Metadata-Version: 2.1
Name: scrapista
Version: 0.0.5
Summary: Scrape most popular websites easily
Home-page: https://github.com/alpnix/scrapista
Author: Alp Niksarlı
Author-email: alp.niksarli@gmail.com
License: MIT
Description: 
        # Scrapista
        Scrapista helps with scraping datasets from some of the most popular websites such as Wikipedia, Amazon, etc.
        
        
        ## Installation
        ---
        <!-- Github Markdown -->
        ```
        $ python -m pip install scrapista
        ```
        
        ## Getting started to use the Amazon scraper: 
        ```python 
        from scrapista import AmazonScraper
        
        # sample headers
        headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36"}
        
        base_url = "https://www.amazon.de"
        
        scraper = AmazonScraper(headers,base_url)
        data_list = scraper.scrape_keywords(["pencil","couch"])
        
        print(len(data_list)) # 120
        ```
        
        
Keywords: python,scrape,amazon,wikipedia,web,data mining,web scraping
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
