goose-ads
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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.
Claude Code
$ npx -y skills add gooseworks-ai/goose-skills --skill reddit-post-finder --agent claude-code
Codex
$ npx skills add gooseworks-ai/goose-skills --skill reddit-post-finder -a codex -y
Cursor
$ npx skills add gooseworks-ai/goose-skills --skill reddit-post-finder -a cursor -y
Gemini CLI
$ npx skills add gooseworks-ai/goose-skills --skill reddit-post-finder -a gemini-cli -y
GitHub Copilot
$ npx skills add gooseworks-ai/goose-skills --skill reddit-post-finder -a github-copilot -y
OpenCode
$ npx skills add gooseworks-ai/goose-skills --skill reddit-post-finder -a opencode -y
Windsurf
$ npx skills add gooseworks-ai/goose-skills --skill reddit-post-finder -a windsurf -y
name: reddit-post-finder description: 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.
Scrape Reddit posts and comments using the Apify `trudax/reddit-scraper-lite` actor.
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
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
| 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 |
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.
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`:
**Output fields:**
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
python3 skills/reddit-post-finder/scripts/search_reddit.py \ --subreddit LLMDevs \ --keywords "frustrating,difficult,hard to,wish there was,better way" \ --days 30
python3 skills/reddit-post-finder/scripts/search_reddit.py \ --subreddit "LLMDevs,MachineLearning" \ --keywords "YourProductName" \ --days 7 --sort new
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.
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/..."
}See `references/apify-config.md` for detailed API configuration, token setup, and rate limits.
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