This article provides a complete, practical walkthrough of the Splitout Code Create 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 B2B Lead Generation: How This n8n Workflow Identifies and Enriches Company Decision Makers
   
   Meta Description:
   Discover how a powerful n8n workflow automates B2B lead generation by enriching company data, finding decision makers, classifying roles using AI, verifying email addresses, and maintaining an up-to-date leads database.
   
   Keywords:
   n8n workflow, B2B lead generation, Apollo API, Google Sheets, decision maker discovery, contact enrichment, email verification, GPT-4, OpenAI, sales automation, intelligent lead capture
   
   Third-Party APIs Used:
   
   1. Apollo.io API
      - /api/v1/organizations/enrich
      - /api/v1/mixed_companies/search
      - /api/v1/mixed_people/search
      - /api/v1/people/bulk_match
   
   2. Google Sheets API (via n8n's Google Sheets node)
   
   3. Slack API (via n8n's Slack node using OAuth2 authentication)
   
   4. OpenAI (via LangChain / n8n's Langchain OpenAI node) using GPT-4O model
   
   —
   
   Article:
   
   📊 Automating Lead Generation: A No-Code Workflow to Discover and Enrich B2B Decision Makers
   
   In the ever-evolving world of B2B outreach, efficiently discovering high-quality leads can be the key to unlocking better customer relationships and increased revenue. But traditional lead generation—manually scouring company websites, LinkedIn profiles, and business directories—is time-consuming and error-prone.
   
   This is where workflow automation tools like n8n shine.
   
   In this article, we explore a fully-automated n8n workflow designed to streamline decision-maker discovery and enrichment. This end-to-end system extracts company data, finds executive contacts, classifies departments using AI, verifies email addresses, and logs everything into a Google Sheets–based CRM—complete with Slack alerts and weekly reporting.
   
   Let’s break down how it works and what makes this stack incredibly powerful.
   
   🔁 Trigger: Google Sheets as the Entry Point
   
   The entire workflow begins when a row is added or edited in the Companies tab of a connected Google Sheet. Users can input a company name alone, or optionally add the company’s website. This triggers n8n to initiate the data enrichment sequence through a Google Sheets Trigger node.
   
   To avoid redundant processing, a filter ensures only companies with a Status not marked as “Processed” are considered.
   
   🏢 Company Data Enrichment via Apollo.io
   
   When a domain is not pre-provided, the Apollo.io Organizations Search API is used to retrieve the company website and domain based on the name.
   
   Once clarified (with a fallback human-in-the-loop Slack notification for manual review and correction), Apollo’s Organization Enrichment endpoint is queried using the verified domain. This provides contextual data such as:
   
   - Revenue
   - Industry
   - Size
   - LinkedIn URL
   - Description
   - Headquarters
   - Funding rounds
   
   An OpenAI GPT-4O LLM is then prompted to distill the company's business description into a one-line summary—concise, searchable, and ready to populate the CRM.
   
   The enriched data is logged into the Companies tab in Google Sheets. Once completed, Status is updated to “Processed” (unless later edited, triggering re-processing).
   
   👥 Discovering Decision Makers
   
   The next goal? Finding people like founders, CEOs, CTOs, VPs, and directors.
   
   Using the Apollo.io Mixed People Search API, this workflow queries up to 1,000 company domains in a single batch—thanks to n8n’s Split-In-Batches node and a custom code module that dynamically generates the correct query URL for Apollo’s endpoint.
   
   Once results are retrieved, the workflow splits out individual people from the API responses and feeds them into another LLM node for job title classification.
   
   🧠 LLM-Powered Department Classification
   
   The n8n-LangChain node powered by OpenAI’s GPT-4O intelligently assigns each decision-maker to a department based solely on their job title. If a person is a “Chief Revenue Officer,” it tags them under Sales—if they're a “VP of Product,” it classifies them under Product.
   
   The result? Richer segmentation in your leads database for highly targeted outreach.
   
   📧 Enriching Contact Information
   
   While Apollo’s person search gives you names, job titles, and LinkedIn URLs, email addresses require a second step.
   
   The workflow creates 10-person batches and calls Apollo’s Bulk People Enrichment API to retrieve email addresses and verification statuses. This bulk-mode integration allows for API cost-efficiency and scalability.
   
   Enriched contacts are upserted into the Contacts tab in the Google Sheet, creating a smart, dynamic record of:
   
   - Name
   - Job Title
   - Company Info
   - Start Date
   - LinkedIn URL
   - Department
   - Email Address
   - Email Verification Status
   
   ✔️ Verified Contact Filtering
   
   Leads with verified emails are automatically flagged in Google Sheets using a built-in formula:
   
   =FILTER(Contacts!A2:M, Contacts!L2:L = "Yes")
   
   This ensures your outreach teams can focus solely on contacts with deliverable email addresses—boosting campaign effectiveness and minimizing bounce rates.
   
   📆 Weekly Lead Generation Report via Slack
   
   Every week, a scheduled trigger sums up the number of new verified leads generated in the last seven days. n8n pulls data from the “Contacts (Verified)” tab, calculates the metrics (unique companies and contacts), and sends a clean summary message to a designated Slack channel.
   
   This keeps stakeholders informed and connected to the value this automation is delivering—without lifting a finger.
   
   ⚙️ Summary of Technologies and APIs
   
   This workflow connects several modern tools:
   
   - Apollo.io API (for B2B company and contact data)
   - OpenAI GPT-4o (for job title and business description summarization)
   - Google Sheets (data input/output layer)
   - Slack (for human-in-the-loop correction as well as weekly reporting)
   - n8n (the orchestration engine tying everything together)
   
   💡 Final Thoughts
   
   This is not just a workflow—it’s an automated lead generation engine. With n8n, data-savvy teams can eliminate dozens of hours per week in manual research and create high-quality lead lists that drive better B2B results.
   
   Whether you're a sales team leader, growth marketer, or founder looking to scale outreach, a system like this gives you a blueprint for scaling with intelligence and ease.
   
   Want to try it yourself? You can get started using this Google Sheets template.
   
   —
   
   Stay tuned for more articles on no-code workflow automation using n8n, APIs, and AI.

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.