scrapely-python-client 0.1.1

Official Python client for Scrapely.io API

Scrapely Python Client

The official Python client for Scrapely.io, a powerful API for web scraping and CAPTCHA solving.

Features

• Web Crawling: Scrape websites with advanced options like screenshotting, resource blocking, and custom instructions (click, scroll, type, wait).
• CAPTCHA Solving: Solve Google reCAPTCHA (V2/V3) and Cloudflare Turnstile/Challenge.
• Async Support: Fully asynchronous client (AsyncScrapely) for high-concurrency applications.
• Typed Responses: All API responses are returned as typed Python objects for better IDE support and type safety.

Installation

pip install scrapely-python-client

Usage

Synchronous Client

from scrapely import Scrapely

client = Scrapely(api_key="YOUR_API_KEY")

# 1. Crawl a website
response = client.crawler.crawl(
    website_url="https://example.com",
    return_page_text=True
)
print(response.result.text)

# 2. Solve reCAPTCHA V3
captcha = client.google.RecaptchaV3(
    website_url="https://example.com",
    website_key="6LdKlZEpAAAAAAOQjzC2v_d36tWxCl6dWsozdSy9"
)
print(captcha.result.solution)

Asynchronous Client

import asyncio
from scrapely import AsyncScrapely

async def main():
    client = AsyncScrapely(api_key="YOUR_API_KEY")

    # 1. Crawl a website asynchronously
    response = await client.crawler.crawl(
        website_url="https://example.com",
        screenshot=True
    )
    print(f"Screenshot URL: {response.result.screenshot}")

    # 2. Solve Cloudflare Turnstile asynchronously
    captcha = await client.cloudflare.Turnstile(
        website_url="https://example.com",
        website_key="0x4AAAAAA..."
    )
    print(f"Token: {captcha.result.solution}")

if __name__ == "__main__":
    asyncio.run(main())

Advanced Usage

Automation Instructions

You can pass a list of instructions to interact with the page before scraping.

from scrapely import Scrapely
from scrapely.models.types import SendKeys, Click, Wait

client = Scrapely(api_key="YOUR_API_KEY")

instructions = [
    SendKeys(selector="#search", text="scraping"),
    Click(selector="#submit-button"),
    Wait(timeout=2) # Wait 2 seconds
]

response = client.crawler.crawl(
    website_url="https://example.com",
    instructions=instructions,
    return_page_text=True
)

Response Objects

Responses are typed dataclasses:

• CrawlerResponse: Contains result (CrawlerResult) with fields like html, text, cookies, screenshot.
• CaptchaResponse: Contains result (CaptchaResult) with the solution string.

License

MIT