easylenium 1.0.0

A powerful web scraping tool for automating data extraction

easylenium

A powerful web scraping tool for automating data extraction from websites using Selenium.

Features

• Built on Selenium focusing on web scraping
• Reduce boilerplate and increase development speed
• Easily navigate web pages and interact with elements.
• Retrieve data from web pages using XPath or CSS selectors.
• Handle common scenarios like timeouts and missing elements.
• Support for multiple web browsers (Chrome, Firefox, Edge).
• Customizable options for handling downloads, prompts, and PDF files.

Installation

You can install easylenium using pip:

pip install easylenium

Make sure you have Python 3.7 or above installed.

Usage

from easylenium import (Scraper, create_chromedriver Location, By, save_to_json, handle)

# Create a scraper instance
driver = create_chromedriver("path/to/default/download/directory")
scraper = Scraper(driver)

# Open a web page
scraper.open_('https://example.com')

# Fill out form
example_textfield = scraper.get_element(Location(By.ID, "username_field"))
scraper.click_(example_textfield).send_keys("my_username")

# Interact with buttons
continue_button = scraper.get_element(Location(By.XPATH, "xpath/to/button"))
scraper.click_(continue_button)

# Find and retrieve elements
elements = scraper.get_elements(Location(By.CLASS_NAME, "bookItemTitle"))

# Write custom helper classes/functions
# (fully interactable with the python 'Selenium' package)
from selenium.webdriver.remote.webelement import WebElement
from selenium.common.exceptions import NoSuchElementException

@handle(NoSuchElementException)
def extract_url_from_(element: WebElement) -> str:
    return element.find_element(By.CLASS_NAME, 'a').get_attribute("href")

# Interact with elements, with optional handling of Exceptions
urls = scraper.iterate_(elements, extract_url_from_)

# Save data as json
save_to_json(urls, "path/to/save.json")

# Close the web scraper
scraper.terminate()

For more details and advanced usage examples, please refer to the documentation.

Documentation

The complete documentation for easylenium can be found at (tbd).

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the GitHub repository (https://github.com/hubertus444/easylenium).

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Additional Info

The easylenium package provides a convenient and efficient way to perform web scraping and automate data extraction from websites. It is built on top of the Selenium library, leveraging its capabilities to interact with web pages and extract desired data. With easylenium, you can easily navigate web pages, interact with elements, retrieve data, and handle common scenarios such as timeouts and missing elements. The package offers a high-level interface for common web scraping tasks, allowing you to focus on the data extraction process rather than the intricacies of web automation. Whether you need to scrape data for research, data analysis, or other purposes, easylenium simplifies the process and provides a reliable solution. It supports various web browsers, including Chrome, Firefox, and Edge, and provides customizable options for handling downloads, prompts, and PDF files. Empower your data extraction workflow with easylenium and unlock the potential of web scraping in Python.