Wikidata Entity & Company Enrichment (facts, IDs, links) avatar

Wikidata Entity & Company Enrichment (facts, IDs, links)

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from $0.60 / 1,000 results

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Wikidata Entity & Company Enrichment (facts, IDs, links)

Wikidata Entity & Company Enrichment (facts, IDs, links)

Try for free

Wikidata Entity & Company Enrichment resolves a QID, company name, or Wikipedia URL to its Wikidata item and returns facts (country, HQ, founders, CEO, employees, revenue), identifiers (ISIN, Crunchbase, LinkedIn) and social/media links — one row per entity.

Pricing

from $0.60 / 1,000 results

Rating

0.0

(0)

Developer

Murat Uzun

Murat Uzun

Maintained by Community

Actor stats

0

Bookmarked

1

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0

Monthly active users

2 days ago

Last modified

Categories

Business

Lead generation

AI

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Wikidata Entity & Company Enrichment turns a QID (Q95), a name (Apify), or a Wikipedia article URL (https://en.wikipedia.org/wiki/Stripe,_Inc.) into a structured record of facts pulled straight from Wikidata, the free, editable knowledge base behind Wikipedia's infoboxes. Give it a list of companies, people, or places and get back one row per entity — no API key, no scraping walls, just Wikidata's own public REST endpoints.

What data does Wikidata Entity & Company Enrichment extract?

FieldDescription
qid, label, descriptionThe resolved Wikidata item, its English label and short description
matchConfidence1.0 for a direct QID/Wikipedia URL; 0.9/0.6/0.4 for a name search, by match quality
instanceOf, entityTypeWhat kind of thing it is (P31), bucketed into company/person/place/product
country, headquarters, inceptionP17, P159, P571
founders, ceo, employees, employeesAsOfP112, P169, P1128 (latest count by its point-in-time qualifier)
revenue, revenueCurrency, revenueAsOfP2139, latest by point-in-time qualifier
website, industries, parentOrganization, legalFormP856, P452, P749, P1454
isin, crunchbaseId, linkedinIdP946, P2088, P4264
twitter, facebook, instagram, youtubeChannelIdP2002, P2013, P2003, P1651
coordinates, imageUrl, logoUrlP625, and Commons URLs built from P18/P154
wikipediaUrl, wikidataUrlThe enwiki sitelink and the canonical Wikidata item link

Pricing: Wikidata Entity & Company Enrichment (facts, IDs, links) costs $1.00 per 1,000 results (pay per result, no subscription; Apify's free plan credit covers small runs).

Every claim missing on a given entity comes back as null rather than an error — a person has no revenue, a startup has no ISIN, and that is expected.

How to use Wikidata Entity & Company Enrichment

  1. Click Try for free (or Start) on this Actor's page.
  2. In Entities, list what you want resolved: QIDs, company/person names, or Wikipedia URLs — one per line.
  3. Optionally set Language (default en), an Entity type filter to prefer a company/person/place/product match on ambiguous name searches, and Max concurrency.
  4. Run the Actor. Each entity becomes one dataset row.
  5. Open the Dataset tab and export as JSON, CSV, Excel, or HTML — or pull it via the API into your CRM or enrichment pipeline.

Example input

{
    "entities": ["Q95", "Apify", "https://en.wikipedia.org/wiki/Stripe,_Inc."],
    "language": "en",
    "entityType": "any",
    "maxConcurrency": 5
}

Example output

{
    "query": "Apify",
    "qid": "Q112502991",
    "label": "Apify",
    "description": "Czech tech startup",
    "matchConfidence": 0.9,
    "entityType": "company",
    "country": "Czech Republic",
    "headquarters": "Prague",
    "employees": 66,
    "employeesAsOf": "2021-01-01",
    "revenue": 298000000,
    "revenueCurrency": "Czech koruna",
    "website": "https://apify.com/",
    "wikidataUrl": "https://www.wikidata.org/wiki/Q112502991",
    "scrapedAt": "2026-09-12T18:44:51.519Z"
}

Input parameters

  • Entities (entities, required) — QIDs, names, or Wikipedia URLs to resolve. Default ["Q95"].
  • Language (language) — Wikidata/Wikipedia language code for labels and search. Default en.
  • Entity type filter (entityType) — any, company, person, place, or product; nudges name-search matching toward that instance-of type. Default any.
  • Max concurrency (maxConcurrency) — parallel entities processed at once, 1-20. Default 5.

Pricing

This Actor is pay-per-result at $0.001 per row. Enriching 1,000 entities costs about $1 in Actor charges (plus your Apify platform compute-unit usage, which is minimal since every call is a small JSON fetch — no browser, no proxy).

Wikidata Entity & Company Enrichment vs. a manual Wikidata lookup

Looking up one company on wikidata.org and copying its infobox takes a minute; doing it for a list of 500 leads does not scale. This Actor batches the same lookups — search, entity fetch, and label resolution for every referenced ID — behind one input list, on a schedule if you want it, and exports straight to CSV or your CRM via Apify's integrations (Zapier, Make, n8n).

Using Wikidata Entity & Company Enrichment with AI agents

The Actor is built pay-per-event so it is callable through the Apify MCP server or any agent framework: pass an entity name or QID, get back a structured company/person profile an LLM can reason over (industry, HQ, employee count, official links) without the model having to parse a Wikipedia infobox itself.

FAQ

Is this legal? Yes — Wikidata is public-domain (CC0) structured data, and this Actor only calls Wikidata's own public API endpoints (wbsearchentities, Special:EntityData, wbgetentities) plus Wikipedia's pageprops endpoint, at a modest rate.

Why is a field null? Wikidata simply has no statement for that property on that entity — a common, expected outcome, not a bug.

Can I search by company name instead of QID? Yes — plain names go through wbsearchentities; matchConfidence tells you how sure the match is (1.0 exact QID/URL, 0.9 exact label match, 0.6 best-guess first result, 0.4 a lower-ranked type-matched result).

Something looks wrong or missing. Open an issue on the Actor's Issues tab with the entity you tried — Wikidata's data model has edge cases (multiple CEOs, deprecated statements) this Actor resolves with best-rank/latest-by-date heuristics.

Part of the webdatatools web-intelligence suite — every Actor is pay-per-event, reads public data without a login, and returns one clean row per entity:

Browse the whole suite at webdatatools, or call ten of these Actors straight from Claude, Cursor or Cline with the webdatatools MCP server.

Website & domain intelligence

Content for AI, LLMs and RAG

Search, video and social

Leads, jobs and company data

Developer, app and research data

Support

Found a bug or want a feature (more properties, more languages, bulk CSV upload)? Use the Issues tab on this Actor's Apify Store page — it is the fastest way to reach the maintainer.

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