Monitor Healthline article updates and review attribution

Created by

Automation Lab

Actor

Healthline Articles Scraper

Run a repeatable two-article Healthline dataset workflow and compare modified dates, medical reviewers, citations, and SHA-256 content hashes.

Try for free

Healthline Articles Scraperautomation-lab/healthline-health-article-dataset

Title

Canonical URL

Authors

Medically reviewed by

+7 fields

Input

Healthline article URLs(required)

url:https://www.healthline.com/nutrition/10-health-benefits-of-apples+1

Maximum articles:2

Output fields

Title

Canonical URL

Authors

Medically reviewed by

Published

Modified

Last reviewed

Keywords

Word count

Content hash

Scraped at

How it works

Sign up on Apify or log in

The Healthline Articles Scraper Actor is ready to run with the inputs already set for "Monitor Healthline article updates and review attribution". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Monitor Healthline article updates and review attribution" task

The Healthline Articles Scraper Actor will start running based on the input automatically. You can also change all the input fields, like healthline article urls and maximum articles, to match your specific use case.

Receive the "Monitor Healthline article updates and review attribution" 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, canonical url, authors, and more.