Wikidata Scraper - Knowledge Graph Entity Data

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Wikimedia Foundation, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Wikidata" is referenced only to describe the publicly available website this Actor collects data from.

Search Wikidata - the free knowledge graph behind Wikipedia - or resolve Q-ids directly, and get clean structured rows for every entity: label, description, aliases, instance-of, country, industry, founders, CEO, headquarters, official website, coordinates, ISIN, revenue and the Wikipedia link. Built for entity resolution and data enrichment. No key, no browser.

What you get per entity

Field	Meaning
id / label / description / aliases	Q-id, name, one-line description and alternate names
instanceOf / subclassOf / dataType	What kind of thing it is
country / headquartersLocation / coordinates	Location data
industry / employees / founders / ceo / revenue	Company facts where present
officialWebsite / officialName / legalForm / isin / stockExchange	Corporate identifiers
ownedBy / parentOrg / partOf / inception	Ownership and history
claimPropertyCount / wikipediaUrl / wikidataUrl	Richness signal and canonical links

Input

{ "searchQueries": ["Tesla", "Marie Curie"], "language": "en", "maxItemsPerQuery": 10 }

• Search terms - names or terms, one per line; each resolves to matching entities.
• Q-ids - exact entity lookups (e.g. Q42). Language - label/description language (falls back to English).
• Import from a file - paste a list, or link a public .txt/.csv, a Google Sheet/Drive link, or an Apify key-value-store record (terms and Q-ids auto-detected). Output fields trim every record.

Leave everything empty and the run returns a small free sample so you can see the shape first.

Reliability

Reads the official Wikidata API (wbsearchentities + wbgetentities) - public, keyless, no anti-bot, batched 50 entities per request. A search that returns nothing bills $0.

Honest limits

• Claims are a curated high-value subset (instance-of, country, industry, founders, CEO, website, coordinates, ISIN and more), not every one of Wikidata's thousands of properties - claimPropertyCount tells you how many the entity has in total, and wikidataUrl links the full record.
• A field is present only when the entity has that claim - most items are not companies, so corporate fields (CEO, ISIN, revenue) are null for people, places and concepts. That is the data's shape.
• Coverage and freshness follow Wikidata's community edits.

Pricing

$0.001 per entity on the FREE tier (tiered pricing lowers it with volume). Only entities actually saved are billed; an empty search costs nothing.

Output views

• Entities - Q-id, label, description, instance-of, country, website and Wikipedia link.

Use with AI assistants (MCP)

Available through the Apify MCP server - an agent can resolve a company name to a canonical Q-id, enrich a list with country/industry/website, or disambiguate entities in one call.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready - AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 - an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server - no account, no API key.
• Skyfire - agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API - start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python - official SDKs.
• Schedules - run it hourly, daily or weekly and keep your dataset current.
• Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/wikidata-scraper').call({
    "searchQueries": [
        "Apify"
    ],
    "maxItemsPerQuery": 10
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Integrate with any app

Connect the dataset to thousands of apps - no code required:

• Make - multi-step automation scenarios.
• Zapier - push new records straight into your CRM or spreadsheet.
• Slack - get notified when a scheduled run finds something new.
• Google Drive / Sheets - auto-export every run to a spreadsheet.
• Airbyte - pipe results into your data warehouse.
• GitHub - trigger runs from commits or releases.

FAQ

How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.

Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.

Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.

Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.

Is it legal to scrape Wikidata? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See the Disclaimer below.

Is this an official Wikidata tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from the Wikimedia Foundation, Inc. See the Disclaimer below.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Wikimedia Foundation, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

"Wikidata" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Wikidata product, is not authorised or certified by the Wikimedia Foundation, Inc., and does not distribute Wikidata software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

Need help?

Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.