Player Data Scraper & Rankings
Publicada el 2026-07-26
Descripción de la oferta
I have a sports-stats website in mind and I need every player’s statistics, individual game results, and profile details pulled into a clean, queryable database. Once the data sits there, I want an automated ranking system that scores each player according to the scraped numbers and keeps that leaderboard up to date. Please scrape all three data groups—player statistics, game results, and player profiles—then funnel them into a database. I’m comfortable using whatever engine makes the most sense (MySQL, PostgreSQL, or even SQLite); I simply need you to explain the trade-offs and set it up for me. Deliverables • A robust scraper (Python + BeautifulSoup/Scrapy/Selenium—use what’s best for the target site) • A well-structured relational database with the imported data • Clear documentation on the schema and how to refresh the data • A ranking algorithm/script that calculates player standings from the live database • A short write-up comparing the database options you considered and why the chosen one fits Accuracy and reliability are key—I’ll test by running the scraper on my end and checking that rankings update correctly from new matches. Feel free to suggest caching, scheduling, or other optimizations if they help keep the system fast and maintenance-friendly.
Skills
Fuente original: freelancer