feedgrab-batch

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

feedgrab-batch — Batch Content Grabber

feedgrab-batch — 批量内容抓取工具

Bulk fetch content from any platform — bookmarks, user timelines, keyword search, album pages, wiki trees.

从任意平台批量获取内容：书签、用户时间线、关键词搜索结果、专辑页面、wiki树。

Trigger

触发条件

Activate when user mentions batch/bulk operations:

```
/feedgrab-batch <command> <args>
```
"Grab all my bookmarks"
"批量抓取这个用户的推文"
"搜索关键词 AI Agent"
"抓取这个公众号的所有文章"
"下载这个飞书知识库"

当用户提及批量操作时激活：

```
/feedgrab-batch <command> <args>
```
"抓取我所有的书签"
"批量抓取这个用户的推文"
"搜索关键词 AI Agent"
"抓取这个公众号的所有文章"
"下载这个飞书知识库"

Prerequisites

前置条件

feedgrab installed (
```
which feedgrab
```
)
Platform-specific cookies/API keys configured (see each command below)

If not ready, suggest

/feedgrab-setup

已安装feedgrab（
```
which feedgrab
```
校验）
已配置对应平台的Cookie/API密钥（见下方各命令说明）

如果未满足条件，建议执行

/feedgrab-setup

。

Command Reference

命令参考

X/Twitter

Bookmarks

书签

bash

undefined

bash

undefined

Requires: X_BOOKMARKS_ENABLED=true + feedgrab login twitter

要求：X_BOOKMARKS_ENABLED=true + 执行feedgrab login twitter完成登录

feedgrab https://x.com/i/bookmarks # All bookmarks feedgrab https://x.com/i/bookmarks/2015311287715340624 # Specific folder

undefined

feedgrab https://x.com/i/bookmarks # 全部书签 feedgrab https://x.com/i/bookmarks/2015311287715340624 # 指定文件夹的书签

undefined

User Tweets

用户推文

bash

undefined

bash

undefined

Requires: X_USER_TWEETS_ENABLED=true + feedgrab login twitter

要求：X_USER_TWEETS_ENABLED=true + 执行feedgrab login twitter完成登录

feedgrab https://x.com/username # All tweets X_USER_TWEETS_SINCE=2026-01-01 feedgrab https://x.com/username # Since date

feedgrab https://x.com/username # 全部推文 X_USER_TWEETS_SINCE=2026-01-01 feedgrab https://x.com/username # 抓取指定日期之后的推文

Auto browser search supplement when >800 tweets

当推文数量超过800条时会自动通过浏览器搜索补充数据

undefined

undefined

List Tweets

列表推文

bash

undefined

bash

undefined

Requires: X_LIST_TWEETS_ENABLED=true + feedgrab login twitter

要求：X_LIST_TWEETS_ENABLED=true + 执行feedgrab login twitter完成登录

feedgrab https://x.com/i/lists/LIST_ID # Last 1 day X_LIST_TWEETS_DAYS=7 feedgrab https://x.com/i/lists/LIST_ID # Last 7 days X_LIST_TWEETS_SUMMARY=true feedgrab https://x.com/i/lists/LIST_ID # + summary table

undefined

feedgrab https://x.com/i/lists/LIST_ID # 最近1天的推文 X_LIST_TWEETS_DAYS=7 feedgrab https://x.com/i/lists/LIST_ID # 最近7天的推文 X_LIST_TWEETS_SUMMARY=true feedgrab https://x.com/i/lists/LIST_ID # 额外生成汇总表格

undefined

Keyword Search (x-so)

关键词搜索（x-so）

bash

feedgrab x-so "AI Agent"                          # Search tweets
feedgrab x-so "AI Agent" --days 7                 # Last 7 days
feedgrab x-so "AI Agent" --min-faves 100          # Min 100 likes
feedgrab x-so "claude,cursor,copilot" --merge     # Multi-keyword merged table
feedgrab x-so "AI Agent" --raw                    # Raw query syntax

Output: Markdown table (sorted by views) + CSV at

output/X/search/

bash

feedgrab x-so "AI Agent"                          # 搜索推文
feedgrab x-so "AI Agent" --days 7                 # 搜索最近7天的结果
feedgrab x-so "AI Agent" --min-faves 100          # 最低100赞的结果
feedgrab x-so "claude,cursor,copilot" --merge     # 多关键词合并结果表格
feedgrab x-so "AI Agent" --raw                    # 使用原生查询语法

