Which Are the Top 5 Python Libraries Used for Web Scraping?

3 mn read

Python is a widely-used programming language for Web scraping and data mining. There are several libraries and precise web scraping tools which are listed below:

Web scraping API provides the benefits of the majority of these libraries, and some of these libraries can be used together

The Major 5 Python Libraries for Web Scraping

1. Request

Request

For most Python developers, this module is necessary for extracting raw HTML data from web resources.

Simply use the following PyPI command in your command line or Terminal to install the library:

pip install requests

The installation can be checked using REPL:

>>> import requests
>>> r = requests.get('https://api.github.com/repos/psf/requests')
>>> r.json()["description"]
    'A simple, yet elegant HTTP library.'

2. LXML

LXML

When it comes to HTML rapidity and parsing, there’s a wonderful library called LXML which is to be considered. LXML is a true companion when it comes to HTML speed and XML parsing for data scraping, therefore LXML-based software is used to scrape pages that change very often such as gambling sites providing odds during live events.LXML Toolkit is a powerful instrument with a lot of features available in it.

Simply use the following PyPI command in your command line or Terminal to install the library:

3. BeautifulSoup

BeautifulSoup

The BeautifulSoup4 module is used in mostly 80% of all Python data Scraping tutorials on the Internet as a basic tool for handling recovers. attributes, the DOM tree, Selectors, and others are all covered. The ideal solution for converting code to and from Cheerio Javascript or jQuery.

Simply use the following PyPI command in your command line or Terminal to install this library:

pip install beautifulsoup4

4. Selenium

Selenium

Selenium is a widely used Web Driver, including wrappers for almost all programming languages. automation specialists, Quality assurance engineers, data scientists, and developers, have all used this ideal tool at some point. There are no additional libraries required for Web Scraping because any activity may be performed with a browser like a real user: form filling, page opening, button clicks, resolving Captcha, and much more.

Simply use the following PyPI command in your command line or Terminal to install this library:

pip install selenium

The following code shows how to get started with Selenium Web Crawling:

from selenium import webdriver
from selenium.webdriver.common.keys import Keys

driver = webdriver.Firefox()
driver.get("http://www.python.org")
assert "Python" in driver.title
elem = driver.find_element_by_name("q")
elem.send_keys("pycon")
elem.send_keys(Keys.RETURN)
assert "No results found." not in driver.page_source
driver.close()

5. Scrapy:

Scrapy

Scrapy is the best Web scraping framework available, and it was created by an organization with a team having extensive scraping experience. The software can be built on top of the library where scrapers, Crawlers, and data extractors, or all 3 can stay together.

Simply use the following PyPI command in your command line or Terminal to install this library:

pip install scrapy

Conclusion

These were the top 5 Python libraries from which the use of the particular library will entirely depend on the task that you are performing.

Need to learn more about Python libraries and web scraping services? Contact 3i Data Scraping now!

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