Update Daily_Star_fully_scraped.py

Daily_Star_fully_scraped.py

@@ -1,79 +1,85 @@
-def get_data(number):
-
-    
-    ##Necessary imports
-    from selenium import webdriver
-    from selenium.webdriver import chrome
-    from selenium.webdriver import ChromeOptions
-    options = ChromeOptions()
-    options.add_argument("--headless=new")
-    driver = webdriver.Chrome(options=options)
-    ## Finding Elements by XPATH
-    from selenium.webdriver.common.by import By
-
-    driver.get("https://www.thedailystar.net/tags/road-accident")
-    
-    """
-    Browsing with browser open codes:
-    ##Necessary imports
-    from selenium import webdriver
-    from selenium.webdriver import chrome
-
-    driver = webdriver.Chrome()
-    ## Finding Elements by XPATH
-    from selenium.webdriver.common.by import By
-    driver.get("https://en.prothomalo.com/topic/Road-accident")
-   """ 
-    import time
-    news_list=[]
-    news_link=[]
-    publish_date=[]
-    for i in range(number):
-        #time.sleep(5)
-        if (i+1)!=0 and (i+1)%10==0:
-            last_height = driver.execute_script("return document.body.scrollHeight")
-            driver.execute_script(f"window.scrollTo(0, {last_height-950})")
-            driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[5]/div/div/div[1]/div/div[2]/ul/li/a').click()
-            time.sleep(10)
-        txt=driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[5]/div/div/div[1]/div/div[1]/div[{i+1}]/div[2]/div[2]/div[2]/h3/a')
-        publish_date.append(driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[5]/div/div/div[1]/div/div[1]/div[{i+1}]/div[2]/div[1]').text)
-        news_list.append(txt.text)
-        news_link.append(txt.get_attribute("href"))   
-
-
-
-    #### Converting the list to a pandas dataframe by converting the list to a dictionary  ###
-    dict={'News Title':news_list,'News Link':news_link,'Publish Date':publish_date}
-    import pandas as pd
-    df=pd.DataFrame(dict)
-
-
-    ############################################### Description Exctraction #################################################
-    from newspaper import Article
-
-
-    text=[]
-    for i in range(len(df)):
-        url = df['News Link'][i]
-        article = Article(url)
-        article.download()
-        article.parse()
-        
-        text.append(article.text)
-
-    df2=df.assign(Description=text)
-
-
-    for p in range(len(df2)):
-        if df2['Publish Date'][p]=="Not available":
-            df2.drop([p],inplace=True)
-    #df2.reset_index()
-
-    df2.reset_index(drop=True,inplace=True)
-
-    df2["Date + Desc"]=df2['Publish Date'] + ".     News Description:"+ df2['Description']
-
-
-    
-    return df2
-    #df3.to_csv('Prothom_Alo_Description.txt',  index=False)
+def get_data(number):
+
+    
+    ##Necessary imports
+    from selenium import webdriver
+    from selenium.webdriver import chrome
+    from selenium.webdriver import ChromeOptions
+    options = ChromeOptions()
+    options.add_argument("enable-automation");
+    options.add_argument("--window-size=1920,1080");
+    options.add_argument("--no-sandbox");
+    options.add_argument("--disable-extensions");
+    options.add_argument("--dns-prefetch-disable");
+    options.add_argument("--disable-gpu");
+    options.add_argument("--headless=new")
+    driver = webdriver.Chrome(options=options)
+    ## Finding Elements by XPATH
+    from selenium.webdriver.common.by import By
+
+    driver.get("https://www.thedailystar.net/tags/road-accident")
+    
+    """
+    Browsing with browser open codes:
+    ##Necessary imports
+    from selenium import webdriver
+    from selenium.webdriver import chrome
+
+    driver = webdriver.Chrome()
+    ## Finding Elements by XPATH
+    from selenium.webdriver.common.by import By
+    driver.get("https://en.prothomalo.com/topic/Road-accident")
+   """ 
+    import time
+    news_list=[]
+    news_link=[]
+    publish_date=[]
+    for i in range(number):
+        #time.sleep(5)
+        if (i+1)!=0 and (i+1)%10==0:
+            last_height = driver.execute_script("return document.body.scrollHeight")
+            driver.execute_script(f"window.scrollTo(0, {last_height-950})")
+            driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[5]/div/div/div[1]/div/div[2]/ul/li/a').click()
+            time.sleep(10)
+        txt=driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[5]/div/div/div[1]/div/div[1]/div[{i+1}]/div[2]/div[2]/div[2]/h3/a')
+        publish_date.append(driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[5]/div/div/div[1]/div/div[1]/div[{i+1}]/div[2]/div[1]').text)
+        news_list.append(txt.text)
+        news_link.append(txt.get_attribute("href"))   
+
+
+
+    #### Converting the list to a pandas dataframe by converting the list to a dictionary  ###
+    dict={'News Title':news_list,'News Link':news_link,'Publish Date':publish_date}
+    import pandas as pd
+    df=pd.DataFrame(dict)
+
+
+    ############################################### Description Exctraction #################################################
+    from newspaper import Article
+
+
+    text=[]
+    for i in range(len(df)):
+        url = df['News Link'][i]
+        article = Article(url)
+        article.download()
+        article.parse()
+        
+        text.append(article.text)
+
+    df2=df.assign(Description=text)
+
+
+    for p in range(len(df2)):
+        if df2['Publish Date'][p]=="Not available":
+            df2.drop([p],inplace=True)
+    #df2.reset_index()
+
+    df2.reset_index(drop=True,inplace=True)
+
+    df2["Date + Desc"]=df2['Publish Date'] + ".     News Description:"+ df2['Description']
+
+
+    
+    return df2
+    #df3.to_csv('Prothom_Alo_Description.txt',  index=False)