Repeatable Racing Data Scraper
Budget: $14 – $75 NZD
I need a simple, low-cost way to pull thoroughbred racing form from the official racing websites and drop it straight into my existing Excel template whenever I choose. The process must run on an ordinary New Zealand Windows laptop—no paid cloud services, no expensive subscriptions—so a lightweight Python or Power Query approach would suit me fine as long as I can launch it with a click.
Core requirements
• Source: only the official racing websites I will specify.
• Output: a fully populated Excel workbook that keeps my current column structure.
• Data points: everything listed in the attached brief (horse numbers, dates, jockey & trainer details, race conditions, etc.).
• Speed: each race download should finish in seconds.
• Repeatability: I must be able to refresh the sheet myself before every meeting without touching code.
Deliverables
1. The working script or automated Excel solution.
2. A clear, step-by-step guide (screenshots or short video) that shows me how to run it and update any URL changes.
3. A quick test on one upcoming meeting so I can see the data land correctly in my template.
If you can keep the setup lightweight, reliable, and easy for a non-developer to maintain, let’s talk.
Core requirements
• Source: only the official racing websites I will specify.
• Output: a fully populated Excel workbook that keeps my current column structure.
• Data points: everything listed in the attached brief (horse numbers, dates, jockey & trainer details, race conditions, etc.).
• Speed: each race download should finish in seconds.
• Repeatability: I must be able to refresh the sheet myself before every meeting without touching code.
Deliverables
1. The working script or automated Excel solution.
2. A clear, step-by-step guide (screenshots or short video) that shows me how to run it and update any URL changes.
3. A quick test on one upcoming meeting so I can see the data land correctly in my template.
If you can keep the setup lightweight, reliable, and easy for a non-developer to maintain, let’s talk.
Related categories:
Python
Data Processing
Excel
Web Scraping
Scripting
Data Extraction
Data Analysis
Data Management