Automate Apollo Lead Scraping & Email Enrichment to Airtable CRM with Apify

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Built by Daniel Nkencho Daniel Nkencho
Created on June 13, 2026

Description

Apollo Lead Scraper to Airtable CRM

Automate your lead generation by scraping targeted prospects from Apollo.io, enriching with contact details, and seamlessly syncing to Airtable for organized outreach—all without manual data entry.

What It Does

This workflow pulls search URLs from Airtable, uses Apify to scrape Apollo leads (up to 50k), enriches with emails and LinkedIn profiles, removes duplicates, filters valid entries, and categorizes contacts into Airtable tables based on email availability for efficient CRM management.

Key Features

Apify Apollo Scraper** - Extracts up to 50k leads with personal/work emails
Smart Deduplication** - Removes duplicates based on key fields like email and name
Email Categorization** - Separates contacts with/without emails into dedicated tables
Field Mapping** - Customizable data transformation for Airtable compatibility
Configurable Limits** - Adjust total records and memory for optimal performance
Error Handling** - Built-in troubleshooting for common issues like invalid URLs

Perfect For

Sales Teams**: Build targeted B2B pipelines for email campaigns
Recruiters**: Source candidates by job title, location, and skills
Marketers**: Create datasets for market research and analysis
Agencies**: Automate client prospecting from custom filters
Researchers**: Collect professional data for industry studies
CRM Managers**: Maintain clean, enriched contact databases

Technical Highlights

Leveraging n8n's Airtable and Apify integrations, this workflow showcases:
Dynamic data fetching from Airtable tables
Actor-based web scraping with custom parameters
Conditional branching for data routing
Efficient data processing with set, filter, and if nodes
Scalable design for large datasets with memory optimization

Ideal for automating lead workflows and scaling prospecting efforts. No advanced coding needed—just set up credentials and run!

Nodes Used (2)

Airtable
n8n-nodes-base.airtable
HTTP Request
n8n-nodes-base.httpRequest