marketminer 0.5.0

A Python library for scraping financial data from various sources.

MarketMiner

MarketMiner is a Python library for scraping finance-related information — from market news to company fundamentals — in an easy and structured way.

It is designed for analysts, traders, and developers who want quick programmatic access to financial data without relying on expensive APIs.

Features

• News Scraper: Get historical news articles from various sources.
• Company Fundamentals: Access financial statements and key metrics for public companies.
• Macroeconomic Data: Fetch macroeconomic indicators.

Installation

pip install marketminer

Usage

1. Scraping News Articles

from marketminer import scrape_economic_times

df = scrape_economic_times(start_date='2023-01-01', end_date='2023-10-01')
print(df.head())

2. Fetching Company Fundamentals

from marketminer import scrape_fundamentals
financial_data = scrape_fundamentals("TCS")

print("Profit & Loss Statement:")
print(financial_data['profit_loss'].head())
print("Balance Sheet:")
print(financial_data['balance_sheet'].head())

3. Scraping Macroeconomic Data

from marketminer import scrape_macro_india
macro_data = scrape_macro_india(start_date='2023-01-01', end_date='2023-10-01')
for time_control, data in macro_data.items():
    print(f"{time_control} Data:")
    print(data.head())

Dependencies

• requests: For making HTTP requests.
• pandas: For data manipulation and analysis.
• beautifulsoup4: For parsing HTML content.
• selenium: For web scraping dynamic content.
• openpyxl: For reading Excel files.'

Note: For fundamentals and macroeconomic scraping, ensure you have Google Chrome + ChromeDriver installed.

• Download ChromeDriver: https://chromedriver.chromium.org/downloads

License

MIT License. Free to use and modify.