Metadata-Version: 2.1
Name: fdscraper
Version: 0.0.1
Summary: A Web scrapping tool for stock fundamentals data
Home-page: https://github.com/chinmaykurade/fdscraper
Author: Chinmay Kurade
Author-email: chinmay.v.kurade@gmail.com
License: UNKNOWN
Description: # Indian Stocks- Fundamentals Data Downloader
        
        A web scrapper using Selenium Python to download the fundamentals as well as price data from [Screener.in](https://www.screener.in)
        
        
        # Introduction
        
        Fundamental analysis of any company includes the financial statement analysis
        of the respective company. This package helps to download the financial data 
        of companies listed on the NSE - India. Also, some tools are provided to 
        help analyse the financial data of the companies as well.
         
        # Usage
        
        First, either create the list of companies or create a file containing the
        names of companies. The elements of the list must be the stock symbols on NSE.
        NOTE: The first element of the list is the name of the list and will be ignored.
        
        You also need to download the chrome web driver for your respective Chrome
        browser version. Note that this version of the package currently supports only
        Google Chrome browser, support for other browsers will be added in future versions. 
        
        ## 1. Downloading the financials of companies
            
        1. Import the module and define the webdriver path
        ```python
        from fdscraper.scrape.download import Companies
        driver_path = 'chromedriver.exe'
        ```   
        2. Downloading the financial data
        - Downloading from a list
            
        ```python
        companies_list = ['my_list','ITC','HDFCBANK']
        comps = Companies(companies=companies_list,driver_path='chromedriver.exe')
        data_comps = comps.get_financials()
        ```
        
        - Downloading from a text file:  
        Create a text file in the following format:
            
        ```
        my_list,TCS,HDFCBANK
        ```
        
        And then download the data:
        ```python
        file_path = 'input.txt' # Path to the input file
        comps = Companies(driver_path='chromedriver.exe')
        data_comps = comps.get_financials(file_path=file_path)
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
