Next up: parallel data processing
1. Next up: parallel data processing
Great job! Your scraping loop is done. You've got business listings and extracted emails from each website. Now it's time to bring everything together.2. What's next
In the next exercise, you'll split the data into two parallel streams. Think of it like an assembly line that forks into two conveyor belts. Stream A processes the business details from Google Maps: company names, addresses, and phone numbers. Stream B processes the emails you just extracted, filtering out empty results, splitting arrays, and removing duplicates. Each stream ends with an Aggregate node that combines all items into a single object. After that, in the final exercise, you'll bring both streams back together with a Merge node. A Code node then matches emails to businesses by domain and formats everything into clean JSON. The result is a complete lead list: company details with matched contact emails, all generated from a single search query. The code for the final formatting is in the exercise instructions, so just copy and paste it in.3. Almost done!
Two more exercises and your lead scraper is complete. Let's finish it!Create Your Free Account
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