This article provides a complete, practical walkthrough of the Splitout Filter Export 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 Qualification with n8n: A Smart Workflow for Sales Teams
   
   **Meta Description:**  
   Discover how a powerful n8n workflow integrates Leadfeeder, Clearbit, and Google Sheets to automate lead qualification using company size and engagement metrics—streamlining your B2B sales process.
   
   **Keywords:**  
   n8n automation, Leadfeeder integration, Clearbit enrichment, Google Sheets CRM, B2B lead scoring, automated lead qualification, sales automation tools, n8n workflow tutorial, lead generation workflow, SaaS lead enrichment
   
   ---
   
   ## Automating B2B Lead Qualification with n8n: A Smart Workflow for Sales Teams
   
   In today's data-driven environment, effective sales efforts heavily rely on real-time insights and the ability to identify high-value leads efficiently. Manual lead generation and prioritization can take hours, if not days, to sort through and often result in missed opportunities.
   
   Thanks to automation platforms like n8n, sales teams can supercharge their workflows by building integrations across key services such as Leadfeeder, Clearbit, and Google Sheets—streamlining lead sourcing, enrichment, qualification, and storage in one seamless process.
   
   In this article, we’ll walk through an n8n workflow that automates B2B lead qualification by filtering for company size and engagement, enriching leads with third-party data, and saving qualified entries directly to a Google Sheet for immediate sales follow-up.
   
   ---
   
   ### Workflow Breakdown
   
   Let’s explore how this workflow functions step by step:
   
   ---
   
   #### 1. Scheduled Execution  
   The workflow begins with a **Schedule Trigger** node, set to execute daily at 7 AM. Automating this timing ensures your leads are updated every morning with fresh data from the previous day.
   
   ---
   
   #### 2. Leadfeeder Account Setup  
   Next, a **Set** node defines your configuration parameters:
   - An array of active Leadfeeder accounts you want data from (e.g., "n8n")
   - The target Google Sheets URL where qualified leads will be stored
   
   These settings make your workflow dynamic and reusable across multiple accounts or sheets.
   
   ---
   
   #### 3. Fetching Accounts and Leads  
   - A **HTTP Request** pulls in your Leadfeeder accounts.
   - A **Split Out** node iterates through each account.
   - A **Filter** ensures only pre-specified accounts (like "n8n") are used.
   - For each valid account, a **Get Leads** HTTP Request fetches the company visits from Leadfeeder over the last 24 hours.
   
   ---
   
   #### 4. Lead Filtering by Engagement  
   Next, the leads are split into individual records using another **Split Out** node. A **Filter** follows, catching only those with more than 3 visits to your website—indicating higher interest.
   
   This helps exclude low-engagement leads unlikely to convert.
   
   ---
   
   #### 5. Data Enrichment with Clearbit  
   Filtered leads are passed to the **Clearbit** node, which enriches them with up-to-date data including:
   - Company size  
   - Social media handles (LinkedIn, Twitter)  
   - Company description  
   - Technologies used  
   - Revenue estimates
   
   This context is invaluable for segmentation and outreach.
   
   ---
   
   #### 6. Filtering by Company Size  
   In our use case, we’re interested in mid-to-large B2B prospects. As such, the enriched data is sent through another **Filter** node allowing only leads from companies with more than 100 employees to pass through.
   
   This ensures your sales team focuses on leads with tangible potential.
   
   ---
   
   #### 7. Exporting to Google Sheets  
   The final step pushes the qualified, enriched leads into a predefined **Google Sheet** using n8n’s **Google Sheets** node.
   
   Key fields saved include:
   - Company name & domain  
   - Visit count & lead quality  
   - Social media handles  
   - Employee count  
   - Company description  
   
   By using the "append or update" mode, the workflow ensures no duplicates are created while keeping your sheet current.
   
   ---
   
   ### Customization: Make It Yours
   
   The design includes thoughtfully placed sticky notes to guide users on how to customize:
   - The schedule (on the trigger node)
   - Lead engagement threshold
   - Company qualification criteria (e.g., employee count)
   - Google Sheets integration
   
   These enhancements empower users of varying technical skills to tweak the workflow without breaking it.
   
   ---
   
   ### Benefits of This Automated Workflow
   
   ✅ Saves time by eliminating manual lead filtering  
   ✅ Ensures consistent lead scoring and qualification  
   ✅ Provides sales with enriched lead data for better targeting  
   ✅ Keeps your CRM or lead sheet synchronized daily  
   ✅ Easy to scale across multiple Leadfeeder accounts  
   
   ---
   
   ### Third-Party APIs & Services Used
   
   This workflow makes use of the following external tools:
   
   1. **Leadfeeder API** – To pull visit information and company data of website visitors.
   2. **Clearbit API** – For enriching companies with financial, social, and demographic data.
   3. **Google Sheets API** – For appending or updating rows with final lead records.
   
   By stitching these services together in n8n, you're able to create an intelligent data pipeline—automated and tailored to your sales funnel.
   
   ---
   
   ### Final Thoughts
   
   This n8n workflow exemplifies how low-code automation can revolutionize sales operations. With a daily pipeline that automatically qualifies and stores high-potential leads, your B2B sales team can stay focused on converting instead of filtering.
   
   Whether you're a sales ops specialist, growth hacker, or marketing automation enthusiast, this use case showcases how data, when automated and enriched properly, can drive measurable impact.
   
   Ready to build it yourself? Download the workflow, plug in your credentials, and let automation work its magic.
   
   --- 
   
   Feel free to reach out if you'd like help adapting this workflow to your CRM or scoring model!

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.