# Wikidata SPARQL — Run Any Query, Get Flat Rows (`alaudinburki/wikidata-sparql`) Actor

Run a SPARQL query against Wikidata and get flat rows — one row per result, with the columns named by the variables you selected. Free public endpoint, no key.

- **URL**: https://apify.com/alaudinburki/wikidata-sparql.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Categories:** Developer tools
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Wikidata SPARQL — Run Any Query, Get Flat Rows

Run a SPARQL query against Wikidata and get flat rows — one row per result, with **the columns named
by the variables you selected**. Free public endpoint, no key.

This is the generalist: instead of a fixed schema, it returns whatever your query asked for.

### What you get

Whatever variables your `SELECT` names. Each cell is unwrapped from SPARQL's `{type, value}` form, so
`?countryLabel` becomes a `countryLabel` field. Plus `id` and `source`.

### Sample output

```json
{ "id": "sparql:http://www.wikidata.org/entity/Q142",
  "countryLabel": "France", "pop": "68605616" }
```

### Limitations

- **You must write correct SPARQL**, and the query is sent as-is. An invalid query returns a 400 from
  Wikidata, surfaced as an error rather than a result.
- **Complex property paths time out.** `wdt:P31/wdt:P279*` across a large class can exceed Wikidata's
  query budget; the Actor allows 120 seconds, but a genuinely expensive query will still fail. Narrow
  it with `VALUES`, `LIMIT` or a specific class.
- **Cells are strings**, because SPARQL returns everything as a literal or a URI — `pop` above is
  `"68605616"`, not a number.
- Use `SERVICE wikibase:label` to get readable labels; without it you get bare QIDs.
- Wikidata is community-edited and changes; and its endpoint is a shared public resource, so run
  infrequently and with `LIMIT`.

### Pricing

Pay per result.

### Fields

| Field | Type | What it holds |
|---|---|---|
| `id` | string | Stable row id, prefixed `sparql:` and taken from the first projected variable. |
| `source` | string | Always `wikidata-sparql`, so rows from several runs can be told apart. |

# Actor input Schema

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

A full SPARQL SELECT against the Wikidata endpoint. Use SERVICE wikibase:label to get readable labels for entity variables.

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

Stop after this many rows.

## `maxPages` (type: `integer`):

Stop after this many pages.

## Actor input object example

```json
{
  "maxItems": 500,
  "maxPages": 5
}
```

# Actor output Schema

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

One row per SPARQL solution. Besides `id` and `source`, each row carries whatever variables the query projected — the columns are defined by YOUR query, so they cannot be listed in advance.

# 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 = {
    "maxItems": 500,
    "maxPages": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/wikidata-sparql").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 = {
    "maxItems": 500,
    "maxPages": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/wikidata-sparql").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 '{
  "maxItems": 500,
  "maxPages": 5
}' |
apify call alaudinburki/wikidata-sparql --silent --output-dataset

```

## MCP server setup

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

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/iBu4bWOojAdc0RbL8/builds/M1zKdy4FniDYiPvGs/openapi.json