memrise 1.1.0

Scaping MEM course infomation

Library Scraping Vocabulary Languages

Features:

• Support scraping the courses in MEM to take the vocabulary
• Support scraping IPA of English Language (US and UK)
• Support translate to your mother language

Appplication Requires

Install SQLite3 : SQLite

Install Library:

Window

 python -m pip install memrise

Linux

pip install memrise

macOS

sudo pip3 install mateco

Guidelines

How to take Course ID?

Access the Website: Memrise and copy the Course ID as the following picture:

Import library and initialize database

from memrise import Course,Database
#Create file database output
db = Database('English.sqlite') #Other format is .db
#Connect to file database and init
db.connect()
db.init()

Scraping course with ID

#Connect the course to scraping info this maybe take a few momment.
course = Course(1658724,2)
#Update information about the course
course.update(db)
#Get all levels in course & scraping all levels information
levels = course.get_levels()
for level in levels:
    level.update(db)

Update course with your language meaning

Use the method update_db_en() if the LANGUAGE COURSE is English for scraping IPA.
Use the method update_db() if the Language Course is the others.
About the parameters of two above methods are the same:

• CourseID : the ID of the course
• Language : your mother language with format 'en', 'fr', 'ko', 'vi'...

#If your Course is English language use `update_db_en()`, otherwise use `update_db()` method.
db.update_db_en(1658724,'fr')

Check the output with SQLite

File output

Show the words table as the following steps: Browse Data > Table > Word

If you want to choose the raw meaning, you could run the following SQL statement.

SELECT word, sub, IPA FROM words

Steps : Execute SQL > Typing SQL Statements > Run

Github