Go to example tasks

Wikidata Qid Resolution

Resolve exact Wikidata Q-ids like Q42, Q95, Q312 and Q1299 into structured rows: label, description, instance-of, country, website and Wikipedia URL.

Try for free
Wikidata Scraper - Knowledge Graph Entity Data
Wikidata Scraper - Knowledge Graph Entity Datascrapesage/wikidata-scraper
Q-id
Label
Description
Instance of
+3 fields
Text
Number
Boolean
List
Object

Input

Wikidata Q-ids (exact lookup):Q42+3

Output fields

Q-id
Label
Description
Instance of
Country
Website
Wikipedia

How it works

Sign up on Apify or log in

The Wikidata Scraper - Knowledge Graph Entity Data Actor is ready to run with the inputs already set for "Wikidata Qid Resolution". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Wikidata Qid Resolution" task

The Wikidata Scraper - Knowledge Graph Entity Data Actor will start running based on the input automatically. You can also change all the input fields, like wikidata q-ids (exact lookup), to match your specific use case.

Receive the "Wikidata Qid Resolution" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as q-id, label, description, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Wikidata Qid Resolution" task via API.

Image

Integrate "Wikidata Qid Resolution" into your workflow

Connect "Wikidata Qid Resolution" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay