Evernote_strength_scraper

A scraper which extracts my lifting data (via html) into an csv file.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

This project uses the BeautifulSoup library and pandas

Anaconda Enviroment

conda install -c anaconda beautifulsoup4 
conda install pandas

Normal enviroment

pip install beautifulsoup4
pip install pandas

Installing

Using the example of an anacoda set up to make the enviroment

Call on conda create env to create your enviroment

conda create --name myenv

after you proced with yes, you must activate/switch into the new enviroment you just made.

conda activate myenv

Now you must install the third party packages that allow this program to run.

🔼🔼🔼See the Prerequisites section above🔼🔼🔼

Formatting your file

The formatting of the evernote note looked like this:

December 5
Sqaut 32.5
Bench press 17.5
Deadlift 37.5

December 7
Sqaut 32.5
Press 10 (Only two sets )
Power clean 15

December 9
Sqaut 32.5
Bench 20
Deadlift 40

Importing your file

Your file must be html file. Please use the evernote export function

Replace the file path in the file varible

file = open("Starting strength log2.html", encoding="utf8")

REPLACE LIKE BELOW

file = open("YOUR_FILE.html", encoding="utf8")

For the cleaner.py to function you must import your non-clean csv file produced form main.py. To do so replace the file path on the pd.read_csv function

df = pd.read_csv('Lifts_edited.csv')

Exporting

When collecting the non-clean csv file, replace the file name with your own:

with open('lifts2.csv', mode='w', encoding='utf-8') as lifts_file:

When exporting the clean csv file replace the file path in the df.to_csv function: Found in the cleaner.py file

df.to_csv('lifts_clean2.csv', index=False, encoding='utf-8')