clearscrape 1.1.0

Official Python SDK for ClearScrape - Web Scraping API

ClearScrape Python SDK

Official Python client for the ClearScrape web scraping API.

Features

• Simple, intuitive API
• Full async/await support
• Type hints throughout
• Automatic retries with exponential backoff
• Support for all ClearScrape features:
  • JavaScript rendering
  • Premium residential proxies
  • Antibot bypass
  • Screenshots
  • Domain-specific extractors (Amazon, Walmart, Google, etc.)
  • Scraping Browser (Playwright/Puppeteer)
  • Residential Proxy service

Installation

pip install clearscrape

Quick Start

from clearscrape import ClearScrape

client = ClearScrape(api_key="your-api-key")

# Basic scrape
result = client.scrape("https://example.com")
print(result.html)

Usage Examples

Basic Scraping

# Simple HTML fetch
result = client.scrape("https://example.com")

# Get just the HTML
html = client.get_html("https://example.com")

# Get just the text content
text = client.get_text("https://example.com")

JavaScript Rendering

Enable JavaScript rendering for dynamic websites (SPAs, React, Vue, etc.):

result = client.scrape(
    "https://example.com/spa-page",
    js_render=True,
    wait_for=".product-list",  # Wait for element
    wait=3000                   # Additional wait time (ms)
)

Premium Proxies

Use residential proxies to avoid blocks and geo-target:

result = client.scrape(
    "https://example.com",
    premium_proxy=True,
    proxy_country="us"  # Target specific country
)

Antibot Bypass

Bypass Cloudflare, DataDome, PerimeterX and other bot protection:

result = client.scrape(
    "https://protected-site.com",
    antibot=True,
    premium_proxy=True
)

Screenshots

Capture screenshots of web pages:

# Get screenshot as bytes
screenshot = client.screenshot("https://example.com")

# Save to file
with open("screenshot.png", "wb") as f:
    f.write(screenshot)

# Screenshot specific element
screenshot = client.screenshot(
    "https://example.com",
    selector=".product-card"
)

Domain Extractors

Extract structured data from supported websites:

# Amazon product data
product = client.extract(
    "https://www.amazon.com/dp/B09V3KXJPB",
    domain="amazon"
)

print(product["title"])       # "Apple AirPods Pro..."
print(product["price"])       # "$249.00"
print(product["rating"])      # "4.7"
print(product["review_count"]) # "125,432"

# Google SERP data
serp = client.extract(
    "https://www.google.com/search?q=best+laptops",
    domain="google"
)

print(serp["organic_results"][0]["title"])
print(serp["featured_snippet"])
print(serp["related_searches"])

Supported domains:

• amazon - Product pages
• walmart - Product pages
• google - Search results
• google_shopping - Shopping results
• ebay - Product pages
• target - Product pages
• etsy - Product pages
• bestbuy - Product pages
• homedepot - Product pages
• zillow - Property listings
• yelp - Business pages
• indeed - Job listings
• linkedin_jobs - Job listings

Scraping Browser (Playwright/Puppeteer)

Connect to cloud browsers with built-in antibot bypass:

# With Playwright
from playwright.sync_api import sync_playwright

ws_url = client.get_browser_ws_url()

with sync_playwright() as p:
    browser = p.chromium.connect_over_cdp(ws_url)
    page = browser.new_page()
    page.goto("https://example.com")

    title = page.title()
    browser.close()

# With country targeting
ws_url = client.get_browser_ws_url(proxy_country="gb")

Residential Proxies

Use ClearScrape proxies with any HTTP client:

# Get proxy configuration
proxy = client.get_proxy_config()
# ProxyConfig(host='proxy.clearscrape.io', port=8000, username='...', password='...')

# Get proxy URL string
proxy_url = client.get_proxy_url()
# 'http://apikey:[e-mail]:8000'

# With country targeting
proxy_url = client.get_proxy_url(country="us")

# With session sticky IP
proxy_url = client.get_proxy_url(session="my-session-123")

# Combined
proxy_url = client.get_proxy_url(country="us", session="abc")

Use with requests:

import requests

proxy = client.get_proxy_config(country="us")
response = requests.get(
    "https://httpbin.org/ip",
    proxies=proxy.as_dict()
)

Use with httpx:

import httpx

proxy_url = client.get_proxy_url()
response = httpx.get(
    "https://httpbin.org/ip",
    proxies=proxy_url
)

Async Usage

For async applications, use AsyncClearScrape:

import asyncio
from clearscrape import AsyncClearScrape

async def main():
    async with AsyncClearScrape(api_key="your-api-key") as client:
        # All methods are async
        result = await client.scrape("https://example.com")
        print(result.html)

        # Scrape multiple URLs concurrently
        urls = [
            "https://example.com/page1",
            "https://example.com/page2",
            "https://example.com/page3",
        ]
        results = await asyncio.gather(*[
            client.scrape(url) for url in urls
        ])

asyncio.run(main())

Configuration

client = ClearScrape(
    # Required: Your API key
    api_key="your-api-key",

    # Optional: Custom base URL (default: https://clearscrape.io/api)
    base_url="https://clearscrape.io/api",

    # Optional: Request timeout in seconds (default: 60)
    timeout=60,

    # Optional: Number of retries (default: 3)
    retries=3
)

Error Handling

from clearscrape import (
    ClearScrape,
    ClearScrapeError,
    InsufficientCreditsError,
    RateLimitError,
    AuthenticationError,
)

try:
    result = client.scrape("https://example.com")
except AuthenticationError:
    print("Invalid API key")
except InsufficientCreditsError as e:
    print(f"Need {e.required} credits")
except RateLimitError:
    print("Rate limited, try again later")
except ClearScrapeError as e:
    print(f"Error {e.status_code}: {e.message}")

Credits

Feature	Cost
Base request	1 credit
+ JavaScript rendering	+5 credits
+ Premium proxy	+10 credits
+ Antibot bypass	+25 credits
Domain API extraction	25 credits

Support

• Documentation
• API Reference
• GitHub Issues

License

MIT