Seasonal Data Extraction Spreadsheet
Budget / Salary$10–30
TypeFreelance project
LocationRemote
Posted2 hours ago
I have a list of ID numbers and a ready-made spreadsheet template. For every ID, I need you to visit the source website I’ll share, pull its statistical averages, and paste them into the sheet.
Scope of the pull
• Years: 2023, 2024, 2025 and 2026 only—no earlier seasons.
• Seasons: summer and winter; spring or fall data is not required.
• Metrics: use the website’s “averages” view and capture only entries that meet the minimum-games threshold I will specify.
What you’ll hand back
1. The completed spreadsheet with one row per ID and one column per metric, fully populated and tidy.
2. A short log (text or worksheet tab) that lists any IDs that returned no qualifying results.
Acceptance checks
• Every cell that should contain a number is filled or clearly marked “N/A” with an explanation in the log.
• Column order and formatting match the template exactly.
• Spot verification against the live site confirms identical figures.
You may collect the data manually or automate it with Python, Excel Power Query, or any other method—speed is fine so long as accuracy is 100 %. Let me know your approach and an estimated turnaround once you’ve seen the template and site.
Scope of the pull
• Years: 2023, 2024, 2025 and 2026 only—no earlier seasons.
• Seasons: summer and winter; spring or fall data is not required.
• Metrics: use the website’s “averages” view and capture only entries that meet the minimum-games threshold I will specify.
What you’ll hand back
1. The completed spreadsheet with one row per ID and one column per metric, fully populated and tidy.
2. A short log (text or worksheet tab) that lists any IDs that returned no qualifying results.
Acceptance checks
• Every cell that should contain a number is filled or clearly marked “N/A” with an explanation in the log.
• Column order and formatting match the template exactly.
• Spot verification against the live site confirms identical figures.
You may collect the data manually or automate it with Python, Excel Power Query, or any other method—speed is fine so long as accuracy is 100 %. Let me know your approach and an estimated turnaround once you’ve seen the template and site.
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