Using Scrapeasy: One‑Line Python Web Scraping and Media Download

Scrapeasy is a Python library designed for effortless web scraping and data extraction, allowing users to retrieve webpages, images, videos, PDFs, and other file types with minimal code.

Installation

Install the package via pip:

<code>$ pip install scrapeasy</code>

Basic Usage

Import the necessary classes and create a Website object with the target URL:

<code>from scrapeasy import Website, Page
web = Website("https://tikocash.com/solange/index.php/2022/04/13/how-do-you-control-irrational-fear-and-overthinking/")</code>

Retrieve all subpage links:

<code>links = web.getSubpagesLinks()</code>

Fetch all image URLs from the site:

<code>images = web.getImages()</code>

Download all images to a local folder:

<code>web.download("img", "fahrschule/images")</code>

Obtain domain links or external links as needed:

<code>domains = web.getLinks(intern=False, extern=False, domain=True)
external_links = web.getLinks(intern=False, extern=True, domain=False)</code>

Working with Individual Pages

Create a Page object for a specific URL, such as a video page on W3Schools:

<code>w3 = Page("https://www.w3schools.com/html/html5_video.asp")</code>

Download all videos from that page:

<code>w3.download("video", "w3/videos")
video_links = w3.getVideos()</code>

Download specific file types like PDFs from any page:

<code>Page("http://mathcourses.ch/mat182.html").download("pdf", "mathcourses/pdf-files")</code>

Overall, Scrapeasy provides a concise, high‑level API for web data extraction, making Python a powerful tool for web crawling, data mining, and automation tasks.