Football odds scraper from FONBET with API delivery
Built for Betting arbitrage platforms, sports analytics services, and affiliate betting sites needing automated Russian bookmaker data..
“Python & Web Scraping Projects for $30-250 USD. Парсинг и обработка LIVE линий (Только футбол) для Букмекерской конторы [login to view URL] на python (желат…”
💰 Willingness to pay, in their words
“Python & Web Scraping Projects for $30-250 USD.”
The receipts — real demand
“Python & Web Scraping Projects for $30-250 USD. Парсинг и обработка LIVE линий (Только футбол) для Букмекерской конторы [login to view URL] на python (желательно через s”
Full dossier
Unlock the full dossier — free
Every corroborating quote, the source receipts, and the community echo. One email, no payment.
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
Betting arbitrage platforms and sports analytics services need live odds from FONBET (Russian bookmaker) to identify mispricings. No search volume, but the pain signal (job postings for Python scrapers at $30–250) proves the work is already being outsourced. Demand is niche and concentrated in Eastern Europe and Asia.
Competition & the opening
Generic web scraping tools (Puppeteer, Selenium) and betting data providers (OddsAPI, BetRadar) exist, but none currently expose FONBET live odds. The gap is reliable, legal FONBET data delivery as an API, sidestepping the need for each customer to build and maintain a scraper.
What's hard to build
Feasibility unknown, but the core risk is legal and technical: FONBET's terms of service likely prohibit scraping; the site may deploy anti-scraping defenses; and live odds require low-latency, persistent connections. Regulatory risk (gambling, data export) is high. This is not a technical problem disguised as a business problem—it's a legal problem.
Why now
Sports betting APIs are fragmentary and regional; live odds parsing at scale is expensive, creating demand for accessible normalized feeds.
How you'd monetize
usage-based API pricing