Professor Information Scraper机器人

import requests
from bs4 import BeautifulSoup

# Base URL for the database of MIT CS professors
base_url = "https://www.eecs.mit.edu/"

# Make a request to the database of MIT CS professors
response = requests.get(base_url, verify=True)

# Check if the request was successful
if response.status_code == 200:
    # Parse the HTML content of the page
    soup = BeautifulSoup(response.text, "html.parser")

    # Find the elements containing the professor information
    professor_elements = soup.find_all("div", class_="views-row")

    # Loop through the professor elements and extract their information
    for i, professor in enumerate(professor_elements):
        if i == 30:
            break

        name = professor.find("h2").text
        email = professor.find("a", class_="email").text
        area_of_interest = professor.find("div", class_="field-name-field-research-areas").text

        # Store the information for each professor in a dictionary
        professor_dict = {
            "name": name,
            "email": email,
            "area_of_interest": area_of_interest
        }

        # Append the dictionary to a list
        professor_info.append(professor_dict)

# If the request was not successful, print an error message
else:
    print("Failed to retrieve data from the website.")

# Print the list of dictionaries
print(professor_info)

为什么代码无法从网站检索数据？这是一个剪贴器，它可以访问麻省理工学院的教授数据库，收集他们的电子邮件、姓名和电子邮件机器人感兴趣的区域，但剪贴器无法在atm机上工作。