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main.py
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import requests
import csv
import os
import json
from pymysql import connect
from lxml import etree
import pandas as pd
from sqlalchemy import create_engine
DB_CONFIG = {
"host": "localhost",
"user": "root",
"password": "123456",
"database": "db_douban",
"port": 3306,
"charset": "utf8mb4",
}
PAGE_PROGRESS_FILE = "page_progress.json"
MOVIE_TYPES = ["剧情", "喜剧", "动作", "爱情"]
engine = create_engine("mysql+pymysql://root:123456@127.0.0.1:3306/db_douban")
class Spider:
def __init__(self):
self.movie_page_url = "https://m.douban.com/rexxar/api/v2/movie/recommend?"
self.movie_detail_url = "https://movie.douban.com/subject/{}/"
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36",
"Referer": "https://movie.douban.com/explore",
}
self.movie_types = MOVIE_TYPES
self.page_progress = {}
def init(self):
if not os.path.exists("movie_data.csv"):
with open("movie_data.csv", "w", newline="", encoding="utf-8") as writer_f:
writer = csv.writer(writer_f)
writer.writerow(
[
"id",
"title",
"year",
"directors",
"casts",
"rating",
"cover",
"country",
"summary",
"types",
"lang",
"release_date",
"time",
"url",
]
)
def load_page_progress(self):
if os.path.exists(PAGE_PROGRESS_FILE):
with open(PAGE_PROGRESS_FILE, "r", encoding="utf-8") as f:
self.page_progress = json.load(f)
def save_page_progress(self):
with open(PAGE_PROGRESS_FILE, "w", encoding="utf-8") as f:
json.dump(self.page_progress, f, ensure_ascii=False)
def get_movie_pages(self, type_name, max_pages=1):
for page in range(self.page_progress.get(type_name, 1), max_pages+1):
print('第{}页:'.format(page))
params = {"start": (page - 1) * 20, "tags": type_name}
try:
respJson = requests.get(self.movie_page_url, headers=self.headers, params=params).json()
movie_list = respJson["items"]
for m in movie_list:
if m["type"] == "movie":
self.process_movie(m)
self.page_progress[type_name] = page+1
# 记录页面进度
self.save_page_progress()
except Exception as e:
print(f"处理:{type_name}第{page}页失败: {e}")
break
def process_movie(self, movie):
movie_data = []
movie_data.append(movie["id"])
movie_data.append(movie["title"])
movie_data.append(movie["year"])
movie_detail_response = requests.get(self.movie_detail_url.format(movie["id"]), headers=self.headers)
path = etree.HTML(movie_detail_response.text)
# 导演
movie_data.append(",".join(path.xpath('//a[@rel="v:directedBy"]/text()')))
# 主演
movie_data.append(",".join(path.xpath('//a[@rel="v:starring"]/text()')))
# 评分
movie_data.append(path.xpath('//strong[@property="v:average"]/text()')[0])
# 封面
movie_data.append(path.xpath('//img[@rel="v:image"]/@src')[0])
# 国家
movie_data.append(path.xpath('//span[contains(text(),"制片国家")]/following-sibling::br[1]/preceding-sibling::text()[1]')[0])
# 摘要
movie_data.append(path.xpath('//span[@property="v:summary"]/text()')[0].strip())
# 类型
movie_data.append(",".join(path.xpath('//div[@id="info"]/span[@property="v:genre"]/text()')))
# 语言
movie_data.append(path.xpath('//span[contains(text(),"语言")]/following-sibling::br[1]/preceding-sibling::text()[1]')[0])
# 上映日期
movie_data.append(path.xpath('//span[@property="v:initialReleaseDate"]/text()')[0][:10])
# 时长
movie_data.append(path.xpath('//span[@property="v:runtime"]/text()')[0])
# url
movie_data.append(self.movie_detail_url.format(movie["id"]))
self.save_to_csv(movie_data)
def save_to_csv(self, row):
with open("movie_data.csv", "a", newline="", encoding="utf-8") as f:
writer = csv.writer(f)
writer.writerow(row)
def clean_csv(self):
print("清理数据......")
df = pd.read_csv("movie_data.csv", encoding="utf-8")
df.drop_duplicates(subset=["id"], keep="first", inplace=True)
print("存储到数据库......")
df.to_sql("tb_movie", con=engine, index=False, if_exists="append")
def run(self):
self.init()
self.load_page_progress()
for type_name in self.movie_types:
print(f"获取分类: {type_name}")
self.get_movie_pages(type_name)
# 请求结束后,清空页面进度
# self.page_progress = {}
# self.save_page_progress()
self.clean_csv()
if __name__ == "__main__":
spider = Spider()
spider.run()