我想做一个大数据技术毕设：内容爬取豆瓣页面电影数据使用Edge浏览器，连接MySQL数据库具体代码

做这样一个大数据技术的毕设项目，你可以按照以下步骤编写代码：

首先，你需要安装必要的库，如Selenium用于浏览器自动化，requests或BeautifulSoup用于爬取HTML，以及pymysql处理MySQL数据库交互。

# 导入库
import requests
from bs4 import BeautifulSoup
import pymysql

# 连接数据库
def connect_mysql():
    db_config = {
        'host': 'localhost',
        'user': 'your_username',
        'password': 'your_password',
        'database': 'douban_movie'
    }
    try:
        conn = pymysql.connect(**db_config)
        return conn
    except Exception as e:
        print(f"Error connecting to MySQL: {e}")
        return None

# 爬取页面
def crawl_douban(url):
    response = requests.get(url)
    if response.status_code == 200:
        soup = BeautifulSoup(response.content, 'lxml')
        # 根据HTML结构解析电影信息
        movie_data = parse_html(soup)  # 自定义函数来解析HTML
        return movie_data
    else:
        print(f"Failed to fetch page, status code: {response.status_code}")

# 解析HTML
def parse_html(soup):
    # 示例：查找class为'movie_item'的电影信息
    movies = soup.find_all('div', class_='movie_item')
    data = []
    for movie in movies:
        title = movie.find('h3').text
        rating = movie.find('span', class_='rating_num').text
        link = movie.find('a')['href']
        data.append({'title': title, 'rating': rating, 'link': link})
    return data

# 将数据存入数据库
def store_to_db(movie_data, conn):
    if conn:
        try:
            with conn.cursor() as cursor:
                for movie in movie_data:
                    insert_sql = """
                        INSERT INTO movie_table(title, rating, link) 
                        VALUES (%s, %s, %s)
                    """
                    cursor.execute(insert_sql, movie.values())
            conn.commit()
            print("Data stored successfully.")
        except Exception as e:
            print(f"Error storing data: {e}")
        finally:
            conn.close()

if __name__ == "__main__":
    url = "https://movie.douban.com/top250"
    db_conn = connect_mysql()
    if db_conn:
        movies = crawl_douban(url)
        store_to_db(movies, db_conn)

在这个例子中，你需要根据豆瓣电影页面的实际HTML结构来定制`parse_html`函数。同时，记得替换`connect_mysql`函数中的数据库连接信息。运行这个脚本时，注意检查网络状况和页面结构的变化，因为网页可能会有所改动。