This article provides a complete, practical walkthrough of the Wait Splitout Create Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   **Title:**
   Automate Your LinkedIn Prospecting: How to Enrich, Score, and Store Ideal Leads Using n8n, AI, and Google Sheets
   
   **Meta Description:**
   Discover how to automate LinkedIn lead generation with an n8n workflow that filters, scores, and stores company prospects using Ghost Genius, OpenAI, and Google Sheets. Ideal for businesses looking to scale outreach intelligently.
   
   **Keywords:**
   LinkedIn automation, lead scoring, AI prospecting, CRM automation, OpenAI lead scoring, Ghost Genius API, Google Sheets CRM, B2B lead generation, n8n workflow, sales automation
   
   ---
   
   **Article:**
   
   # Automating LinkedIn Lead Generation with AI and n8n: Smart Prospecting to Power Your Sales CRM
   
   In today’s hyper-competitive B2B environment, finding and managing high-quality sales leads is no longer a manual game—it’s a strategic advantage when automated correctly. Thanks to the power of n8n, you can streamline your entire LinkedIn lead generation pipeline using modern tools like Ghost Genius, OpenAI, and Google Sheets.
   
   This guide breaks down a powerful no-code automation that searches for companies on LinkedIn, evaluates their relevance using AI, and stores results in a Google Sheets CRM. Perfect for marketers, business developers, salespeople, and agency owners, this setup takes outbound prospecting to the next level.
   
   ---
   
   ## The Workflow Overview
   
   This n8n workflow is designed to:
   
   1. Search for relevant companies on LinkedIn.
   2. Retrieve enriched company details.
   3. Filter based on key validation criteria.
   4. Check if they already exist in your CRM.
   5. Score companies with an AI lead scoring model using OpenAI.
   6. Auto-store new leads in a central Google Sheets document.
   
   Let’s break down how each part works.
   
   ---
   
   ## Step 1: Define Your Prospecting Criteria (Set Variables)
   
   The workflow starts with a configurable node where you define your ideal lead:
   - Target industry (e.g., Growth Marketing Agencies)
   - Company size (e.g., 11–50 employees)
   - Target Location via LinkedIn Location ID
   - Your product/service (e.g., CRM implementation services)
   - Positive and negative signals relevant to your offer
   
   Why this matters: These variables are used later to refine your AI evaluations and focus only on companies that are most likely to convert.
   
   ---
   
   ## Step 2: Search LinkedIn Companies with Ghost Genius API
   
   Using the Ghost Genius API, the workflow searches for companies matching your criteria:
   - Industry keywords
   - Size range
   - Geographic location
   
   Pagination is handled smartly (max 3 pages/request), allowing the automation to loop through results in bulk while managing LinkedIn’s data limitations. By parameterizing the search, you can break down massive result sets (like 10,000 global agencies) country by country for precision targeting.
   
   ---
   
   ## Step 3: Company Enrichment and Validation
   
   Each lead is run through Ghost Genius's company data endpoint. This provides a detailed snapshot that includes:
   - Description and tagline
   - LinkedIn followers
   - Website info
   - Industries, specialties, locations
   - Funding and company size
   
   Before further processing, companies are validated through two filters:
   - Must have a valid website
   - Must have more than 200 LinkedIn followers
   
   These thresholds ensure leads have digital maturity and credibility.
   
   ---
   
   ## Step 4: De-Duplicate with Google Sheets
   
   To avoid processing duplicate companies (which can occur with similar searches), the workflow checks if a company already exists in the Google Sheet CRM using its LinkedIn ID. If it’s a new entry, it proceeds with AI scoring.
   
   ---
   
   ## Step 5: AI-Based Company Scoring with OpenAI
   
   This is where the magic happens. The enriched company data is fed into an OpenAI GPT-4 model using a carefully crafted prompt that includes your product/service, ideal customer profile, and positive/negative signals you've defined.
   
   The AI returns a numeric score (0–10) that reflects how likely the company would benefit from your offer. This score is based on:
   - Industry fit
   - Company stage and size
   - Presence of relevant pain points (e.g., customer management challenges or growth signals)
   
   You can customize the system prompt to match your domain or sales intent perfectly.
   
   ---
   
   ## Step 6: Rate-Limited Storage to Google Sheets CRM
   
   Once scored, the company is stored in a centralized Google Sheet (your CRM). Fields like name, website, LinkedIn URL, company summary, and AI score are appended automatically.
   
   To avoid rate-limit issues with Google Sheets, a 2-second wait is introduced between writes.
   
   ---
   
   ## Key Benefits
   
   - 🎯 Hyper-targeted lead selection using AI
   - 🤖 No-code automation with reusable logic
   - 📈 Scoring based on YOUR definition of a good lead
   - ❌ De-duplication prevents CRM clutter
   - 🗂️ Seamless data collection in Google Sheets CRM
   - 🔍 Human-readable summaries for quick review
   
   ---
   
   ## Setup Requirements
   
   To replicate this automation, you’ll need:
   - Ghost Genius API key (retrieve from ghostgenius.fr)
   - Google Sheets access and credentials configured on n8n
   - OpenAI API key (for GPT-4 scoring)
   - A copy of the pre-configured Google Sheets template
   
   Follow the setup instructions to configure credentials and customize the workflow’s variables.
   
   ---
   
   ## Use Cases
   
   - B2B Sales Prospecting
   - Agency Outreach Programs
   - Market Research & Qualification
   - Lead Qualification for CRM
   - Inbound Account Prioritization
   
   ---
   
   ## Third-Party APIs Used
   
   1. 🧠 OpenAI (via GPT-4) – for AI lead scoring
   2. 👥 Ghost Genius API – for LinkedIn company search and info enrichment
   3. 📊 Google Sheets API – for storing qualified leads in your CRM
   
   ---
   
   ## Final Thoughts
   
   This workflow isn’t just an automation—it’s a prospecting engine powered by intelligent filtering and scoring. Whether you're spearheading outbound SDR campaigns or vetting inbound applicants, plugging AI into your pipeline will supercharge both quality and speed.
   
   No more downloading lists or guessing which leads to prioritize. With this system, you get a ranked sheet of sales opportunities that align with your business goals.
   
   Take the time to fine-tune your filters and prompts. Once set, this workflow will deliver you intelligent, enriched leads from LinkedIn—ready for action.
   
   👉 Get started by making your copy of the Google Sheet and configuring your API keys. Your smarter CRM starts now.
   
   ---
   
   🔗 Need help or have questions? Connect with the creator, Matthieu Belin, on [LinkedIn](https://www.linkedin.com/in/matthieu-belin83/).

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.