A powerful AI-driven financial research and monitoring tool. This agent automatically generates comprehensive financial analysis reports for publicly traded companies by aggregating data from multiple sources and using AI to synthesize insights.
A powerful AI-driven financial research and monitoring tool built on the Apify platform. This agent automatically generates comprehensive financial analysis reports for publicly traded companies by aggregating data from multiple sources and using AI to synthesize insights.
Overview
The AI Finance Monitoring Agent collects data from various financial and business intelligence sources to create detailed financial analysis reports for any publicly traded company. It leverages AI to transform raw financial data into actionable investment insights, comparative market analysis, and performance evaluations.
Features
Automated Financial Research: Generate comprehensive market reports for any publicly traded company using just the ticker symbol
Multi-Source Data Aggregation: Collects and synthesizes data from:
LinkedIn company profiles (company information, employee count, specialties)
Crunchbase (funding information, investors, business details)
Sector-specific index data for comparative analysis
S&P 500 benchmark data
Comparative Market Analysis: Automatically compares company performance against sector indices and the S&P 500
AI-Powered Report Generation: Uses Google's Gemini 2.0 Flash model to synthesize collected data into readable, insightful reports
Historical Analysis: Analyze performance over customizable timeframes (1-365 days)
Exportable Results: Reports generated in Markdown format for easy integration into research workflows
Input
Parameter
Type
Description
Default
company_ticker
String
Stock ticker symbol of the company to analyze
Required
past_days
Integer
Number of past days to analyze (1-365)
7
Example input:
1{2"company_ticker":"AAPL",3"past_days":304}
How It Works
Data Collection: The agent collects financial data from Yahoo Finance, LinkedIn, and Crunchbase for the specified company
Index Analysis: Retrieves relevant sector index data and S&P 500 data for comparative analysis
AI Processing: Utilizes Gemini 2.0 Flash to analyze the collected data and generate insights
Report Generation: Creates a detailed markdown report with financial analysis, market trends, and comparative performance
Storage: Saves the report to the Apify key-value store and pushes structured data to the dataset
Output Format
The agent produces two outputs:
Markdown Report: A comprehensive financial analysis report saved in the key-value store
Structured Data: A JSON object with all collected and analyzed data pushed to the dataset
Dependencies
apify & apify-client: For integration with the Apify platform
pydantic-ai: For AI model integration and structured data handling
python-dotenv: For environment variable management
pydantic: For data validation and settings management
License
This project is licensed under the MIT License.
Frequently Asked Questions
Is it legal to scrape job listings or public data?
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
Do I need to code to use this scraper?
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
What data does it extract?
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Can I scrape multiple pages or filter by location?
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
How do I get started?
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!
