Update Daily_Star_fully_scraped.py

Daily_Star_fully_scraped.py

@@ -1,92 +1,92 @@
-def get_data(number):
-    print("Running Daily_Star_Fully_Scraped")
-    ##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)
-    # Set a timeout for the page to load (in seconds)
-    driver.set_page_load_timeout(10)  # Limit page loading time to 10 seconds
-
-    ## Finding Elements by XPATH
-    from selenium.webdriver.common.by import By
-    driver.get("https://www.thedailystar.net/news/bangladesh/accidents-fires")
-    ### Extracting first 8 news seperately
-    import time
-    news_list=[]
-    news_link=[]
-    for i in range(2,10):
-        txt=driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[1]/div/div/div/div[{i}]/div/div/h3/a')
-        news_list.append(txt.text)
-        news_link.append(txt.get_attribute("href")) 
-    # Rest of the News_title and news link extraction
-    number2=number-8
-    import time
-    if number2>0:
-        for i in range(number2):
-            #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[3]/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[3]/div/div/div[1]/div/div[1]/div[{i+1}]/div[2]/h3/a')
-            news_list.append(txt.text)
-            news_link.append(txt.get_attribute("href")) 
-    ###### Scraping Publish Date ######
-
-    publish_date=[]
-    for i in range (len(news_link)):
-        try:
-            driver.get(news_link[i])
-        except:
-            time.sleep(30)
-            driver.get(news_link[i])
-        time.sleep(3)
-        driver.execute_script("window.stop();")
-        try:
-            publish_date.append(driver.find_element('xpath','/html/body/div[3]/div[2]/div/div/div[2]/main/div/div[2]/div[1]/div[2]/div/div[1]/div[1]/div/div/div[1]/div[2]/div[2]').text)
-        except:
-            publish_date.append("Not available")
-    #### 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)
-    if(number <=8 ):
-        df = df.head(number)
-
-    ############################################### Description Exctraction #################################################
-    print('Description Extraction Started')
-    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
-   
+def get_data(number):
+    print("Running Daily_Star_Fully_Scraped")
+    ##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)
+    # Set a timeout for the page to load (in seconds)
+    driver.set_page_load_timeout(10)  # Limit page loading time to 10 seconds
+
+    ## Finding Elements by XPATH
+    from selenium.webdriver.common.by import By
+    driver.get("https://www.thedailystar.net/news/bangladesh/accidents-fires")
+    ### Extracting first 8 news seperately
+    import time
+    news_list=[]
+    news_link=[]
+    for i in range(2,10):
+        txt=driver.find_element('xpath',f'/html/body/div[3]/div/div/div/div[2]/main/div/div[2]/div/div[1]/div/div/div/div[{i}]/div/div/h3/a')
+        news_list.append(txt.text)
+        news_link.append(txt.get_attribute("href")) 
+    # Rest of the News_title and news link extraction
+    number2=number-8
+    import time
+    if number2>0:
+        for i in range(number2):
+            #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[3]/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[3]/div/div/div[1]/div/div[1]/div[{i+1}]/div[2]/h3/a')
+            news_list.append(txt.text)
+            news_link.append(txt.get_attribute("href")) 
+    ###### Scraping Publish Date ######
+
+    publish_date=[]
+    for i in range (len(news_link)):
+        try:
+            driver.get(news_link[i])
+        except:
+            time.sleep(30)
+            driver.get(news_link[i])
+        time.sleep(3)
+        driver.execute_script("window.stop();")
+        try:
+            publish_date.append(driver.find_element('xpath','/html/body/div[3]/div[2]/div/div/div[2]/main/div/div[2]/div[1]/div[2]/div/div[1]/div[1]/div/div/div[1]/div[2]/div[2]').text)
+        except:
+            publish_date.append("Not available")
+    #### 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)
+    if(number <=8 ):
+        df = df.head(number)
+
+    ############################################### Description Exctraction #################################################
+    print('Description Extraction Started')
+    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
+