Manual Stickynote Automation Webhook – Business Process Automation | Complete n8n Webhook Guide (Intermediate)
This article provides a complete, practical walkthrough of the Manual Stickynote Automation 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
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
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Show n8n JSON
Title: Automated Lead Generation with n8n: Scrape, Enrich, and Store Leads in Seconds Meta Description: Discover how to automate your lead generation process using n8n. This workflow scrapes, filters, enriches, and saves leads directly into Airtable—no manual effort required. Keywords: n8n, lead generation automation, Airtable, n8n workflow, scrape leads, enrich leads, no-code automation, sales automation, B2B leads, automated data entry Third-Party APIs & Services Used: - Airtable API - (Placeholder) Lead Scraper API — Custom or third-party lead data provider (unspecified HTTP request endpoint) Article: 🌟 Automated Lead Generation with n8n: Scrape, Enrich, and Save Leads Effortlessly In today’s competitive sales landscape, speed and accuracy in lead generation are essential. With the rise of no-code automation tools, repetitive and time-consuming tasks can now be handled by intelligent workflows. One such powerful solution is n8n — an extendable workflow automation tool that brings together various apps and services. In this article, we’ll explore a dynamic n8n workflow template called “Lead Generation System,” which enables sales and marketing teams to: - Automatically retrieve high-quality leads via a scraping API - Filter out incomplete leads - Enrich data fields - Save structured contact information directly to Airtable Let’s break down this automated lead generation workflow and see how it functions. 🚀 Workflow Overview This templated workflow is built to get “thousands of enriched leads in seconds,” as its sticky note suggests. It is composed of several key steps: 1. Trigger the workflow manually 2. Scrape data from a lead provider 3. Filter out entries without emails 4. Structure and transform data fields 5. Store the leads in an Airtable database 💡 Step-by-Step Breakdown 1. Manual Trigger The process begins with a Manual Trigger node (“When clicking ‘Test workflow’”). This allows the workflow to be started manually for testing or on-demand campaigns. 2. Scrape Leads Next, a custom HTTP Request node named “Scrape Leads” makes a POST request to a third-party API (the exact URL is left blank for configuration) that delivers a bulk list of leads. The body of the request specifies the need for both personal and work emails and requests 500 records. The assumed third-party lead scraping service provides data such as: - First and last names - Email addresses and statuses - LinkedIn URLs - Job titles - Company names and websites - Location data 3. Filter Out Leads Without Email Addresses Once the lead data is scraped, it passes through an “If” node labeled “Filter leads without email.” This step ensures that only records with valid email addresses proceed further. This is critical since email is the primary communication channel for most outreach campaigns. 4. Edit and Standardize Fields The “Edit Fields” node uses a Set function to reorganize and prepare the data fields for storage. Each field is explicitly assigned based on the expected schema for the Airtable database. This includes mapping: - first_name - last_name - email - email_status - linkedin_url - headline - current_job_title - organization - organization_website - organization_linkedin_url - country - city This transformation helps maintain a clean and standardized dataset. 5. Store Leads in Airtable Finally, in the “Save Leads in database” node, enriched leads are saved to an Airtable base titled “Lead Gen - Mastersheet” under the “Leads” table. This Airtable integration is set up using an Airtable Personal Access Token, allowing the workflow to insert new rows of lead data aligned with a predefined schema. As a result, users get structured, email-verified leads with their entire professional profile and organizational info saved cleanly in their CRM or sales dashboard. 🛠️ Tools at Work This workflow demonstrates the power of integrating tools like: - n8n: for building, automating, and managing workflows - Airtable API: for storing structured lead data - Third-party lead scraping service/API: for sourcing lead information. (URL and provider not specified in template) 🔗 How to Start Using This Template This workflow is designed by Not Another Marketer and comes with a helpful README sticky note guiding users to: - A full setup guide: https://notanothermarketer.gitbook.io/ - Their homepage: https://notanothermarketer.com - Support on social platform X (formerly Twitter) To use it, simply load the template into your n8n environment, plug in your scraping API endpoint, configure your Airtable credentials, and start generating leads with the click of a button. 🤖 Why Use n8n for Lead Automation? Compared to other tools, n8n’s flexibility, visual workflow builder, and library of over 350 app integrations let you design exactly the automation you need. By building a smart, scalable lead generation pipeline like this one, teams save hours of manual prospecting and minimize data entry errors. In conclusion, this lead generation system is a fast, effective, and low-code solution for modern marketers and salespeople aiming to scale their outreach. With minimal setup, you can harness real-time scraping and Airtable integration to supercharge your sales pipeline. 📈 Get started today and watch your contact list grow — automatically. — Written by your AI automation assistant.
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- 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.