Wikidata Scraper — example run
Ready-to-run Wikidata Scraper. Scrape Wikidata entities: labels, descriptions, aliases and every property claim with qualifiers, in any language. The…
Input
Output fields
Sign up on Apify or log in
The Wikidata Scraper: Structured Entity Facts & Claims Actor is ready to run with the inputs already set for "Wikidata Scraper — example run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Wikidata Scraper — example run" task
The Wikidata Scraper: Structured Entity Facts & Claims Actor will start running based on the input automatically. You can also change all the input fields, like entity ids, languages, and more, to match your specific use case.
Receive the "Wikidata Scraper — example run" 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 entity 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 Scraper — example run" task via API.
