Sports data API with clean normalized feeds from multiple scraped sources sold directly to indie developers and small betting tools priced below enterprise tiers
A massive underserved tier of developers and small products need sports data but cant afford enterprise APIs and the only alternative is sketchy freelance scrapers
Built for sports betting apps and fantasy sports platforms.
Undercut Sportradar and Opta on price by 90% targeting the ignored indie/hobbyist developer segment who currently scrape illegally or hire freelancers
“hi I have scraped both sofascore and flashscore. I can provide you with the data you are looking for, in EXCEL or CSV file format. Lets chat to discuss more. Re…”
The receipts — real demand
“hi I have scraped both sofascore and flashscore. I can provide you with the data you are looking for, in EXCEL or CSV file format. Lets chat to discuss more. Read more”
Full dossier
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Every corroborating quote, the source receipts, and the community echo. One email, no payment.
demand score 6.9 — the receipts are below
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
Sports betting apps and fantasy sports platforms need real-time sports data from Flashscore and Sofascore. No search volume given, but the pain signal (someone already scraping and offering to sell the data) indicates active demand and a willingness to pay for aggregated, real-time data.
Competition & the opening
SportRadar API, Stats Perform (Opta), Rapid API / API-Football, TheSportsDB, Sportradar LiveOdds, Betradar, and MySportsFeeds serve this market (8/10 competition). The gap is cost and niche: Flashscore and Sofascore have no official APIs; aggregating from them via scraping is a data source shortcut, but most players license from official providers to avoid ToS and IP liability.
What's hard to build
Flashscore and Sofascore actively block scrapers with bot detection and IP rotation requirements; maintaining real-time data sync requires low-latency polling and resilient infrastructure; legal exposure is high (unauthorized data extraction may violate ToS and data protection laws); official sports data APIs (SportRadar) are expensive, making the margin on a scraper-based service slim.
Why now
Sports data aggregation is high-value; free APIs (Rapid API free tier, TheSportsDB) are rate-limited and lack real-time depth; paid incumbents (SportRadar, Stats Perform) start at $500+/mo.
How you'd monetize
Usage-based API pricing ($0.005–0.02 per call) with monthly tiers ($49–499/mo);