Summary¶

Features¶

Web Scraping¶

Scrape the comprehensive data recorded by PSA on public sales of certified cards from the Auction Prizes register on their website

Basic Analysis¶

Compute the compound annual growth rate (CAGR) and numbers on the grade distribution, record unusual grade types and plot the prizes over time

Installation¶

Clone the package to a local directory:

$ git clone https://github.com/tostenzel/psa-prizes

Install the dependency manager Poetry:

$ curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python

Change directory to /psa-prizes/ and install dependencies:

$ cd psa_prizes
$ poetry install

Example¶

Specify the cards and grades of interest in /input/input.csv (Click for an example):

Paste the respective item link to the first column

Write the respective grades to the second column as a list in Python syntax

If you write in the file through a GUI-based program, make sure to keep ; as the only column delimeter.

Run PSA-prizes:

$ poetry run psa-prizes

Data, information and plots are saved to /output/. Additionally, the information is printed to the terminal and the plot is pictured for each card-grade pair. An example output is shown below.

– The compound annual growth rate from 2016 to 2020 is 61.13%.
– The number of cards with grade 8.0 is 119 of 562 cards. That is 21.17%.
– Over all grades, 6 of 562 cards do not receive standard grades. These grades are in {'Authentic', 'nan'}