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reddit-scraperReddit 刮刀

Agent Skill

reddit-scraper 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

388

周安装

16

GitHub Stars

607

下载量

127
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:reddit-scraper(Reddit 刮刀)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/reddit-scraper
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill reddit-scraper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/athina-ai/goose-skills --skill reddit-scraper

简介

抓取 Reddit 指定版块的热门或最新帖子与评论内容。

  • 可用于监测增长黑客技巧、技术难题或社区情绪变化。
  • 支持多子版块联合查询与关键词二次筛选,提升信息聚焦度。
  • 必须设置 APIFY_API_TOKEN 并安装 requests 库方可运行脚本。
  • reddit-scraper 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Reddit Scraper

Scrape Reddit posts and comments using the Apify parseforge/reddit-posts-scraper actor.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.

# Top posts from r/growthhacking in last week
python3 skills/reddit-scraper/scripts/search_reddit.py \
  --subreddit growthhacking --days 7 --sort top --time week

# Hot posts from multiple subreddits
python3 skills/reddit-scraper/scripts/search_reddit.py \
  --subreddit "growthhacking,gtmengineering" --days 7 --sort hot

# Keyword-filtered competitor tracking
python3 skills/reddit-scraper/scripts/search_reddit.py \
  --subreddit LLMDevs \
  --keywords "Langfuse,Arize,Langsmith" \
  --days 30

# Human-readable summary table
python3 skills/reddit-scraper/scripts/search_reddit.py \
  --subreddit growthhacking --days 7 --output summary

How the Script Works

  1. Builds full Reddit URLs for each subreddit (e.g. https://www.reddit.com/r/growthhacking/top/?t=week)
  2. Calls the Apify parseforge/reddit-posts-scraper actor via REST API
  3. Polls until the run completes, then fetches the dataset
  4. Applies client-side keyword and date filtering
  5. Sorts by score (descending) and outputs JSON or summary

CLI Reference

FlagDefaultDescription
--subreddit*required*Subreddit name(s), comma-separated
--keywordsnoneKeywords to filter (comma-separated, OR logic)
--days30Only include posts from the last N days
--max-posts50Max posts to scrape per subreddit
--sorttopSort: hot, top, new, rising
--timeweekTime window for top sort: hour, day, week, month, year, all
--outputjsonOutput format: json or summary
--tokenenv varApify token (prefer APIFY_API_TOKEN env var)
--timeout300Max seconds to wait for the Apify run

Tips for Small Subreddits

Small or low-traffic subreddits (e.g. r/gtmengineering) may return zero posts with --sort hot because the hot feed is nearly empty. Use --sort top --time week (or month) instead — this scrapes the top-ranked posts over the time window and reliably returns results.

Direct API Usage

If calling the Apify API directly (e.g. via curl), note these required fields:

{
  "startUrls": [{"url": "https://www.reddit.com/r/growthhacking/top/?t=week"}],
  "maxPostCount": 50,
  "scrollTimeout": 40,
  "searchType": "posts",
  "proxyConfiguration": {"useApifyProxy": true}
}

Key differences from other Apify actors:

  • Uses startUrls with full Reddit URLs (not a searches array)
  • proxyConfiguration is required — omitting it causes an error
  • Sort/time are controlled via the URL path (e.g. /top/?t=week), not separate input fields

Common Workflows

1. Competitor Tracking

python3 skills/reddit-scraper/scripts/search_reddit.py \
  --subreddit "LLMDevs,MachineLearning,LocalLLaMA" \
  --keywords "Langfuse,Arize,Weights & Biases,Langsmith,Braintrust" \
  --days 30 --sort top --time month

2. Pain Point Discovery

python3 skills/reddit-scraper/scripts/search_reddit.py \
  --subreddit LLMDevs \
  --keywords "frustrating,difficult,hard to,wish there was,better way" \
  --days 30

3. Brand Monitoring

python3 skills/reddit-scraper/scripts/search_reddit.py \
  --subreddit "LLMDevs,MachineLearning" \
  --keywords "YourProductName" \
  --days 7 --sort new

Important: Always Include Post URLs

When presenting Reddit results to the user, always include the original post URL for every post. This is critical for allowing users to read the full discussion, comments, and context. Never return a summary table without links.

Output Format

Posts are returned as JSON array sorted by score. Each post has:

{
  "id": "abc123",
  "title": "Post title",
  "author": "username",
  "subreddit": "growthhacking",
  "score": 42,
  "numComments": 15,
  "createdAt": "2026-02-18T12:00:00.000Z",
  "selfText": "Post body...",
  "url": "https://reddit.com/r/..."
}

Configuration

See references/apify-config.md for detailed API configuration, token setup, and rate limits.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.32%
按下载量换算41

Claude

31.92%
按下载量换算41

Cursor

19.2%
按下载量换算24

Gemini CLI

9.57%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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