A scraping library for the Minecraft Wiki.
import mcwiki
page = mcwiki.load("Data Pack")
print(page["pack.mcmeta"].extract(mcwiki.TREE))[TAG_Compound]
The root object.
└─ pack
[TAG_Compound]
Holds the data pack information.
├─ description
│ [TAG_String, TAG_List, TAG_Compound]
│ A JSON text that appears when hovering over the data pack's name in
│ the list given by the /datapack list command, or when viewing the pack
│ in the Create World screen.
└─ pack_format
[TAG_Int]
Pack version: If this number does not match the current required
number, the data pack displays a warning and requires additional
confirmation to load the pack. Requires 4 for 1.13–1.14.4. Requires 5
for 1.15–1.16.1. Requires 6 for 1.16.2–1.16.5. Requires 7 for 1.17.
The Minecraft Wiki is a well-maintained source of information but is a bit too organic to be used as anything more than a reference. This project tries its best to make it possible to locate and extract the information you're interested in and use it as a programmatic source of truth for developing Minecraft-related tooling.
- Easily navigate through page sections
- Extract paragraphs, code blocks and recursive tree-like hierarchies
- Create custom extractors or extend the provided ones
The package can be installed with pip.
$ pip install mcwikiThe load function allows you to load a page from the Minecraft Wiki. The page can be specified by providing a URL or simply the title of the page.
mcwiki.load("https://minecraft.fandom.com/wiki/Data_Pack")
mcwiki.load("Data Pack")You can use the load_file function to read from a page downloaded locally or the from_markup function if you already have the html loaded in a string.
mcwiki.load_file("Data_Pack.html")
mcwiki.from_markup("<!DOCTYPE html>\n<html ...")Page sections can then be manipulated like dictionaries. Keys are case-insensitive and are associated to subsections.
page = mcwiki.load("https://minecraft.fandom.com/wiki/Advancement/JSON_format")
print(page["List of triggers"])<PageSection ['minecraft:bee_nest_destroyed', 'minecraft:bred_animals', ...]>
There are 4 built-in extractors. Extractors are instantiated with a CSS selector and define a process method that produces an item for each element returned by the selector.
| Extractor | Type | Extracted Item |
|---|---|---|
PARAGRAPH |
TextExtractor("p") |
String containing the text content of a paragraph |
CODE |
TextExtractor("code") |
String containing the text content of a code span |
CODE_BLOCK |
TextExtractor("pre") |
String containing the text content of a code block |
TREE |
TreeExtractor() |
An instance of mcwiki.Tree containing the treeview data |
Page sections can invoke extractors by using the extract and extract_all methods. The extract method will return the first item in the page section or None if the extractor couldn't extract anything.
print(page.extract(mcwiki.PARAGRAPH))Custom advancements in data packs of a Minecraft world store the advancement data for that world as separate JSON files.
You can use the index argument to specify which paragraph to extract.
print(page.extract(mcwiki.PARAGRAPH, index=1))All advancement JSON files are structured according to the following format:
The extract_all method will return a lazy sequence-like container of all the items the extractor could extract from the page section.
for paragraph in page.extract_all(mcwiki.PARAGRAPH):
print(paragraph)You can use the limit argument or slice the returned sequence to limit the number of extracted items.
# Both yield exactly the same list
paragraphs = page.extract_all(mcwiki.PARAGRAPH)[:10]
paragraphs = list(page.extract_all(mcwiki.PARAGRAPH, limit=10))The TREE extractor returns recursive tree-like hierarchies. You can use the children property to iterate through the direct children of a tree.
def print_nodes(tree: mcwiki.Tree):
for key, node in tree.children:
print(key, node.text, node.icons)
print_nodes(node.content)
print_nodes(section.extract(mcwiki.TREE))Folded entries are automatically fetched, inlined, and cached. This means that iterating over the children property can yield a node that's already been visited so make sure to handle infinite recursions where appropriate.
Tree nodes have 3 attributes that can all be empty:
- The
textattribute holds the text content of the node - The
iconsattribute is a tuple that stores the names of the icons associated to the node - The
contentattribute is a tree containing the children of the node
You can transform the tree into a shallow dictionary with the as_dict method.
# Both yield exactly the same dictionary
nodes = tree.as_dict()
nodes = dict(tree.children)Contributions are welcome. Make sure to first open an issue discussing the problem or the new feature before creating a pull request. The project uses poetry.
$ poetry installYou can run the tests with poetry run pytest.
$ poetry run pytestThe project must type-check with pyright. If you're using VSCode the pylance extension should report diagnostics automatically. You can also install the type-checker locally with npm install and run it from the command-line.
$ npm run watch
$ npm run checkThe code follows the black code style. Import statements are sorted with isort.
$ poetry run isort mcwiki tests
$ poetry run black mcwiki tests
$ poetry run black --check mcwiki testsLicense - MIT
![dependabot-preview[bot] avatar](https://avatars.githubusercontent.com/in/2141?v=4 "dependabot-preview[bot]")
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent