Korea's Craigslist — How to Scrape Daangn Market Listings with Python

Introduction When Koreans want to buy a used sofa, sell last year's iPhone, or find a part-time gig in their neighborhood, they don't go to Craigslist. They open Daangn Market (당근마켓). With over 22 million monthly active users — nearly half of South Korea's entire population — Daangn has become the country's undisputed hyper-local marketplace. It's not just a C2C platform; it's a real-time mirror of Korean consumer behavior, neighborhood economics, and secondhand pricing trends. Researchers, startups, and analysts who want this data face a familiar problem: there's no official API. And until now, no reliable scraping tool existed either. The Daangn Market Scraper on Apify changes that. Built on Daangn's JSON-LD structured data layer, it extracts clean listing data without the overhead of a full browser — fast, lean, and cost-effective. Why Daangn Market Data is Valuable Korea's Hyper-Local Economy in Numbers Daangn isn't a niche platform. It's infrastructure: 22M+ monthly active users (