Wikidata Entities & Knowledge Graph Scraper

Here is one real result, with every field the actor returns:

{
  "qid": "Q95",
  "label": "Google",
  "description": "American multinational technology company, a subsidiary of Alphabet Inc.",
  "aliases": [],
  "instanceOf": "business",
  "country": "United States",
  "industry": "Internet industry",
  "headquarters": "Mountain View",
  "website": "https://about.google/",
  "inception": "1998-09-04",
  "email": "opensource@google.com",
  "phone": null,
  "twitter": "https://twitter.com/Google",
  "facebook": "https://www.facebook.com/google",
  "instagram": "https://www.instagram.com/google",
  "youtube": "https://www.youtube.com/channel/UCK8sQmJBp8GCxrOtXWBpyEA",
  "linkedin": "https://www.linkedin.com/company/google",
  "github": "https://github.com/google",
  "crunchbase": "https://www.crunchbase.com/organization/google",
  "ceo": "Larry Page",
  "founders": ["Sergey Brin", "Larry Page"],
  "parentOrganization": "Alphabet Inc.",
  "legalForm": "corporation",
  "stockExchange": "Nasdaq",
  "employees": 47756,
  "officialName": "Google LLC",
  "logo": "https://commons.wikimedia.org/wiki/Special:FilePath/Google_2026_logo.svg",
  "image": "https://commons.wikimedia.org/wiki/Special:FilePath/Googleplex_HQ_(cropped).jpg",
  "latitude": null,
  "longitude": null,
  "url": "https://www.wikidata.org/wiki/Q95",
  "source": "Wikidata",
  "observedAt": "2026-08-10T14:29:22.011Z"
}

The most complete Wikidata entity scraper available. It searches the Wikidata knowledge graph by keyword and returns a flat, enriched record per entity, resolving item references into human-readable values and pulling out contact, social, corporate and geo fields so you can use the data without writing SPARQL.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor searches Wikidata for the keyword you pass, opens each matching entity, resolves its statements (turning item Q-ids into readable labels), and writes one normalized record per entity to the run's dataset. It pulls out contact fields (email, phone), social profiles (Twitter, Facebook, Instagram, YouTube, LinkedIn, GitHub, Crunchbase), corporate fields (CEO, founders, parent organization, legal form, stock exchange, employees) and geo coordinates when present. Missing source values are returned as null.

Data covers any entity in Wikidata: companies, people, places, organizations, works and more. Fields that do not apply to a given entity type are returned as null.

Quickstart

Open the actor, paste this into the input, and press Run. It returns the 10 top Wikidata entities matching Google.

{
  "maxEntities": 10,
  "searchQuery": "Google"
}

Change searchQuery to any name or keyword (for example Albert Einstein, Paris, Tesla). Both fields are optional; maxEntities defaults to 10.

Input reference

Field	Type	Required	Default	Description
maxEntities	integer	no	10	Maximum number of entities to collect.
searchQuery	string	no	Google	The keyword or entity name to search for on Wikidata, for example Google, Albert Einstein, Paris.

Output reference

One dataset item per entity. Types: string, integer, number, string[], or null when the source value is absent or does not apply to the entity type.

Field	Type	Description
qid	string	Wikidata entity ID (Q-number), for example Q95.
label	string	Primary English label of the entity.
description	string	Short English description from Wikidata.
aliases	string[]	Alternative names/aliases. Empty array when none.
instanceOf	string	What the entity is (resolved instance of), for example business.
country	string	Country associated with the entity.
industry	string	Industry, for company entities.
headquarters	string	Headquarters location.
website	string	Official website URL.
inception	string	Founding/inception date (YYYY-MM-DD when known).
email	string	Public contact email when present, else null.
phone	string	Public phone when present, else null.
twitter	string	Twitter/X profile URL, or null.
facebook	string	Facebook profile URL, or null.
instagram	string	Instagram profile URL, or null.
youtube	string	YouTube channel URL, or null.
linkedin	string	LinkedIn company/person URL, or null.
github	string	GitHub profile/organization URL, or null.
crunchbase	string	Crunchbase organization URL, or null.
ceo	string	Chief executive officer name, for companies.
founders	string[]	Founder names. Empty array when none.
parentOrganization	string	Parent organization name, or null.
legalForm	string	Legal form, for example corporation.
stockExchange	string	Stock exchange the entity is listed on.
employees	integer	Number of employees when published, else null.
officialName	string	Official/legal name, for example Google LLC.
logo	string	Logo image URL (Wikimedia Commons).
image	string	Representative image URL (Wikimedia Commons).
latitude	number	Latitude when the entity has coordinates, else null.
longitude	number	Longitude when the entity has coordinates, else null.
url	string	Wikidata entity page URL.
source	string	Constant Wikidata.
observedAt	string	ISO 8601 timestamp of when the record was collected.

