The ScrapegraphScrapeTool
leverages Scrapegraph AI’s SmartScraper API to intelligently extract content from websites.
ScrapegraphScrapeTool
The ScrapegraphScrapeTool
is designed to leverage Scrapegraph AI’s SmartScraper API to intelligently extract content from websites. This tool provides advanced web scraping capabilities with AI-powered content extraction, making it ideal for targeted data collection and content analysis tasks. Unlike traditional web scrapers, it can understand the context and structure of web pages to extract the most relevant information based on natural language prompts.
To use this tool, you need to install the Scrapegraph Python client:
You’ll also need to set up your Scrapegraph API key as an environment variable:
You can obtain an API key from Scrapegraph AI.
To effectively use the ScrapegraphScrapeTool
, follow these steps:
The following example demonstrates how to use the ScrapegraphScrapeTool
to extract content from a website:
You can also initialize the tool with predefined parameters:
The ScrapegraphScrapeTool
accepts the following parameters during initialization:
SCRAPEGRAPH_API_KEY
environment variable.False
.When using the ScrapegraphScrapeTool
with an agent, the agent will need to provide the following parameters (unless they were specified during initialization):
The tool will return the extracted content based on the provided prompt.
The ScrapegraphScrapeTool
may raise the following exceptions:
It’s recommended to instruct agents to handle potential errors gracefully:
The Scrapegraph API has rate limits that vary based on your subscription plan. Consider the following best practices:
The ScrapegraphScrapeTool
uses the Scrapegraph Python client to interact with the SmartScraper API:
The ScrapegraphScrapeTool
provides a powerful way to extract content from websites using AI-powered understanding of web page structure. By enabling agents to target specific information using natural language prompts, it makes web scraping tasks more efficient and focused. This tool is particularly useful for data extraction, content monitoring, and research tasks where specific information needs to be extracted from web pages.
The ScrapegraphScrapeTool
leverages Scrapegraph AI’s SmartScraper API to intelligently extract content from websites.
ScrapegraphScrapeTool
The ScrapegraphScrapeTool
is designed to leverage Scrapegraph AI’s SmartScraper API to intelligently extract content from websites. This tool provides advanced web scraping capabilities with AI-powered content extraction, making it ideal for targeted data collection and content analysis tasks. Unlike traditional web scrapers, it can understand the context and structure of web pages to extract the most relevant information based on natural language prompts.
To use this tool, you need to install the Scrapegraph Python client:
You’ll also need to set up your Scrapegraph API key as an environment variable:
You can obtain an API key from Scrapegraph AI.
To effectively use the ScrapegraphScrapeTool
, follow these steps:
The following example demonstrates how to use the ScrapegraphScrapeTool
to extract content from a website:
You can also initialize the tool with predefined parameters:
The ScrapegraphScrapeTool
accepts the following parameters during initialization:
SCRAPEGRAPH_API_KEY
environment variable.False
.When using the ScrapegraphScrapeTool
with an agent, the agent will need to provide the following parameters (unless they were specified during initialization):
The tool will return the extracted content based on the provided prompt.
The ScrapegraphScrapeTool
may raise the following exceptions:
It’s recommended to instruct agents to handle potential errors gracefully:
The Scrapegraph API has rate limits that vary based on your subscription plan. Consider the following best practices:
The ScrapegraphScrapeTool
uses the Scrapegraph Python client to interact with the SmartScraper API:
The ScrapegraphScrapeTool
provides a powerful way to extract content from websites using AI-powered understanding of web page structure. By enabling agents to target specific information using natural language prompts, it makes web scraping tasks more efficient and focused. This tool is particularly useful for data extraction, content monitoring, and research tasks where specific information needs to be extracted from web pages.