How to Build a Wikipedia Knowledge Graph with Python

Wikipedia contains millions of interconnected articles — a perfect foundation for building knowledge graphs. In this tutorial, we extract entities and relationships to construct a navigable knowledge graph. Why Knowledge Graphs? Knowledge graphs power Google answer boxes, recommendation engines, and AI assistants. Building one from Wikipedia creates a structured dataset mapping how concepts relate — far more useful than raw text. Setup import requests from bs4 import BeautifulSoup import networkx as nx import json , time class WikiKnowledgeGraph : def __init__ ( self ): self . graph = nx . DiGraph () self . visited = set () def fetch_page ( self , title ): resp = requests . get ( " https://en.wikipedia.org/w/api.php " , params = { " action " : " parse " , " page " : title , " format " : " json " , " prop " : " text|links|categories " }) return resp . json () if resp . status_code == 200 else None Extracting Entities and Relationships def extract_relationships ( self , title , depth = 2