PyScrappy: powerful Python data scraping toolkit
What is it?
PyScrappy is a Python package that provides a fast, flexible, and exhaustive way to scrape data from various different sources. Being an easy and intuitive library. It aims to be the fundamental high-level building block for scraping data in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data scraping tool available.
Main Features
Here are just a few of the things that PyScrappy does well:
- Easy scraping of Data available on the internet
- Returns a DataFrame for further analysis and research purposes.
- Automatic Data Scraping: Other than a few user input parameters the whole process of scraping the data is automatic.
- Powerful, flexible
Where to get it
The source code is currently hosted on GitHub at: https://github.com/mldsveda/PyScrappy
Binary installers for the latest released version are available at the Python Package Index (PyPI).
pip install PyScrappy
Dependencies
- selenium - Selenium is a free (open-source) automated testing framework used to validate web applications across different browsers and platforms.
- webdriver-manger - WebDriverManager is an API that allows users to automate the handling of driver executables like chromedriver.exe, geckodriver.exe etc required by Selenium WebDriver API. Now let us see, how can we set path for driver executables for different browsers like Chrome, Firefox etc.
- beautifulsoup4 - Beautiful Soup is a Python library for getting data out of HTML, XML, and other markup languages.
- pandas - Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
License
Getting Help
For usage questions, the best place to go to is StackOverflow. Further, general questions and discussions can also take place on GitHub in this repository.
Discussion and Development
Most development discussions take place on GitHub in this repository.
Also visit the official documentation of PyScrappy for more information.
Contributing to PyScrappy
All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
If you are simply looking to start working with the PyScrappy codebase, navigate to the GitHub "issues" tab and start looking through interesting issues.
End Notes
Learn More about this package on Medium.
This package is solely made for educational and research purposes.
3 maintainers
Metadata
3 maintainers
Release files for pyscrappy 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PyScrappy-0.1.0.tar.gz | 17.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PyScrappy-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.5 kB
Release files / PyScrappy-0.1.0.tar.gz
| Download URL | PyScrappy-0.1.0.tar.gz |
|---|---|
| Size | 17.5 kB |
| Tags | Source |
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Release files / PyScrappy-0.1.0-py3-none-any.whl
| Download URL | PyScrappy-0.1.0-py3-none-any.whl |
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| Size | 25.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
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