Build a full-text dataset of CNN business news

Created by

Filip Cicvárek

Actor

CNN Article Scraper

Collects CNN business articles published in September 2026 from CNN's monthly archive, with the full article text, title, author, publication and update dates and URL. Use the output as a dataset for sentiment analysis, market research or training and testing language models. Change the category and date range to build a dataset for another topic or period.

Try for free

CNN Article Scraperfilip_cicvarek/cnn-article-scraper

Article Title

Author

Published

Updated

+3 fields

Input

News Category(required):business

Start Date(required):2026-09-01

End Date(required):2026-09-30

Category Coverage Mode(required):archive

Maximum Articles:100

Output fields

Article Title

Author

Published

Updated

Content

Article URL

Scraped At

How it works

Sign up on Apify or log in

The CNN Article Scraper Actor is ready to run with the inputs already set for "Build a full-text dataset of CNN business news". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a full-text dataset of CNN business news" task

The CNN Article Scraper Actor will start running based on the input automatically. You can also change all the input fields, like news category, start date, and more, to match your specific use case.

Receive the "Build a full-text dataset of CNN business news" 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 title, author, published, 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 "Build a full-text dataset of CNN business news" task via API.