Finance Scrapers

A pypi package to scrape stock information from different finance sites. Currently supports Yahoo Finance.

Installation

To install, Download the PyPi package or,

pip install finance-scrapers

To upgrade to the latest version,

pip install --upgrade finance-scrapers

Usage

Scrape stock information:

from finance_scrapers import YahooFinance

# the tickers of the stocks you want to scrape
tickers = ['schb', 'googl', 'nflx']

# run the scraper
scraper = YahooFinance(tickers)
all_stock_info = scraper.stock_info

Scrape stock information and display to terminal:

from finance_scrapers import YahooFinance

# the tickers of the stocks you want to scrape
tickers = ['schb', 'googl', 'nflx']

# display data found from stocks
scraper = YahooFinance(tickers)
scraper.display_data()

# display custom data
sample_data = {"name": "Mandy-cyber", "love": "food"}
scraper.display_data(sample_data)

Example

{
    "SCHB": {
        "Current Price": "51.17",
        "Previous Close": "50.88",
        "Avg Volume": "2009-11-03",
        "PE Ratio (TTM)": "50.87",
        "Bid": "51.10 x 3200",
        "52 Week Range": "40.92 - 53.71",
        "Open": "50.99",
        "Yield": "1.42%",
        "Day's Range": "50.74 - 51.18",
        "YTD Daily Total Return": "14.40%",
        "Beta (5Y Monthly)": "1.01",
        "Volume": "706,955",
        "Net Assets": "23.86B",
        "Ask": "51.11 x 1300"
    },
    "GOOGL": {
        "Current Price": "128.69",
        "Previous Close": "127.46",
        "Avg Volume": "147.79",
        "PE Ratio (TTM)": "1.06",
        "Bid": "128.39 x 1300",
        "52 Week Range": "83.34 - 133.74",
        "Open": "127.18",
        "EPS (TTM)": "4.40",
        "Day's Range": "126.56 - 128.73",
        "Earnings Date": "Oct 23, 2023 - Oct 27, 2023",
        "Forward Dividend & Yield": "N/A (N/A)",
        "Volume": "14,563,877",
        "Market Cap": "1.636T",
        "Ask": "128.37 x 1100"
    },
    "NKE": {
        "Current Price": "103.01",
        "Previous Close": "104.81",
        "Avg Volume": "116.24",
        "PE Ratio (TTM)": "1.12",
        "Bid": "102.84 x 800",
        "52 Week Range": "82.22 - 131.31",
        "Open": "105.47",
        "EPS (TTM)": "3.23",
        "Day's Range": "102.63 - 105.48",
        "Earnings Date": "Sep 27, 2023 - Oct 02, 2023",
        "Forward Dividend & Yield": "1.36 (1.29%)",
        "Volume": "4,524,728",
        "Market Cap": "158.325B",
        "Ask": "102.86 x 1000"
    }
}

Scrape stock information and download to a file:

from finance_scrapers import YahooFinance

# the tickers of the stocks you want to scrape
tickers = ['schb', 'googl', 'nflx']

scraper = YahooFinance(tickers)

# download data
scraper.download_data(file_type="json", file_path="sample.json", overwrite=False) # or,
scraper.download_data("markdown", "sample.md") # or,
scraper.download_data("csv", "sample.csv") # or,
scraper.download_data("excel", "sample.xlsx")

_{Examples of these downloads can be found here}