python scrape_election_results.py


### scrape_election_results.py

Here's the complete Python script for scraping the election results and saving them to a CSV file:

```python
import requests
from bs4 import BeautifulSoup
import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.by import By
import time

def scrape_with_bs4():
    url = "https://results.eci.gov.in/pcresults.htm"  # Update with the correct URL
    response = requests.get(url)
    soup = BeautifulSoup(response.content, "html.parser")
    table = soup.find("table", {"id": "datatable"})

    if table is None:
        print("Table not found. Here is the HTML:")
        print(soup.prettify())
    else:
        data = []
        headers = [th.text.strip() for th in table.find_all("th")]
        data.append(headers)

        for row in table.find_all("tr")[1:]:
            cols = row.find_all("td")
            cols = [ele.text.strip() for ele in cols]
            data.append(cols)

        df = pd.DataFrame(data[1:], columns=data[0])
        df.to_csv("election_results.csv", index=False)
        print("Data saved to election_results.csv")

def scrape_with_selenium():
    driver_path = 'path/to/chromedriver'  # Change to the path where your chromedriver is located
    driver = webdriver.Chrome(driver_path)
    url = "https://results.eci.gov.in/pcresults.htm"  # Update with the correct URL
    driver.get(url)

    time.sleep(10)  # Adjust the sleep time as needed

    table = driver.find_element(By.ID, "datatable")

    data = []
    headers = [th.text.strip() for th in table.find_elements(By.TAG_NAME, "th")]
    data.append(headers)

    rows = table.find_elements(By.TAG_NAME, "tr")[1:]  # Skip header row
    for row in rows:
        cols = row.find_elements(By.TAG_NAME, "td")
        cols = [ele.text.strip() for ele in cols]
        data.append(cols)

    df = pd.DataFrame(data[1:], columns=data[0])
    df.to_csv("election_results.csv", index=False)
    driver.quit()
    print("Data saved to election_results.csv")

# Uncomment one of the following lines to use the respective scraping method
# scrape_with_bs4()
# scrape_with_selenium()