by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
Tagged with: , , , ,
by System Admin
No description available
by System Admin
Tagged with: , , , ,
by Harshil Agrawal
No description available
by amudhan
Companion workflow for blogpost
by Harshil Agrawal
No description available
by Intuz
Disclaimer Community nodes are used, and template can only be used on self-hosted n8n instances. This n8n template from Intuz provides a complete solution to automate the process of scraping company and founder data from Y Combinator. It systematically extracts valuable information from your target search and organizes it directly into a Google Sheet, building a powerful prospecting list with minimal effort. Who's this workflow for? Sales Teams & SDRs Venture Capitalists Angel Investors Market Researchers Startup Founders How it works 1. Trigger the Scrape: You start the workflow manually whenever you want to gather new company data. 2. Scrape Y Combinator: An Apify actor automatically visits your specified Y Combinator search URL (e.g., filtered by batch, industry, or region) and scrapes the details of each company listed. 3. Retrieve Structured Data: The workflow fetches the neatly structured data from Apify, including company names, descriptions, websites, founder details, and more. 4. Log to Google Sheets: All the scraped information is added or updated as new rows in your designated Google Sheet, creating an organized and actionable database. Setup Instructions 1. Apify Configuration: In the Run an Actor node, connect your Apify account. Select the Y Combinator Directory Scraper actor. In the Custom Body field, replace {YOUR_Y_COMBINATOR_SEARCH_URL} with the actual URL from the Y Combinator website after you've applied your desired filters. You can adjust the maxCompanies value to control how many companies are scraped per run. 2. Google Sheets Configuration: In the Add data to Google Sheet node, connect your Google Sheets account. Select the Document (spreadsheet) and Sheet where you want to save the data. Make sure the sheet has the required columns listed in the "Key Requirements" section. 3. Execute the Workflow: Click the "Execute workflow" button to run the scraper and populate your Google Sheet. Key Requirements to Use This Template n8n Instance: An active n8n account (Cloud or self-hosted). Apify Account: An active Apify account with an API key. You will also need sufficient credits or a subscription plan to run the Y Combinator Directory Scraper actor. Google Account & Sheet: A Google account and a pre-made Google Sheet. The sheet must have the following columns created in advance: Company, Location, Website, LinkedIn, Founded, Description, Industry Tags, Founder 1 Name, Founder 1 LinkedIn, Founder 2 Name, and Founder 2 LinkedIn. Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started
by DevCode Journey
Who is this for? This workflow is designed for anyone who wants to automate AI-driven chat responses integrated with Google Docs and Google Sheets, using the Google Gemini (PaLM) language model via n8n. Itβs perfect for teams looking to: Automatically generate AI replies to chat messages, Pull content dynamically from Google Docs, What this Workflow Does Receives chat messages via a webhook trigger. Sends the chat input to the Google Gemini AI Chat Model for generating replies. Optionally retrieves a document from Google Docs if a URL or ID is provided. Uses an AI agent node to coordinate between the AI model and tools like Google Docs. Key Features Integration with Google Gemini (PaLM) AI for natural language understanding and response generation. Ability to fetch and use data from Google Docs dynamically. Modular structure using n8n nodes for flexibility and easy customization. Credential management for Google APIs (Docs, Gemini) via n8nβs built-in credential system. Get Your Google AI API Key Visit Google AI Studio. Click "Create API key in new project". Copy the API key that appears. Add Your Credential in n8n On the workflow canvas, go to the Connect your model (Google Gemini) node. Click the Credential dropdown and select + Create New Credential. Paste your API key into the API Key field. Click Save. Start Chatting! Go to the Example Chat node. Click the "Open Chat" button in its parameter panel. Try asking it one of the example questions: "What's your name?" "What time now in bangladesh?" "What's the weather in bangladesh?" You're now ready to chat with your personal AI agent powered by Google Gemini! π Requirements n8n instance with internet access. Google Cloud account with: Access to PaLM API (Google Gemini). Proper OAuth2 credentials configured in n8n for Google APIs. π For Help & Community πΎ Discord: n8n channel π Website: devcodejourney.com π LinkedIn: Connect with Shakil π± WhatsApp Channel: Join Now π¬ Direct Chat: Message Now
by Harshil Agrawal
No description available
by amudhan
Uses a DigitalOcean Personal Access Token to create a new Droplet. Add your personal access token and change the parameters to create droplets of different sizes. You can also specify more options; refer the API docs