Wikidata Entity Lookup & SPARQL Runner
Pricing
$0.80 / 1,000 rows
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. Extracts fields: input, id, url, label, description, aliases, wikipediaTitle, properties.
You can access the Wikidata Entity Lookup & SPARQL Runner programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "entities": [9 "Apple Inc.",10 "Q90",11 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("shawndunn/wikidata-entity-lookup-sparql").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")18for item in client.dataset(run.default_dataset_id).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Wikidata Entity Lookup & SPARQL Runner API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: