Automated Lead Generation from Digital Footprints with Decodo & Airtable

Stop manually searching Google for sales leads. Start listening to the internet.

This advanced workflow automatically identifies, qualifies, and enriches high-value leads by searching for their digital footprints (i.e., specific technology use or public directories). It uses a robust Find/Create/Conditional Update database pattern to prevent duplicates and ensure you only spend credits on enriching incomplete records.

The workflow provides a fully persistent lead record, updating the same Airtable row as new data is found across multiple search steps.

✨ Key Features

• Persistent Data Integrity: Uses a dedicated Loop Over Items structure to run the Find/Create/Update logic sequentially for every lead, guaranteeing no data is lost or duplicated.
• Conditional Enrichment: A smart gate checks the Airtable record: if the high-value email field is empty, the workflow proceeds to the expensive scraping steps. If it is already complete, it skips the scrape.
• Targeted Scraping: Executes precise Google Dorks (via Decodo) to find initial leads and then targets the specific Contact Us page for deep email extraction.
• Database-as-a-State-Machine: Airtable acts as the single source of truth, logging the initial lead status and updating the same row across several enrichment phases.
• Final Output: Delivers the fully enriched lead data (Domain, Primary Email, Contact Page URL) to a final notification channel.

⚙️ How it Works (The Find/Create/Update Loop)

1. Search & Filter: The workflow is manually triggered and uses the Config variables to execute a wide-scope Google Search via Decodo. The results are filtered into a clean array of unique domains.
2. Loop & Check: The Loop Over Items node starts. Inside, the Airtable Read node checks the database for the current lead's domain.
3. Create/Update:
   • If the lead is NEW, the workflow creates a record (Airtable: Create Lead).
   • If the lead EXISTS, the record is updated (Airtable: Update Lead).
4. Data Merger: The Data Merger: ID Finalizer node consolidates the workflow, ensuring the unique Airtable Record ID is passed to the next step, regardless of whether the lead was created or updated.
5. Conditional Enrichment: The If: Enrichment Needed? node checks the existing Primary Email status. If it's empty, the item proceeds to the deep scraping pipeline (Decodo: Email Search → Decodo: Scrape Contact Page).
6. Final Update: The final node updates the Airtable record with the high-quality email address found from the deep scrape.

📥 Decodo Node Installation

The Decodo node is used three times in this workflow for precision scraping and searching.

1. Find the Node: Click the + button in your n8n canvas.
2. Search: Search for the Decodo node and select it.
3. Credentials: When configuring the first Decodo node, use your API key (obtained with the 80% discount coupon).

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🛠️ Setup Instructions

This template requires specific node configuration and Airtable fields.

1. Credentials: Obtain API keys for Decodo (using the coupon above) and Airtable.
2. Airtable Setup (Schema): Create an Airtable base with a 'Leads' table. It must include these fields for mapping:
   • Domain (Single Line Text - Primary Field)
   • Primary Email (Email)
   • Contact Page URL (URL)
   • Source URL (URL)
   • Lead Type (Single Select: Paid Ad Lead, Organic Lead)
   • Status (Single Select: New Lead, Updated, Enrichment Complete)
3. Global Configuration: Open the Config: Set Search Params node. Customize the following fields:
   • tech_footprint: e.g., "We use Klaviyo"
   • target_industry: e.g., site:promarketer.ca

➕ How to Adapt the Template

• Change Database: Replace the Airtable nodes with Postgres, Notion, or Google Sheets for logging, adapting the field mappings.
• Final Notification: Add a Slack or Gmail node to alert the sales team immediately upon successful enrichment.
• Multi-Step Enrichment: Integrate a service like Hunter.io or Clearbit to find key employee names and titles before the final database update.
• Adjust Scoring: Add an If Node after the deep scrape to set a Lead Score based on whether a direct email (sales@) was found versus a general contact page link.
• Add AI Lead Scoring: Integrate a Gemini or OpenAI node after the deep scraping step to assign an "AI Score" (1-100) based on lead quality (e.g., domain authority, quality of the extracted email), before the final update.