library for wikipedia text dataset collection
pip install wiker
!Warning!
Before running the code, create "data" and "extra" folders inside the project folder and "pre_urls.txt" and "post_urls.txt" files inside the "extra" folder
File structure
my-app/
├─ data/
├─ extra/
│ ├─ pre_urls.txt
│ ├─ post_urls.txt
├─ main.py # your file
from wiker import Wiker
wk = Wiker(lang='uz', first_article_link="Turkiston")
wk.run(scrape_limit=50)from wiker import Wiker
wk = Wiker(lang='uz', first_article_link="Turkiston")
wk.reader() # read the pre_urls.txt file and return the result as a list
wk.read_url_count() # The number of all links that read the pre_urls.txt file
wk.extra_file_writer() # if the pre_urls.txt file is empty, the function writes first_article_link to the file
wk.scraper() # Get all articles from links in pre_urls.txt file
wk.text_cleaner() # clean up the html and other tags in the retrieved articles
wk.next_urls() # get links for further scraping
wk.dir_scanner() # scan the "data" folder to count files
wk.cleaned_text_writer(text_dict=wk.text_cleaner()) #
wk.post_url_writer(url_list=wk.scraper().keys()) # writing the name of the saved articles to the file
wk.pre_url_writer(url_list=wk.next_urls()) # write names in next_urls to files for next process