When scraping websites like Immowelt that rely on JavaScript to load content dynamically, traditional HTTP requests (like those made with Python's requests
library) will not be enough because they do not process JavaScript. Instead, you will need to use tools that can interact with a JavaScript environment.
Here are some methods you can use to handle JavaScript-loaded content in Immowelt for web scraping:
1. Selenium
Selenium is a tool that automates browsers. You can use it with a webdriver to control a real browser and scrape content after JavaScript has been executed.
Python Example with Selenium:
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
# Setup Selenium with ChromeDriver
service = Service(ChromeDriverManager().install())
driver = webdriver.Chrome(service=service)
# Navigate to the page
driver.get("https://www.immowelt.de/")
# Wait for JavaScript to execute (you may need to add explicit waits)
driver.implicitly_wait(10)
# Now you can select elements as you would after the JS is fully loaded
element = driver.find_element(By.CSS_SELECTOR, 'your-css-selector-here')
# Don't forget to quit the driver
driver.quit()
2. Puppeteer
Puppeteer is a Node library which provides a high-level API over the Chrome DevTools Protocol. Puppeteer runs headless by default but can be configured to run full (non-headless) Chrome or Chromium.
JavaScript Example with Puppeteer:
const puppeteer = require('puppeteer');
(async () => {
const browser = await puppeteer.launch();
const page = await browser.newPage();
await page.goto('https://www.immowelt.de/');
// Wait for the selector to appear in the page
await page.waitForSelector('your-css-selector-here');
// Execute JavaScript code in the context of the page
const elementContent = await page.evaluate(() => {
const element = document.querySelector('your-css-selector-here');
return element.textContent; // or any other property you are interested in
});
console.log(elementContent);
await browser.close();
})();
3. Pyppeteer
Pyppeteer is a Python port of puppeteer JavaScript (Node.js) library, which can be used to control headless Chrome.
Python Example with Pyppeteer:
import asyncio
from pyppeteer import launch
async def scrape():
browser = await launch()
page = await browser.newPage()
await page.goto('https://www.immowelt.de/')
# Wait for the selector to appear in the page
await page.waitForSelector('your-css-selector-here')
# Get text content of the element
element_content = await page.evaluate('(element) => element.textContent',
await page.querySelector('your-css-selector-here'))
print(element_content)
await browser.close()
asyncio.get_event_loop().run_until_complete(scrape())
4. Requests-HTML
Requests-HTML is an HTML parsing library that integrates with Python's requests library and can parse and render JavaScript.
Python Example with Requests-HTML:
from requests_html import HTMLSession
session = HTMLSession()
response = session.get('https://www.immowelt.de/')
# Execute JavaScript
response.html.render()
# Select the element after JS execution
element = response.html.find('your-css-selector-here', first=True)
print(element.text)
Important Considerations:
- Make sure to respect the website's
robots.txt
file and terms of service. - Web scraping can be resource-intensive for the target website; use it responsibly.
- Websites may change their structure, so scrapers may require maintenance.
- Some websites employ anti-scraping measures; be aware that frequent scraping requests might lead to your IP being blocked.
When using these tools, you typically use the same selectors you would if you were writing JavaScript to interact with the page in the browser. These selectors can be CSS selectors, XPath selectors, or any other means provided by the scraping library to locate and interact with the DOM elements after they have been loaded and manipulated by JavaScript.