Official Python SDK for the ScrapeGraph API - Smart web scraping powered by AI.
pip install scrapegraph-py
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
[!NOTE] You can set the
SGAI_API_KEYenvironment variable and initialize the client without parameters:client = Client()
Extract structured data from any webpage or HTML content using AI.
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
# Using a URL
response = client.smartscraper(
website_url="https://example.com",
user_prompt="Extract the main heading and description"
)
# Or using HTML content
html_content = """
<html>
<body>
<h1>Company Name</h1>
<p>We are a technology company focused on AI solutions.</p>
</body>
</html>
"""
response = client.smartscraper(
website_html=html_content,
user_prompt="Extract the company description"
)
print(response)
from pydantic import BaseModel, Field
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
class WebsiteData(BaseModel):
title: str = Field(description="The page title")
description: str = Field(description="The meta description")
response = client.smartscraper(
website_url="https://example.com",
user_prompt="Extract the title and description",
output_schema=WebsiteData
)
Use cookies for authentication and session management:
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
# Define cookies for authentication
cookies = {
"session_id": "abc123def456",
"auth_token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...",
"user_preferences": "dark_mode,usd"
}
response = client.smartscraper(
website_url="https://example.com/dashboard",
user_prompt="Extract user profile information",
cookies=cookies
)
Common Use Cases:
Infinite Scrolling:
response = client.smartscraper(
website_url="https://example.com/feed",
user_prompt="Extract all posts from the feed",
cookies=cookies,
number_of_scrolls=10 # Scroll 10 times to load more content
)
Pagination:
response = client.smartscraper(
website_url="https://example.com/products",
user_prompt="Extract all product information",
cookies=cookies,
total_pages=5 # Scrape 5 pages
)
Combined with Cookies:
response = client.smartscraper(
website_url="https://example.com/dashboard",
user_prompt="Extract user data from all pages",
cookies=cookies,
number_of_scrolls=5,
total_pages=3
)
Perform AI-powered web searches with structured results and reference URLs.
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
response = client.searchscraper(
user_prompt="What is the latest version of Python and its main features?"
)
print(f"Answer: {response['result']}")
print(f"Sources: {response['reference_urls']}")
from pydantic import BaseModel, Field
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
class PythonVersionInfo(BaseModel):
version: str = Field(description="The latest Python version number")
release_date: str = Field(description="When this version was released")
major_features: list[str] = Field(description="List of main features")
response = client.searchscraper(
user_prompt="What is the latest version of Python and its main features?",
output_schema=PythonVersionInfo
)
Converts any webpage into clean, formatted markdown.
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
response = client.markdownify(
website_url="https://example.com"
)
print(response)
All endpoints support async operations:
import asyncio
from scrapegraph_py import AsyncClient
async def main():
async with AsyncClient() as client:
response = await client.smartscraper(
website_url="https://example.com",
user_prompt="Extract the main content"
)
print(response)
asyncio.run(main())
For detailed documentation, visit docs.scrapegraphai.com
For information about setting up the development environment and contributing to the project, see our Contributing Guide.
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
client.submit_feedback(
request_id="your-request-id",
rating=5,
feedback_text="Great results!"
)
This project is licensed under the MIT License - see the LICENSE file for details.
Made with ❤️ by ScrapeGraph AI
FAQs
ScrapeGraph Python SDK for API
We found that scrapegraph-py demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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