Simple Scraper for Finviz stock data.
The function scrape_finviz accepts a list of tickers and returns a pandas dataframe. All data from the financial highlights table (72 variables) as well as the sector, sub-sector and country are returned. A progress bar is displayed for tracking (requires the progressbar library)
Extended version fetches Gurufocus' Piotroski F-Score, Altman Z-Score and Beneish M-Score appending them as last 3 columns in the resulting dataset.
The list of tickers may be in uppercase or lower case
# data is a pandas DataFrame
data=scrape_finviz(['FB','INGN'])Multiprocessing is also implemented in multiprocessing_finviz.py. In this example tickers from the S&P500 are scraped, based on data from https://datahub.io/. To run open command prompt and enter:
python multiprocessing_finviz.py <<save_path>> where <<save_path>> is the location to save the results (default is C:/SnP500.csv).
Scraped results are available in the resource folder
The price data has a lag of 15-20 minutes. Certain financial ratios might be affected by the price. It is recommended to scrape after market close or before market open. Further cleaning of the scraped data might be required (e.g. Market Cap, Income and Sales are returned with B or M for Billion or Million respectively).