Metadata-Version: 2.1
Name: scrapera
Version: 1.0.3
Summary: A universal package of scraper scripts
Home-page: https://github.com/DarshanDeshpande/Scrapera
Author: Darshan Deshpande
Author-email: darshan1504@gmail.com
License: MIT
Description: 
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            <li>
              <a href="#about-the-project">About The Project</a>
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            <li>
              <a href="#getting-started">Getting Started</a>
              <ul>
                <li><a href="#prerequisites">Prerequisites</a></li>
                <li><a href="#installation">Installation</a></li>
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            <li><a href="#usage">Usage</a></li>
            <li><a href="#roadmap">Roadmap</a></li>
            <li><a href="#contributing">Contributing</a></li>
            <li><a href="#license">License</a></li>
            <li><a href="#contact">Contact</a></li>
            <li><a href="#acknowledgements">Acknowledgements</a></li>
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        ## About The Project
        
        Scrapera provides access to a variety of scraper scripts for most commonly used machine learning and data science domains, mainly consisting of scrapers for 
        <li>Images</li>
        <li>Text</li>
        <li>Audio</li>
        <li>Videos</li>
        <br>
        This main aim of this package is to cluster common scraping tasks so as to make it more convenient for ML researchers and engineers to focus on their models rather than worrying about the data collection process 
        <br><br/>
        
        >DISCLAIMER: Owner or Contributors do not take any responsibility for misuse of data obtained through Scrapera. Contact the owner if copyright terms are violated due to any module provided by Scrapera.  
        
        ## Prerequisites
        
        All prerequisites can be installed separately through the `requirements.txt` file as below
        
        ```sh
        pip install -r requirements.txt
        ```
         
        ## Installation
        
        Scrapera is built with Python 3 and can be `pip` installed directly
        
        ```sh
        pip install scrapera
        ```
        
        
        Alternatively, if you wish to install the latest version directly through GitHub then run
        ```sh
        pip install git+https://github.com/DarshanDeshpande/Scrapera.git
        ```
        
        
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        ## Usage
        
        To use any sub-module, you just need to import, instantiate and execute
        ```python
        from Scrapera.Video import VimeoScraper
        scraper = VimeoScraper(out_path='path/to/output/directory')
        scraper.scrape(url='https://vimeo.com/191955190', quality='720p')
        ```
        
        _For more examples, please refer to the individual test folders in respective modules_
        
        
        
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        ## Roadmap
        
        <summary>Known issues</summary>
        <ul>
            Instagram Comments Scraper needs updation due to GraphQL changes
        </ul>
        
        
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        ## Contributing
        
        Scrapera welcomes any and all contributions and scraper requests. Feel free to fork the repository and add your own scrapers to help the community!
        
        
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        ## License
        
        Distributed under the MIT License. See `LICENSE` for more information.
        
        
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        ## Contact
        Feel free to reach out for any issues or requests related to Scrapera
        
        Darshan Deshpande (Owner) - [Email](https://mail.google.com/mail/u/0/?view=cm&fs=1&to=darshan1504@gmail.com&tf=1) | [LinkedIn](https://www.linkedin.com/in/darshan-deshpande/)
        
        
        
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        ## Acknowledgements
        * <a href="https://github.com/pytube/pytube"> PyTube </a>
        
        
        
        
        
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        [license-url]: https://github.com/DarshanDeshpande/Scrapera/blob/master/LICENSE.txt
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Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
