Web Developer Needed for Sports Odds Data Extraction & Excel Automation
Budget: €100 – €150 EUR
I’m looking for a dependable script or lightweight application that can collect sports betting odds from a web-based platform I have access to and export them into a structured Excel (XLSX) file.
The initial focus will be on outright winner markets for:
Golf
Cycling
Baseball
The Excel output should remain clean and well-organized, grouping rows by sport, league, and event, so the data can be easily filtered and analyzed later.
Update Frequency:
Data refresh every 5 minutes
Real-time or in-play updates are not required
Accuracy and stability are more important than speed
Technical Expectations:
Ability to handle dynamic web content
Robust approach that runs consistently over time
Technology stack is flexible (Python, browser automation, or other suitable solutions)
Clear explanation of limitations, assumptions, and maintenance requirements
Deliverables:
Working solution that exports odds data to Excel (grouped by league/event)
Config file or simple interface to add more sports or competitions later
Clear setup documentation and usage instructions
Short demonstration showing the Excel file updating on a 5-minute interval
Nice to Have:
Prior experience with sports data extraction, odds aggregation, or heavily dynamic websites
Experience working with Excel-ready outputs for analysis or reporting
Shortlisted candidates may be asked to provide a small demonstration using a sample market (e.g. an outright winner market) to confirm approach and data structure.
The initial focus will be on outright winner markets for:
Golf
Cycling
Baseball
The Excel output should remain clean and well-organized, grouping rows by sport, league, and event, so the data can be easily filtered and analyzed later.
Update Frequency:
Data refresh every 5 minutes
Real-time or in-play updates are not required
Accuracy and stability are more important than speed
Technical Expectations:
Ability to handle dynamic web content
Robust approach that runs consistently over time
Technology stack is flexible (Python, browser automation, or other suitable solutions)
Clear explanation of limitations, assumptions, and maintenance requirements
Deliverables:
Working solution that exports odds data to Excel (grouped by league/event)
Config file or simple interface to add more sports or competitions later
Clear setup documentation and usage instructions
Short demonstration showing the Excel file updating on a 5-minute interval
Nice to Have:
Prior experience with sports data extraction, odds aggregation, or heavily dynamic websites
Experience working with Excel-ready outputs for analysis or reporting
Shortlisted candidates may be asked to provide a small demonstration using a sample market (e.g. an outright winner market) to confirm approach and data structure.
Related categories:
JavaScript
Python
Data Processing
Excel
Web Scraping
Software Architecture
Data Extraction
Selenium
Automation