Example output record

Real record from a live run (input {"maxEntities": 10, "searchQuery": "Google"}):

{
  "qid": "Q95",
  "label": "Google",
  "description": "American multinational technology company, a subsidiary of Alphabet Inc.",
  "aliases": [],
  "instanceOf": "business",
  "country": "United States",
  "industry": "Internet industry",
  "headquarters": "Mountain View",
  "website": "https://about.google/",
  "inception": "1998-09-04",
  "email": "opensource@google.com",
  "phone": null,
  "twitter": "https://twitter.com/Google",
  "facebook": "https://www.facebook.com/google",
  "instagram": "https://www.instagram.com/google",
  "youtube": "https://www.youtube.com/channel/UCK8sQmJBp8GCxrOtXWBpyEA",
  "linkedin": "https://www.linkedin.com/company/google",
  "github": "https://github.com/google",
  "crunchbase": "https://www.crunchbase.com/organization/google",
  "ceo": "Larry Page",
  "founders": ["Sergey Brin", "Larry Page"],
  "parentOrganization": "Alphabet Inc.",
  "legalForm": "corporation",
  "stockExchange": "Nasdaq",
  "employees": 47756,
  "officialName": "Google LLC",
  "logo": "https://commons.wikimedia.org/wiki/Special:FilePath/Google_2026_logo.svg",
  "image": "https://commons.wikimedia.org/wiki/Special:FilePath/Googleplex_HQ_(cropped).jpg",
  "latitude": null,
  "longitude": null,
  "url": "https://www.wikidata.org/wiki/Q95",
  "source": "Wikidata",
  "observedAt": "2026-08-10T14:29:22.011Z"
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~wikidata-entities-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQuery":"Tesla","maxEntities":10}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~wikidata-entities-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQuery":"Albert Einstein","maxEntities":25}'

Apify CLI:

apify call scrapers_lat/wikidata-entities-scraper \
  --input '{"searchQuery":"Paris","maxEntities":10}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per entity returned (result event). See the pricing tab for the current per-result price.
• No charge on failure. If a run errors, the actor does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 entities per run. Upgrade for higher maxEntities.

FAQ and troubleshooting

A run returned 0 records. Why? The keyword matched no Wikidata entity. Try a broader or differently spelled searchQuery. Zero-result runs are not charged.

Why are so many fields null for my entity? Wikidata coverage varies by entity. Fields that do not apply to an entity type (for example ceo on a place) or that are simply not filled in on Wikidata are returned as null, never invented.

How do I get one specific entity? Search for its exact name. The first matching result is usually the entity you want; increase maxEntities to see close matches.

Do I need to know SPARQL? No. The actor handles the graph queries and reference resolution and returns flat, readable records.

Is this an official Wikidata tool? No. This actor is independent and has no affiliation with Wikidata or the Wikimedia Foundation. It reads only publicly available Wikidata content, which is released under CC0.

Related scrapers

• GLEIF LEI Company Records Scraper: Legal Entity Identifier records worldwide.
• Crunchbase Company Scraper: Company profiles and funding data.
• Company Research & Enrichment Tool: Firmographic enrichment for a domain.
• GitHub Repositories Scraper: Public GitHub repositories and metadata.
• World Bank Indicators Scraper: Country development indicators.
• Crossref Scholarly Metadata Scraper: Scholarly works metadata by DOI.

More scrapers at scrapers.lat

Built and maintained by scrapers.lat, where we publish scrapers for US and Latin American public platforms: company registries, government data, finance, e-commerce and more. Browse the catalog or request a custom scraper at scrapers.lat.

---

Independent tool, not affiliated with Wikidata or the Wikimedia Foundation. Accesses only publicly available Wikidata content (CC0).