Python Library for HTML Parsing & Web Scraping
The web is an ocean of information, and as software developers, we often find ourselves in need of extracting specific data from websites. Web scraping is a powerful technique that allows us to automate the process of gathering data from web pages. Among the many libraries available, Requests-HTML stands out as a versatile and user-friendly option. It is a Python library that enables web scraping by combining the power of two popular libraries - Requests and BeautifulSoup. It was designed with simplicity and ease of use in mind, making it an excellent choice for both beginners and experienced developers alike.
The Requests-HTML library provides an intuitive API that is designed to feel similar to the well-known Requests library, making it easy to pick up for anyone familiar with HTTP requests. There are several important features part of the library, such as parsing large HTML files, CSS selectors support, XPath selectors support, mocked user-agent, automatic redirects following, grab a list of all links on the page, grab an element's text contents, search for links within an element, maintaining session persistence, easy user-agent rotation and many more.
At A Glance
An overview of Requests-HTML features.
- Web Scrapping
- Extract Web Pages
- Extract Images
- Automatic redirects
- Extract Text
- Unicode support
- Extract Publication Date
- Languages Detection
- Video extraction
- Parse Large HTML Files
- HTML rendering
- HTML Viewer
- HTML to PDF
Requests-HTML supports HTML file format as well as industry-standard formats for export.
Requests-HTML is tested with Python 2.6 and higher.
- Python 2.6 and higher.
Getting Started with Requests-HTML
The recommended and easiest way to install Requests-HTML is using pip. Please use the following command a smooth installation.
Install Requests-HTML via pip
pip install requests-html
You can also install it manually; download the latest release files directly from GitHub repository.
Extract Contents from an HTML Page via Python
The open source Requests-HTML library allows software developers to load and extract contents from an HTML file inside Ptyhon applications. One of the core features that sets the library apart is its seamless integration with PyQuery. This integration enables the library to effortlessly parse HTML documents and extract data using jQuery-like selectors. This flexibility simplifies data extraction and saves developers time and effort. The following examples shows how software developers can extract the titles and links of a web page with just a couple of lines of Python code.
How to Extract the Titles and Links of a Web Page via Python API?
Parse a Web Page & Extract a Particle Element via Python
The open source Requests-HTML library has provided a very useful feature for extracting a specific element inside an HTML document via Python API. The library supports both CSS selectors and XPath expressions, giving you flexibility in selecting and extracting specific elements from the HTML page. The library also supports the use of XPath expressions for more complex element selection. The library also provide complete support for interacting with web forms as well. The following example shows how straightforward it is to scrape a web page using Requests-HTML library.
How to Extract a Particular Element of HTMP Page via Python Library?