metadata/down_metadata.py

from curl_cffi import requests
import json
from concurrent.futures import ThreadPoolExecutor, as_completed
from tqdm.rich import tqdm

# 定义爬取函数
def fetch_url(page):
    url = f"https://yande.re/post.json?limit=100&page={page}"
    response = requests.get(url, impersonate="chrome110")
    # 检查请求是否成功
    if response.status_code == 200:
        return response.json()
    else:
        print(f"Failed to retrieve data from {url}")
        return None

# 定义保存为 JSON 的函数
def save_json(data, page,):
    if data:
        with open(f"jsonpart/page_{page}.json", 'w', encoding='utf-8') as f:
            json.dump(data, f, ensure_ascii=False, indent=4)

# 使用 ThreadPoolExecutor 创建线程池来并发爬取
def main():
    bar = tqdm(total=25000)
    pages = range(25001) # 0 到 25000 页
    # 设置线程池的最大线程数，例如此处设置为 20
    with ThreadPoolExecutor(max_workers=20) as executor:
        # 创建 future 到 URL 的映射
        future_to_url = {executor.submit(fetch_url, page): page for page in pages}
        # 等待线程完成
        for future in as_completed(future_to_url):
            page = future_to_url[future]
            data = future.result()
            save_json(data, page)
            bar.update(1)

if __name__ == "__main__":
    main()