# Wikidata SPARQL Scraper - Run SPARQL Queries (`gio21/wikidata-sparql-scraper`) Actor

Run SPARQL queries against the Wikidata Query Service and stream the results as a dataset.

- **URL**: https://apify.com/gio21/wikidata-sparql-scraper.md
- **Developed by:** [Gio](https://apify.com/gio21) (community)
- **Categories:** E-commerce, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 row scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Wikidata SPARQL Scraper

Run **SPARQL** queries against the Wikidata Query Service (`query.wikidata.org`) and get the rows back as a dataset, one flattened binding per row.

For knowledge-graph mining, structured data extraction, research datasets, entity enrichment.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `query` | String (required) | Your SPARQL query. The Wikidata endpoint enforces a 60s execution timeout. |
| `maxItems` | Integer | Cap on rows pushed (after the query's LIMIT). Default 200, max 10000. |

### Output

Each row flattens one SPARQL binding. For every variable `?x`, the dataset gets:

- `x` — the value
- `x_type` — `uri` / `literal` / `bnode`
- `x_lang` — language tag (literals only)
- `x_datatype` — datatype URI (literals only)

```json
{
  "country": "http://www.wikidata.org/entity/Q30", "country_type": "uri",
  "countryLabel": "United States of America", "countryLabel_type": "literal", "countryLabel_lang": "en",
  "capital": "http://www.wikidata.org/entity/Q61", "capital_type": "uri",
  "capitalLabel": "Washington, D.C.", "capitalLabel_type": "literal", "capitalLabel_lang": "en"
}
```

### Example queries

Sovereign states + capitals:

```sparql
SELECT ?country ?countryLabel ?capital ?capitalLabel WHERE {
  ?country wdt:P31 wd:Q3624078.
  ?country wdt:P36 ?capital.
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
```

All Nobel Prize winners:

```sparql
SELECT ?person ?personLabel ?prizeLabel ?year WHERE {
  ?person wdt:P166 ?prize .
  ?prize wdt:P31/wdt:P279* wd:Q7191 .
  OPTIONAL { ?person p:P166 ?stmt . ?stmt ps:P166 ?prize . ?stmt pq:P585 ?date . BIND(YEAR(?date) AS ?year) }
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
LIMIT 1000
```

### Pricing

$0.0005/row.

### Limitations

- Query timeout is 60s server-side. Heavy queries should add `LIMIT` and use specific entity filters.
- Wikidata enforces a courteous-use User-Agent; this actor sets one automatically.

If this actor helped you, please leave a review on the Apify Store.

# Actor input Schema

## `query` (type: `string`):

SPARQL query to run against the Wikidata Query Service (https://query.wikidata.org).

## `maxItems` (type: `integer`):

Cap on bindings returned (LIMIT in your query still applies).

## `debug` (type: `boolean`):

Verbose logging.

## Actor input object example

```json
{
  "query": "SELECT ?country ?countryLabel ?capital ?capitalLabel WHERE {\n  ?country wdt:P31 wd:Q3624078.\n  ?country wdt:P36 ?capital.\n  SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }\n}\nLIMIT 50",
  "maxItems": 200,
  "debug": false
}
```

# Actor output Schema

## `results` (type: `string`):

Each row is a flattened binding with `_type` per variable (uri/literal/bnode) preserved as `<var>_type`.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": `SELECT ?country ?countryLabel ?capital ?capitalLabel WHERE {
  ?country wdt:P31 wd:Q3624078.
  ?country wdt:P36 ?capital.
  SERVICE wikibase:label { bd:serviceParam wikibase:language "en". }
}
LIMIT 50`
};

// Run the Actor and wait for it to finish
const run = await client.actor("gio21/wikidata-sparql-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "query": """SELECT ?country ?countryLabel ?capital ?capitalLabel WHERE {
  ?country wdt:P31 wd:Q3624078.
  ?country wdt:P36 ?capital.
  SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\". }
}
LIMIT 50""" }

# Run the Actor and wait for it to finish
run = client.actor("gio21/wikidata-sparql-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "SELECT ?country ?countryLabel ?capital ?capitalLabel WHERE {\\n  ?country wdt:P31 wd:Q3624078.\\n  ?country wdt:P36 ?capital.\\n  SERVICE wikibase:label { bd:serviceParam wikibase:language \\"en\\". }\\n}\\nLIMIT 50"
}' |
apify call gio21/wikidata-sparql-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gio21/wikidata-sparql-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9r8OJam5tpicBgZwB/builds/pLc3fTli6WO0SqoCb/openapi.json