Skip to main content
SimilarExport ZIP
100%

Parse a card from Pokemon-card.com (output a JSON file)

✓ Published0🌍 Public
KKevinGutowski
Last edited Apr 3, 2023
Created on Apr 3, 2023

This example parses a single Pokémon card page from pokemon-card.com into a structured JSON file. It extracts the card’s name, type, HP, moves, abilities, weaknesses, resistances, and evolution tree, along with illustrator and regulation-mark metadata. The Python script uses `requests` to fetch the HTML, `bs4` (BeautifulSoup) to parse the DOM, and `json` to output the results. It also handles subclasses like 進化 variants and reads card details from the page’s left and right boxes, returning a complete card record for downstream applications.

AI-generated description

Similar vizzes

Loading thumbnail…

Parse a japanese pokemon card

This example parses Japanese Pokémon card pages from pokemon-card.com, extracting structured data such as card name, class, types, HP, moves, abilities, weaknesses, resistances, retreat cost, illustrator, regulation mark, rarity, and Pokédex information. It uses the BeautifulSoup library to navigate the HTML and collects attributes into a dictionary, including parsing evolution trees and card rules. The visualization likely displays the parsed card data, sourced directly from the site’s card details pages. The code handles multiple card categories like Pokémon, Trainer, and Energy, with functions for top info, headings, and side boxes.

KKevinGutowski
86% match
Loading thumbnail…

Parse Pokémon Trading Card Online Deckstring

This example parses a Pokémon Trading Card Online deckstring into structured card data, displaying each card’s count, name, type (Pokémon, Trainer, or Energy), set code, number, and variant. The JavaScript function `importDeckString` splits the input by lines, filters empty entries, and extracts card metadata by splitting on spaces, detecting variants via numeric tokens, and classifying card types based on line position relative to header counts. It also normalizes energy symbols like `{G}` into names like “Grass” using the `replaceEnergyBrackets` helper, then passes the resulting array to an `updateTable` function for display.

KKevinGutowski
67% match
Loading thumbnail…

PKMNCards to CSV

This example converts the content of a PKMN Cards webpage into a CSV file. It extracts the table headings and row text from the page’s article elements, then joins them into a comma-separated string. The script uses the DOM API to query elements such as `getElementsByClassName` and `getElementsByTagName`, and triggers a download via a generated anchor element with a `data:text/csv` URI. The output filename is taken from the search-form input value, creating a CSV matching the user’s search query.

KKevinGutowski
65% match
Loading thumbnail…

Simple script to crop pokemon card images

This example is a batch script that crops Pokémon card images into a uniform size and applies a rounded-corner mask. It processes image files by dragging them onto the script or running it in a folder, writing cropped PNGs to an output directory. The script uses ImageMagick’s `magick` command-line tool to perform image identification, cropping, and compositing, specifically leveraging the `identify` operation for dimensions and `convert`-style options for the mask overlay. It also includes a fallback to install ImageMagick via Windows Package Manager (`winget`) if not found.

KKevinGutowski
54% match
Loading thumbnail…

Data Table Summary

This example displays a concise text summary of a Pokémon dataset from the first three generations, showing row count, column count, and file size, followed by the first ten rows in JSON format. Built with d3.v5, it uses `select` to target the body, `csv` to asynchronously load the dataset from a URL, `csvFormat` to compute the data size, and `JSON.stringify` to pretty-print the sample rows against a black terminal-style background.

MMihir Sawant
52% match
Loading thumbnail…

Pokemon Base Stats

A horizontal strip of circles displays Pokemon base stats, with the size of each circle proportional to the total stat sum. Hovering reveals a tooltip with individual HP, attack, defense, special attack, special defense, and speed values. The visualization sorts Pokemon by their total in descending order and encodes their primary type with a solid color, while dual-type Pokemon use a linearGradient that blends both types. The code loads a CSV, processes numeric fields, and renders the static SVG layout without a force simulation, using `d3.csv`, `d3.scaleLinear`, and mouse event handlers for the tooltip.

Ccoltonjcox92
51% match
Loading thumbnail…

Pokemon dataset

This example visualizes the Pokemon dataset as a scatter plot, mapping attack values to the x-axis and defense values to the y-axis, with each point colored by species and sized by its height and weight attributes. The code uses D3 v5’s `csv` loader to fetch data from a GitHub gist, then renders SVG circles via `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. Points are styled with fixed radius and fill colors from a custom marker function, while axis labels and a title are added using SVG text elements.

CCH SAMPATH
51% match
Loading thumbnail…

Fork of Penguins Pokemon

This fork of the Penguins Pokemon visualization uses the Kaggle Pokemon dataset to explore whether legendary Pokemon have higher stats and how different stats correlate. The code loads data from a CSV file, parses quantitative attributes into numbers, and renders the first data entry as JSON in a preformatted block. It relies on the native JavaScript array parsing and template literals to display the data, with no external visualization libraries currently applied.

Bbenclark.3rd@gmail.com
51% match