/MySportsPrediction

Crawls and predicts the occupancy rate of MySports gyms (like FitStar).

Primary LanguagePython

MySportsPrediction

Crawls and predicts the occupancy rate of MySports gyms (like FitStar).

Initialization

$ pip3 install -r requirements.txt

Crawler

You can get the STUDIO_ID as well as the X_TENANT header value by opening any overview page on https://www.mysports.com and analysing the call to https://www.mysports.com/nox/public/v1/studios/.

Example:

  • https://www.mysports.com/studio/c3BlZWRmaXRuZXNzOjEyMTcxMjAxOTA%3D
  • API call (Chrome -> F11 -> Network): 
    $ curl 'https://www.mysports.com/nox/public/v1/studios/1217120190' \
-H 'authority: www.mysports.com' \
-H 'accept: */*' \
-H 'accept-language: de-DE,de;q=0.9,en-US;q=0.8,en;q=0.7' \
-H ...
-H 'content-type: application/json' \
-H 'dnt: 1' \
-H 'sec-ch-ua-mobile: ?0' \
-H 'sec-ch-ua-platform: "Linux"' \
-H 'sec-fetch-dest: empty' \
-H 'sec-fetch-mode: cors' \
-H 'sec-fetch-site: same-origin' \
-H ...
-H 'x-nox-client-type: WEB' \
-H 'x-nox-web-context;' \
-H 'x-tenant: speedfitness' \
--compressed
  • STUDIO_ID: 1217120190
  • X_TENANT: speedfitness

Running

$ cd crawler/
$ python3 main.py

This will crawl the studio's occupancy rate once a minute and save the data in crawler/data.csv

Prediction

$ cd prediction/
$ python3 main.py

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