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Refresh advanced analysis courses across MIT departments

Rerun a multi-department advanced analysis workflow and export normalized course descriptions, schedules, units, and prerequisites.

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University Course Details Scraper
University Course Details Scraperautomation-lab/university-course-details-extractor
Course code
Title
Units or credits
Schedule
+6 fields
Text
Number
Boolean
List
Object

Input

University catalog or program URLs(required)
url:https://catalog.mit.edu/subjects/6/+1
Maximum courses:20
Maximum catalog pages:2
Course keyword:Lebesgue
Delay between requests (milliseconds):750

Output fields

Course code
Title
Units or credits
Schedule
Prerequisites
Description
Department
University
Course URL
Scraped at

How it works

Sign up on Apify or log in

The University Course Details Scraper Actor is ready to run with the inputs already set for "Refresh advanced analysis courses across MIT departments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Refresh advanced analysis courses across MIT departments" task

The University Course Details Scraper Actor will start running based on the input automatically. You can also change all the input fields, like university catalog or program urls, maximum courses, and more, to match your specific use case.

Receive the "Refresh advanced analysis courses across MIT departments" 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 course code, title, units or credits, 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 "Refresh advanced analysis courses across MIT departments" task via API.

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