ds-python-up / _data /environment_scraper.yml
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Datasets del curso DS-Python UP 2026-II (part 2)
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# Conda environment name
name: selenium_env
# Channels for package download
channels:
- defaults
- conda-forge
# Dependencies
dependencies:
- python>=3.8
- selenium==4.23.1
- beautifulsoup4
- requests
- webdriver-manager
- lxml
- html5lib
- pandas
# Instructions:
# 1. Save this file as 'environment.yml'.
# 2. In the terminal, navigate to the directory where the file is saved.
# 3. Run: conda env create -f environment.yml
# 4. Activate the environment: conda activate selenium_env
# Check available environments: conda info --envs
# Activate/Deactivate an environment: conda activate / conda deactivate
# Remove an environment: conda env remove -n environment_name
# Note: Webdriver_manager automates driver management for Selenium.
# Example usage of Selenium:
# from selenium import webdriver
# from selenium.webdriver.chrome.service import Service
# from selenium.webdriver.chrome.options import Options
# from webdriver_manager.chrome import ChromeDriverManager
# # Set up Chrome options (optional)
# chrome_options = Options()
# chrome_options.add_argument("--headless") # Run headless (optional)
# # Create a WebDriver instance
# driver = webdriver.Chrome(service=Service(ChromeDriverManager().install()), options=chrome_options)
# # Open a webpage
# driver.get("https://example.com")
# # Print the title of the webpage
# print(driver.title)
# # Close the browser
# driver.quit()