Added webdriver_manager

Author: officialpm

Scripts/Web_Scrappers/COVID-19_Scraper/COVIDWebScraper.py

@@ -1,31 +1,39 @@
 # Web Scraping COVID-19 Data for Top 10 Countries Affected (Issue #31)
 # https://github.com/Python-World/Python_and_the_Web/issues/31
 # Contributed by @tauseefmohammed2 : https://github.com/tauseefmohammed2
+# Updated by @officialpm : https://github.com/officialpm
 
-# Requirements : 
+# Requirements :
 # Selenium (Web Scrapping Python Library. Install : pip install selenium)
-# ChromeDriver (Used for Automated Navigation to URLs, which are Provided by Selenium as Input. Download : https://chromedriver.chromium.org/downloads)
 # Pandas (Data Manipulation Library. Install : pip install pandas)
 
-from selenium import webdriver
-import pandas
 import datetime
 
+import pandas
+from selenium import webdriver
+from webdriver_manager.chrome import ChromeDriverManager
+
 td = datetime.date.today()
 wait_imp = 10
 CO = webdriver.ChromeOptions()
-CO.add_experimental_option('useAutomationExtension', False)
-CO.add_argument('--ignore-certificate-errors')
-CO.add_argument('--headless')
+CO.add_experimental_option("useAutomationExtension", False)
+CO.add_argument("--ignore-certificate-errors")
+CO.add_argument("--headless")
 
 # Creating WebDriver Object
-wd = webdriver.Chrome(r'C:\\Users\\TEMP\\Downloads\\chromedriver_win32 (1)\\chromedriver.exe',options=CO)
-# Replace the Above Location of chromedriver.exe with your Saved Location 
+wd = webdriver.Chrome(ChromeDriverManager().install(), options=CO)
+# Replace the Above Location of chromedriver.exe with your Saved Location
 
-print ("Date:",td.strftime("%b-%d-%Y"))
-print ("--------------------------------------------------------------------------------------------")
-print ("               COVID-19 Statistics From Around the World (Top 10 Countries)                 ")
-print ("--------------------------------------------------------------------------------------------")
+print("Date:", td.strftime("%b-%d-%Y"))
+print(
+    "--------------------------------------------------------------------------------------------"
+)
+print(
+    "               COVID-19 Statistics From Around the World (Top 10 Countries)                 "
+)
+print(
+    "--------------------------------------------------------------------------------------------"
+)
 
 # Using get() method to Open a URL (WHO)
 wd.get("https://www.who.int/emergencies/diseases/novel-coronavirus-2019")
@@ -39,15 +47,17 @@
 print("-------------------------------------------------------")
 
 # Using get() method to Open a URL (Worldometers)
-wd.get("https://www.worldometers.info/coronavirus/countries-where-coronavirus-has-spread/")
+wd.get(
+    "https://www.worldometers.info/coronavirus/countries-where-coronavirus-has-spread/"
+)
 
 # Creating Empty Lists to Store Information which will be Retrieved
 country_list = []
 cases_list = []
 deaths_list = []
 continent_list = []
 
-table =  wd.find_element_by_id("table3")
+table = wd.find_element_by_id("table3")
 count = 0
 for row in table.find_elements_by_xpath(".//tr"):
     if count == 0:
@@ -58,7 +68,7 @@
     cases_list.append(lst[1])
     deaths_list.append(lst[2])
     continent_list.append(lst[3])
-    if count < 11 :
+    if count < 11:
         print("Country : ", lst[0])
         print("Total Cases : ", lst[1])
         print("Total Deaths : ", lst[2])
@@ -69,6 +79,13 @@
 wd.quit()
 
 # Creating a DataFrame (2D-Tabular Data Structure) using the Information Collected
-df = pandas.DataFrame(data={"Country": country_list, "Total Cases": cases_list, "Total Deaths": deaths_list, "Continent": continent_list})
+df = pandas.DataFrame(
+    data={
+        "Country": country_list,
+        "Total Cases": cases_list,
+        "Total Deaths": deaths_list,
+        "Continent": continent_list,
+    }
+)
 # Using to_csv() Function which Dumps the Data from the DataFrame to a CSV File
-df.to_csv("./data.csv", sep=',',index=False)
+df.to_csv("./data.csv", sep=",", index=False)

Scripts/Web_Scrappers/COVID-19_Scraper/requirements.txt

@@ -1,2 +1,3 @@
 selenium==3.141.0
 pandas==1.0.1
+webdriver-manager