Wikidata Entity Scraper - Knowledge Graph Data avatar

Wikidata Entity Scraper - Knowledge Graph Data

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from $4.00 / 1,000 results

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Wikidata Entity Scraper - Knowledge Graph Data

Wikidata Entity Scraper - Knowledge Graph Data

Search or fetch Wikidata entities with labels, descriptions, aliases, claims, statement counts, sitelinks, and Wikipedia URLs in structured form.

Pricing

from $4.00 / 1,000 results

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Thirdwatch

Thirdwatch

Maintained by Community

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0

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2

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1

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2 days ago

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Wikidata Entity Scraper

Search or fetch Wikidata knowledge-graph entities with labels, aliases, claims, statements, sitelinks, and Wikipedia URLs.

What you get

Turn names, concepts, or exact Q-IDs into structured knowledge-graph rows. Search in a chosen language, fetch exact entities without injecting an unrelated default search, and enrich every match through Wikidata's entity API. Output includes human-readable metadata, simplified claim values, counts for statements and sitelinks, and direct Wikidata and language-matched Wikipedia links.

Output fields

FieldDescription
id, label, descriptionEntity identity and readable metadata
aliasesAlternative names in the requested language
matched_text, matched_typeSearch-match context when applicable
claimsProperty IDs mapped to simplified statement values
statements_count, sitelinks_countEntity richness indicators
wikipedia_url, entity_urlLanguage Wikipedia and Wikidata links
source, licenseWikidata attribution and CC0 license

Example output

{"id":"Q7259","label":"Ada Lovelace","description":"English mathematician","aliases":["Augusta Ada King"],"license":"CC0 1.0"}

Input parameters

ParameterRequiredDescription
queriesNoEntity names or concepts; empty permits exact-only lookup
entityIdsNoExact IDs such as Q42 or Q7259
languageNoLanguage code for search and labels; defaults to en
maxResultsPerQueryNoMaximum search matches per query; defaults to 10

Use cases

  • Data teams can enrich names with durable knowledge-graph identifiers.
  • Publishers can connect topics to Wikipedia and multilingual references.
  • Researchers can inspect statement and sitelink coverage across entities.
  • Developers can seed entity-resolution and taxonomy workflows.

Limitations

Wikidata is community-maintained, so labels, descriptions, claims, and sitelinks can change and may contain errors or gaps. Claim values are simplified for portability: complex qualifiers, ranks, references, calendars, precision, and units are not expanded into a full RDF model. Search relevance belongs to Wikidata. The Actor retrieves items, not MediaWiki pages or arbitrary SPARQL result sets.

Compared to alternatives

This Actor combines wbsearchentities and wbgetentities in one bounded Apify workflow. Unlike plain search output, it adds claims and richness counts. Unlike a SPARQL query builder, it requires no query-language knowledge and works naturally with saved Tasks, schedules, webhooks, and datasets.

FAQ

Yes. Leave queries empty and provide entityIds. The Actor will not inject a default query.

Can I reuse the output commercially?

Wikidata structured data is published under CC0. Review Wikimedia's current reuse guidance for your application and preserve useful source links.

Explore Wikidata Entity Scraper on thirdwatch.dev. Related Actors: OpenAlex Research Scraper, Crossref DOI Scraper, and Google Search Scraper.

Last verified: 2026-07