24 Hours of Korean API Traffic: The Day/Night Pattern That Reshaped My Revenue Forecast

On Day 11, I finally got the data I was missing. I had been measuring my Korean scraper traffic in snapshots — always during business hours, always getting the flattering daytime numbers. Then at midnight Seoul time I ran a measurement, and the number that came back was 2.8 runs per hour . Daytime: 45.6/h. Night: 2.8/h. A 15:1 ratio . That changes everything about how I model monthly revenue. The Traffic Profile Across 24 Hours After 11 days of running 13 Korean data scrapers on Apify, here is what the actual usage pattern looks like: Time Window Traffic Who Is Using It Weekday daytime (9am–11pm KST) 40–55/h Enterprise automation, SMBs Weekday overnight (11pm–9am KST) 2–3/h Scheduled pipelines only Weekend daytime 15–20/h SMBs, freelancers Weekend overnight ~2/h Automated only One actor — naver-blog-search — was the only one showing meaningful overnight activity (+15 in 6 hours). It is embedded in an automated pipeline that runs regardless of time. The other 12 actors? Near-zero overni