This article provides a complete, practical walkthrough of the Wait Splitout Automation Scheduled 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:**  
   Automating LinkedIn Lead Generation: A Deep Dive into the HDW Lead Geländewagen n8n Workflow  
   
   **Meta Description:**  
   Explore how the HDW Lead Geländewagen n8n workflow streamlines LinkedIn lead generation using AI, Google Sheets, and multiple data enrichment APIs to automate outreach from ICP to personalized messaging.
   
   **Keywords:**  
   LinkedIn automation, n8n workflow, lead generation, sales automation, AI outreach, HDW API, OpenAI GPT-4o, Google Sheets, lead scoring, LinkedIn messaging  
   
   ---
   
   **HDW Lead Geländewagen: A Fully Automated LinkedIn Lead Generation System Using n8n**
   
   In today's highly competitive B2B outreach landscape, sales teams strive to optimize the lead generation process while maintaining a personalized, data-driven approach. The HDW Lead Geländewagen workflow is a sophisticated automation built using n8n, an open-source workflow automation tool. This powerful setup integrates AI, LinkedIn data scraping, and Google Sheets to automate an end-to-end lead generation funnel—from Ideal Customer Profile (ICP) parsing to personalized messaging on LinkedIn.
   
   Below, we’ll unpack the stages of this workflow, the technology behind it, and how it enables a scalable yet personalized lead generation pipeline.
   
   ---
   
   ### Harnessing the Power of AI for ICP to Filter Conversion
   
   It all begins with a description of the Ideal Customer Profile (ICP). As soon as a user enters ICP text, the OpenAI GPT-4o model (via the LangChain integration with n8n) processes it to generate structured LinkedIn Sales Navigator filter parameters (like job titles, industries, company sizes, and locations).
   
   These parameters are parsed through a structured output parser and passed to the HDW LinkedIn API to run advanced LinkedIn profile searches. The resulting leads are automatically fetched and enriched.
   
   ---
   
   ### Data Harvesting and Enrichment in Google Sheets
   
   Data from LinkedIn, including URNs, names, current companies, headlines, and other key details, is stored directly into a connected Google Sheet, which serves as the central database. This spreadsheet is continuously updated to maintain an accurate, ever-growing list of leads.
   
   To enrich the data further, a series of follow-up steps are triggered:
   
   - **Company Website Retrieval**: If not already available, the company website is fetched via the HDW API using either LinkedIn data or Google search queries.
   - **Research and Summary Generation**: AI agents using the OpenAI GPT-4o model summarize:
     - LinkedIn posts from the lead
     - LinkedIn posts from their company
     - Company news from Google
     - Company website content via sitemap and parser tools
   
   These summaries are appended to the Google Sheet, giving the sales team contextual insights without manual research.
   
   ---
   
   ### Lead Scoring and Contact Prioritization
   
   An important step in the workflow is automatically scoring each lead using content analysis via OpenAI. Parameters like product relevance, news mentions, and post content are analyzed to produce a lead score from 1 to 10.
   
   After sorting leads by score, the workflow limits the number of connection requests (default: 20 per day; 200 per week) to remain within LinkedIn’s outreach limits. This helps maintain account safety and outreach quality.
   
   ---
   
   ### Automated LinkedIn Engagement
   
   Once the highest-scoring leads are identified, HDW’s LinkedIn API integration sends connection requests automatically. If a connection is accepted, a message (currently, “Hello”) is sent. All connection-related activity—requests, confirmations, and messages—is tracked and updated in Google Sheets.
   
   This ensures no lead falls through the cracks and supports seamless progression from cold connect to conversation.
   
   ---
   
   ### Customization and Extendibility
   
   The entire workflow is diagrammed and annotated using sticky notes within n8n for easy understanding and customization. Highlights include:
   
   - Prompts for GPT models can be edited to align with your product niche.
   - Contact request limits and schedules can be adjusted.
   - Scoring criteria can be tailored to specific sales goals or customer attributes.
   
   With OpenAI used extensively to summarize text, interpret behavior, and even mimic basic sales intelligence, this setup reduces the need for manual investigation traditionally handled by SDRs (Sales Development Representatives).
   
   ---
   
   ### Benefits of the Workflow
   
   ✅ Full automation from ICP to message  
   ✅ Adaptive and extendible structure  
   ✅ Human-like intelligence with AI summarization  
   ✅ GDPR-conscious (focuses on publicly available data)  
   ✅ Transparency and auditability via Google Sheets  
   
   ---
   
   ### Third-Party APIs & Tools Used
   
   1. **OpenAI GPT-4o** (via LangChain) – For ICP interpretation, summarization, and lead scoring  
   2. **HDW LinkedIn API** – To search, extract, and manage LinkedIn data and activities  
   3. **Google Sheets API** – Acts as the central database for storage and tracking  
   4. **HDW Web Parser Tool** – Fetches and parses information from company websites  
   5. **HDW Google Search API** – Retrieves company news or websites via keyword search  
   
   ---
   
   ### Final Thoughts
   
   The HDW Lead Geländewagen n8n workflow is a prime example of intelligent B2B automation. It empowers sales teams to proactively identify and engage high-potential leads, while significantly reducing manual tasks.
   
   With AI at its core, the workflow not only identifies relevant prospects but also provides crucial context for personalized engagement — all on autopilot.
   
   Whether you're scaling a startup or optimizing enterprise sales, this solution offers a glimpse into the future of smart lead generation.
   
   ---
   
   💡 Interested in replicating or customizing this workflow for your own business? You’ll need accounts with **OpenAI**, **LinkedIn (via HDW)**, and **Google Sheets**, and access to n8n's hosted or self-hosted platform. Ready, set, automate.

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.