crawlist

A universal solution for web crawling lists

GitHub - WwwwwyDev/crawlist: A universal solution for web crawling listsGitHub

introduction

You can use Crawlist to crawl websites containing lists, and with some simple configurations, you can obtain all the list data.

installing

You can use pip or pip3 to install the crawlist

pip install crawlist or pip3 install crawlist

If you have already installed crawlist, you may need to update to the latest version

pip install --upgrade crawlist

quickly start

This is a static website demo. It does not use the JavaScript to load the data.

import crawlist as cl

if __name__ == '__main__':
    # Initialize a pager to implement page flipping 
    pager = cl.StaticRedirectPager(uri="https://www.douban.com/doulist/893264/?start=0&sort=seq&playable=0&sub_type=",
                                   uri_split="https://www.douban.com/doulist/893264/?start=%v&sort=seq&playable=0&sub_type=",
                                   start=0,
                                   offset=25) 
    
    # Initialize a selector to select the list element
    selector = cl.CssSelector(pattern=".doulist-item")
    
    # Initialize an analyzer to achieve linkage between pagers and selectors
    analyzer = cl.AnalyzerPrettify(pager, selector)
    res = []
    limit = 100
    # Iterating a certain number of results from the analyzer
    for tr in analyzer(limit): 
        print(tr)
        res.append(tr)
    # If all the data has been collected, the length of the result will be less than the limit
    print(len(res))

This is a dynamic website demo. It uses the JavaScript to load the data.So we need to load a selenium webdriver to drive the JavaScript.

import crawlist as cl

if __name__ == '__main__':
    # Initialize a pager to implement page flipping 
    pager = cl.DynamicScrollPager(uri="https://ec.ltn.com.tw/list/international")
    
    # Initialize a selector to select the list element
    selector = cl.CssSelector(pattern="#ec > div.content > section > div.whitecon.boxTitle.boxText > ul > li")
    
    # Initialize an analyzer to achieve linkage between pagers and selectors
    analyzer = cl.AnalyzerPrettify(pager=pager, selector=selector)
    res = []
    
    # Iterating a certain number of results from the analyzer
    limit = 100
    for tr in analyzer(limit):
        print(tr)
        res.append(tr)
    print(len(res))
    # After completion, you need to close the webdriver, otherwise it will occupy your memory resources
    pager.webdriver.quit()