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Use ScrapeUnblocker with Python

The official Python SDK wraps the ScrapeUnblocker API so you get the unblocked page in one call. Our browser renders the page and clears the anti-bot challenge; you get the HTML (or parsed JSON) and hand it to your parser of choice - BeautifulSoup, lxml, pandas, whatever you already use.

Example

pip install scrapeunblocker

from scrapeunblocker import ScrapeUnblocker

client = ScrapeUnblocker(api_key="YOUR_API_KEY")

# Rendered HTML for any URL, anti-bot handled for you
html = client.get_page_source("https://www.example.com")

# Or ask for parsed JSON instead of raw HTML
data = client.get_page_source(
    "https://www.example.com",
    parsed_data=True,
)
print(data)

How it works

  1. Install the package with pip and grab your API key from the dashboard.
  2. Create a client and call get_page_source with the target URL.
  3. The page is rendered and unblocked server-side - you receive clean HTML or JSON.
  4. Parse it with your usual tools, or use parsed_data=True to skip parsing.

What you get

  • One call returns the fully rendered page - no browser to run locally.
  • Anti-bot bypass for Cloudflare, DataDome, PerimeterX and Akamai.
  • parsed_data=True returns structured JSON for supported targets.
  • Works with BeautifulSoup, lxml, pandas and the rest of your stack.

Read the docs: Python SDK docs →

Start scraping in a few lines

500 requests free on signup. No card required to test it.

Try it free → See pricing