输出：按浏览量排序的Markdown表格 + CSV文件，存储在

output/X/search/

Xiaohongshu (小红书)

Author Notes

作者笔记

bash

undefined

bash

undefined

Requires: XHS_USER_NOTES_ENABLED=true + feedgrab login xhs

要求：XHS_USER_NOTES_ENABLED=true + 执行feedgrab login xhs完成登录

feedgrab https://www.xiaohongshu.com/user/profile/USER_ID XHS_USER_NOTES_SINCE=2026-01-01 feedgrab https://www.xiaohongshu.com/user/profile/USER_ID

undefined

feedgrab https://www.xiaohongshu.com/user/profile/USER_ID XHS_USER_NOTES_SINCE=2026-01-01 feedgrab https://www.xiaohongshu.com/user/profile/USER_ID

undefined

Search Results

搜索结果

bash

undefined

bash

undefined

Requires: XHS_SEARCH_ENABLED=true + feedgrab login xhs

要求：XHS_SEARCH_ENABLED=true + 执行feedgrab login xhs完成登录

feedgrab "https://www.xiaohongshu.com/search_result?keyword=开学第一课&source=web_explore_feed"

undefined

feedgrab "https://www.xiaohongshu.com/search_result?keyword=开学第一课&source=web_explore_feed"

undefined

Keyword Search (xhs-so)

关键词搜索（xhs-so）

bash

feedgrab xhs-so "AI Agent"                          # Search notes
feedgrab xhs-so "AI Agent" --sort popular            # By popularity
feedgrab xhs-so "AI Agent" --type video              # Videos only
feedgrab xhs-so "AI Agent" --save                    # Also save individual .md
feedgrab xhs-so "claude,cursor" --merge              # Multi-keyword merged

Output: Markdown table (sorted by likes) + CSV at

output/XHS/search/

bash

feedgrab xhs-so "AI Agent"                          # 搜索笔记
feedgrab xhs-so "AI Agent" --sort popular            # 按热度排序
feedgrab xhs-so "AI Agent" --type video              # 仅搜索视频内容
feedgrab xhs-so "AI Agent" --save                    # 同时保存单条笔记为.md文件
feedgrab xhs-so "claude,cursor" --merge              # 多关键词结果合并

输出：按点赞量排序的Markdown表格 + CSV文件，存储在

output/XHS/search/

WeChat (微信公众号)

By Account (mpweixin-id)

按账号抓取（mpweixin-id）

bash

undefined

bash

undefined

Requires: feedgrab login wechat (MP backend session, ~4 day validity)

要求：执行feedgrab login wechat完成登录（公众号后台会话，有效期约4天）

feedgrab mpweixin-id "公众号名称" MPWEIXIN_ID_SINCE=2026-01-01 feedgrab mpweixin-id "公众号名称" # Since date

undefined

feedgrab mpweixin-id "公众号名称" MPWEIXIN_ID_SINCE=2026-01-01 feedgrab mpweixin-id "公众号名称" # 抓取指定日期之后的文章

undefined

Album / Collection (mpweixin-zhuanji)

专辑/合集抓取（mpweixin-zhuanji）

bash

feedgrab mpweixin-zhuanji "ALBUM_URL"                # No login needed
MPWEIXIN_ZHUANJI_SINCE=2026-01-01 feedgrab mpweixin-zhuanji "ALBUM_URL"

bash

feedgrab mpweixin-zhuanji "ALBUM_URL"                # 无需登录
MPWEIXIN_ZHUANJI_SINCE=2026-01-01 feedgrab mpweixin-zhuanji "ALBUM_URL"

Sogou Search (mpweixin-so)

搜狗搜索（mpweixin-so）

bash

feedgrab mpweixin-so "关键词"                         # Search via Sogou
feedgrab mpweixin-so "关键词" --limit 30              # Max 30 results

bash

feedgrab mpweixin-so "关键词"                         # 通过搜狗搜索公众号内容
feedgrab mpweixin-so "关键词" --limit 30              # 最多返回30条结果

