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docs: add SerperScrapeWebsiteTool documentation and reorganize SerperDevTool setup instructions (#3211)

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Mike Plachta
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docs/en/tools/search-research/serperdevtool.mdx
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# `SerperDevTool`
<Note>
We are still working on improving tools, so there might be unexpected behavior or changes in the future.
</Note>
## Description
This tool is designed to perform a semantic search for a specified query from a text's content across the internet. It utilizes the [serper.dev](https://serper.dev) API
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## Installation
To effectively use the `SerperDevTool`, follow these steps:
1. **Package Installation**: Confirm that the `crewai[tools]` package is installed in your Python environment.
2. **API Key Acquisition**: Acquire a `serper.dev` API key by registering for a free account at `serper.dev`.
3. **Environment Configuration**: Store your obtained API key in an environment variable named `SERPER_API_KEY` to facilitate its use by the tool.
To incorporate this tool into your project, follow the installation instructions below:
```shell
@@ -34,14 +36,6 @@ from crewai_tools import SerperDevTool
tool = SerperDevTool()
```
## Steps to Get Started
To effectively use the `SerperDevTool`, follow these steps:
1. **Package Installation**: Confirm that the `crewai[tools]` package is installed in your Python environment.
2. **API Key Acquisition**: Acquire a `serper.dev` API key by registering for a free account at `serper.dev`.
3. **Environment Configuration**: Store your obtained API key in an environment variable named `SERPER_API_KEY` to facilitate its use by the tool.
## Parameters
The `SerperDevTool` comes with several parameters that will be passed to the API :

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docs/en/tools/web-scraping/serperscrapewebsitetool.mdx Normal file
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---
title: Serper Scrape Website
description: The `SerperScrapeWebsiteTool` is designed to scrape websites and extract clean, readable content using Serper's scraping API.
icon: globe
---
# `SerperScrapeWebsiteTool`
## Description
This tool is designed to scrape website content and extract clean, readable text from any website URL. It utilizes the [serper.dev](https://serper.dev) scraping API to fetch and process web pages, optionally including markdown formatting for better structure and readability.
## Installation
To effectively use the `SerperScrapeWebsiteTool`, follow these steps:
1. **Package Installation**: Confirm that the `crewai[tools]` package is installed in your Python environment.
2. **API Key Acquisition**: Acquire a `serper.dev` API key by registering for an account at `serper.dev`.
3. **Environment Configuration**: Store your obtained API key in an environment variable named `SERPER_API_KEY` to facilitate its use by the tool.
To incorporate this tool into your project, follow the installation instructions below:
```shell
pip install 'crewai[tools]'
```
## Example
The following example demonstrates how to initialize the tool and scrape a website:
```python Code
from crewai_tools import SerperScrapeWebsiteTool
# Initialize the tool for website scraping capabilities
tool = SerperScrapeWebsiteTool()
# Scrape a website with markdown formatting
result = tool.run(url="https://example.com", include_markdown=True)
```
## Arguments
The `SerperScrapeWebsiteTool` accepts the following arguments:
- **url**: Required. The URL of the website to scrape.
- **include_markdown**: Optional. Whether to include markdown formatting in the scraped content. Defaults to `True`.
## Example with Parameters
Here is an example demonstrating how to use the tool with different parameters:
```python Code
from crewai_tools import SerperScrapeWebsiteTool
tool = SerperScrapeWebsiteTool()
# Scrape with markdown formatting (default)
markdown_result = tool.run(
url="https://docs.crewai.com",
include_markdown=True
)
# Scrape without markdown formatting for plain text
plain_result = tool.run(
url="https://docs.crewai.com",
include_markdown=False
)
print("Markdown formatted content:")
print(markdown_result)
print("\nPlain text content:")
print(plain_result)
```
## Use Cases
The `SerperScrapeWebsiteTool` is particularly useful for:
- **Content Analysis**: Extract and analyze website content for research purposes
- **Data Collection**: Gather structured information from web pages
- **Documentation Processing**: Convert web-based documentation into readable formats
- **Competitive Analysis**: Scrape competitor websites for market research
- **Content Migration**: Extract content from existing websites for migration purposes
## Error Handling
The tool includes comprehensive error handling for:
- **Network Issues**: Handles connection timeouts and network errors gracefully
- **API Errors**: Provides detailed error messages for API-related issues
- **Invalid URLs**: Validates and reports issues with malformed URLs
- **Authentication**: Clear error messages for missing or invalid API keys
## Security Considerations
- Always store your `SERPER_API_KEY` in environment variables, never hardcode it in your source code
- Be mindful of rate limits imposed by the Serper API
- Respect robots.txt and website terms of service when scraping content
- Consider implementing delays between requests for large-scale scraping operations