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A scraper for the Tokyo 2020 Olympics designed to download "complete" data.

License: Mozilla Public License 2.0

Python 100.00%
olympics olympics-data olympics-2020 tokyo-olympics tokyo-olympic-games json-api olympics-dataset scraper python

olympics-tokyo2020's Introduction

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olympics-tokyo2020's Issues

There seems to be an issue in the format of the value of some sports

For example:
Here is the data for "Women's 100m Breaststroke"
Some participants's times is a much as 30 seconds, for context the value according to google is around 1:04 - 1:06 depending on the participants in question.
eventTile value participantName
Heat 2 31.77 Dalma Sebestyen
Heat 2 31.86 Remedy Rule
Heat 3 32.42 Erin Gallagher
Heat 4 36.08 Benedetta Pilato
Heat 2 40.94 Claudia Verdino

The values for "Men's Marathon" is also questionable. Here are some examples:
eventTile value participantName
Men's Marathon Final 10:09 Cameron Levins
Men's Marathon Final 10:52 Ivan Zarco Alvarez
Men's Marathon Final 11:28 Yuma Hattori
Men's Marathon Final 12:07 Christian Pacheco
Men's Marathon Final 12:07 Hassan Chahdi
Men's Marathon Final 15:36 Stephen Scullion
Men's Marathon Final 15:44 Mykola Nyzhnyk
Men's Marathon Final 15:48 Lemawork Ketema
Men's Marathon Final 16:12 Oleksandr Sitkovskiy
The names of the participants are right but the values are wrong. You can't run a marathon in 10 minutes and 10 hours is too long. The average time is about 2 - 3 hours or so.

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