by Yaron Been
Automated workflow that transforms BuiltWith technology data into actionable sales leads in Trello, creating a visual sales pipeline. 🚀 What It Does Converts tech stack data into Trello cards Organizes leads by technology stack Tracks sales pipeline stages Enables team collaboration Updates automatically 🎯 Perfect For Sales teams Business development Account executives Tech startups Digital agencies ⚙️ Key Benefits ✅ Visual sales pipeline ✅ Easy lead qualification ✅ Team collaboration ✅ Technology-based filtering ✅ Automated data entry 🔧 What You Need BuiltWith API access Trello account n8n instance Google account (for authentication) 📊 Data Mapped to Trello Company details Technology stack Contact information Website metrics Custom labels 🛠️ Setup & Support Quick Setup Start in 20 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Turn technology intelligence into sales opportunities with automated lead management.
by n8n Team
This workflow automatically syncs your Zendesk tickets to your HubSpot contacts. Every 5 minutes, your HubSpot account collects all the newly modified data and updates it into your Zendesk account, updating the current tickets or creating new ones. Prerequisites Zendesk account and Zendesk credentials HubSpot account and HubSpot credentials How it works Cron node triggers the workflow every 5 minutes. Function Item node collects all the tickets received after the last execution timestamp. HubSpot node collects all the recently modified companies. Zendesk node checks all the Zendesk tickets associated with those companies. Merge by key node merges the Zendesk and Hubspot data related to those companies. If node splits the workflow conditionally, based on data received. If the company already exists in, Zendesk node updates organization’sdata. If the company does not exist yet, Zendesk node will create an organization. The Function Item node sets the new last execution timestamp.
by n8n Team
This workflow syncs Shopify customers to your HubSpot account as contacts. Whenever somebody makes a purchase on Shopify, it automatically adds them as a new customer to your Hubspot account if the customer doesn’t exist yet. Also, this workflow creates or updates contacts from new paid orders on Shopify by adding the amount and order close date of the deal. Prerequisites Shopify account and Shopify credentials HubSpot account and HubSpot credentials How it works Shopify trigger starts the workflow whenever an order is updated. HubSpot node creates or updates the contact who made the order update. Set node sorts and passes only the userid. Merge node merges data of both inputs, the order and the customer. Hubspot node looks up if the order already exists. If node splits the workflow conditionally, based on data received. If the order is new, the new deal is created in the Hubspot node.
by Yaron Been
Automated system to track and analyze technology stacks used by target companies, helping identify decision-makers and technology trends. 🚀 What It Does Tracks technology stack of target companies Identifies key decision-makers (CTOs, Tech Leads) Monitors technology changes and updates Provides competitive intelligence Generates actionable insights 🎯 Perfect For B2B SaaS companies Technology vendors Sales and business development teams Competitive intelligence analysts Market researchers ⚙️ Key Benefits ✅ Identify potential customers ✅ Stay ahead of technology trends ✅ Target decision-makers effectively ✅ Monitor competitor technology stacks ✅ Data-driven sales strategies 🔧 What You Need BuiltWith API key n8n instance CRM integration (optional) Email/Slack for alerts 📊 Data Tracked Company technologies Hosting providers Frameworks and libraries Analytics tools Marketing technologies 🛠️ Setup & Support Quick Setup Deploy in 20 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Gain a competitive edge by understanding the technology landscape of your target market.
by Airtop
Extracting LinkedIn Profile Information Use Case Manually copying data from LinkedIn profiles is time-consuming and error-prone. This automation helps you extract structured, detailed information from any public LinkedIn profile—enabling fast enrichment, hiring research, or lead scoring. What This Automation Does This automation extracts profile details from a LinkedIn URL using the following input parameters: airtop_profile**: The name of your Airtop Profile connected to LinkedIn. linkedin_url**: The URL of the LinkedIn profile you want to extract data from. How It Works Starts with a form trigger or via another workflow. Assigns the LinkedIn URL and Airtop profile variables. Opens the LinkedIn profile in a real browser session using Airtop. Uses an AI prompt to extract structured information, including: Name, headline, location Current company and position About section, experience, and education history Skills, certifications, languages, connections, and recommendations Returns structured JSON ready for further use or storage. Setup Requirements Airtop API Key — free to generate. An Airtop Profile connected to LinkedIn (requires one-time login). Next Steps Sync with CRM**: Push extracted data into HubSpot, Salesforce, or Airtable for lead enrichment. Combine with Search Automation**: Use with a LinkedIn search scraper to process profiles in bulk. Adapt to Other Platforms**: Customize the prompt to extract structured data from GitHub, Twitter, or company sites. Read more about the Extract Linkedin Profile Information automation.
