---
description: A universal solution for web crawling lists
---

# Overview

[<img src="https://s2.loli.net/2024/04/12/C9tV8wvzUPM7lgb.png" alt="crawlist" data-size="original">](https://github.com/WwwwwyDev/crawlist)

## crawlist

A universal solution for web crawling lists

[<img src="https://img.shields.io/pypi/v/crawlist" alt="pypi" data-size="line"> ](https://pypi.python.org/pypi/crawlist)<img src="https://img.shields.io/badge/python-3.10.0+-blue" alt="python" data-size="line">

{% embed url="https://github.com/WwwwwyDev/crawlist" %}

### 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.

```python
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.

```python
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()

```
