Lead scraper with batch processing

Building Marketing Workflows with n8n

Yaron Been

Marketing Automation Architect

From feedback loops to batch processing

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👈 Previous workflow: Self-improving optimizer with feedback loop
👉 New workflow: Processing multiple items at scale
🧠 New patterns: batch loops and parallel streams

The lead generation problem

recraft: half: Person at computer searching for business contacts on a map interface

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Goal: Need to find potential customers (e.g., plumbers in Miami)
Manual search takes hours per business
Solution: Automate the entire process

External API integration

API Integration

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Call Apify REST API via HTTP request
Send search query + location
Receive business listings from Google Maps

Batch processing with Split In Batches

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Split In Batches processes items one at a time
Wait node for rate limiting (1 second)
Regex extracts emails from HTML

Batch Processing

Parallel data streams

Parallel Streams

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Stream A: business details (names, addresses, phones)
Stream B: extracted emails (filter, dedupe)
Both aggregate into single items

Merging and final output

Merge Output

Merge node combines both streams
Code node matches emails to businesses
Output: complete lead list with contacts

New patterns you'll learn

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🌐 Integrate external APIs with HTTP Request
🗂 Master batch processing with Split In Batches
🔀 Build parallel streams that merge

Let's practice!

Building Marketing Workflows with n8n

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