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()
Scrapes any webpage using AI to extract specific information.
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
# Basic usage
response = client.smartscraper(
website_url="https://example.com",
user_prompt="Extract the main heading and 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
)
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)
Extracts information from HTML content using AI.
from scrapegraph_py import Client
client = Client(api_key="your-api-key-here")
html_content = """
<html>
<body>
<h1>Company Name</h1>
<p>We are a technology company focused on AI solutions.</p>
<div class="contact">
<p>Email: contact@example.com</p>
</div>
</body>
</html>
"""
response = client.localscraper(
user_prompt="Extract the company description",
website_html=html_content
)
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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