This tutorial is similar to RapidAPI example found in the official blog, with one exception, this example is users request method instead of unirest package which is not available on RapidAPI blog.

RapidAPI

RapidAPI is a website which provides useful APIs (Application Programing Interface) like Yahoo Finance, Email Verification, Geolocation which can be used to add features to your websites and apps using variety of programming languages like Python, Java, .Net etc.

Yahoo Finance example

For creating application to show stock chart using YahooFinanceAPI and Python, we are go through the following

• Create a Rapid API Account
• Subscribe to Yahoo Finance to get the endpoint (Which is a URL for getting information)
• Create methods to connect API and Process data
• Draw Plot

Install requirements

Install required packages using pip. I suggest using Python virtual environment.

pip install seaborn pandas 

Complete Source code

import json
from datetime import datetime
import matplotlib.pyplot as plt
import pandas as pd
import requests
import seaborn as sns
from matplotlib import rcParams
from past.builtins import raw_input

RAPIDAPI_KEY = "<YOUR_RAPIDAPI_KEY>"
RAPIDAPI_HOST = "<YOUR_RAPIDAPI_ENDPOINT>"

symbol_string = ""
inputdata = {}


def fetchStockData(symbol):
    url = "https://apidojo-yahoo-finance-v1.p.rapidapi.com/market/get-charts"

    querystring = {"comparisons": "%5EGDAXI%2C%5EFCHI", "region": "US", "lang": "en", "symbol": symbol,
                   "interval": "5m", "range": "1d"}

    headers = {
        'x-rapidapi-host': "apidojo-yahoo-finance-v1.p.rapidapi.com",
        'x-rapidapi-key': "275d968795msheb0c2d90f2d7a32p1141eajsnef8c254e756a"
    }
    response = requests.request("GET", url, headers=headers, params=querystring)
    if (response.status_code == 200):

        return json.loads(response.text)
    else:
        return None


def parseTimestamp(inputdata):
    timestamplist = []
    timestamplist.extend(inputdata["chart"]["result"][0]["timestamp"])
    timestamplist.extend(inputdata["chart"]["result"][0]["timestamp"])
    calendertime = []
    for ts in timestamplist:
        dt = datetime.fromtimestamp(ts)
        calendertime.append(dt.strftime("%m/%d/%Y"))
    return calendertime


def parseValues(inputdata):
    valueList = []
    valueList.extend(inputdata["chart"]["result"][0]["indicators"]["quote"][0]["open"])
    valueList.extend(inputdata["chart"]["result"][0]["indicators"]["quote"][0]["close"])
    return valueList


def attachEvents(inputdata):
    eventlist = []
    for i in range(0, len(inputdata["chart"]["result"][0]["timestamp"])):
        eventlist.append("open")
    for i in range(0, len(inputdata["chart"]["result"][0]["timestamp"])):
        eventlist.append("close")
    return eventlist


if __name__ == "__main__":
    try:
        while len(symbol_string) <= 2:
            symbol_string = raw_input("Enter the stock symbol: ")
        retdata = fetchStockData(symbol_string)

        if (None != inputdata):
            inputdata["Timestamp"] = parseTimestamp(retdata)
            inputdata["Values"] = parseValues(retdata)
            inputdata["Events"] = attachEvents(retdata)
            df = pd.DataFrame(inputdata)
            sns.set(style="darkgrid")
            rcParams['figure.figsize'] = 13, 5
            rcParams['figure.subplot.bottom'] = 0.2

            ax = sns.lineplot(x="Timestamp", y="Values", hue="Events", dashes=False, markers=True,
                              data=df, sort=False)
            ax.set_title('Symbol: ' + symbol_string)

            plt.xticks(
                rotation=45,
                horizontalalignment='right',
                fontweight='light',
                fontsize='xx-small'
            )
            plt.show()
    except Exception as e:
        print("Error")
        print(e)

Output