ai12z Copilot: Google Organic Search with Web Scraping Agent
Overview
The Google Organic Search with Web Scraping Agent is a powerful tool within the ai12z Copilot suite that allows you to retrieve the top organic search results from Google for any given query. Additionally, it can scrape the content of each result's web page rapidly by utilizing parallel processing. This agent not only gathers data but also leverages the ai12z Copilot's reasoning engine to analyze the collected information, providing you with insightful summaries and analyses of the results.
Key Features
- Retrieve Up to 10 Search Results per Agent call: Fetch the top organic search results from Google, up to a maximum of 10 URLs per query. The LLM could create different variations of a query
Here are five variations of the query to search for recent AI news from the past month:
- "Latest AI developments in September 2024"
- "AI breakthroughs in the last 30 days"
- "Recent advancements in artificial intelligence September 2024"
- "AI news updates for the past month"
- "What happened in AI technology in September 2024"
This would return essentially 60 pages of research
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Parallel Web Scraping: Scrape content from the retrieved web pages simultaneously, ensuring rapid data collection without delays.
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Advanced Analysis: The ai12z Copilot's reasoning engine processes and analyzes the collected data, delivering comprehensive insights.
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Ease of Use: As an out-of-the-box agent, it requires no customization and can be enabled effortlessly within your ai12z Copilot environment.
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Cost-Effective: Utilize this agent at a minimal cost—just a fraction of a penny per use—making it an economical choice for your data retrieval needs.
Purpose
The agent is designed to:
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Simplify Data Gathering: Streamline the process of obtaining search results and corresponding web page content without the need for manual scraping or multiple API calls.
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Enhance Research Projects: Empower researchers and professionals by providing up-to-date information on any subject, analyzed and summarized by the reasoning engine.
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Save Time: Leverage parallel processing to significantly reduce the time taken to scrape and analyze content from multiple web pages.
Why Use This Agent for Research Projects?
In the realm of research, accessing the most recent and relevant information is crucial. Here's how this agent benefits research projects:
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Comprehensive Data Collection: By querying the web on any subject, you can gather a wide array of perspectives and data points from the top 20 Google search results.
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Automated Analysis: The ai12z Copilot's reasoning engine analyzes the content of all retrieved web pages. It synthesizes the information, identifies key themes, and provides an analytical summary, saving you hours of manual review.
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Up-to-Date Information: Ensure that your research is based on the latest available data, as the agent pulls real-time information from the web.
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Efficient Workflow: The combination of rapid data retrieval and automated analysis streamlines your research process, allowing you to focus on higher-level insights and decision-making.
Example Use Cases for Research:
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Academic Research: Quickly gather and analyze the latest studies, articles, and discussions on a particular topic.
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Market Analysis: Collect and assess information about industry trends, competitor activities, or consumer opinions.
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Policy Development: Retrieve and evaluate the most recent policies, regulations, or expert opinions relevant to a specific area.
How It Works
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Search Execution: The agent sends your specified query to Google and retrieves the top organic search results based on your parameters.
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Result Compilation: It collects essential information from each result, including the URL, title, and a snippet.
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Content Scraping: Using parallel processing, the agent scrapes the content from each web page simultaneously, greatly accelerating the process.
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Data Limitation: To maintain performance, the content from each page is limited to 25,000 characters (approximately 4,000 tokens).
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Data Analysis: The reasoning engine processes the scraped content from all results, analyzing the information to generate summaries, identify key points, and draw insights.
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Data Delivery: The compiled and analyzed data is returned in a structured JSON format, ready for use in your application or research project.
Parameters
When invoking the agent, you can specify the following parameters:
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query (string, required): The search query you want to retrieve results for (e.g., "impact of climate change on marine life").
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num (integer, optional): The number of search results to retrieve. Default is 10, with a maximum limit of 20.
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return_content (boolean, optional): Determines whether to scrape the web pages for content and perform analysis. Default is
True
.
Enabling the Agent
To enable the Google Organic Search with Web Scraping Agent in your ai12z Copilot:
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Access the Agent Settings: Log in to your ai12z Copilot dashboard and navigate to the Agents section.
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Locate the Agent: Find the "Google Organic Search with Web Scraping" agent in the list of available agents.
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Enable the Agent: Click on the agent and select "Enable" to activate it for your projects.
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Set Parameters: When using the agent, specify the desired parameters (
query
,num
,return_content
) as needed for your application.
Usage Example
When Enabled the the LLM will make a request to the Google Organic Search and Web Scrape agent. The request would look like this from the LLM to the Agent:
{
"function": "get_google_organic_results",
"parameters": {
"query": "effects of artificial intelligence on employment",
"num": 20,
"return_content": true
}
}
In this example, the agent will:
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Retrieve the top 20 Google search results for "effects of artificial intelligence on employment".
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Scrape the content from each of these web pages.
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Utilize the reasoning engine to analyze the collected content, summarizing key findings and trends.
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Return the data in JSON format, including URLs, titles, snippets, content, and the analysis.
Output Example
The agent will provide an output similar to this, and return it back to the RE LLM:
{
"results": [
{
"url": "https://example.com/article1",
"title": "AI and the Future of Work",
"snippet": "An in-depth look at how AI is changing employment...",
"content": "Full content of the web page...",
"analysis": "Key points from this article include..."
},
{
"url": "https://example.com/article2",
"title": "Automation and Job Markets",
"snippet": "Exploring the impact of automation...",
"content": "Full content of the web page...",
"analysis": "This source highlights..."
}
// Additional results...
],
"overall_analysis": "After reviewing the top 20 articles, common themes include..."
}
Benefits of the Analysis
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Thematic Overview: The reasoning engine identifies common themes and trends across all results, providing a macro-level view of the topic.
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Data-Driven Decisions: Use the analyzed information to inform your research hypotheses, project directions, or strategic decisions.
Cost
Using the Google Organic Search with Web Scraping Agent is highly cost-effective. Each invocation incurs a minimal charge—a fraction of a penny—making it an affordable option for frequent use without significantly impacting your budget.
Limitations
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Non-Customizable: This is an out-of-the-box agent with fixed functionality and cannot be customized.
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Content Size Restriction: Scraped content is limited to 25,000 characters per page to ensure optimal performance.
Support
If you need assistance or have questions about the agent:
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Documentation: Refer to the ai12z Copilot documentation for more detailed information.
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Contact Us: Reach out to our support team at support@ai12z.com for personalized help.
By enabling the Google Organic Search with Web Scraping Agent, you can enhance your research projects with rapid access to comprehensive and analyzed web data. This tool empowers you to delve into any subject matter efficiently, providing valuable insights and saving you significant time and effort.