Skip to main content

Langara Course Information Aggregator

Project description

LangaraCourseInfo

This project collects course and transfer information from Langara College, Vancouver, into an SQLite database.

Once built, the database weighs around 15 MB for all data (~250 MB with source HTML/PDFs), which should be lightweight enough for most uses.

The transfer agreement scraper currently takes an excruciating amount of time - approximately an hour - this will be improved with multithreading in the future.

Collected Data

  • Course Information: course description & other attributes
  • Course Offerings: dating from 1999 - present.
  • Transfer Information: only active transfer agreements are collected.

Table Definitions

  • TransferInformation(subject, course_code, source, destination, credit, effective_start, effective_end)

  • CourseInfo(subject, course_code, credits, title, description, lecture_hours, seminar_hours, lab_hours, AR, SC, HUM, LSC, SCI, SOC, UT)

  • Sections(year, term, seats, waitlist, subject, course_code, crn, credits, additional_fees, repeat_limit)

  • Schedules(year, term, crn, type, days,, time, start_date, end_date, room, instructor)

  • SemesterHTML(year, term, sectionHTML, catalogueHTML, attributeHTML)

  • TransferPDF(subject, pdf)

Stack

  • SQLite
  • Selenium
  • Beautifulsoup

Build

  • python -m build Build the package.
  • twine upload -r pypi dist/* Upload the package to pypi.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

LangaraCourseInfo-2.0.0.tar.gz (7.5 MB view hashes)

Uploaded Source

Built Distribution

LangaraCourseInfo-2.0.0-py3-none-any.whl (26.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page