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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.
Wikipedia Scraper — Articles, Summaries & Viewsponderable_hydrometer/wikipedia-scraper
Title
Page Id
Word Count
Snippet
+8 fieldsTextNumberBooleanListObject
Input
Search query:large language model
Include summary:true
Max results:100
Output fields
Title
Page Id
Word Count
Snippet
Last Edit
Url
Description
Extract
Thumbnail
Coordinates
Lang
Pageviews
Sign up on Apify01
Create your Apify account to access the Wikipedia Scraper — Articles, Summaries & Views.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
