Wikidata Entity Lookup & SPARQL Runner

Look up entities by name or Q-id and get every property with human-readable labels (not raw P/Q codes), or run any SPARQL SELECT on the Wikidata Query Service and get a flat dataset.

Why this actor

• Labels resolved automatically — competitors return raw P/Q codes.
• Pay only for results: $0.80 per 1,000 rows, no start fee, failed lookups are free.
• Robust: automatic retries with exponential backoff, respects Retry-After, per-item error rows instead of crashed runs.
• Clean, flat JSON/CSV/Excel output ready for Google Sheets, Make, Zapier, n8n, Clay, or the Apify API.

Use cases

• Company/person/place enrichment from structured open data
• Build lists (e.g. all listed companies in a country) via SPARQL
• Knowledge-graph seeding for AI apps
• Academic research

Input

Field	Type	Description
entities	array	Names (best match is used) or Q-ids. Returns all properties with human-readable labels.
sparql	string	Run any Wikidata Query Service SELECT; one row per result binding. Overrides 'entities'.
language	string	Language for labels.
maxItems	integer	0 = no limit. Caps cost.

Example input:

{
  "entities": [
    "Apify",
    "Q90"
  ],
  "language": "en"
}

Output

Each dataset item looks like this (real sample from a test run, long fields trimmed):

{
  "input": "Apify",
  "id": "Q112502991",
  "url": "https://www.wikidata.org/wiki/Q112502991",
  "label": "Apify",
  "description": "Czech tech startup",
  "aliases": [
    "Apify Technologies s.r.o."
  ],
  "wikipediaTitle": null,
  "properties": {
    "logo image": [
      "Apify Logo.svg"
    ],
    "instance of": [
      "startup company",
      "technology company",
      "software company",
      "\u2026"
    ],
    "inception": [
      "2016-02-15",
      "2017-00-00"
    ],
    "Czech Registration ID (I\u010cO)": [
      "04788290"
    ],
    "Legal Entity Identifier": [
      "315700DHB47UOCE2LE29"
    ],
    "official name": [
      "Apify Technologies s.r.o."
    ],
    "ISDS ID": [
      "3csncuw"
    ],
    "image": [
      "Pal\u00e1c Lucerna Praha 02.JPG"
    ],
    "country": [
      "Czech Republic"
    ],
    "official website": [
      "https://apify.com/"
    ],
    "employees": [
      "66",
      "5"
    ],
    "total revenue": [
      "4851223",
      "535988",
      "170000000",
      "\u2026"
    ],
    "described at URL": [
      "https://www.ft.com/ft1000-2023"
    ],
    "AlternativeTo ID": [
      "apifier"
    ],
    "legal form": [
      "spole\u010dnost s ru\u010den\u00edm omezen\u00fdm"
    ],
    "headquarters location": [
      "Prague"
    ],
    "OpenCorporates organization ID": [
      "cz/04788290"
    ],
    "\u200eHAND ID": [
      "C0FE-099C-283A-2764-0DDB"
    ]
  },
  "scrapedAt": "2026-10-14T16:21:17+00:00"
}

Rows that could not be processed contain an error field and are not charged.

Pricing

Pay-per-event: $0.0008 per row (= $0.80 / 1,000). Use Max results to cap spend. Apify's free plan credit covers thousands of results per month.

Integrations & API

Run on a schedule in Apify Console, call via the Apify API / Python & JS clients, or connect to Make, Zapier, n8n, Google Sheets, Slack and webhooks. Works as a tool for AI agents via Apify MCP.

FAQ

Is this an official tool? No. It is an independent actor and is not affiliated with, sponsored or endorsed by the data source or any trademark owner named here.

Is it legal? The actor only reads publicly available data from public endpoints, without logins, and does not bypass paywalls or access controls. You are responsible for using the data in line with applicable laws (e.g. GDPR) and the source sites' terms.

Something broke? Open an issue in the Issues tab; we typically respond within 24 hours and ship fixes fast.