Wikidata SPARQL Query — Companies, People, Geography & Science

Wikidata SPARQL Query lets you query Wikidata's structured knowledge base using either preset templates or custom SPARQL — returning companies, people, places, scientific concepts, and more as clean structured records. Five built-in presets cover tech companies, world leaders, Nobel laureates, unicorn startups, and top universities. For advanced use cases, write any SPARQL SELECT query against Wikidata's public endpoint. No API key required.

Wikidata is the machine-readable backbone behind Wikipedia, containing 100M+ items with structured properties — founding dates, headquarters, founders, revenue, country, and hundreds of other attributes — all queryable via SPARQL.

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Why use Wikidata SPARQL Query?

1. Tech company data enrichment — Pull founding year, headquarters, CEO, country, and industry for thousands of tech companies. Perfect for enriching CRM data or building a startup intelligence database.
2. Academic research datasets — Get structured data on Nobel laureates, Fields Medal winners, or top universities with country, founding year, and student population — ready for analysis.
3. Custom knowledge graph queries — Wikidata supports complex SPARQL: federated queries, property paths, aggregations. Write once, run repeatedly with this actor to keep data fresh.
4. Unicorn startup tracking — The unicorn preset returns all startups with valuation >$1B, with founding year, country, and sector classification.
5. Geographic and political data — World leaders, heads of state, and political entities with position start/end dates — ideal for geopolitical research and risk monitoring.

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How to use

1. Open the actor on Apify Store and click Try for free.
2. Set mode to preset and pick a preset template — or set mode to custom and paste your SPARQL query.
3. Set limit to control how many records to return.
4. Optionally change language for entity labels in your preferred language (default: English).
5. Click Start. Returns structured records from Wikidata matching your query.

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Input

Field	Type	Default	Description
mode	string	"preset"	preset (built-in template) or custom (your SPARQL query)
preset	string	"tech_companies"	Template: tech_companies, world_leaders, nobel_laureates, unicorn_startups, top_universities
customQuery	string	""	SPARQL SELECT query (used when mode: "custom")
limit	integer	100	Maximum records to return (1–1000)
offset	integer	0	Records to skip (for pagination)
language	string	"en"	BCP-47 language code for entity labels ("de", "ja", etc.)

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Preset queries

Preset	What it returns	Key fields
tech_companies	Technology companies on Wikidata	name, founded, headquarters, country, employees
world_leaders	Current heads of state and government	name, country, position, start date
nobel_laureates	Nobel Prize winners	name, prize, year, country
unicorn_startups	Startups with valuation >$1B	name, founded, country, valuation, sector
top_universities	Universities ranked by student count	name, country, founded, students

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Output

Tech companies preset:

{
  "company": "Google LLC",
  "wikidata_id": "Q95",
  "founded": "1998-09-04",
  "headquarters": "Mountain View",
  "country": "United States",
  "employees": 190234,
  "industry": "Internet"
}

Nobel laureates preset:

{
  "laureate": "Katalin Karikó",
  "wikidata_id": "Q76682864",
  "prize": "Nobel Prize in Physiology or Medicine",
  "year": "2023",
  "country": "Hungary"
}

Custom query (any SPARQL SELECT):

SELECT ?company ?companyLabel ?revenue WHERE {
  ?company wdt:P31 wd:Q4830453;
           wdt:P2139 ?revenue.
  FILTER(?revenue > 1000000000)
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
ORDER BY DESC(?revenue)
LIMIT 50

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Cost estimation

Pay-Per-Event: $0.005 per actor start + $0.002 per record returned.

Use case	Records	Estimated cost
100 tech companies	100	~$0.20/run
All Nobel laureates (1000)	1000	~$2.00/run
50 unicorn startups	50	~$0.10/run
Custom query, 500 results	500	~$1.00/run

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FAQ

What is Wikidata? Wikidata is a free, collaborative knowledge base maintained by the Wikimedia Foundation. It stores structured data that powers Wikipedia's infoboxes and is fully queryable via SPARQL. It contains 100M+ entities with millions of properties.

How do I write a custom SPARQL query? Wikidata provides a free SPARQL Query Service where you can test queries interactively. Write and test there, then paste into this actor's customQuery field. The endpoint is https://query.wikidata.org/sparql.

How current is the Wikidata data? Wikidata is continuously updated by volunteers. Most major companies, public figures, and scientific entities are current within days to weeks. Obscure entities may lag.

Can I get labels in languages other than English? Yes — set language: "de" for German, "ja" for Japanese, etc. Labels fall back to English when the entity has no label in the requested language.

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Related actors

• GitHub Repository Stats Tracker — Complement Wikidata tech company data with live GitHub repo stats
• Startup Funding Tracker — Recent funding rounds to enrich Wikidata unicorn data
• Wikipedia Pageviews Tracker — Measure public interest in the entities you find in Wikidata

Feedback

If this actor is useful, a quick review helps other researchers find it: Leave a review on Apify Store

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Keywords: Wikidata SPARQL query, structured knowledge data extractor, Wikidata API scraper, knowledge graph query, SPARQL endpoint automation, Wikidata entity data, tech company database, world leaders data, Nobel laureate data, unicorn startup list, open knowledge base, linked data scraper, Wikidata bulk export, PPE per record pricing