小微助手

微信推出的一款专注于提升桌面效率的助手型AI工具

52

查看详情

import requests import json import re # For parsing JSONP  def fetch_dermnet_images_from_api(query_term, start_index=1, num_results=16):     """     从Dermnet网站的Google CSE API抓取图片信息。     :param query_term: 搜索关键词。     :param start_index: 结果的起始索引（用于分页）。     :param num_results: 每页返回结果的数量。     :return: 包含图片信息的列表。     """     base_url = "https://cse.google.com/cse/element/v1"      # 根据网络请求观察到的参数构建     params = {         "rsz": "large",         "num": num_results,         "hl": "en",         "source": "gcsc",         "gss": ".com",         "cselibv": "8e77c7877b8339e2", # 注意: 此参数可能随时间变化，需定期检查         "searchtype": "image",         "cx": "015036873904746004277:nz7deehiccq",         "q": query_term,         "safe": "off",         "start": start_index, # 分页参数         "exp": "csqr,cc,bf",         "callback": "google.search.cse.api10440" # 保持此参数以获取JSONP格式     }      # 模拟浏览器User-Agent，避免被识别为爬虫     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"     }      images_data = []     try:         response = requests.get(base_url, params=params, headers=headers, timeout=10)         response.raise_for_status() # 如果请求失败（HTTP状态码非200），则抛出异常          # 解析JSONP响应         # 响应格式通常为 google.search.cse.apiXXXXX({...JSON_CONTENT...})         jsonp_content = response.text         match = re.search(r'^w+((.*))$', jsonp_content, re.DOTALL)         if match:             json_str = match.group(1)             data = json.loads(json_str)              if "results" in data:                 for item in data["results"]:                     if "image" in item:                         images_data.append({                             "title": item.get("title", "No Title"),                             "url": item["image"].get("src", ""),                             "thumbnail_url": item["image"].get("thumbnailSrc", ""),                             "width": item["image"].get("width", 0),                             "height": item["image"].get("height", 0)                         })         else:             print(f"Error: Could not parse JSONP response for query '{query_term}'.")             print(f"Raw response start: {jsonp_content[:200]}...")      except requests.exceptions.RequestException as e:         print(f"Network or HTTP error for query '{query_term}': {e}")     except json.JSONDecodeError as e:         print(f"JSON decoding error for query '{query_term}': {e}")     except Exception as e:         print(f"An unexpected error occurred for query '{query_term}': {e}")      return images_data  # 示例用法： if __name__ == "__main__":     search_query = "basal cell carcinoma dermoscopy"      print(f"--- 抓取第一页 '{search_query}' 的图片 ---")     first_page_images = fetch_dermnet_images_from_api(search_query, start_index=1, num_results=16)     if first_page_images:         print(f"第一页共找到 {len(first_page_images)} 张图片。")         for i, img in enumerate(first_page_images[:3]): # 只打印前3张示例             print(f"  {i+1}. 标题: {img['title']}, URL: {img['url']}")     else:         print("未找到第一页图片或发生错误。")      print(f"n--- 抓取第二页 '{search_query}' 的图片 ---")     # 假设每页16张，第二页从索引17开始     second_page_images = fetch_dermnet_images_from_api(search_query, start_index=17, num_results=16)     if second_page_images:         print(f"第二页共找到 {len(second_page_images)} 张图片。")         for i, img in enumerate(second_page_images[:3]): # 只打印前3张示例             print(f"  {i+1}. 标题: {img['title']}, URL: {img['url']}")     else:         print("未找到第二页图片或发生错误。")