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 summaryHow the Script Works
- Builds full Reddit URLs for each subreddit (e.g.
https://www.reddit.com/r/growthhacking/top/?t=week) - Calls the Apify
parseforge/reddit-posts-scraperactor via REST API - Polls until the run completes, then fetches the dataset
- Applies client-side keyword and date filtering
- Sorts by score (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"}],
"maxPostCount": 50,
"scrollTimeout": 40,
"searchType": "posts",
"proxyConfiguration": {"useApifyProxy": true}
}Key differences from other Apify actors:
- Uses
startUrlswith full Reddit URLs (not asearchesarray) proxyConfigurationis 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 month2. Pain Point Discovery
python3 skills/reddit-scraper/scripts/search_reddit.py \
--subreddit LLMDevs \
--keywords "frustrating,difficult,hard to,wish there was,better way" \
--days 303. Brand Monitoring
python3 skills/reddit-scraper/scripts/search_reddit.py \
--subreddit "LLMDevs,MachineLearning" \
--keywords "YourProductName" \
--days 7 --sort newImportant: 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.