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Creates a simple Selenium Webdriver, optimized for web scraping.

Project description

Selenium Crawler

A simple, opinionated Selenium WebDriver setup optimized for web scraping with Chrome. Designed for quick, lightweight data extraction, especially in Dockerized environments.

Features

  • Chrome WebDriver configuration for scraping
  • Headless mode and image loading control
  • Optimizations for Docker, Windows, Linux, and MacOS
  • Utilities for element selection and waiting

Requirements

  • Google Chrome browser
  • ChromeDriver (compatible with your Chrome version)

Usage

Import and use the WebDriver creator and scraping tools in your scripts:

from selenium_crawler.webdrivercreator import create_webdriver
from selenium_crawler.scraping_tools import get_element
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException

driver = create_webdriver(headless=True)
try:
    driver.get('https://example.com')
    element = get_element(driver, (By.XPATH, '//h1'), timeout=10)
    print(element.text)
except TimeoutException:
    print('Element not found within the timeout period.')
finally:
    driver.quit()

Testing

Run all tests with:

make test

Or manually:

python -m unittest discover -s tests -v

Notes

  • This project is not intended to bypass all bot detection mechanisms.
  • Focuses on ease of use and quick setup for scraping tasks.
  • For advanced anti-bot evasion, consider additional tools or services.

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