一键秒速收藏，30分钟Coze+多维表格打造你的文章采集收藏家

需求背景

在日常刷信息的时候，咱们经常会"撞"上那些内容超精彩、见解超独到的好文章。每次一看到这样的文章，心里就会本能地冒出个想法，特别想把这文章的链接好好收藏起来。为啥呢？咱心里明白，说不定以后啥时候就还得再看看这篇文章，有了收藏的链接，就能一下子找到原文，再好好钻进去深入学习一番。

可是吧，实际操作起来就犯难了。收藏的文章链接越来越多，管理这些链接简直让人头大。咋才能更高效地管理这些文章链接，让咱需要的时候能更方便地找到想找的文章呢？这可成了好多人心里的一个大麻烦。那这麻烦咋解决呢？

今天，咱就来试试用 coze 开发一款文章采集收藏家智能体项目。这项目可不一般，它功能老强大了，能对文章链接进行智能分类，搜索也特别准。等开发完投入使用，相信它出色的表现和独特的优势肯定会让你眼前一亮，帮你解决文章收藏和管理的大难题。

定义智能体

• 智能体的名称：文章采集收藏家

• 智能体的描述：

  • 一个文章信息要素采集智能体，根据文章URL爬取文章内容，并对文章标题、发布者、标签、简介、封面图、发布日期字段进行采集，最终存入飞书多维表格中。

创建工作流

• 工作流名称：url_to_feishu_bitable_collect

• 工作流描述：

  • 一个文章信息要素采集的工作流，根据文章URL爬取文章内容，并对文章标题、发布者、标签、简介、封面图、发布日期字段进行采集，最终存入飞书多维表格中。

• 工作流全景预览：

  • 

• 工作流复制：

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• 数据类型转换节点：

      from datetime import datetime
      # 在这里，您可以通过 'args'  获取节点中的输入变量，并通过 'ret' 输出结果
      # 'args' 和 'ret' 已经被正确地注入到环境中
      # 下面是一个示例，首先获取节点的全部输入参数params，其次获取其中参数名为'input'的值：
      # params = args.params; 
      # input = params.input;
      # 下面是一个示例，输出一个包含多种数据类型的 'ret' 对象：
      # ret: Output =  { "name": '小明', "hobbies": ["看书", "旅游"] };
  
      def parse_date(date_str):
          formats = [
              "%Y-%m-%d",
              "%m-%d",
              "%Y-%m-%d %H:%M:%S",
              "%Y-%m-%d %H:%M", # 添加支持 2024-03-10 01:28  格式
              "%d/%m/%Y",
              "%d/%m/%Y %I:%M %p",
              "%b %d, %Y"  # 添加支持 "Jun 11, 2025" 格式
          ]
          for fmt in formats:
              try:
                  dt = datetime.strptime(date_str, fmt)
                  # 如果格式是月-日，则将年份设置为当前年份
                  if fmt == "%m-%d":
                      dt = dt.replace(year=datetime.now().year)
                  return dt
              except ValueError:
                  continue
          raise ValueError(f"无法解析日期: {date_str}")
  
      async def main(args: Args) -> Output:
          params = args.params
          publish_date_str = params["publish_date"]
          
          dt = parse_date(publish_date_str)
          publish_date_timestamp = int(dt.timestamp() * 1000)
          
              
          converted_list = [
              {
                  "fields": {
                      "标题": {
                          "link": params["article_url"],
                          "text": params["title"]
                      },
                      "发布者": params["author"],
                      "标签": params["keywords"],
                      "简介": params["summary"],
                      "封面图": [
                          {
                              "file_token": params["cover_image"]
                          }],
                      "发布日期": publish_date_timestamp
                  }
              }
          ]
          print('输出：',converted_list)
          # 构建输出对象
          ret: Output = {
              "records": converted_list
          }
          return ret

人设与回复逻辑

# 角色
你是一个专业的文章信息要素采集智能体，负责根据给定的文章URL准确爬取文章内容，并精准采集文章标题、发布者、标签、简介、封面图、发布日期等关键信息，最后将这些信息完整无误地存入飞书多维表格中。

## 技能
### 技能 1: 采集文章信息
1. 当用户提供文章URL时，使用工作流{#LibraryBlock id="7514953386262462498" uuid="AnA2cXHqawik-vLXAbbaH" type="workflow"#}url_to_feishu_bitable_collect{#/LibraryBlock#}爬取文章内容。
2. 从爬取的文章内容中提取文章标题、发布者、标签、简介、封面图、发布日期等信息。


### 技能 2: 存入飞书多维表格
1. 采集到信息后，使用工作流{#LibraryBlock id="7514953386262462498" uuid="FB3rC-vzPaK5VrwVp856Y" type="workflow"#}url_to_feishu_bitable_collect{#/LibraryBlock#}将整理好的文章信息存入飞书多维表格。
2. 确认信息成功存入表格后，向用户反馈存入结果。

## 限制:
- 只处理与文章信息采集和存入飞书多维表格相关的任务，拒绝回答无关话题。
- 所输出的内容必须按照给定的格式进行组织，不能偏离框架要求。
- 确保采集信息的准确性和完整性。
- 通过工具完成爬取文章内容、存入飞书多维表格等操作。 

5. 快捷指令

设计快捷指令【发送文章URL】，快速添加文章URL进行处理。

开场白

使用开场白引导用户使用快捷指令。

作品展示