YouTube

Search (ytb-so)

搜索（ytb-so）

bash

undefined

bash

undefined

Requires: YOUTUBE_API_KEY

要求：配置YOUTUBE_API_KEY

feedgrab ytb-so "machine learning" # Search videos feedgrab ytb-so "AI" --order viewCount # Sort by views feedgrab ytb-so "AI" --channel @3blue1brown # Channel-specific feedgrab ytb-so "AI" --days 30 # Last 30 days

undefined

feedgrab ytb-so "machine learning" # 搜索视频 feedgrab ytb-so "AI" --order viewCount # 按播放量排序 feedgrab ytb-so "AI" --channel @3blue1brown # 限定指定频道搜索 feedgrab ytb-so "AI" --days 30 # 搜索最近30天的结果

undefined

Download

下载

bash

feedgrab ytb-dlv "VIDEO_URL"    # Download video (MP4)
feedgrab ytb-dla "VIDEO_URL"    # Download audio (MP3)
feedgrab ytb-dlz "VIDEO_URL"    # Download subtitles (SRT)

bash

feedgrab ytb-dlv "VIDEO_URL"    # 下载视频（MP4格式）
feedgrab ytb-dla "VIDEO_URL"    # 下载音频（MP3格式）
feedgrab ytb-dlz "VIDEO_URL"    # 下载字幕（SRT格式）

Feishu/Lark (飞书)

Wiki Batch

Wiki批量抓取

bash

undefined

bash

undefined

Requires: FEISHU_APP_ID + FEISHU_APP_SECRET

要求：配置FEISHU_APP_ID + FEISHU_APP_SECRET

feedgrab feishu-wiki "WIKI_SPACE_URL"

---

feedgrab feishu-wiki "WIKI_SPACE_URL"

---

Environment Variables Quick Reference

环境变量快速参考

Platform	Required Variables	How to Get
Twitter (basic)	Cookie via `feedgrab login twitter`	Login in browser
Twitter (paid API)	`TWITTERAPI_IO_KEY`	twitterapi.io
Xiaohongshu	Cookie via `feedgrab login xhs`	Login in browser
WeChat batch	Cookie via `feedgrab login wechat`	Login MP backend
YouTube	`YOUTUBE_API_KEY`	Google Cloud Console
GitHub	`GITHUB_TOKEN` (optional)	GitHub Settings
Feishu	`FEISHU_APP_ID` + `FEISHU_APP_SECRET`	Feishu Open Platform

平台	所需变量	获取方式
Twitter（基础功能）	通过 `feedgrab login twitter` 获取Cookie	浏览器登录账号
Twitter（付费API）	`TWITTERAPI_IO_KEY`	twitterapi.io官网获取
小红书	通过 `feedgrab login xhs` 获取Cookie	浏览器登录账号
微信批量抓取	通过 `feedgrab login wechat` 获取Cookie	登录公众号后台
YouTube	`YOUTUBE_API_KEY`	Google Cloud控制台获取
GitHub	`GITHUB_TOKEN` （可选）	GitHub设置页获取
飞书	`FEISHU_APP_ID` + `FEISHU_APP_SECRET`	飞书开放平台获取

Resume After Interruption

中断后恢复

All batch commands support checkpoint resume — if interrupted, just re-run the same command. Already fetched items are skipped via dedup index.

所有批量命令都支持断点续传——如果任务被中断，重新运行相同命令即可。已抓取的内容会通过去重索引自动跳过。

Tips

提示

Use
```
feedgrab doctor <platform>
```
to diagnose configuration issues

Media download: set

X_DOWNLOAD_MEDIA=true

XHS_DOWNLOAD_MEDIA=true

MPWEIXIN_DOWNLOAD_MEDIA=true

Multi-account cookie rotation for Twitter: put extra cookies in
```
sessions/x_2.json
```
,
```
x_3.json
```

可使用
```
feedgrab doctor <平台名>
```
诊断配置问题

媒体下载：设置

X_DOWNLOAD_MEDIA=true

XHS_DOWNLOAD_MEDIA=true

MPWEIXIN_DOWNLOAD_MEDIA=true

开启

Twitter多账号Cookie轮询：将额外Cookie存入
```
sessions/x_2.json
```
、
```
x_3.json
```
即可