Enriched topic search
A preconfigured run of Wikipedia Scraper — Articles, Summaries & Views: Enriched topic search. Input — query: large language model · includeSummary: true · maxResults: 100. Results are returned as JSON rows in the default dataset; run it as-is or change the input and run your own.
Input
Output fields
Sign up on Apify or log in
The Wikipedia Scraper — Articles, Summaries & Views Actor is ready to run with the inputs already set for "Enriched topic search". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Enriched topic search" task
The Wikipedia Scraper — Articles, Summaries & Views Actor will start running based on the input automatically. You can also change all the input fields, like search query, include summary, and more, to match your specific use case.
Receive the "Enriched topic search" 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 title, page id, word count, 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 "Enriched topic search" task via API.
