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freelancer.com 🟡 2026-05-16

🔹 Automated Soccer Data Extraction Tool
👤 Client: 🇦🇺 Sydney, Australia Member since 2026-05-16
💰 Price: $395 Average bid
🚩 Problem: Need a flexible tool for extracting soccer match data based on customizable player names and dynamic league-season selections.
📦 Existing: Not specified

Specifications:

[Target] Extract match details including date, teams, scores, and featured players from various soccer leagues and seasons.
[Method] Use Python with libraries like requests/BeautifulSoup or Selenium for web scraping and pandas for data processing. Leverage a reliable football API if available.
[UI/UX] Provide a simple text box or CSV upload for player names. Allow selection of league, season, and output format (Excel/CSV).
[Stack] Python 3.x, requests/BeautifulSoup/Selenium, pandas, openpyxl/xlsxwriter for Excel export, football API if needed.
[Security] Ensure data privacy and handle any sensitive information securely. Use HTTPS for web scraping if necessary.
[Format] Output in flat list format (one row per match) with columns: date, home team, away team, final score, featured players.

Workflow:

1. Define the league and season using user inputs.
2. Scrape or fetch data from a reliable API for the selected league-season combination.
3. Cross-check player names against match line-ups to identify featured players.
4. Format the extracted data into an Excel/CSV file with required columns.
5. Export the processed data to a specified output format.