Pricing

from $0.75 / 1,000 entity scrapeds

Wikidata Entity Scraper

Extract structured knowledge-graph data from Wikidata — labels, descriptions, aliases, statements/claims (properties and values) and Wikipedia sitelinks — for any entity, by search or by Q-ID. Official API, no key, no proxy.

Pricing

from $0.75 / 1,000 entity scrapeds

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Bruno

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2 days ago

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Wikidata Entity Scraper 🧩

Extract structured knowledge-graph data from Wikidata — the free database behind Wikipedia. Get labels, descriptions, aliases, statements (properties → values) and Wikipedia sitelinks for any entity, by search or by Q-ID.

Perfect for data enrichment, entity resolution, knowledge graphs, RAG / AI training data, and building structured datasets about people, companies, places and concepts.

What it extracts (one row per entity)

id, label, description, aliases
claims — property IDs (P-numbers) mapped to their values (claim_count)
sitelinks — Wikipedia pages in every language (sitelink_count)
wikipedia_url, url

Input

{
  "searchQueries": ["Apple Inc", "Albert Einstein"],
  "entityIds": ["Q312", "Q42"],
  "language": "en",
  "includeClaims": true,
  "maxResultsPerQuery": 5
}

searchQueries — find entities by name.
entityIds — exact Q-IDs (e.g. Q312 = Apple Inc.).
includeClaims — include the entity's statements (properties → values).

Output example

{
  "type": "entity",
  "id": "Q312",
  "label": "Apple Inc.",
  "description": "American multinational technology company",
  "aliases": ["Apple", "Apple Computer"],
  "claim_count": 256,
  "claims": { "P159": ["Q16552"], "P452": ["Q880071"], "P1128": ["164000"] },
  "sitelink_count": 183,
  "wikipedia_url": "https://en.wikipedia.org/wiki/Apple_Inc.",
  "url": "https://www.wikidata.org/wiki/Q312"
}

Notes

Uses the official Wikidata API — free, no key.
Property IDs (P-numbers) and entity values (Q-numbers) follow the Wikidata data model.
No proxy required.

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