Delete Dhaka_Tribune_Fully_Scraped.py

Dhaka_Tribune_Fully_Scraped.py

@@ -1,69 +0,0 @@
-def get_data(number):
-    # Dhaka Tribnune implement
-    ##Necessary imports
-    from selenium import webdriver
-    from selenium.webdriver import chrome
-    from selenium.webdriver import ChromeOptions
-    import math
-    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.setPageLoadStrategy(PageLoadStrategy.NORMAL);
-    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.dhakatribune.com/topic/road-accident")
-
-    #### Scraping News Title and News Link ####
-    import time
-    news_list=[]
-    news_link=[]
-    publish_date=[]
-    row_counter=0
-    news_counter=0
-    for i in range(number):
-        if i==0:
-            row_counter=1
-        else:
-            row_counter=math.ceil(i/4)
-        news_counter=i%4+1
-        #time.sleep(5)
-        if (i+1)!=0 and (i+1)%20==0:
-            last_height = driver.execute_script("return document.body.scrollHeight")
-            driver.execute_script(f"window.scrollTo(0, {last_height})")
-            driver.find_element('xpath',f'/html/body/div[3]/div/div[2]/div/div/div[2]/div/div/div/div[2]/div/div[2]/button').click()
-            time.sleep(10)
-        txt=driver.find_element('xpath',f'/html/body/div[3]/div/div[2]/div/div/div[2]/div/div/div/div[2]/div/div[1]/div[{row_counter}]/div[{news_counter}]/div/div[2]/div/div/div/h2/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[1]').text)
-        news_list.append(txt.text)
-        news_link.append(txt.get_attribute("href")) 
-
-    # Goose3 extraction
-    for i in range(len(news_link)):
-        from deep_translator import GoogleTranslator
-        from goose3 import Goose
-        from datetime import datetime
-        g = Goose()
-        description=[]
-        News_title=[]
-        publish_date=[]
-        for i in range(len(news_link)):
-            article = g.extract(url=news_link[i])
-            News_title.append(article.title)
-            description.append(article.cleaned_text)
-            publish_date.append(article.publish_date)
-    # Convert the dates to "day-month-year" format
-    formatted_dates = [datetime.fromisoformat(date).strftime('%d-%m-%Y') for date in publish_date]
-
-    #### Converting the list to a pandas dataframe by converting the list to a dictionary  ###
-    dict={'News Title':News_title,'News Link':news_link,'Publish Date':formatted_dates, 'Description':description}
-    import pandas as pd
-    df=pd.DataFrame(dict)
-    return df