DBpedia — Free Structured Wikipedia Data API (No Key)

TL;DR

DBpedia is a crowd-sourced project that extracts structured, machine-readable data from Wikipedia infoboxes and categories. Every Wikipedia article becomes a DBpedia resource with typed properties and links to other resources. Data is available as RDF (JSON-LD, Turtle, N-Triples) and through a SPARQL endpoint. It is a cornerstone of the Linked Open Data cloud, connecting billions of facts across the web.

Quick start: https://dbpedia.org/data/Barack_Obama.json

No API key needed — just make a request!

How to Use This API

1. Get Entity Data (JSON)

https://dbpedia.org/data/Barack_Obama.json

2. SPARQL Query Endpoint

https://dbpedia.org/sparql?default-graph-uri=http%3A%2F%2Fdbpedia.org&query=SELECT+DISTINCT+%3FConcept+WHERE+%7B%5B%5D+a+%3FConcept%7D+LIMIT+10&format=json

3. Browser Entity Page

https://dbpedia.org/page/London

4. JavaScript — Fetch Entity

fetch('https://dbpedia.org/data/Barack_Obama.json')
  .then(r => r.json())
  .then(d => {
    const uri = 'http://dbpedia.org/resource/Barack_Obama';
    console.log(d[uri]);
  });

5. Python — SPARQL Query

import requests, json

query = """
PREFIX dbo: 
PREFIX dbp: 
SELECT ?city ?population WHERE {
  ?city a dbo:City ;
        dbp:populationTotal ?population .
  FILTER(?population > 5000000)
} LIMIT 10
"""
resp = requests.get('https://dbpedia.org/sparql', params={
    'query': query,
    'format': 'json'
})
for bind in resp.json()['results']['bindings']:
    print(bind['city']['value'], '—', bind['population']['value'])

Try it: https://dbpedia.org/data/London.json

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Frequently Asked Questions

What is RDF/Linked Data?: Resource Description Framework — every fact is a triple (subject-predicate-object). DBpedia uses this to represent Wikipedia data as machine-readable graphs.
What formats are available?: .json (JSON-LD), .nt (N-Triples), .ttl (Turtle), .rdf (RDF/XML), and .n3 (Notation3). Append format extension to the data URL.
How do I query with SPARQL?: Use the SPARQL endpoint at /sparql with a SPARQL SELECT query. Results in JSON, XML, CSV, or TSV via the format parameter.
How current is DBpedia data?: DBpedia extracts are generated from Wikipedia dumps, typically updated monthly. The data may lag behind live Wikipedia edits by weeks.
Can I use DBpedia in commercial projects?: Yes, DBpedia data is licensed under CC-BY-SA, the same as Wikipedia. Attribution is required.

What You Can Build

Knowledge graph browser for any Wikipedia entity
Fact extraction tool for research papers
Entity relationship visualization
Question-answering system using structured data
Data enrichment pipeline for NLP applications