Wikidata Entity Search Scraper

Wikidata Entity Search Scraper

Scrape Wikidata entity search results for any term, in 20 languages, up to a million entities per run. Every entity comes with its QID, label, description, aliases, and optional full claims and sitelinks. No API key or login. Export to CSV, JSON, Excel, or XML.

Wikidata's official API needs a user agent, rate limits, and manual pagination. This reads the public entity search endpoint directly, filtered by language and entity type, and returns each match in one fixed schema. It is the fastest way to build a knowledge graph dataset from Wikidata without writing code.

Who uses it	What they scrape Wikidata for
Knowledge graph engineers	Enriching internal entities with Wikidata QIDs and descriptions
Market researchers	Building lists of companies, people, or products from Wikidata
SEO analysts	Collecting entity labels and aliases for semantic search optimization
Data journalists	Gathering structured facts about a topic for a story
Academic researchers	Creating datasets of concepts, places, or works for analysis

What it does

This Actor collects Wikidata entities by search term, language, and type, and returns each one as a flat row with its QID, label, description, aliases, and optional full claims and sitelinks.

• 🔍 Search by term: enter any entity name or phrase, from 'tesla' to 'quantum physics'.
• 🌐 20 languages: search in English, Spanish, French, German, Japanese, Chinese, and more.
• 📊 Entity types: filter to items (Q-entities) or properties (P-entities).
• 📦 Full claims: optionally fetch statements, sitelinks, and aliases for each entity.
• ⚡ Up to 1M entities: set maxItems to collect as many results as you need.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Wikidata data

📈 Build a knowledge graph.

A data engineer runs the Actor with a list of company names and fetches full claims to link internal records to Wikidata QIDs and external identifiers.

🔎 Enrich SEO entities.

An SEO analyst searches for a topic in multiple languages and exports labels and aliases to optimize content for semantic search.

📰 Gather facts for a story.

A journalist searches for a person or event and collects descriptions, aliases, and sitelinks to verify facts and find sources.

🎓 Create a research dataset.

An academic researcher searches for concepts in a domain and exports QIDs and descriptions to build a corpus for analysis.

🏢 Enrich CRM records.

A sales operations manager searches for company names and fetches full claims to append industry, location, and identifiers to CRM entries.

Why choose this scraper

	What you get
No API key	Uses the public Wikidata search endpoint, no registration or OAuth.
Fixed schema	Every entity returns the same flat fields, ready for CSV or database import.
Multilingual	Search in 20 languages and get labels and descriptions in that language.
Full claims	Optionally fetch statements, sitelinks, and aliases with one extra call per entity.
Scalable	Collect up to 1,000,000 entities per run, with automatic pagination.

How it compares

This Actor focuses on flexible Wikidata entity search with language and type filters, while the competitors below target specific use cases like PEP screening or basic entity listing.

Feature	ParseForge	PEP Screening - OpenSanctions + Wikidata + National Registries	Wikidata Entities Scraper - Knowledge Graph Search
Search by arbitrary term	Yes	Not listed	Yes
Language filter (20 languages)	Yes	Not listed	Not listed
Entity type filter (item/property)	Yes	Not listed	Not listed
Fetch full claims and sitelinks	Yes	Not listed	Not listed
PEP screening for AML/KYC	Not listed	Yes	Not listed
Up to 1M entities per run	Yes	Not listed	Not listed

Configure the run

Drive the Actor from a search term, language, and entity type, and optionally fetch full claims for each entity. Filters run as each result is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10,
 "query": "tesla",
 "language": "en",
 "entityType": "item"
}

A larger pull:

{
 "maxItems": 200,
 "query": "tesla",
 "language": "en",
 "entityType": "item"
}

Pricing

Pay-per-result: $0.01867 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$1.87
1,000 results	$18.67
10,000 results	$186.70

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Wikidata Entity Search Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Wikidata through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/wikidata-entity-search-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check your search term. Wikidata search is exact on labels and aliases, so try a broader term or a different language. Also ensure entityType matches what you expect, e.g., 'item' for things, 'property' for attributes.

Why is the run slow?

If 'fetch full claims' is enabled, the Actor makes an extra API call per entity. Disable it for faster runs if you only need basic fields.

Why are some fields empty?

Not all entities have descriptions, aliases, or claims. Empty fields are normal. Use the full claims option to get more data when available.

Why did I get fewer results than maxItems?

The Actor stops when Wikidata has no more results for your query. Try a more general search term or a different language.

Why do I see a 429 error?

Wikidata rate limits may be hit on very large runs. The Actor retries automatically, but you can reduce maxItems or run during off-peak hours.

FAQ

Question	Answer
What is Wikidata?	Wikidata is a free and open knowledge base by the Wikimedia Foundation. It stores structured data about entities like people, places, concepts, and works, each with a unique QID.
Do I need an API key or login?	No. The Actor uses the public Wikidata search endpoint, so you only need an Apify account to run it.
What is a QID?	A QID is the unique identifier for an item in Wikidata, like Q42 for Douglas Adams. Properties have PIDs, like P31 for 'instance of'.
What is the difference between items and properties?	Items (Q-entities) are things like people, places, or concepts. Properties (P-entities) are relationships or attributes, like 'date of birth' or 'country'.
What does 'fetch full claims' do?	When enabled, the Actor makes one extra API call per entity to fetch all statements, sitelinks, and aliases. This gives you complete data but increases runtime.
How many entities can I collect?	You can set maxItems up to 1,000,000. The Actor will paginate through search results until it reaches that number or no more results exist.
Which languages are supported?	20 languages: English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Japanese, Chinese, Korean, Arabic, Hindi, Turkish, Polish, Swedish, Finnish, Danish, Norwegian, and Czech.
Can I search for multiple terms at once?	The Actor accepts one search term per run. To search multiple terms, run the Actor multiple times or use Apify's scheduler or API to loop over a list.
What output formats are available?	You can export results as CSV, JSON, Excel, or XML from the Apify dataset.
Is this the same as the Wikidata API?	Yes, it uses the official Wikidata search API under the hood, but handles pagination, rate limits, and schema normalization for you.
Can I get data in a language other than English?	Yes, set the language parameter to any of the 20 supported codes. Labels and descriptions will be returned in that language when available.
What is the cost?	The Actor runs on Apify's platform. You pay only for the compute resources used, with a free monthly tier available.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Wikimedia Foundation, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.