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Flu Season Health Interest — Influenza & Measles Pageviews

Returns 93 rows of daily pageviews for Influenza, Common cold and Measles across January 2026, the heart of the northern-hemisphere respiratory season. Wikipedia health-article traffic is a long-standing nowcasting input because people look up symptoms days before any case count is published, and outbreak coverage shows up as a clear jump. Fields are article, date, views and project, ready to join

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Wikipedia Pageviews Scraper - Article Traffic
Wikipedia Pageviews Scraper - Article Trafficpepeschuster/wikipedia-pageviews-api
Article
Date
Views
Text
Number
Boolean
List
Object

Input

Article titles(required):Influenza+2
From date:2026-01-01
To date:2026-01-31

Output fields

Article
Date
Views

How it works

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The Wikipedia Pageviews Scraper - Article Traffic Actor is ready to run with the inputs already set for "Flu Season Health Interest — Influenza & Measles Pageviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Flu Season Health Interest — Influenza & Measles Pageviews" task

The Wikipedia Pageviews Scraper - Article Traffic Actor will start running based on the input automatically. You can also change all the input fields, like article titles, from date, and more, to match your specific use case.

Receive the "Flu Season Health Interest — Influenza & Measles Pageviews" 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 article, date, and views.

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 "Flu Season Health Interest — Influenza & Measles Pageviews" task via API.

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