatically generating professional videos with audio using just text prompts. What this workflow does This automated workflow takes video ideas from Google Sheets, generates optimized prompts using AI, creates videos through Google's V3 model via Fal AI, monitors the generation progress, and saves the final video URLs back to your spreadsheet for easy access and management. Setup Sign up for Fal AI account and obtain API key Create Google Sheet with video ideas and status columns Configure n8n with required credentials (Google Sheets, Fal AI API) Import the workflow template Set up authentication for all connected services Test with sample video idea How to customize this workflow to your needs Modify the AI prompts to match your brand voice, adjust video styles and camera movements, change polling intervals for video generation status, customize Google Sheet column mappings, and add additional processing steps like thumbnail generation or social media posting.

What it does This workflow automatically processes incoming emails with intelligent AI classification, creating draft responses and sending Slack notifications based on email content. How it works Monitors emails with the 'AI-Agent' label AI classification into categories: Inquiry, Support, Newsletter, Action Item Adds appropriate labels to emails automatically Creates draft replies for Support and Inquiry emails Sends Slack notifications for Action Items and Newsletter summaries Setup Requirements Gmail OAuth2 credentials configured OpenAI API credentials (or other AI provider) Slack OAuth2 credentials (if notifications desired) Gmail labels created (see setup instructions below) How to customize Modify classification categories in the AI Agent Adjust label mappings in the Parse Classification node Customize draft response templates Configure different Slack channels for different email types

This workflow makes it easier to prepare for meetings and calls by researching your lead right before the call and creates a high-level meeting prep that is sent to your email. This removes the extra steps needed by teams to learn their leads, research, and prepare for the upcoming calls. How does it work This workflow starts when We Capture the webhook from cal.com for new bookings. Ensure you have a field on the form to collect LinkedIn posts. This can be optional or mandatory depending on your preferences. When a new event is booked, we will add the leads to an Airtable CRM for appointments and new bookings. This table will contain all the items and items needed to enrich and maintain your CRM. If the lead has linkedin then we do research on LinkedIn for their content and posts and perform a lead enrichment to get as much info as we can about the leads and create a new meeting prep. What you need Bright data API Cal.com account/calendar. Other calendars can be used too for this eg calendly, Google Calendar, etc with a few tweaks CRM - This can be anything not just airtable Setting it up Create/update your calendar to allow collecting users LinkedIn profiles/bios Add a new webhook to and subscribe to the desired events like below Map the fields from the webhook to match your CRM. If you have no CRM make a copy of this Airtable CRM and map the fields to your account. We will be using the Base and table ID to make the mapping easier Setup your Bright Data API and select the data source as linkedin for the scraping You can edit more data on the bio as needed Update this info to the CRM under the table lead enrichment and map accordingly You can update the prompt on the AI models or work with them as is. Update the Gmail node to send the meeting preps to you and finally update the CRM with the generated Meeting prep This automated process can save your team a couple of minutes each day otherwise spent on other client fulfillment items. If you would like to learn more about n8n templates like this, feel free to reach out via Linkedin Happy productivity!!

📬 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.

Who is this for? This workflow is ideal for individuals focused on nutrition tracking, meal planning, or diet optimization—whether you’re a health-conscious individual, fitness coach, or developer working on a healthtech app. It also fits well for anyone who wants to capture their meal data via voice or text, without manually entering everything into a spreadsheet. What problem is this workflow solving? Manually logging meals and breaking down their nutritional content is time-consuming and often skipped. This workflow automates that process using Telegram for input, OpenAI for natural language understanding, and Google Sheets for structured tracking. It enables users to record meals by typing or sending voice messages, which are transcribed, analyzed for nutrients, and automatically stored for tracking and review. What this workflow does This n8n automation lets users send either a text or voice message to a Telegram bot describing their meal. The workflow then: Receives the Telegram message Checks if it’s a voice message • If yes: Downloads the audio file and transcribes it using OpenAI • If no: Uses the text input directly Sends the meal description to OpenAI to extract a structured list of ingredients and nutritional details Parses and stores the results in Google Sheets Responds via Telegram with a personalized confirmation message A testing interface also allows you to simulate prompts and view structured outputs for development or debugging. Setup Create a Telegram bot via BotFather and note the API token. Create an empty Google Sheet and store the sheet ID in the environment. Set up your OpenAI credentials in the n8n credential manager. Customize the “List of Ingredients and Nutrients” node with your prompt if needed. (Optional) Use the “Testing” section to simulate messages and refine outputs before going live. How to customize this workflow to your needs • Enhance prompts in the OpenAI node to improve the structure and accuracy of responses. • Add new fields in the Google Sheet and corresponding logic in the parser if you want more detail. • Adjust the Telegram response to provide motivational feedback, dietary tips, or summaries. • Upgrade to the “Pro” version mentioned in the contact section for USDA database integration and complete nutrient breakdowns. This is a lightweight, AI-powered meal logging automation that transforms voice or text into actionable nutrition data—perfect for making healthy eating easier and more data-driven. See my other workflows here

This workflow automatically creates in-depth, SEO-friendly Arabic articles based on any keyword you provide. It researches the topic, generates a full article outline, writes every section in Arabic, and saves the final article directly to your Notion workspace—all in a few clicks. How It Works Step 1:** You submit a simple web form with your keyword and (optionally) an article title. Step 2:** The workflow researches the topic using advanced AI, gathers trending questions from Google, and creates a detailed, structured outline. Step 3:** Each section of the article is written in Arabic by AI, following best SEO practices and including real FAQs. Step 4:** The completed article is automatically formatted and saved to your Notion database, ready for review or publishing. Setup Instructions What you need:** An OpenAI API key (for AI-powered writing and outline generation) An OpenRouter API key (for research via Perplexity/Sonar AI) A Notion account and Notion API integration (for saving articles) DataForSEO account (for fetching Google "People Also Ask" questions) How to set up:** Import the workflow into your n8n instance. Connect your API credentials for OpenAI, OpenRouter, Notion, and (optionally) DataForSEO. Update your Notion database ID in the workflow settings. Deploy the workflow. Fill out the web form to generate your first article. Setup time:** 10–20 minutes if you already have your accounts. Tip: You can fully customize the outline and writing prompts for your target audience or topic. The workflow is modular—easy to adapt for different languages or content styles.