by Airtop
Scoring LinkedIn Profiles Against Your ICP Use Case This automation scores individual LinkedIn profiles against your Ideal Customer Profile (ICP) based on interest in AI, technical depth, and seniority level. It's ideal for prioritizing leads and understanding how well a person fits your ICP criteria. What This Automation Does Given a LinkedIn profile and an Airtop profile, it: Extracts relevant data from the person's profile Determines levels of AI interest, seniority, and technical depth Calculates an ICP score based on weighted criteria Returns the full enriched profile with the score Input parameters: LinkedIn Profile URL** (e.g., https://linkedin.com/in/janedoe) Airtop Profile** connected to LinkedIn ICP scoring method** in the Airtop node prompt Output fields in JSON format: Full name, job title, employer, company LinkedIn URL, location, number of connections and followers, about section content and more Calculated ICP Score (out of 95) How It Works Form Trigger or Workflow Trigger: Accepts input from either a form or another workflow. Parameter Assignment: Ensures proper variable names for downstream nodes. Airtop Enrichment Tool: Extracts and scores the person based on a detailed prompt. Scoring: Uses this point system: AI Interest: beginner (5), intermediate (10), advanced (25), expert (35) Technical Depth: basic (5), intermediate (15), advanced (25), expert (35) Seniority Level: junior (5), mid-level (15), senior (25), executive (30) Output Formatting: Cleans and returns the result as JSON. Setup Requirements IMPORTANT: Enter your ICP scoring method in the prompt field of the Airtop node Airtop Profile connected to LinkedIn. Airtop API credentials configured in n8n. Optional: a front-end form to collect profile URLs and trigger the automation. Next Steps Embed in CRM**: Trigger this automation on new leads to auto-score them. Batch Process Leads**: Run it over a list of profile URLs for segmentation. Customize Scoring**: Adjust point weights based on your sales priorities. Read more about ICP Scoring with Airtop and n8n
by Ricardo Espinozaas
Use Case When tracking your contacts and leads in Hubspot CRM, every new contact might be a potential customer. To guarantee that you're keeping the overview you'd normally need to look at every new lead that is coming in manually to identify high-quality leads to prioritize their engagement and optimize the sales process. This workflow saves the work and does it for you. What this workflow does The workflow runs every 5 minutes. On every run, it checks the Hubspot CRM for contacts that were added since the last check. It then checks if they meet certain criteria (in this case if they are making +5m annual revenue) and alerts you in Slack for every match. Setup Add Hubspot, and Slack credentials. Click on Test workflow. How to adjust this workflow to your needs Change the schedule interval Adjust the criteria to send alerts
by Airtop
Scoring LinkedIn Profiles Against Your ICP Use Case This automation scores individual LinkedIn profiles against your Ideal Customer Profile (ICP) based on interest in AI, technical depth, and seniority level. It's ideal for prioritizing leads and understanding how well a person fits your ICP criteria. What This Automation Does Given a LinkedIn profile and an Airtop profile, it: Extracts relevant data from the person's profile Determines levels of AI interest, seniority, and technical depth Calculates an ICP score based on weighted criteria Returns the full enriched profile with the score Input parameters: LinkedIn Profile URL** (e.g., https://linkedin.com/in/janedoe) Airtop Profile** connected to LinkedIn ICP scoring method** in the Airtop node prompt Output fields in JSON format: Full name, job title, employer, company LinkedIn URL, location, number of connections and followers, about section content and more Calculated ICP Score (out of 100) How It Works Form Trigger or Workflow Trigger: Accepts input from either a form or another workflow. Parameter Assignment: Ensures proper variable names for downstream nodes. Airtop Enrichment Tool: Extracts and scores the person based on a detailed prompt. Scoring: Uses this point system: AI Interest: beginner (5), intermediate (10), advanced (25), expert (35) Technical Depth: basic (5), intermediate (15), advanced (25), expert (35) Seniority Level: junior (5), mid-level (15), senior (25), executive (30) Output Formatting: Cleans and returns the result as JSON. Setup Requirements IMPORTANT: Enter your ICP scoring method in the prompt field of the Airtop node Airtop Profile connected to LinkedIn. Airtop API credentials configured in n8n. Optional: a front-end form to collect profile URLs and trigger the automation. Next Steps Embed in CRM**: Trigger this automation on new leads to auto-score them. Batch Process Leads**: Run it over a list of profile URLs for segmentation. Customize Scoring**: Adjust point weights based on your sales priorities. Read more about Scoring LinkedIn Profiles Against Your ICP
by Not Another Marketer
You Don’t Need More Tools. You Just Need the Right Leads. Why spend $1,000s on lead gen when your perfect leads are already waiting in Apollo? You’ve already filtered the ideal prospects. You know who they are, where they work, and what they do. Now imagine turning that list into enriched, ready-to-contact leads—without paying pricey Apollo's recurring subscription (spoiler: you will pay only 0.60$ per 500 leads). From Filter to Outreach-Ready in Seconds With the Lead Generation System, you just drop your Apollo search URL. The workflow does the rest: ✅ Scrapes all matching contacts from your Apollo filter ✅ Enriches and organizes the data (names, roles, emails, LinkedIns, companies, etc.) ✅ Delivers the final lead list to Airtable—or your CRM of choice No more manual exports. No CSV mess. No VA needed. Just qualified leads, cleaned and ready to go. Perfect For Founders doing DIY outbound Growth marketers scaling cold email Agencies running lead-gen for clients Anyone tired of paying too much for messy, outdated lists Setup Guide I built a step-by-step guide to setup this workflow in 5 to 10 minutes, available here: https://notanothermarketer.gitbook.io/home/templates/lead-generation This template is free. Enjoy!
