Data Mining 2024 CrossFit Open/Quarterfinals Results
Budget: $30 – $250 USD
I'm looking for a competent freelancer adept at data mining from websites who can accurately capture all necessary information from the 2024 CrossFit Open and Quarterfinals leaderboard results for individual male, Rx, worldwide.
Key tasks include:
1. Data Extraction: From the CrossFit Games' official website (games.crossfit.com/leaderboard). Specific links are included in attached file.
2. Capture Specific Data: Your primary focus will be on male competitors, including competitor names (country, region), workout scores, rankings, placement, points, and workout details such workout name, rounds, reps, or times. See example from attached file of how data is meant to be organized and specific page. For the Open: For the Open: Top 5500 Ranked Athletes. For Quarterfinals: Top 1600 Ranked Athletes. Ranked in Order. Rank is highest to lowest, 5500 and 1600, respectively.
Ideal skills and experience:
- Expertise in data scraping and/or data mining
- Ability to deliver accurate and thorough results in a csv format. Break out scores into individual columns (when data cell contained several data). Example is attached.
- Previous experience with sports data acquisition would be a plus
- An understanding of CrossFit terminology and scoring would be beneficial.
- Available to clarify.
This project requires precision and a thorough understanding of the requirements. Only bid if you can deliver high-quality, accurate information in a timely manner.
Key tasks include:
1. Data Extraction: From the CrossFit Games' official website (games.crossfit.com/leaderboard). Specific links are included in attached file.
2. Capture Specific Data: Your primary focus will be on male competitors, including competitor names (country, region), workout scores, rankings, placement, points, and workout details such workout name, rounds, reps, or times. See example from attached file of how data is meant to be organized and specific page. For the Open: For the Open: Top 5500 Ranked Athletes. For Quarterfinals: Top 1600 Ranked Athletes. Ranked in Order. Rank is highest to lowest, 5500 and 1600, respectively.
Ideal skills and experience:
- Expertise in data scraping and/or data mining
- Ability to deliver accurate and thorough results in a csv format. Break out scores into individual columns (when data cell contained several data). Example is attached.
- Previous experience with sports data acquisition would be a plus
- An understanding of CrossFit terminology and scoring would be beneficial.
- Available to clarify.
This project requires precision and a thorough understanding of the requirements. Only bid if you can deliver high-quality, accurate information in a timely manner.