Getting Started with Playwright Web Scraping

steps

1. Create a new project folder and activate a virtual environment.

2. Install Playwright using pip install playwright.

3. Install browser binaries with python3 -m playwright install.

4. Create a Python script file (scraper.py) with the following code:

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   from playwright.sync_api import sync_playwright
   
   with sync_playwright() as p:
       browser = p.chromium.launch()
       page = browser.new_page()
       page.goto('https://example.com')
       print(page.title())  # Output the page title
       browser.close()

5. Run the script to verify the setup:

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   python scraper.py
   # Example output: Example Domain

steps

1. Create a routing function within your script:

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   def intercept_requests(route):
       if route.request.resource_type in ['image', 'stylesheet', 'font']:
           route.abort()
       else:
           route.continue_()

2. Apply the interception handler to your page:

   pythonCopy

   from playwright.sync_api import sync_playwright
   
   def intercept_requests(route):
       if route.request.resource_type in ['image', 'stylesheet', 'font']:
           route.abort()
       else:
           route.continue_()
   
   with sync_playwright() as p:
       browser = p.chromium.launch()
       page = browser.new_page()
       page.route('**/*', intercept_requests)
       page.goto('https://example.com')
       print(page.title())  # Verify functionality
       browser.close()

3. Execute your script for faster scraping results.

steps

1. Install Pandas for data manipulation:

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   pip install pandas

2. Use the following example to load data into a Pandas DataFrame and export it:

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   import pandas as pd
   
   data = [{'title': 'Example Product', 'price': '10.99'}]
   
   df = pd.DataFrame(data)
   df.to_csv('output.csv', index=False)  # Export to CSV
   df.to_json('output.json', orient='records')  # Export to JSON
   print(df)

3. Check your output files (output.csv and output.json) for the exported results.