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Bitcoin & Crypto Retail Interest — Daily Wikipedia Pageviews

Returns 90 rows: daily Wikipedia pageviews for Bitcoin, Ethereum and Dogecoin across 30 days of July 2026. Each row is a flat record with article, date, views and project, so you can chart retail curiosity per coin and compare majors against a pure-retail name like Dogecoin. Wikipedia traffic spikes when newcomers look a coin up, which makes it a free, key-less stand-in for retail search interest.

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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):Bitcoin+2
From date:2026-07-01
To date:2026-07-30

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 "Bitcoin & Crypto Retail Interest — Daily Wikipedia Pageviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Bitcoin & Crypto Retail Interest — Daily Wikipedia 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 "Bitcoin & Crypto Retail Interest — Daily Wikipedia 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 "Bitcoin & Crypto Retail Interest — Daily Wikipedia Pageviews" task via API.

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