python脚本批量导出ZEEKLOG里的文章
一 导出全部已发布文章
首先，需要在本地安装3.8版本以上的python，安装python步骤
检查是否安装成功
pip3 --version 安装后执行
pip3 install requests beautifulsoup4 markdownify 新建脚本，脚本名字随意，这里是：ZEEKLOG_downloader.py
脚本内容如下：
# -*- coding: utf-8 -*-import os import re import requests import time from bs4 import BeautifulSoup from markdownify import markdownify as md from urllib.parse import urlparse, unquote import hashlib from pathlib import Path # ================== 配置区 ================== ZEEKLOG_USERNAME ="qq_33417321"# ←←← 修改为你想下载的用户名 SAVE_DIR = Path("ZEEKLOG_articles")# 文章保存根目录（自动跨平台） HEADERS ={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36","Referer":"https://blog.ZEEKLOG.net/"}defsanitize_filename(name:str)->str:"""清理文件名，移除 Windows 非法字符和‘原创’字样""" name = name.replace("原创","").strip()# 移除 Windows 非法字符 name = re.sub(r'[\\/*?:"<>|\r\n]',"_", name)return name or"untitled"defget_article_list(username):"""获取博主文章列表（标题和URL）""" url =f"https://blog.ZEEKLOG.net/{username}/article/list" articles =[] page =1whileTrue: response = requests.get(f"{url}/{page}", headers=HEADERS) soup = BeautifulSoup(response.text,'html.parser') items = soup.select(".article-list .article-item-box")ifnot items:breakfor item in items: title_elem = item.select_one("h4 a")ifnot title_elem:continue title = title_elem.text.strip() link = title_elem["href"] articles.append({"title": title,"url": link}) page +=1 time.sleep(1)return articles defdownload_image(img_url, save_path: Path):"""下载单张图片到本地"""try: img_headers = HEADERS.copy() img_headers["Accept"]="image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8" response = requests.get(img_url, headers=img_headers, stream=True, timeout=30)if response.status_code ==200: save_path.parent.mkdir(parents=True, exist_ok=True)withopen(save_path,'wb')as f:for chunk in response.iter_content(chunk_size=8192):if chunk: f.write(chunk)returnTrueelse:print(f"图片下载失败（状态码：{response.status_code}）：{img_url}")returnFalseexcept Exception as e:print(f"图片下载异常：{img_url}，错误：{str(e)}")returnFalsedefget_image_extension(img_url):"""从URL中获取图片扩展名""" parsed_url = urlparse(img_url) path = parsed_url.path.lower() extensions =['.jpg','.jpeg','.png','.gif','.webp','.bmp','.svg']for ext in extensions:if ext in path:return ext return'.jpg'defprocess_images_in_content(content, article_title):"""处理内容中的图片，下载并替换为本地路径""" soup = BeautifulSoup(content,'html.parser') img_tags = soup.find_all('img')ifnot img_tags:return content # 清理文章标题用于路径 safe_title = sanitize_filename(article_title) global_image_dir = SAVE_DIR /"images" article_image_dir = global_image_dir / safe_title for img in img_tags: img_url = img.get('src','')ifnot img_url:continue# 处理协议相对路径if img_url.startswith('//'): img_url ='https:'+ img_url elifnot img_url.startswith(('http://','https://')):continue# 跳过无法处理的相对路径try: img_hash = hashlib.md5(img_url.encode()).hexdigest()[:8] img_ext = get_image_extension(img_url) img_filename =f"{img_hash}{img_ext}" local_img_path = article_image_dir / img_filename # Markdown 中使用正斜杠（/），兼容所有平台 md_img_path =f"./images/{safe_title}/{img_filename}"ifnot local_img_path.exists():print(f" 下载图片：{img_filename}")if download_image(img_url, local_img_path): img['src']= md_img_path else:print(f" 图片下载失败，保留原链接：{img_url}")else: img['src']= md_img_path except Exception as e:print(f" 处理图片时出错：{img_url}，错误：{str(e)}")continuereturnstr(soup)defdownload_article(url, article_title):"""下载单篇文章，处理图片后转为Markdown"""try: response = requests.get(url, headers=HEADERS, timeout=30) soup = BeautifulSoup(response.text,'html.parser') content = soup.select_one("article")ifnot content:print(f" 未找到文章内容")returnNone processed_content = process_images_in_content(str(content), article_title) markdown_content = md(processed_content)return markdown_content except Exception as e:print(f" 下载文章时出错：{str(e)}")returnNonedefsave_to_markdown(title, content, save_dir: Path):"""保存Markdown文件""" save_dir.mkdir(parents=True, exist_ok=True) safe_title = sanitize_filename(title) filename = save_dir /f"{safe_title}.md"withopen(filename,"w", encoding="utf-8")as f: f.write(f"# {title}\n\n") f.write(content)print(f" 已保存：{filename}")return filename if __name__ =="__main__":print("开始获取文章列表...") articles = get_article_list(ZEEKLOG_USERNAME)print(f"找到 {len(articles)} 篇文章") success_count =0 fail_count =0for i, article inenumerate(articles,1): title = article["title"] url = article["url"]print(f"\n[{i}/{len(articles)}] 处理文章：{title}") content = download_article(url, title)if content: save_to_markdown(title, content, SAVE_DIR) success_count +=1else:print(f" 文章下载失败：{title}") fail_count +=1 time.sleep(2)print(f"\n处理完成！成功：{success_count}篇，失败：{fail_count}篇")print(f"文章保存在：{SAVE_DIR.resolve()}")print("图片保存在：./images/ 目录下，Markdown文件可离线查看")其中，脚本里ZEEKLOG_USERNAME的值，改为你要获取的ZEEKLOG的用户名
获取用户名：点击作者头像后，链接里的这个值就是用户名（红框里的内容）
执行脚本
python ZEEKLOG_downloader.py 执行日志入下：
由于要下载ZEEKLOG文章里的图片，所以很慢，静静等待即可。下载过程中，会在脚本所在目录生成一个ZEEKLOG_articles文件夹，里边是md文件以及存md里的图片的文件夹。
二 导出指定日期后的文章
上边的脚本，一次性导出了所有已发布的文章，但是有时候我们的文章太多，每次备份不需要全部导出，只导出指定时间以后的文章，那么使用如下脚本即可，如脚本名为new.py，内容如下
# -*- coding: utf-8 -*-import os import re import requests import time from bs4 import BeautifulSoup from markdownify import markdownify as md from urllib.parse import urlparse, unquote import hashlib from pathlib import Path from datetime import datetime # ================== 配置区 ================== ZEEKLOG_USERNAME ="qq_33417321"# ←←← 修改为你想下载的用户名 SAVE_DIR = Path("ZEEKLOG_articles")# 文章保存根目录（自动跨平台）# ⬇️ 新增：设置最小发布日期（含） MIN_PUBLISH_DATE = datetime(2026,2,7)# 只下载 2026年2月1日及之后的文章 HEADERS ={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36","Referer":"https://blog.ZEEKLOG.net/"}defsanitize_filename(name:str)->str:"""清理文件名，移除 Windows 非法字符和‘原创’字样""" name = name.replace("原创","").strip() name = re.sub(r'[\\/*?:"<>|\r\n]',"_", name)return name or"untitled"defparse_publish_date(date_str:str)-> datetime |None:"""尝试解析 ZEEKLOG 日期字符串，支持 '2025-06-15 10:30:00' 或 '2025-06-15' 等""" date_str = date_str.strip()for fmt in["%Y-%m-%d %H:%M:%S",# 带秒，如 2025-06-15 10:30:09"%Y-%m-%d %H:%M",# 不带秒，如 2025-06-15 10:30"%Y-%m-%d"# 只有日期，如 2025-06-15]:try:return datetime.strptime(date_str, fmt)except ValueError:continueprint(f" 无法解析日期：{date_str}")returnNonedefget_article_list(username, min_date=None):"""获取博主文章列表（标题、URL、发布时间），可选按 min_date 过滤""" url =f"https://blog.ZEEKLOG.net/{username}/article/list" articles =[] page =1 early_stop =Falsewhilenot early_stop:print(f" 正在抓取第 {page} 页...") response = requests.get(f"{url}/{page}", headers=HEADERS) soup = BeautifulSoup(response.text,'html.parser') items = soup.select(".article-list .article-item-box")ifnot items:break current_page_has_valid =False# 当前页是否有满足条件的文章for item in items: title_elem = item.select_one("h4 a") date_elem = item.select_one(".date")# ZEEKLOG 通常用 .date 类表示发布时间ifnot title_elem:continue title = title_elem.text.strip() link = title_elem["href"] pub_date =Noneif date_elem: raw_date = date_elem.text.strip() pub_date = parse_publish_date(raw_date)# 如果设置了最小日期，且文章发布时间早于该日期，则跳过if min_date and pub_date and pub_date < min_date:continue# 如果发布时间未知但设置了 min_date，保守起见也跳过（或可选择保留）if min_date andnot pub_date:print(f" 警告：无法获取文章 [{title}] 的发布时间，跳过（因设置了日期过滤）")continue articles.append({"title": title,"url": link,"publish_date": pub_date }) current_page_has_valid =True# 如果当前页没有任何有效文章（全部早于 min_date），可提前终止if min_date andnot current_page_has_valid and page >1:print(" 后续页面文章均早于指定日期，停止翻页。") early_stop =True page +=1 time.sleep(1)return articles # ========== 以下函数保持不变 ==========defdownload_image(img_url, save_path: Path):try: img_headers = HEADERS.copy() img_headers["Accept"]="image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8" response = requests.get(img_url, headers=img_headers, stream=True, timeout=30)if response.status_code ==200: save_path.parent.mkdir(parents=True, exist_ok=True)withopen(save_path,'wb')as f:for chunk in response.iter_content(chunk_size=8192):if chunk: f.write(chunk)returnTrueelse:print(f"图片下载失败（状态码：{response.status_code}）：{img_url}")returnFalseexcept Exception as e:print(f"图片下载异常：{img_url}，错误：{str(e)}")returnFalsedefget_image_extension(img_url): parsed_url = urlparse(img_url) path = parsed_url.path.lower() extensions =['.jpg','.jpeg','.png','.gif','.webp','.bmp','.svg']for ext in extensions:if ext in path:return ext return'.jpg'defprocess_images_in_content(content, article_title): soup = BeautifulSoup(content,'html.parser') img_tags = soup.find_all('img')ifnot img_tags:return content safe_title = sanitize_filename(article_title) global_image_dir = SAVE_DIR /"images" article_image_dir = global_image_dir / safe_title for img in img_tags: img_url = img.get('src','')ifnot img_url:continueif img_url.startswith('//'): img_url ='https:'+ img_url elifnot img_url.startswith(('http://','https://')):continuetry: img_hash = hashlib.md5(img_url.encode()).hexdigest()[:8] img_ext = get_image_extension(img_url) img_filename =f"{img_hash}{img_ext}" local_img_path = article_image_dir / img_filename md_img_path =f"./images/{safe_title}/{img_filename}"ifnot local_img_path.exists():print(f" 下载图片：{img_filename}")if download_image(img_url, local_img_path): img['src']= md_img_path else:print(f" 图片下载失败，保留原链接：{img_url}")else: img['src']= md_img_path except Exception as e:print(f" 处理图片时出错：{img_url}，错误：{str(e)}")continuereturnstr(soup)defdownload_article(url, article_title):try: response = requests.get(url, headers=HEADERS, timeout=30) soup = BeautifulSoup(response.text,'html.parser') content = soup.select_one("article")ifnot content:print(f" 未找到文章内容")returnNone processed_content = process_images_in_content(str(content), article_title) markdown_content = md(processed_content)return markdown_content except Exception as e:print(f" 下载文章时出错：{str(e)}")returnNonedefsave_to_markdown(title, content, save_dir: Path): save_dir.mkdir(parents=True, exist_ok=True) safe_title = sanitize_filename(title) filename = save_dir /f"{safe_title}.md"withopen(filename,"w", encoding="utf-8")as f: f.write(f"# {title}\n\n") f.write(content)print(f" 已保存：{filename}")return filename # ========== 主程序入口 ==========if __name__ =="__main__":print("开始获取文章列表...") articles = get_article_list(ZEEKLOG_USERNAME, min_date=MIN_PUBLISH_DATE)print(f"找到 {len(articles)} 篇符合条件的文章（发布日期 ≥ {MIN_PUBLISH_DATE.strftime('%Y-%m-%d')}）") success_count =0 fail_count =0for i, article inenumerate(articles,1): title = article["title"] url = article["url"] pub_date = article.get("publish_date") date_str = pub_date.strftime("%Y-%m-%d")if pub_date else"未知"print(f"\n[{i}/{len(articles)}] 处理文章：{title} （发布于 {date_str}）") content = download_article(url, title)if content: save_to_markdown(title, content, SAVE_DIR) success_count +=1else:print(f" 文章下载失败：{title}") fail_count +=1 time.sleep(2)print(f"\n处理完成！成功：{success_count}篇，失败：{fail_count}篇")print(f"文章保存在：{SAVE_DIR.resolve()}")print("图片保存在：./images/ 目录下，Markdown文件可离线查看")记得修改MIN_PUBLISH_DATE 里的开始日期。之后执行脚本后，下载下来就是指定日期后的文章了。
