semvec/pypi-packages huggingface dataset:
raccy 2.0.0
Web Scraping Library Based on Selenium
License: Apache License, Version 2.0
Requires Python: >=3.7

# RACCY

### OVERVIEW
Raccy is a multithreaded web scraping library based on selenium. 
It can be used for web automation, web scraping, and
data mining.

### REQUIREMENTS
- Python 3.7+ 
- Works on Linux, Windows, and Mac

### ARCHITECTURE OVERVIEW
* **UrlDownloaderWorker:** resonsible for downloading item(s) to be scraped urls and enqueue(s) them in ItemUrlQueue

* **ItemUrlQueue:** receives item urls from UrlDownloaderWorker and enqueues them
    for feeding them to CrawlerWorker

* **CrawlerWorker:** fetches item web pages and scrapes or extract data from them and enqueues the data in DatabaseQueue

* **DatabaseQueue:** receives scraped item data from CrawlerWorker(s) and enques them
    for feeding them to DatabaseWorker.

* **DatabaseWorker:** receives scraped data from DatabaseQueue and stores it in a persistent database.

### INSTALL

```shell script
pip install raccy
```

### TUTORIAL

```python
from raccy import (
    UrlDownloaderWorker, CrawlerWorker, DatabaseWorker, WorkersManager
)
import ro as model
from selenium import webdriver
from shutil import which

config = model.Config()
config.DATABASE = model.SQLiteDatabase('quotes.sqlite3')


class Quote(model.Model):
    quote_id = model.PrimaryKeyField()
    quote = model.TextField()
    author = model.CharField(max_length=100)


class UrlDownloader(UrlDownloaderWorker):
    start_url = 'https://quotes.toscrape.com/page/1/'
    max_url_download = 10

    def job(self):
        url = self.driver.current_url
        self.url_queue.put(url)
        self.follow(xpath="//a[contains(text(), 'Next')]", callback=self.job)


class Crawler(CrawlerWorker):

    def parse(self, url):
        self.driver.get(url)
        quotes = self.driver.find_elements_by_xpath("//div[@class='quote']")
        for q in quotes:
            quote = q.find_element_by_xpath(".//span[@class='text']").text
            author = q.find_element_by_xpath(".//span/small").text

            data = {
                'quote': quote,
                'author': author
            }
            self.log.info(data)
            self.db_queue.put(data)


class Db(DatabaseWorker):

    def save(self, data):
        Quote.objects.create(**data)


def get_driver():
    driver_path = which('.\\chromedriver.exe')
    options = webdriver.ChromeOptions()
    options.add_argument('--headless')
    options.add_argument("--start-maximized")
    driver = webdriver.Chrome(executable_path=driver_path, options=options)
    return driver


if __name__ == '__main__':
    manager = WorkersManager()
    manager.add_driver(get_driver)
    manager.start()
    print('Done scraping...........')

```

### Author

* **Afriyie Daniel**

Hope You Enjoy Using It !!!!