본문으로 건너뛰기
cccskills
무료GitHub에 공개

reddit-post-finder

Scrape and search Reddit posts using Apify. Use when you need to find Reddit discussions, track competitor mentions, monitor product feedback, discover pain points, or analyze subreddit content. Supports keyword filtering, time-based searches, and subreddit-specific queries.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구Reddit

실행 점수 미검증

설치 방법 보기

포함된 파일(4)

  • SKILL.md4.8 KB
  • references/apify-config.md3.2 KB
  • scripts/search_reddit.py9.1 KB
  • skill.meta.json261 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Reddit Post Finder

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

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag).

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

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

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

# Human-readable summary table
python3 skills/reddit-post-finder/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 trudax/reddit-scraper-lite 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 upvotes (descending) and outputs JSON or summary

CLI Reference

FlagDefaultDescription
--subredditrequiredSubreddit 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"}],
  "maxItems": 50
}

Key notes for trudax/reddit-scraper-lite:

  • Uses startUrls with full Reddit URLs (not a searches array for subreddit browsing)
  • Sort/time are controlled via the URL path (e.g. /top/?t=week), not separate input fields
  • Only startUrls and maxItems are confirmed working input fields
  • Does not support proxyConfiguration, scrollTimeout, or searchType

Output fields:

  • dataType — "post" or "comment"
  • title — Post title
  • body — Post body text
  • communityName — Subreddit name (without r/ prefix)
  • upVotes — Number of upvotes
  • numberOfComments — Comment count
  • url — Full URL to the post
  • createdAt — ISO timestamp of when the post was created

Common Workflows

1. Competitor Tracking

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

3. Brand Monitoring

python3 skills/reddit-post-finder/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 upvotes. Each post has:

{
  "dataType": "post",
  "title": "Post title",
  "body": "Post body...",
  "communityName": "growthhacking",
  "upVotes": 42,
  "numberOfComments": 15,
  "createdAt": "2026-02-18T12:00:00.000Z",
  "url": "https://reddit.com/r/..."
}

Configuration

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

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

gooseworks-ai의 스킬 모두 보기

이 스킬의 문제 신고