by Danielle Gomes
Automatically classify incoming leads based on the sentiment of their message using Google Gemini, store them in Supabase by category, and send tailored WhatsApp messages via the official WhatsApp Cloud API. ✅ Use Case: This workflow is ideal for sales, onboarding, and customer support teams who want to: Understand the tone and urgency of each lead Prioritize hot leads instantly Send smart, automatic WhatsApp replies based on user sentiment 🧠 How it works: Capture lead via a Typeform webhook Clean and structure the data (name, email, message, etc.) Run sentiment analysis using Google Gemini to classify the message as: Positive → Hot Lead Neutral → Warm Lead Negative → Cold Lead Store lead data in Supabase under the corresponding category Merge data to unify flow paths Send WhatsApp message using the official WhatsApp Cloud API, with a custom reply for each sentiment result 🔧 Tools used: Typeform (incoming data) Google Gemini (AI-based sentiment classification) Supabase (database) WhatsApp Cloud API (response automation) 🏷 Tags: AI, Sentiment Analysis, Lead Qualification, Supabase, WhatsApp, Gemini, Typeform, CRM, Automation, Customer Engagement
by Airtop
Automating LinkedIn Enrichment and ICP Scoring Use Case This automation enriches a person’s data using LinkedIn and calculates an Ideal Customer Profile (ICP) score based on their professional presence. It is particularly useful for lead qualification, contact research, and targeted outreach. What This Automation Does The automation processes the following input parameters: Person Name**: Full name of the individual. Work Email**: Business email address to validate corporate identity. Airtop Profile (connected to Linkedin)**: A LinkedIn-authenticated Airtop Profile for enrichment. How It Works Email Filtering: Checks if the email is corporate (excludes free and personal domains). LinkedIn Profile Discovery: Searches and verifies the correct LinkedIn URL using Airtop. Data Enrichment: Extracts professional details from the LinkedIn profile. ICP Scoring: Calculates an ICP score based on extracted data and profile context. Merge Outputs: Consolidates enriched profile data and ICP results into a single output. Setup Requirements Airtop API Key An Airtop Profile authenticated on LinkedIn. Next Steps Combine with CRM Integration**: Push enriched and scored data into CRMs like HubSpot or Salesforce. Batch Processing**: Automate for lists of leads using Airtop + n8n or Airtop SDK. Scoring Customization**: Adjust scoring logic to reflect your ideal customer attributes more precisely. Read more about data enrichment and ICP scoring
by David Olusola
⚡️ How It Works This workflow captures form submissions from your website, formats the data, and automatically creates a new entry in your Notion CRM database. It eliminates manual copy-pasting and keeps your leads or requests organised in one place. 🛠 Setup Steps Webhook Node • Create a webhook in n8n. • Connect your website form to POST submissions to this webhook URL. Code Node • Formats the incoming data to match your Notion database structure. • You can customise the fields in the code to suit your specific form inputs. Notion Node (Create Page) • Connect your Notion account. • Choose your target database. • Map each field from the Code node output to your Notion database properties. Test • Submit a test form entry. • Confirm the data appears correctly in Notion. ⸻ 👥 Who It’s For ✅ Freelancers collecting project inquiries ✅ Agencies managing client onboarding forms ✅ Business owners wanting organised lead capture ✅ Teams that use Notion as their central CRM or task manager ✅ Anyone tired of manually transferring form data into Notion