Pricing

from $1.50 / 1,000 results

Wikidata Scraper — Search, Entities & SPARQL API

Scrape Wikidata by keyword search, entity IDs, or SPARQL query. Extract QIDs, labels, descriptions, aliases, instanceOf, and claim values. No API key, no login required.

Pricing

from $1.50 / 1,000 results

Rating

0.0

(0)

Developer

Logiover

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Other

You can access the Wikidata Scraper — Search, Entities & SPARQL API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "sparql": """SELECT ?person ?personLabel ?birthDate ?birthPlaceLabel ?deathDate ?occupationLabel ?awardLabel ?countryLabel WHERE {
10  VALUES ?award { wd:Q38104 wd:Q35637 wd:Q44585 wd:Q37922 wd:Q80061 wd:Q135444 }
11  ?person wdt:P166 ?award .
12  ?person wdt:P31 wd:Q5 .
13  OPTIONAL { ?person wdt:P569 ?birthDate . }
14  OPTIONAL { ?person wdt:P19 ?birthPlace . }
15  OPTIONAL { ?person wdt:P570 ?deathDate . }
16  OPTIONAL { ?person wdt:P106 ?occupation . }
17  OPTIONAL { ?person wdt:P27 ?country . }
18  SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }
19}
20ORDER BY DESC(?birthDate)
21LIMIT 300""",
22    "maxResults": 300,
23    "proxyConfiguration": { "useApifyProxy": True },
24}
25
26# Run the Actor and wait for it to finish
27run = client.actor("logiover/wikidata-scraper").call(run_input=run_input)
28
29# Fetch and print Actor results from the run's dataset (if there are any)
30print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
31for item in client.dataset(run.default_dataset_id).iterate_items():
32    print(item)
33
34# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Wikidata Scraper — Search, Entity Lookup & SPARQL Queries API in Python

The Apify API client for Python is the official library that allows you to use Wikidata Scraper — Search, Entities & SPARQL API API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Wikidata Scraper — Search, Entities & SPARQL API API in JavaScript

Wikidata Scraper — Search, Entities & SPARQL API API through CLI

Wikidata Scraper — Search, Entities & SPARQL API OpenAPI definition

Wikidata Scraper — Search, Entities & SPARQL API API

Wikidata SPARQL Scraper - Run SPARQL Queries

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Wikidata — Structured Knowledge & Entity Search

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Wikidata Entities & Knowledge Graph Scraper

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Search Wikidata and export matching entities as clean structured data. Get each entity's label, description, aliases, type, country, official website, inception date and industry, plus the Wikidata URL. Great for research and KYB enrichment. Export to JSON, CSV or Excel.

Scrapers Lat

Wikidata Knowledge Base Scraper

cloud9_ai/wikidata-scraper

Query and extract structured data from Wikidata. Get entities, properties, and relationships from 100M+ items. No API key needed.

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SPARQL Query Runner

datamule/sparql-query-runner

Point at ANY public SPARQL endpoint (Wikidata, DBpedia, UniProt, government & museum Linked-Open-Data) and run a query over the W3C SPARQL 1.1 Protocol. SELECT flattens to dynamic columns per binding, ASK to a boolean, CONSTRUCT/DESCRIBE to triples. One actor, any knowledge graph. Pay per binding.

Datamule

Wikidata Scraper - Entity Search & Claims, $0.20/1k

dami_studio/wikidata-scraper

The cheapest way to turn names into structured entities - $0.20 per 1,000, lower than every rival on the Store. Search Wikidata by name or resolve Q-ids to labels, descriptions, aliases, instance-of, occupation, country of citizenship, simplified claims and the Wikipedia link. No key, no login.