reddit-post-finder

Research

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.

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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

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

CLI Reference

Flag	Default	Description
`--subreddit`	required	Subreddit name(s), comma-separated
`--keywords`	none	Keywords to filter (comma-separated, OR logic)
`--days`	30	Only include posts from the last N days
`--max-posts`	50	Max posts to scrape per subreddit
`--sort`	top	Sort: `hot`, `top`, `new`, `rising`
`--time`	week	Time window for `top` sort: `hour`, `day`, `week`, `month`, `year`, `all`
`--output`	json	Output format: `json` or `summary`
`--token`	env var	Apify token (prefer `APIFY_API_TOKEN` env var)
`--timeout`	300	Max 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.