Workflow Templates

Complete MCP server exposing 2 BIN Lookup API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add BIN Lookup API credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the BIN Lookup API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to https://api.bintable.com/v1 • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (2 total) 🔧 Balance (1 endpoints) • GET /balance: Check Balance 🔧 {Bin} (1 endpoints) • GET /{bin}: Lookup for bin 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native BIN Lookup API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

This n8n template showcases a cool feature of n8n Forms where the form itself can be defined dynamically using the form fields schema. It may be debateable how useful this template actually is since both Airtable and Baserow provide form interfaces already but still a great exercise and demonstration if ever the use-case comes around. How it works A form trigger is used to dynamically select a database/table from which to build the n8n form from. the table's schema is imported into the workflow and using the code node, is converted into the n8n form fields schema. This let's us dynamically build the fields in our n8n form when we choose to define the form using the JSON option. Once the n8n form submits, we convert the values back into our table's API schema so that we can create a new row. Note any files/attachments fields are removed as they need to be handled separately. Files are processed separately as they may first need to be stored. Once complete, the reference is saved into the newly created row. Check out the example Airtable here - https://airtable.com/appfP15Xd0aVZR9xV/shrGFgXLyQ4Jg58SU How to use The n8n form is autogenerated which means you only need provide access to the table. Using this approach, this template can be reused for any number of Airtable and/or Baserow tables. Requirements You'll need either an Airtable account or a Baserow account to use this template. Accessible n8n instance to your users Customising this workflow Not using either Airtable or Baserow? Theoretically any datastore which provides a fields schema can be used with this template. If you're feeling creative, split the table into multiple forms for a better user experience.

Use case LLMs have provided a lot of value for several use cases. Especially some OpenAI models are proving to be quite valuable. However, it's sometimes not super accessible to chat with these models. This workflow enables you to chate directly with OpenAI's GPT-3.5 via Telegram. How it works A simple telegram bot that connects to your botfather bot to give AI responses, using OpenAI's GPT 3.5 model, to a user's messages with emojis. What to do Add your telegram API key and your OpenAI api key and have fun!

Create engaging, structured threads on Bluesky with precise control over post timing and visibility. This workflow helps content creators and social media managers schedule and publish threaded posts that maintain proper connections and formatting, ensuring your content appears exactly as intended. How it works Creates an initial visible post that starts your thread Adds a series of hidden reply posts that form the body of your thread Maintains proper parent-child relationships between posts to ensure correct threading Enforces timing delays between posts to prevent rate limiting Concludes with two visible posts at the end of your thread The result is a clean, professional-looking thread where only the first and last two posts are immediately visible to your followers, encouraging engagement while maintaining a clean profile view. Set up steps (10-30 minutes) Create a Bluesky account Enter your Bluesky handle and app password in the "Set Bluesky Credentials" node Customize the post text in the Code nodes to match your content: Initial visible post Hidden reply posts Final visible posts Adjust the scheduling in the "Run Daily at 9 AM" node to match your preferred posting time Suggested enhancements Add error handling with retry logic for API failures Add input validation for post length and credential format Include error notifications via email or Slack Add data persistence to track successful posts and resume failed threads Make timing delays configurable with exponential backoff Add monitoring for rate limits and API quotas For Social Media Managers who want: Control over post visibility and timing Automated posting of long-form content Professional-looking content presentation

Use Case Extend Bitrix24 tasks with custom widgets that display relevant task information and enable seamless interaction through a custom tab interface. What This Workflow Does Processes incoming webhook requests from Bitrix24 task interfaces Handles authentication and secure token validation Manages application installation and placement registration Displays task data in a custom formatted view Stores and retrieves configuration settings persistently Provides user-friendly HTML interfaces for task information Setup Instructions Configure Bitrix24 webhook endpoints for the task widget Set up authentication credentials in your Bitrix24 account Install the application and register the task view tab placement Customize the task data display format as needed Deploy and test the application functionality within Bitrix24 tasks

