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filminfospider.py
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import requests
import time
import random
import re
import json
import bs4
head = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36'}
find_name = re.compile(r'<h1.*?>(.*?)</h1>')
find_year = re.compile(r'<p class="db_year".*?>\(<a.*?>(\d.*?)</a>\)')
find_enname = re.compile(r'<p class="db_enname".*?>(.*?)</p>')
find_img = re.compile(r'<img.*?src="(.*?)"/></a>')
find_url = re.compile(r'<a href="(.*?)">')
find_plot = re.compile(r'<p>\s*<span class="first_letter">(.*?)</span>(.*?)</p>')
find_ppl_id = re.compile(r'<h3><a href="http://people.mtime.com/(\d*)/"')
find_comment = re.compile(r'<div.*?tweetid=.*?\n?<h3>(.*?)</h3>')
find_ppl_name = re.compile(r'<h2.*?>(.*?)</h2>')
find_ppl_enname = re.compile(r'<p class="enname".*?>(.*?)</p>')
find_photo = re.compile(r'<img.*?src="(.*?)".*?>')
def main():
file = open("urls.txt", mode='r')
film_list = []
ppl_list = []
lines = file.readlines()
film_count = 0
for url in lines[:1000]:
film_count = film_count + 1
print("requesting film " + str(film_count) + " at " + url)
film_id = re.sub('\D', '', url)
doc_response = requests.get(url, headers=head).text
doc_soup = bs4.BeautifulSoup(doc_response, "html.parser")
name_info = doc_soup.find('div', {"pan": "M14_Movie_Overview_Name"}) # 找name组件
name_info = str(name_info)
film_name = ""
result = re.findall(find_name, name_info)
if result:
film_name = result[0]
film_year = ""
result = re.findall(find_year, name_info)
if result:
film_year = result[0]
film_enname = ""
result = re.findall(find_enname, name_info)
if result:
film_enname = result[0]
# print(film_name)
# print(film_year)
# print(film_enname)
cover_info = doc_soup.find('div', {"pan": "M14_Movie_Overview_Cover"}) # 找cover组件
cover_info = str(cover_info)
film_poster = ""
result = re.findall(find_img, cover_info)
if result:
film_poster = result[0]
# print(film_poster)
plot_info = doc_soup.find('dt', {"pan": "M14_Movie_Overview_PlotsSummary"}) # 找plotssummary组件
plot_info = str(plot_info)
plot_url = "http://movie.mtime.com/" + str(film_id) + "/plots.html"
plot_response = requests.get(plot_url, headers=head).text
plot_soup = bs4.BeautifulSoup(plot_response, "html.parser")
plot_sum = plot_soup.find('div', class_="plots_box") # 找第一个plot box
plot_sum = str(plot_sum)
result = re.findall(find_plot, plot_sum)
if result:
film_plot = result[0]
film_plot = film_plot[0] + film_plot[1]
film_plot = re.sub('<.*?>', r'', film_plot)
# print(film_plot)
more_actor = doc_soup.find('p', {"pan": "M14_Movie_Overview_Actor_More"}) # 找更多演员
more_actor = str(more_actor)
actor_ids = []
result = re.findall(find_url, more_actor)
if result:
cast_url = result[0]
cast_response = requests.get(cast_url, headers=head).text
cast_soup = bs4.BeautifulSoup(cast_response, "html.parser")
actor_info = cast_soup.find_all('div', class_="db_actor")
actor_info = str(actor_info)
actor_ids_all = re.findall(find_ppl_id, actor_info)
actor_ids = actor_ids_all[:10]
# print(actor_ids)
comment_area = doc_soup.find_all('dl', {"pan": "M14_Movie_Overview_ShortReview_List"})
comment_area = str(comment_area)
short_comments_all = re.findall(find_comment, comment_area)
short_comments = short_comments_all[:5]
# print(short_comments)
# 写入film_list
film_dic = {"id": film_id,
"name": film_name,
"enname": film_enname,
"year": film_year,
"poster": film_poster,
"actors": actor_ids,
"plot": film_plot,
"comments": short_comments}
film_list.append(film_dic)
# 用actor_ids抓取actor，并每次判断是否已有此人，有则跳过
for id in actor_ids: # 记得改回去
flag = False
for actor in ppl_list:
if actor["id"] == id:
flag = True
break
if flag:
continue # 跳过已经有的人
ppl_url = "http://people.mtime.com/" + str(id) + "/"
ppl_response = requests.get(ppl_url, headers=head).text
ppl_soup = bs4.BeautifulSoup(ppl_response, "html.parser")
ppl_info = ppl_soup.find('div', class_="per_header") # 找人头
ppl_info = str(ppl_info)
ppl_name = ""
ppl_enname = ""
result = re.findall(find_ppl_name, ppl_info)
if result:
ppl_name = result[0]
result = re.findall(find_ppl_enname, ppl_info)
if result:
ppl_enname = result[0]
# print(ppl_name)
# print(ppl_enname)
photo_info = ppl_soup.find_all('div', {"pan": "M14_Person_Index_PersonCover"}) # 找照片
photo_info = str(photo_info)
ppl_photo = ""
result = re.findall(find_photo, photo_info)
if result:
ppl_photo = result[0]
# print(ppl_photo)
detail_url = ppl_url + "details.html"
detail_response = requests.get(detail_url, headers=head).text
detail_soup = bs4.BeautifulSoup(detail_response, "html.parser")
graphy_info = detail_soup.find('div', {"id": "lblAllGraphy"})
graphy_info = str(graphy_info)
graphy_info = re.sub('<.*?>', r'', graphy_info) # 去除html脚本部分
ppl_graphy = str(graphy_info)
# print(ppl_graphy)
# 写入ppl_list
ppl_dic = {"id": id,
"name": ppl_name,
"enname": ppl_enname,
"photo": ppl_photo,
"graphy": ppl_graphy}
ppl_list.append(ppl_dic)
time.sleep(random.random())
# print(film_list)
# print(ppl_list)
with open('filmlist.json', 'w', encoding="utf-8") as file:
file.write(json.dumps(film_list, indent=2, ensure_ascii=False))
with open('ppllist.json', 'w', encoding="utf-8") as file:
file.write(json.dumps(ppl_list, indent=2, ensure_ascii=False))
if __name__ == "__main__":
main()