The second value of every row is a link to a webpage, such as "https://www.phin.org.uk/profiles/consultants/mr-john-payne-30738%27". Extend the code so that it scrapes every webpage for a profile photo. Then, get the image and store it in an SQL database under a VARBINARY column, using the first value as the key.
Here's an example of how you can modify the code to scrape the profile photo from each webpage and store it in an SQL database:
```
import pandas as pd
import requests
from bs4 import BeautifulSoup
import sqlite3

# Load the CSV file
df = pd.read_csv('data.csv')

# Create a connection to the SQLite database
conn = sqlite3.connect('profiles.db')
cursor = conn.cursor()

# Create a table to store the profile photos
cursor.execute('''
    CREATE TABLE IF NOT EXISTS profiles (
        id INTEGER PRIMARY KEY,
        photo VARBINARY
    )
''')

# Iterate over each row in the CSV file
for index, row in df.iterrows():
    # Extract the link to the webpage
    link = row[1]

    # Send a request to the webpage and get the HTML response
    response = requests.get(link)
    html = response.content

    # Parse the HTML using BeautifulSoup
    soup = BeautifulSoup(html, 'html.parser')

    # Find the profile photo on the webpage
    img_tag = soup.find('img', {'class': 'profile-photo'})  # adjust the class name as needed
    if img_tag:
        img_url = img_tag['src']

        # Send a request to the image URL and get the image data
        img_response = requests.get(img_url)
        img_data = img_response.content

        # Store the image data in the database
        cursor.execute('''
           
 To accomplish this task, you will need to use a web scraping library such as BeautifulSoup to scrape the profile pages for the image URLs, and the sqlite3 library to store the image data in an SQL database. Here's an example of how you could modify the code to accomplish this:

```python
import requests
from bs4 import BeautifulSoup
import sqlite3

# Connect to the SQL database
conn = sqlite3.connect('profiles.db')
c = conn.cursor()

# Create a table to store the profiles
c.execute('''CREATE TABLE IF NOT EXISTS profiles (id INTEGER PRIMARY KEY, image VARBINARY)''')

# List of consultants
consultants = [
    ("Mr John Payne", "https://www.phin.org.uk/profiles/consultants/mr-john-payne-30738'"),
    # ...
]

for consultant in consultants:
    # Make a request to the consultant's profile page
    page = requests.get(consultant[1])
    soup = BeautifulSoup(page.content, 'html.parser')

    # Find the profile picture
    img = soup.find("img", class_="profile-picture")
    if img: