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淘股吧帖子爬取skill,给 AI agent(AI智能体)使用。
淘股吧抓取与复盘项目。当前已经改造成可长期运行的定时任务:
output/ 下的 JSON、HTML 和最终发送用 Markdowntestsend / testsend-livedeploy.py 部署到远端.env、代理、通知、日志公共能力复制 .env.example 为 .env,至少配置这些项:
COOKIE=你的淘股吧 Cookie
SCRAPE_TIME=19:00
TAOGUBA_SOURCE=bbs
DASHSCOPE_API_KEY=你的 DashScope Key
DASHSCOPE_BASE_URL=https://coding.dashscope.aliyuncs.com/v1
DASHSCOPE_MODEL=qwen3.5-plus
PICOCLAW_EXE=/home/nuonuo/picoclaw-linux-amd64
PICOCLAW_CHANNEL=feishu
可选:
HTTP_PROXY=127.0.0.1:2334
HTTPS_PROXY=127.0.0.1:2334
python -m pip install -r requirements.txt
建议使用虚拟环境:
python -m venv .venv
.venv/bin/python -m pip install -r requirements.txt
主进程:
python main.py
复用最近一次报告发送测试消息:
python main.py testsend
实时抓取并立即发送:
python main.py testsend-live
output/: 爬虫生成的 JSON、HTML,以及最终发送给渠道的 Markdownoutput/latest_report.md: 最近一次发送用的 Markdownoutput/report-YYYYMMDD-HHMMSS.md: 按时间归档的发送内容logs/: 主进程日志、PM2 日志state/latest_report.json: 最近一次完整报告state/main_state.json: 主进程每日执行状态.env 配好 UPLOAD_HOST / UPLOAD_USER / UPLOAD_PASSWORD 后执行:
python deploy.py
默认部署到:
/home/nuonuo/app/taoguba-crawler-skill
cd /home/nuonuo/app/taoguba-crawler-skill
pm2 start ecosystem.config.js
pm2 save
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