{resource}: Get resource data

API: dbpedia.org:dbpedia-sparql-api
Endpoint: /resource/{resource}
Response format: text/html
Auth: none
Method: GET
Last Status: 200
Latency: 388ms

Description

Retrieve semantic data about a specific Wikipedia entity (resource) using content negotiation. This endpoint implements Linked Data principles - request RDF/XML for machine-readable data or HTML for human browsing. Returns comprehensive information about the entity including properties, types, and relationships. For example, requesting /resource/Barack_Obama with Accept: application/rdf+xml returns all triples about Barack Obama from DBpedia. This is the recommended way to get complete data about a specific entity when you know its name.

From spec: Retrieve RDF data for a specific DBpedia resource. Returns JSON-LD representation of the resource.

Usage Tips

- Use Accept header for content negotiation: application/rdf+xml, text/turtle, application/ld+json - Without Accept header, returns HTML human-readable page (large, ~750KB) - Resource names use underscores for spaces: Barack_Obama not "Barack Obama" - Special characters in resource names should be URL-encoded: Python_%28programming_language%29

Parameters (1)

resource (string, path, required)

Resource name (e.g., Barack_Obama, Paris, Python_(programming_language))

Examples (15)

Get resource data openapi-spec

Retrieve comprehensive data about Barack Obama

curl 'https://dbpedia.org/resource/Barack_Obama'

import requests

resp = requests.get("https://dbpedia.org/resource/Barack_Obama")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("https://dbpedia.org/resource/Barack_Obama");
const data = await resp.json();

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Get Leipzig resource with Turtle format via content negotiation doc_extracted

Get data about the city of Leipzig

curl 'http://dbpedia.org/resource/Leipzig' \
  -H 'Accept: text/turtle'

import requests

resp = requests.get(
    "http://dbpedia.org/resource/Leipzig",
    headers={
        'Accept': 'text/turtle',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Leipzig", {
  headers: {
    "Accept": "text/turtle",
  },
});
const data = await resp.json();

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Sample resource - The Lord of the Rings doc_extracted

Get data about The Lord of the Rings

curl 'http://dbpedia.org/resource/The_Lord_of_the_Rings'

import requests

resp = requests.get("http://dbpedia.org/resource/The_Lord_of_the_Rings")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/The_Lord_of_the_Rings");
const data = await resp.json();

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Sample resource - Berlin doc_extracted

Get data about Berlin, capital of Germany

curl 'http://dbpedia.org/resource/Berlin'

import requests

resp = requests.get("http://dbpedia.org/resource/Berlin")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Berlin");
const data = await resp.json();

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Sample resource - Category Cities in England doc_extracted

Get data about a Wikipedia category

curl 'http://dbpedia.org/resource/Category:Cities_in_England'

import requests

resp = requests.get("http://dbpedia.org/resource/Category:Cities_in_England")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Category:Cities_in_England");
const data = await resp.json();

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Sample resource - The Beatles doc_extracted

Get data about The Beatles band

curl 'http://dbpedia.org/resource/The_Beatles'

import requests

resp = requests.get("http://dbpedia.org/resource/The_Beatles")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/The_Beatles");
const data = await resp.json();

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Sample resource - Paul McCartney doc_extracted

Get data about Paul McCartney

curl 'http://dbpedia.org/resource/Paul_McCartney'

import requests

resp = requests.get("http://dbpedia.org/resource/Paul_McCartney")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Paul_McCartney");
const data = await resp.json();

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Sample resource - Category English musicians doc_extracted

Get data about English musicians category

curl 'http://dbpedia.org/resource/Category:English_musicians'

import requests

resp = requests.get("http://dbpedia.org/resource/Category:English_musicians")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Category:English_musicians");
const data = await resp.json();

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Sample resource - Semantic Web doc_extracted

Get data about Semantic Web concept

curl 'http://dbpedia.org/resource/Semantic_Web'

import requests

resp = requests.get("http://dbpedia.org/resource/Semantic_Web")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Semantic_Web");
const data = await resp.json();

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Sample resource - Tetris doc_extracted

Get data about Tetris video game

curl 'http://dbpedia.org/resource/Tetris'

import requests

resp = requests.get("http://dbpedia.org/resource/Tetris")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Tetris");
const data = await resp.json();

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Sample resource - SPARQL doc_extracted

Get data about SPARQL query language

curl 'http://dbpedia.org/resource/SPARQL'

import requests

resp = requests.get("http://dbpedia.org/resource/SPARQL")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/SPARQL");
const data = await resp.json();

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Spanish chapter example - Berlin doc_extracted

Get data from Spanish DBpedia

curl 'http://es.dbpedia.org/resource/Berlin'

import requests

resp = requests.get("http://es.dbpedia.org/resource/Berlin")
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://es.dbpedia.org/resource/Berlin");
const data = await resp.json();

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Get data for Barack Obama curl

Alternative URL format for Barack Obama

curl 'http://dbpedia.org/resource/Barack_Obama' \
  -H 'Accept: application/rdf+xml'

import requests

resp = requests.get(
    "http://dbpedia.org/resource/Barack_Obama",
    headers={
        'Accept': 'application/rdf+xml',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Barack_Obama", {
  headers: {
    "Accept": "application/rdf+xml",
  },
});
const data = await resp.json();

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Get data for Paris curl

Get data about Paris, France

curl 'http://dbpedia.org/resource/Paris' \
  -H 'Accept: text/turtle'

import requests

resp = requests.get(
    "http://dbpedia.org/resource/Paris",
    headers={
        'Accept': 'text/turtle',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Paris", {
  headers: {
    "Accept": "text/turtle",
  },
});
const data = await resp.json();

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Get data for Python programming language curl

Get data about Python programming language

curl 'http://dbpedia.org/resource/Python_(programming_language)' \
  -H 'Accept: application/ld+json'

import requests

resp = requests.get(
    "http://dbpedia.org/resource/Python_(programming_language)",
    headers={
        'Accept': 'application/ld+json',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("dbpedia")
result = api.fetch("resource/{resource}")

for item in result:
    print(item)

const resp = await fetch("http://dbpedia.org/resource/Python_(programming_language)", {
  headers: {
    "Accept": "application/ld+json",
  },
});
const data = await resp.json();

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Probe History

Latency

Status Codes

Time	Status	Latency	Size
2026-04-16 17:33:19.392711	200	388ms
2026-04-16 17:23:33.128983	200	14900ms	2.0MB
2026-04-16 04:11:18.470300	200	504ms
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