Wikidata Entity Lookup & Knowledge Graph Scraper (Free) avatar

Wikidata Entity Lookup & Knowledge Graph Scraper (Free)

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Pay per usage

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Wikidata Entity Lookup & Knowledge Graph Scraper (Free)

Wikidata Entity Lookup & Knowledge Graph Scraper (Free)

Search Wikidata and export entities as clean JSON: Q-ID, label, description, aliases, instance of, country, coordinates, population, dates and Wikipedia links. Free knowledge graph enrichment.

Pricing

Pay per usage

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D N

D N

Maintained by Community

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1

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6 days ago

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Turn any name into a structured knowledge graph record. This actor searches Wikidata — the free knowledge base behind Wikipedia — and returns clean JSON for each entity: Q-ID, label, description, aliases, instance of, country, coordinates, population, inception, birth/death dates, occupation, official website, image and the Wikipedia link.

Linked items are resolved to human-readable labels, so you get "country": "France" instead of a bare Q142. Accepts plain search terms or exact Q-IDs. Available in any language. This actor is 100% free — you only pay your own Apify platform usage.

Input

FieldTypeDefaultDescription
queriesarray of strings(required)Search terms (Paris) or exact Q-IDs (Q90). One item per entry.
languagestringenLanguage for labels, descriptions and the Wikipedia sitelink.
resolveLabelsbooleantrueResolve referenced Q-IDs to readable labels.

Output

One dataset item per query, always with an explicit status field (found, not_found or error) — the actor never crashes on an unknown name.

{
"status": "found",
"query": "Paris",
"qid": "Q90",
"label": "Paris",
"description": "capital and most populous city in France",
"aliases": ["City of Light", "City of Love", "Lutetia"],
"sitelinkCount": 312,
"wikipediaTitle": "Paris",
"wikipediaUrl": "https://en.wikipedia.org/wiki/Paris",
"wikidataUrl": "https://www.wikidata.org/wiki/Q90",
"instanceOf": [{ "type": "item", "id": "Q484170", "label": "commune of France" }],
"country": [{ "type": "item", "id": "Q142", "label": "France" }],
"coordinates": [{ "type": "coordinates", "latitude": 48.8566, "longitude": 2.3522 }],
"population": [{ "type": "quantity", "amount": 2145906, "unit": null }],
"inception": [{ "type": "time", "value": "-300 BCE" }],
"officialWebsite": [{ "type": "string", "value": "https://www.paris.fr/" }],
"error": null
}

Mapped properties: instanceOf (P31), subclassOf (P279), country (P17), locatedIn (P131), coordinates (P625), inception (P571), dateOfBirth (P569), dateOfDeath (P570), population (P1082), officialWebsite (P856), image (P18), occupation (P106), countryOfCitizenship (P27).

Use cases

  • Entity resolution & enrichment — map messy names (cities, companies, people) to stable Q-IDs.
  • Feed a RAG / LLM pipeline with trustworthy, citable facts and Wikipedia links.
  • Build a gazetteer or dataset with coordinates, populations and countries in one run.
  • Cross-language lookup — get the same entity's label and Wikipedia article in any language.

Limitations & fair use

  • Uses the public Wikidata wbsearchentities / wbgetentities API. Search returns the best single match; pass an exact Q-ID when precision matters.
  • Only the properties listed above are surfaced as fields — Wikidata entities can have hundreds of properties. Deprecated-rank statements are dropped.
  • Dates use Wikidata's precision model and can be partial (year only, or BCE) — the value string reflects that faithfully.
  • Wikidata content is CC0 (public domain), so it is free to reuse; attribution is appreciated.
  • A polite delay is applied between requests; label lookups are batched (50 per request). Calls retry up to 3 times with backoff; failures become an error item rather than crashing the run.

More actors by this developer

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