Top Web Scraping Frameworks and Libraries in Python

Web Scraping and Crawling Frameworks and Libraries in Python.

Hello readers, Web Scraping is generally known as extracting or getting the data from web
sources or websites. Here is the list of few frameworks for web scraping using Python.

  1. Scrapy:

    Scarpy is an open source and collaborative framework for collecting data from websites

    • It allows users to collect the data fast and simple way. It follows the simple Structure to extract the data.
    • It is fast and powerful for example just need to write the rules to extract data and rest leave to Scrapy.
    • It is easily Extensible by design, allows to add new functionalities without making changes in the core files.
    • It is portable because, Scrapy is written in Pure Python and run on different platforms like Windows, Linux, Mac and BSD
    • It also has a wide range of built-in extensions and middlewares for handling the things. Few are like cookies and session handling, user-agent spoofing.

    Works Fine with 2.7 and 3.4+ versions
    Version: Scrapy 1.5
    Installation: pip install Scrapy
    Please click here for a tutorial

  2. Mechanical Soup:

    Mechanical Soup is a Python library for automating interaction with websites

    • MechanicalSoup automatically stores and sends cookies, follows redirects, and can follow links and submit forms without using Javascript.
    • MechanicalSoup is designed to simulate the behavior of a human using a web browser.
    • If the website provides a web service API (e.g. REST), then you should use this API and you don’t need MechanicalSoup.

    Works fine with 2.7 and 3.4+
    Version: MechanicalSoup 0.10.0
    Installation: pip install MechanicalSoup
    Please click here to download from git.
    Please click here for a tutorial

  3. Pyspider:

    Pyspider is a powerful Web Crawler, and its written in Python.

    • Allows creating your spider to extract the data from websites.
    • It supports CSS, JavaScript, and AJAX websites. And also handles the heavy load from websites.
    • Powerful WebUI with script editor, the task monitor, project manager and result viewer
    • Pyspider provides Powerful WebUI with script editor, the task monitor, project manager and result viewer
    • It also works with backend databases and store the data and supports MySQL, MongoDB, Redis, SQLite, Elasticsearch; PostgreSQL.
    • Pyspider is distributed architecture and Crawl Javascript pages efficiently.

    Works fine with 2.7 and 3.4+
    Version: pyspider 0.3.10 or 0.4.0
    Installation: pip install pyspider
    Please click here for a latest tutorial
    Please click here for a tutorial

  4. Beautiful Soup:

    Beautiful Soup is a Python library for pulling data out of HTML and XML files.

    • It works with your favorite parser to provide idiomatic ways of navigating, searching and modifying the parse tree.
    • The advantage of beautiful soup is, it commonly saves programmers hours or days of work.

    Works fine with 2.7 and 3.4+
    Version: Beautiful Soup 4.4.0
    Installation: pip install BeautifulSoup4
    Please click here for a tutorial

Top Web Scraping Frameworks and Libraries in Python
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