This article provides a complete, practical walkthrough of the Splitout Manual 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:**  
   Automated Lead Enrichment: Searching LinkedIn Companies & Syncing to Airtable CRM with n8n
   
   **Meta Description:**  
   Discover how to automate LinkedIn company discovery and enrichment using n8n, Ghost Genius API, and Airtable. Build an efficient lead pipeline without writing code and keep your CRM updated in real-time.
   
   **Keywords:**  
   n8n automation, LinkedIn lead generation, Ghost Genius API, Airtable CRM, LinkedIn company scraper, no-code automation, CRM workflows, integrate LinkedIn with Airtable, lead enrichment automation, n8n workflow examples
   
   **Third-party APIs Used:**  
   - Ghost Genius API – for searching LinkedIn companies and fetching company details.  
   - Airtable API – for CRM integration and storing company data.
   
   ---
   
   ## Automating LinkedIn Lead Generation with n8n and Airtable
   
   Manually researching and logging companies into a CRM is a tedious yet critical part of every B2B outbound strategy. In a fast-paced world where efficiency is everything, building robust, no-code automation can be a game-changer. This is where n8n—a powerful workflow automation tool—comes in.
   
   In this article, we’ll explore a workflow that automates the process of finding targeted companies on LinkedIn via the Ghost Genius API, filters them based on relevance and activity, and stores them in an Airtable-based CRM—completely hands-free.
   
   Let’s break down this time-saving automation.
   
   ---
   
   ### Step 1: Defining Your Ideal Target
   
   The workflow begins with a manual trigger, allowing you to run the automation whenever you want. From there, the initial “Set Variables” node lets you define your search parameters:
   
   - Industry keyword: e.g., “Growth Marketing Agency”
   - Company size: using LinkedIn's internal size identifiers (e.g., “C” for 11–50 employees)
   - Location: via LinkedIn’s location IDs (e.g., "103644278" for the US)
   
   This modularity allows you to tailor your lead generation campaigns country-by-country, segment-by-segment.
   
   ---
   
   ### Step 2: Searching LinkedIn Companies via Ghost Genius API
   
   Armed with the target criteria, the “Search Companies” node makes a call to the Ghost Genius API, a powerful LinkedIn data extraction tool. Ghost Genius returns a paginated list of relevant companies matching your filters.
   
   To avoid exceeding API limits or LinkedIn’s maximum page count (around 100 pages or 1,000 companies), the process includes pagination handling and interval-based fetching every 2 seconds.
   
   **Pro Tip:** You can adjust the number of pages retrieved dynamically using the pagination settings in n8n to control batch pulls.
   
   ---
   
   ### Step 3: Processing Company Data
   
   Once you have your company listings, the next step is batch-processing each result using the “SplitInBatches” node.
   
   Then, for each individual company, a new API call is made via the “Get Company Info” node. This again uses Ghost Genius to fetch enriched details using the company’s LinkedIn URL — such as website, summary, tagline, and number of followers.
   
   Here’s where an important filtering step occurs:
   - Companies must have a non-empty website.
   - They must have more than 200 LinkedIn followers.
   
   This logic ensures you only retain reasonably established and credible businesses, weeding out empty shells or incomplete profiles.
   
   ---
   
   ### Step 4: Preventing CRM Duplicates
   
   The workflow is smart enough to avoid duplicate entries.
   
   Using the “Check If Company Exists” node, the system queries Airtable to see if the company is already in your CRM by matching a unique company ID. If the company is found, the data processing path is skipped.
   
   ---
   
   ### Step 5: Adding Cleaned Leads to Airtable CRM
   
   If a company is new, it proceeds to the final node: “Add Company to CRM.”
   
   The workflow then creates a new entry in your Airtable base, populating fields such as:
   - Company name
   - Website
   - Description & tagline
   - LinkedIn profile
   - Country (defaults to 🇺🇸 USA but can be customized)
   - Category (preset to “Growth Marketing Agency 11-50 🌍”)
   
   All company records are structured for consistency, ready for outreach or record-keeping.
   
   ---
   
   ## Why This Workflow Matters
   
   This automation streamlines the once-manual process of building your outbound list. Whether you’re a sales team, growth marketer, or solo founder, having a real-time updated CRM gives you a competitive edge in personalization and speed.
   
   With the help of n8n, Ghost Genius, and Airtable, your entire top-of-funnel pipeline becomes scalable and efficient—without a single line of code.
   
   ---
   
   ## Tools & Resources
   
   **APIs used:**
   - 🔍 [Ghost Genius API](https://ghostgenius.fr) – for searching and retrieving company details from LinkedIn  
   - 🗃 [Airtable API](https://airtable.com) – to store and manage CRM data  
   
   **Useful Resources:**
   - Ghost Genius Company Search: [Documentation](https://ghostgenius.fr/docs)
   - LinkedIn Location ID Finder: [Tool](https://ghostgenius.fr/tools/search-sales-navigator-locations-id)
   
   ---
   
   ## Final Thoughts
   
   This n8n automation is ideal for anyone wanting to build and enrich a LinkedIn-powered lead generation CRM. Simple to set up, endlessly customizable, and scalable as your outreach grows.
   
   You now have the building blocks for a fully interactive CRM engine right from your browser. Whether you're building for one region or looking to tap into global markets, this approach will save hours of research and improve lead quality significantly.
   
   Need help setting up or want to customize it for different industries? Reach out to workflow 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.