Indexing 100+ course platforms using Class Central metadata

Описание и применение

Использование Class Central Scraper упрощает сбор унифицированных метаданных курсов с более чем 100 платформ, устраняя необходимость отдельных парсеров.

Задача

Building a unified catalog of online courses requires separate scrapers for each platform, which break when platforms change their DOM or deployment pipelines.

Результат

Using the Class Central Scraper Actor eliminates the need for platform‑specific scrapers, providing a unified, normalized dataset of course metadata and detailed information with minimal execution overhead.

Рабочий процесс

• Configure Apify client and install apify-client via pip
• Create run_input JSON with desired mode and filters (e.g., search, bySubject, courseDetail)
• Call the Class Central Scraper Actor using client.actor(...).call(run_input=run_input)
• Retrieve dataset items from the returned dataset ID
• Iterate over items to consume or store the standardized course records

Доказательства

Class Central functions as a course meta-search engine, aggregating listings from over 100 course providers into standardized pages.

Источник

The Actor supports six execution modes set via the mode parameter: search, bySubject, byProvider, byUniversity, collection, and courseDetail.

Источник

pip install apify-client

Источник