# Wikidata Scraper - Entity Search & Claims, $0.20/1k (`dami_studio/wikidata-scraper`) Actor

The cheapest way to turn names into structured entities - $0.20 per 1,000, lower than every rival on the Store. Search Wikidata by name or resolve Q-ids to labels, descriptions, aliases, instance-of, occupation, country of citizenship, simplified claims and the Wikipedia link. No key, no login.

- **URL**: https://apify.com/dami\_studio/wikidata-scraper.md
- **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community)
- **Categories:** Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 item returneds

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/platform/actors/running/actors-in-store#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 Scraper

Search [Wikidata](https://www.wikidata.org) by name or phrase, or resolve a list of Q-ids into full, structured records — straight from the public MediaWiki / Wikibase API. **No API key, no login.**

Two modes:

- **Search** — free-text query (e.g. `douglas adams`) → matching entities with their Q-id, label and description.
- **Entities** — a list of Q-ids (e.g. `["Q42","Q5"]`) → full records: label, description, aliases, instance-of, occupation, citizenship, a simplified claims summary, and the linked Wikipedia article.

### Input

| Field | Notes |
|---|---|
| `mode` | `search` (default) or `entities`. |
| `query` | Search term. Used in **search** mode. |
| `ids` | Array of Q-ids, e.g. `["Q42","Q5"]`. Used in **entities** mode. Batched 50/request. |
| `language` | Term language, e.g. `en`, `fr`, `de`. Falls back to the multilingual (`mul`) value when missing. |
| `maxItems` | Max entities to return (search mode is capped at 50 per query by the API). |

### Output

One dataset row per entity.

**Search mode** rows:

```
{ ok, id, label, description, aliases[], url }
```

**Entities mode** rows:

```
{ ok, id, label, description, aliases[],
  instanceOf[],            // P31, as Q-ids
  occupation[],            // P106, as Q-ids
  countryOfCitizenship[],  // P27, as Q-ids
  claimsSummary,           // { Pxx: [simplified values] }
  enwikiTitle, enwikiUrl,  // linked English Wikipedia article (null if none)
  url }                    // https://www.wikidata.org/wiki/{id}
```

#### How claims are simplified

`claimsSummary` flattens each property's statements into a list of scalar values:

- `wikibase-entityid` → `"Q…"` (the referenced item; not re-resolved — look it up separately if you need its label)
- `time` → the time string (e.g. `+1952-03-11T00:00:00Z`)
- `quantity` → the amount (e.g. `+1.96`)
- `monolingualtext` / `string` → the text
- `globecoordinate` → `"lat,lon"`
- anything else → compact JSON, trimmed

To keep rows a sensible size, the summary keeps up to 60 properties and up to 20 values per property. `instanceOf`, `occupation` and `countryOfCitizenship` are surfaced as their own fields for convenience (also as Q-ids).

#### The multilingual (`mul`) fallback

Many international entities store their canonical label/aliases under Wikidata's special `mul` (multilingual) language rather than per-language. For example, `Q42`'s label lives under `mul`, not `en`. This actor always requests both your chosen language **and** `mul`, so you still get `label: "Douglas Adams"` for `Q42`.

### Pricing

Pay-per-result: you are charged one `item` per genuine entity row (`ok: true`). You are **never** charged for:

- empty/invalid input — a single `ok: false` diagnostic row with `errorCode: "BAD_INPUT"`,
- no matches / no existing ids (`NO_RESULTS`),
- rate limits or network errors (`RATE_LIMITED` / `NETWORK`).

#### Proxy

The Wikidata API is a public, no-auth JSON API with no anti-bot, so **no proxy is required** and the default runs without one (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits at very high volume. A descriptive `User-Agent` is sent on every request per Wikimedia's API etiquette.

### Examples

Search:

```json
{ "mode": "search", "query": "douglas adams", "language": "en", "maxItems": 10 }
```

Resolve entities:

```json
{ "mode": "entities", "ids": ["Q42", "Q5"], "language": "en" }
```

### Billing

Two charges apply: a **$0.001 run-start fee** each time a run begins, and the per-result fee for results actually delivered. Samples, diagnostics, duplicates, blocked look-ups and no-result runs **never incur the per-result fee** — a run that returns nothing costs only the $0.001 start fee.

# Actor input Schema

## `mode` (type: `string`):

What to do. "search" runs a free-text entity search and returns matching Q-ids with their label/description. "entities" takes a list of Q-ids and returns full records (aliases, claims, Wikipedia link).

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

Free-text term to search Wikidata for, e.g. "douglas adams" or "eiffel tower". Used only in "search" mode. Leave empty when using "entities" mode.

## `ids` (type: `array`):

List of Wikidata item ids to resolve, e.g. \["Q42", "Q5"]. Used only in "entities" mode. Up to 50 ids are fetched per API request automatically.

## `language` (type: `string`):

Language code for labels, descriptions and aliases, e.g. en, fr, de, es, ja. Falls back to the multilingual (mul) value when a term isn't available in this language.

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

Maximum number of entities to return. In search mode the API caps results at 50 per query.

## `notionConnector` (type: `string`):

Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.

## `notionParentId` (type: `string`):

Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.

## `proxyConfiguration` (type: `object`):

OPTIONAL. The Wikidata MediaWiki/Wikibase API is a public, no-auth JSON API with no anti-bot, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits at very high volume.

## Actor input object example

```json
{
  "mode": "search",
  "query": "douglas adams",
  "ids": [
    "Q42",
    "Q5"
  ],
  "language": "en",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead.

# 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": "douglas adams",
    "ids": [
        "Q42",
        "Q5"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dami_studio/wikidata-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": "douglas adams",
    "ids": [
        "Q42",
        "Q5",
    ],
}

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

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": "douglas adams",
  "ids": [
    "Q42",
    "Q5"
  ]
}' |
apify call dami_studio/wikidata-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dami_studio/wikidata-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bRBahLIIamB0D0kzB/builds/dxptQHtCeqH2llAnA/openapi.json