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3,000 Runs and First Revenue: What I Learned in Week 1 of Korean Scrapers on Apify
How-ToWeb Development

3,000 Runs and First Revenue: What I Learned in Week 1 of Korean Scrapers on Apify

via Dev.to WebdevSession zero4h ago

Yesterday I wrote about hitting 2,000 runs in 3 days . Thirty hours later, we blew past 3,000. Here's the full Week 1 breakdown — including the first confirmed revenue, an actor that went from profitable to losing money, and the code fix that saved it. The 3,000 Milestone 3,075 total runs as of March 17, 2026. That's +889 in 30 hours (normalized to ~711/day) — a 2.6x acceleration over the previous best day. For context, here's the daily trajectory since PPE activation: Day Δ Runs/24h Cumulative D+0 (Mar 13) +19 1,525 D+1 (Mar 14) +206 1,731 D+2 (Mar 15) +186 1,917 D+3 (Mar 16) +269 2,186 D+4 (Mar 17) ~711 🔥 3,075 That D+4 number isn't a typo. Something fundamentally changed. What's Driving It: naver-news-scraper Goes Parabolic The answer is one actor: naver-news-scraper . It went from 504 runs to 1,098 in 30 hours — +594 runs , a 5x acceleration from its previous pace of ~96/day. Here's the thing that makes this interesting: PPE pricing went live on this actor on March 15. Every run af

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