add some scripts.

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2025-03-02 15:27:53 +08:00
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"""
Script Name:
Description: 从 https://www.iafd.com 上获取信息。利用cloudscraper绕过cloudflare
detail_fetch.py 从本地已经保存的列表数据,逐个拉取详情,并输出到文件。
list_fetch_astro.py 按照星座拉取数据,获得演员的信息列表。数据量适中,各详细字段较全
list_fetch_birth.py 按照生日拉取数据,获得演员的信息列表。数据量适中,各详细字段较全
list_fetch_ethnic.py 按照人种拉取数据,获得演员的信息列表。数据量大,但详细字段很多无效的
list_merge.py 上面三个列表的数据,取交集,得到整体数据。
iafd_scrape.py 借助 https://github.com/stashapp/CommunityScrapers 实现的脚本,可以输入演员的 iafd链接,获取兼容 stashapp 格式的数据。(作用不大,因为国籍、照片等字段不匹配)
html_format.py 负责读取已经保存的html目录, 提取信息,格式化输出。
data_merge.py 负责合并数据,它把从 iafd, javhd, thelordofporn 以及搭建 stashapp, 从上面更新到的演员数据(需导出)进行合并;
stashdb_merge.py 负责把从stashapp中导出的单个演员的json文件, 批量合并并输出; 通常我们需要把stashapp中导出的批量文件压缩并传输到data/tmp目录,解压后合并
从而获取到一份完整的数据列表。
Author: [Your Name]
Created Date: YYYY-MM-DD
Last Modified: YYYY-MM-DD
Version: 1.0
Modification History:
- YYYY-MM-DD [Your Name]:
- YYYY-MM-DD [Your Name]:
- YYYY-MM-DD [Your Name]:
"""
import cloudscraper
import json
import time
import csv
from bs4 import BeautifulSoup
import logging
import config
config.setup_logging()
# 定义基础 URL 和可变参数
host_url = "https://www.iafd.com"
base_url = f"{host_url}/distrib.rme/distrib="
dist_list_url = f'{base_url}/distrib.asp'
distr_map = {
6812 : 'nubilefilms.com',
8563 : 'teenmegaworld network',
6779 : 'x-art.com',
7133 : 'tushy.com',
6496 : 'blacked.com',
7758 : 'vixen.com',
6791 : 'teamskeet.com',
12454: 'vip4k.com',
13541: 'wow network',
9702 : 'cum4k.com',
6778 : 'tiny4k.com',
12667: 'anal4k.com',
7419 : 'exotic4k.com',
13594: 'facials4k.com',
13633: 'mom4k.com',
12335: 'slim4k.com',
16709: 'strippers4k.com',
}
# 设置 headers 和 scraper
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
scraper = cloudscraper.create_scraper()
# 结果路径
res_dir = './result'
all_data = []
# 网络请求并解析 HTML
def fetch_page(url):
try:
response = scraper.get(url, headers=headers)
response.raise_for_status()
return response.text
except Exception as e:
logging.error(f"Failed to fetch {url}: {e}")
return None
# 解析 HTML 内容,提取需要的数据
def parse_page(html, name):
soup = BeautifulSoup(html, "html.parser")
table = soup.find("table", id="distable")
if not table:
logging.warning(f"Warning: No 'distable' table found in {name}")
return None
# 找到thead并跳过
thead = table.find('thead')
if thead:
thead.decompose() # 去掉thead部分不需要解析
# 现在只剩下tbody部分
tbody = table.find('tbody')
rows = tbody.find_all('tr') if tbody else []
global all_data
for row in rows:
cols = row.find_all('td')
if len(cols) >= 5:
title = cols[0].text.strip()
label = cols[1].text.strip()
year = cols[2].text.strip()
rev = cols[3].text.strip()
a_href = cols[0].find('a')
href = host_url + a_href['href'] if a_href else ''
all_data.append({
'distributors': name,
'title': title,
'label': label,
'year': year,
'rev': rev,
'href': href
})
return soup
# 处理翻页,星座的无需翻页
def handle_pagination(soup, astro):
return None
# 获取列表页
def process_list_gage():
global distr_map
logging.info(f"Fetching data for {dist_list_url} ...")
select_element = None
while True:
html = fetch_page(dist_list_url)
if html:
soup = BeautifulSoup(html, "html.parser")
select_element = soup.find('select', {'name': 'Distrib'})
if select_element :
break
else:
logging.info(f"wrong html content. retring {dist_list_url} ...")
else:
logging.info(f"wrong html content. retring {dist_list_url} ...")
if not select_element:
return None
options = select_element.find_all('option')
for option in options:
value = option.get('value') # 获取 value 属性
text = option.text.strip() # 获取文本内容
distr_map[int(value)] = text
logging.info(f'fetch {dist_list_url} succ. total distributors: {len(distr_map)}')
return True
# 主逻辑函数:循环处理每个种族
def process_main_data():
for dis_key, dis_name in distr_map.items():
url = base_url + str(dis_key)
next_url = url
logging.info(f"Fetching data for {dis_name}, url {url} ...")
while next_url:
html = fetch_page(next_url)
if html:
soup = parse_page(html, dis_name)
if soup:
next_url = handle_pagination(soup, dis_name)
else:
logging.info(f"wrong html content. retring {next_url} ...")
# 定期保存结果
save_data()
time.sleep(2) # 控制访问频率
else:
logging.info(f"Retrying {next_url} ...")
time.sleep(5) # 等待后再重试
# 保存到文件
def save_data():
with open(f'{res_dir}/distributors.json', 'w', encoding='utf-8') as json_file:
json.dump(all_data, json_file, indent=4, ensure_ascii=False)
with open(f'{res_dir}/distributors.csv', 'w', newline='', encoding='utf-8') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=['distributors', 'title', 'label', 'year', 'rev', 'href'])
writer.writeheader()
writer.writerows(all_data)
# 执行主逻辑
if __name__ == '__main__':
#process_list_gage()
process_main_data()
save_data()
logging.info("Data fetching and saving completed.")