Revit to HTML Quantity Takeoff Generator Automates extraction of wall quantities from Revit models and creates a professional interactive HTML report. Key Features Automated wall quantity analysis Calculates volumes by wall type ("Type Name") Generates interactive HTML QTO report Includes summary statistics: total elements, total and average volumes Provides detailed breakdown by element type How it works Upload a Revit file as input Workflow extracts wall quantities and types Creates and saves a ready-to-share HTML dashboard with QTO data No API keys required Runs offline Output is a professional, ready-to-use HTML report

💼 LinkedIn Job Finder Automation using Bright Data API & Google Sheets A comprehensive n8n automation that searches LinkedIn job postings using Bright Data’s API and automatically organizes results in Google Sheets for efficient job hunting and recruitment workflows. 📋 Overview This workflow provides an automated LinkedIn job search solution that collects job postings based on your search criteria and organizes them in Google Sheets. Perfect for job seekers, recruiters, HR professionals, and talent acquisition teams. ✨ Key Features 🔍 Smart Job Search:** Form-based input for city, job title, country, and job type 🛍 LinkedIn Integration:** Uses Bright Data’s LinkedIn dataset for accurate job posting data 📊 Automated Organization:** Populates Google Sheets with structured job data 📧 Real-time Processing:** Processes job search requests in real-time 📈 Data Storage:** Stores job details including company info, locations, and apply links 🔄 Batch Processing:** Handles multiple job postings efficiently ⚡ Fast & Reliable:** Built-in error handling for scraping 🎯 Customizable Filters:** Advanced job filtering based on criteria 🎯 What This Workflow Does Input Job Search Criteria:** City, job title, country, and optional job type Search Parameters:** Configurable filters and limits Output Preferences:** Google Sheets destination Processing Steps Form Submission Data Request to Bright Data API Status Monitoring Data Extraction Data Filtering Sheet Update Error Handling Output Data Points Field Description Example Job Title Position title from posting Senior Software Engineer Company Name Employer company name Tech Solutions Inc. Job Detail Job summary/description Remote position requiring 5+ years… Location Job location San Francisco, CA Company URL Company profile link View Profile Apply Link Direct application link Apply Now 🚀 Setup Instructions Prerequisites n8n instance (self-hosted or cloud) Google account with Sheets access Bright Data account with LinkedIn dataset access Steps Import the Workflow: Use JSON import in n8n Configure Bright Data: Add API credentials and dataset ID Configure Google Sheets: Create sheet, set credentials, map columns Update Workflow Settings: Replace placeholders with your actual data Test & Activate: Submit test form and verify data in Google Sheets 📖 Usage Guide Submitting Job Searches Go to your webhook URL and fill in the form with: City:** e.g., New York Job Title:** e.g., Software Engineer Country:** e.g., US Job Type:** Optional (Full-Time, Remote, etc.) Understanding Results Comprehensive job data Company info and profile links Direct application links Location and job descriptions Customizing Search Parameters Edit the Create Snapshot ID node to change: Time range (e.g., “Past month”) Result limits Company filters 🔧 Customization Options More Data Points:** Add salary, seniority, applicants, etc. Custom Form Fields:** Add filters for salary, experience, industry Multiple Sheets:** Route results by job type or location 🚨 Troubleshooting Bright Data connection failed:** Check API credentials and dataset access No job data extracted:** Verify search parameters and API limits Google Sheets permission denied:** Re-authenticate and check sharing Form not working:** Check webhook URL and field mappings Filter issues:** Review logic and data types Execution failed:** Check logs, retry logic, and network status 📊 Use Cases & Examples Job Seeker Dashboard:** Automate job search and track applications Recruitment Pipeline:** Source candidates and monitor hiring trends Market Research:** Analyze job trends and salary benchmarks HR Analytics:** Support workforce planning and competitive insights ⚙️ Advanced Configuration Batch Processing:** Queue multiple searches with delays Search History:** Track and analyze past searches Tool Integration:** Connect to CRM, Slack, databases, BI tools 📈 Performance & Limits Processing Time:** 30–60 seconds per search Concurrent Requests:** 2–3 (depends on Bright Data plan) Data Accuracy:** 95%+ Success Rate:** 90%+ Daily Capacity:** 50–200 searches Memory:** ~50MB per execution API Calls:** 3–4 Bright Data + 1 Google Sheets per search 🤝 Support & Community n8n Community:** community.n8n.io Documentation:** docs.n8n.io Bright Data Support:** Via your Bright Data dashboard GitHub Issues:** Report bugs and request features 🎯 Ready to Use! Your workflow is ready for automated LinkedIn job searching. Customize it to your recruiting or job search needs. Webhook URL: https://your-n8n-instance.com/webhook/linkedin-job-finder What Gets Extracted: * ✅ Job Title * ✅ Company Information * ✅ Location Data * ✅ Job Details * ✅ Application Links * ✅ Processing Timestamps ### Use Cases: * 🔍 Job Search Automation * 📊 Recruitment Intelligence * 📝 Market Research * 🎯 HR Analytics

