Australian TAB Racing Data Scrape
Budget / SalaryA$30–250
TypeFreelance project
LocationRemote
Posted2 hours ago
I need the last full year of Australian TAB horse-racing results scraped and delivered exactly in the column layout shown in my sample Excel file (I will supply this as soon as we start). The sheet lists every data point I need—horse, jockey, track conditions, dividends and the rest—so you can map your script directly to those headers and avoid guesswork.
Please export the final files into a single folder; I handle my own filtering once everything is in one place. A clean .xlsx is preferred, but a CSV for each race meeting inside that same folder is acceptable if that streamlines your code.
Speed matters: the sooner I receive the finished dataset, the better. Accuracy is equally critical, as this is part 1 of a three-phase project and the next stages depend on reliable historical numbers.
I previously had this scrape completed quickly with Python (requests, BeautifulSoup, pandas) and would be happy for you to take a similar or improved approach—Selenium, Playwright or other reliable methods are fine so long as the result is complete and the code runs headless without manual intervention.
Deliverable
• One year of Australian TAB race data, formatted exactly like my template, placed in a single folder.
Acceptance
• Every column present and populated per the template.
• No missing meetings within the chosen 12-month window.
• File opens error-free in Excel.
If you can replicate the solid turnaround I achieved last time, let’s get started today so we can move on to parts 2 and 3 right away.
Please export the final files into a single folder; I handle my own filtering once everything is in one place. A clean .xlsx is preferred, but a CSV for each race meeting inside that same folder is acceptable if that streamlines your code.
Speed matters: the sooner I receive the finished dataset, the better. Accuracy is equally critical, as this is part 1 of a three-phase project and the next stages depend on reliable historical numbers.
I previously had this scrape completed quickly with Python (requests, BeautifulSoup, pandas) and would be happy for you to take a similar or improved approach—Selenium, Playwright or other reliable methods are fine so long as the result is complete and the code runs headless without manual intervention.
Deliverable
• One year of Australian TAB race data, formatted exactly like my template, placed in a single folder.
Acceptance
• Every column present and populated per the template.
• No missing meetings within the chosen 12-month window.
• File opens error-free in Excel.
If you can replicate the solid turnaround I achieved last time, let’s get started today so we can move on to parts 2 and 3 right away.
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