Gist 58c79c81e9a950a0cdafc7d2d0275742

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Gist 58c79c81e9a950a0cdafc7d2d0275742

✓ Published0🌍 Public

Last edited Dec 27, 2021

Created on Dec 27, 2021

This example shows a dynamic, browser-automated web-scraping workflow that captures rendered page content. It uses Selenium’s `webdriver` to launch a Chrome browser, wait for elements via `WebDriverWait` and `expected_conditions`, and then extracts page HTML with BeautifulSoup. The script programmatically sends keyboard inputs via `Keys`, and also employs the `requests` library for direct HTTP calls. It parses the returned data with `json`, timestamps actions with `datetime`, and structures results into a pandas DataFrame. The process includes randomized delays (`random` and `time`) to mimic human browsing behavior, though no explicit visualization or rendering library is used beyond the raw captured markup.

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