Who this is for The Async Structured Bulk Data Extract with Bright Data Web Scraper workflow is designed for data engineers, market researchers, competitive intelligence teams, and automation developers who need to programmatically collect and structure high-volume data from the web using Bright Data's dataset and snapshot capabilities. This workflow is built for: Data Engineers - Building large-scale ETL pipelines from web sources Market Researchers - Collecting bulk data for analysis across competitors or products Growth Hackers & Analysts - Mining structured datasets for insights Automation Developers - Needing reliable snapshot-triggered scrapers Product Managers - Overseeing data-backed decision-making using live web information What problem is this workflow solving? Web scraping at scale often requires asynchronous operations, including waiting for data preparation and snapshots to complete. Manual handling of this process can lead to timeouts, errors, or inconsistencies in results. This workflow automates the entire process of submitting a scraping request, waiting for the snapshot, retrieving the data, and notifying downstream systems all in a structured, repeatable fashion. It solves: Asynchronous snapshot completion handling Reliable retrieval of large datasets using Bright Data Automated delivery of scraped results via webhook Disk persistence for traceability or historical analysis What this workflow does Set Bright Data Dataset ID & Request URL: Takes in the Dataset ID and Bright Data API endpoint used to trigger the scrape job HTTP Request: Sends an authenticated request to the Bright Data API to start a scraping snapshot job Wait Until Snapshot is Ready: Implements a loop or wait mechanism that checks snapshot status (e.g., polling every 30 seconds) until completion i.e ready state Download Snapshot: Downloads the structured dataset snapshot once ready Persist Response to Disk: Saves the dataset to disk for archival, review, or local processing Webhook Notification: Sends the final result or a summary of it to an external webhook 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. Update the Set Dataset Id, Request URL for setting the brand content URL. Update the Webhook HTTP Request node with the Webhook endpoint of your choice. How to customize this workflow to your needs Polling Strategy : Adjust polling interval (e.g., every 15–60 seconds) based on snapshot complexity Input Flexibility : Accept datasetId and request URL dynamically from a webhook trigger or input form Webhook Output : Send notifications to - Internal APIs – for use in dashboards Zapier/Make – for multi-step automation Persistence Save output to: Remote FTP or SFTP storage Amazon S3, Google Cloud Storage etc.

