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https://github.com/crewAIInc/crewAI.git
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update documents according to suggestions
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@@ -9,7 +9,9 @@ Install the required packages:
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pip install 'crewai[tools]'
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```
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## Example
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## Example Usage
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### Basic Usage
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```python
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from crewai_tools import ScrapegraphScrapeTool
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@@ -19,19 +21,40 @@ result = tool.run(
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website_url="https://www.example.com",
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user_prompt="Extract the main heading and summary"
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)
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```
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### Fixed Website URL
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```python
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# Initialize with a fixed website URL
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tool = ScrapegraphScrapeTool(
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website_url="https://www.example.com",
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api_key="your_api_key"
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)
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result = tool.run()
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```
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### Custom Prompt
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```python
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# With custom prompt
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tool = ScrapegraphScrapeTool(
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api_key="your_api_key",
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user_prompt="Extract all product prices and descriptions"
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)
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result = tool.run(website_url="https://www.example.com")
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```
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### Error Handling
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```python
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try:
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tool = ScrapegraphScrapeTool(api_key="your_api_key")
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result = tool.run(
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website_url="https://www.example.com",
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user_prompt="Extract the main heading"
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)
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except ValueError as e:
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print(f"Configuration error: {e}") # Handles invalid URLs or missing API keys
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except RuntimeError as e:
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print(f"Scraping error: {e}") # Handles API or network errors
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```
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## Arguments
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@@ -40,4 +63,22 @@ tool = ScrapegraphScrapeTool(
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- `api_key`: Your Scrapegraph API key (required, can be set via SCRAPEGRAPH_API_KEY environment variable)
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## Environment Variables
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- `SCRAPEGRAPH_API_KEY`: Your Scrapegraph API key, you can buy it [here](https://scrapegraphai.com)
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- `SCRAPEGRAPH_API_KEY`: Your Scrapegraph API key, you can obtain one [here](https://scrapegraphai.com)
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## Rate Limiting
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The Scrapegraph API has rate limits that vary based on your subscription plan. Consider the following best practices:
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- Implement appropriate delays between requests when processing multiple URLs
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- Handle rate limit errors gracefully in your application
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- Check your API plan limits on the Scrapegraph dashboard
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## Error Handling
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The tool may raise the following exceptions:
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- `ValueError`: When API key is missing or URL format is invalid
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- `RuntimeError`: When scraping operation fails (network issues, API errors)
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- `RateLimitError`: When API rate limits are exceeded
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## Best Practices
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1. Always validate URLs before making requests
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2. Implement proper error handling as shown in examples
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3. Consider caching results for frequently accessed pages
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4. Monitor your API usage through the Scrapegraph dashboard
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@@ -1,15 +1,25 @@
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import os
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from typing import Any, Optional, Type
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from urllib.parse import urlparse
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from crewai.tools import BaseTool
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from pydantic import BaseModel, Field
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from pydantic import BaseModel, Field, validator
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from scrapegraph_py import Client
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from scrapegraph_py.logger import sgai_logger
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class ScrapegraphError(Exception):
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"""Base exception for Scrapegraph-related errors"""
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pass
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class RateLimitError(ScrapegraphError):
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"""Raised when API rate limits are exceeded"""
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pass
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class FixedScrapegraphScrapeToolSchema(BaseModel):
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"""Input for ScrapegraphScrapeTool when website_url is fixed."""
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pass
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@@ -22,8 +32,28 @@ class ScrapegraphScrapeToolSchema(FixedScrapegraphScrapeToolSchema):
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description="Prompt to guide the extraction of content",
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)
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@validator('website_url')
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def validate_url(cls, v):
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"""Validate URL format"""
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try:
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result = urlparse(v)
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if not all([result.scheme, result.netloc]):
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raise ValueError
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return v
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except Exception:
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raise ValueError("Invalid URL format. URL must include scheme (http/https) and domain")
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class ScrapegraphScrapeTool(BaseTool):
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"""
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A tool that uses Scrapegraph AI to intelligently scrape website content.
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Raises:
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ValueError: If API key is missing or URL format is invalid
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RateLimitError: If API rate limits are exceeded
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RuntimeError: If scraping operation fails
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"""
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name: str = "Scrapegraph website scraper"
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description: str = "A tool that uses Scrapegraph AI to intelligently scrape website content."
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args_schema: Type[BaseModel] = ScrapegraphScrapeToolSchema
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@@ -45,6 +75,7 @@ class ScrapegraphScrapeTool(BaseTool):
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raise ValueError("Scrapegraph API key is required")
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if website_url is not None:
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self._validate_url(website_url)
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self.website_url = website_url
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self.description = f"A tool that uses Scrapegraph AI to intelligently scrape {website_url}'s content."
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self.args_schema = FixedScrapegraphScrapeToolSchema
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@@ -55,6 +86,32 @@ class ScrapegraphScrapeTool(BaseTool):
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# Configure logging
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sgai_logger.set_logging(level="INFO")
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@staticmethod
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def _validate_url(url: str) -> None:
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"""Validate URL format"""
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try:
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result = urlparse(url)
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if not all([result.scheme, result.netloc]):
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raise ValueError
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except Exception:
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raise ValueError("Invalid URL format. URL must include scheme (http/https) and domain")
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def _handle_api_response(self, response: dict) -> str:
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"""Handle and validate API response"""
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if not response:
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raise RuntimeError("Empty response from Scrapegraph API")
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if "error" in response:
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error_msg = response.get("error", {}).get("message", "Unknown error")
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if "rate limit" in error_msg.lower():
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raise RateLimitError(f"Rate limit exceeded: {error_msg}")
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raise RuntimeError(f"API error: {error_msg}")
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if "result" not in response:
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raise RuntimeError("Invalid response format from Scrapegraph API")
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return response["result"]
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def _run(
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self,
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**kwargs: Any,
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@@ -65,6 +122,9 @@ class ScrapegraphScrapeTool(BaseTool):
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if not website_url:
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raise ValueError("website_url is required")
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# Validate URL format
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self._validate_url(website_url)
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# Initialize the client
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sgai_client = Client(api_key=self.api_key)
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@@ -75,8 +135,13 @@ class ScrapegraphScrapeTool(BaseTool):
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user_prompt=user_prompt,
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)
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# Return the result
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return response["result"]
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# Handle and validate the response
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return self._handle_api_response(response)
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except RateLimitError:
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raise # Re-raise rate limit errors
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except Exception as e:
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raise RuntimeError(f"Scraping failed: {str(e)}")
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finally:
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# Always close the client
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sgai_client.close()
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