Optimize Your Top Performing Website Content with Google Analytics, Firecrawl, and InfraNodus This templates helps you extract** the top performing pages from your website using Google Analytics scrape** the content of the pages using Firecrawl API (HTTP node provided) build a knowledge graph* for all these pages with the *topics* and *gaps** identified using InfraNodus understand the main concepts and topical clusters in your top-performing content, so you can create more of it, while also identifying the content gaps — structural holes between the topics that you can use to generate new content ideas have access to a knowledge graph visualization of your top performing content to explore it using the interactive network interface How it works This template uses the InfraNodus to visualize and analyze your top performing content. It will extract the top pages from the Google Analytics data for the website you choose and scrape their text content using the high-quality Firecrawl API. Then it will ingest every page into an InfraNodus graph you specify. The graph can be used to explore the content visually. The insights from the graph, such as the main topics and gaps between them will be shown to you in the end of the workflow. You can use these insights to understand what kind of content you should focus on creating to get the highest number of views* and to establish *topical authority* in your area, which is good for *SEO* and *LLM optimization** — focusing on the topics identified in the top content discover the content gaps — which topics are not connected yet that you could link with new content ideas and publish — this caters to your audience's interests, but connects your existing ideas in a new way. So you deliver the content that's relevant but also novel. Here's a description step by step: Note:* you can replace the PDF to Text convertor node with a better quality *PDF convertor* from ConvertAPI which respects the original file layout and doesn't split text into small chunks Trigger the workflow Extract a list of top (25, 50) pages from your Google Analytics account (you'll need to connect it via the Google Cloud API) Fix the extracted data and add a correct URL prefix to each page (if your Analytics has relative paths only Loop through each page extracted Extract the text content of every page using the high-quality Firecrawl API Ingest the text content into the InfraNodus graph that you specify Once all the pages are ingested into the InfraNodus graph, access the AI insights endpoint in InfraNodus and get the information about the main topics and gaps Display this information to the user How to use You need an InfraNodus API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Requirements An InfraNodus account and API key Optional: A Google Analytics account for your property (alternatively, you can modify this workflow to provide a list of the most popular pages) Optional: A Google Cloud API access (to access the data from Google Analytic saccount — follow the n8n instructions) Optional: A Firecrawl API key API key for better quality web page scraping (otherwise, use the standard HTTP to Text node from n8n) Customizing this workflow You can customize this workflow by using a list of the URL pages you want to analyze from a Google sheet. Alternatively, you can use the Google SERP node to extract top search results for a query and get the main topics for them. For support and feedback, please, contact us at https://support.noduslabs.com To learn more about InfraNodus: https://infranodus.com

How it works: This bot operates in a continuous WhatsApp monitoring loop. It analyzes messages to detect keywords in common questions (like hours, prices, and location) and sends automatic replies with predefined information. For unrecognized questions, it directs the user to manual assistance. Set up steps: The initial setup involves integrating with the WhatsApp API, registering keywords and their respective responses, and defining the fallback flow. It takes only a few minutes to have the bot running with essential information.

How it works: This system functions by receiving expenses via webhook POST. It validates the data, stores it in Google Sheets, and, daily at 8 PM, generates and sends financial summaries. Automatic categorization simplifies the organization of expenses. Set up steps: Setup involves creating the Google Sheet, configuring the webhook, and defining the categorization rules. The process is quick and intuitive, taking about 10-15 minutes for the system to be ready to receive your expenses.

How it works This workflow simply exports all your CloudFlare domains to Google Sheet to get high overview of all of your settings. This could help for easy debugging, searching or similar needs. In flow simple pagging nodes are used to iterate over all your domains, because this list could be huge. For each host we are merging DNS & Settings and transforming them into columns for all our domains. Requirements For storing and processing of data in this flow you will need: CloudFlare.com API key/token - for retrieving your data (https://dash.cloudflare.com/:account/api-tokens) (need full access) Google Spreadsheet auth connected in your n8n Credentials Google Spreadsheet template - you can copy my sheet as starting point, start by copying it to your account Match Sheet ID in 'Export' node to your newly created. Official CloudFlare api Documentation For full details and specifications please use API documentation from: https://developers.cloudflare.com/api/ Potential API timeouts If you encounter CF API timeouts - I would suggest to only put somewhere in the loop simple sleep/wait node - for couple of seconds - and it should resolve timeouts. Google Sheet I've used simple Google Sheet feature conditional formatting to visually distinct my on|off toggles that was of my interest to easily get high overview for debuggint some of the settings on my hosts - but please use your own logic or change it completely.