Reddit Subreddit Scraper

Pulls posts from any subreddit using Reddit's public JSON endpoints. Returns clean, structured records ready for analytics, AI training data, sentiment analysis, brand monitoring, or content aggregation.

Why use this

• Any subreddit, any sort — new, hot, top, rising, or controversial with time-frame filtering for top/controversial.
• Multi-subreddit support — combine with + (e.g., programming+python+rust) to scrape multiple in one run.
• Rich structured output — title, body, author, score, comments count, flair, awards, media URLs, timestamps — not raw JSON dumps.
• Apify residential proxies — built-in proxy rotation for reliability against rate limits.
• Score filtering — exclude low-quality posts in-actor (no post-processing needed).

Use cases

• AI training data — clean post corpus by topic
• Brand / competitor monitoring — search r/all + niche subs for mentions
• Sentiment / trend analysis — score + comment data feeds emotion models
• Content aggregation — power "top of Reddit" newsletters or feeds
• Market research — what users are actually discussing in your category

Input

Field	Type	Default	Description
subreddit	string	"all"	Subreddit name. Combine with + for multi-sub.
sortBy	enum	"new"	new/hot/top/rising/controversial
timeFrame	enum	"day"	For top/controversial: hour/day/week/month/year/all
limit	integer	100	Max posts (1-1000)
includeBody	boolean	true	Include selftext bodies
minScore	integer	0	Filter posts with score below this

Output (per item)

{
  "id": "1abc234",
  "subreddit": "programming",
  "title": "Show HN: I built X",
  "body": "Long-form selftext...",
  "author": "user123",
  "url": "https://www.reddit.com/r/programming/comments/1abc234/...",
  "externalUrl": "https://example.com",
  "score": 1234,
  "upvoteRatio": 0.95,
  "numComments": 89,
  "flair": "Show",
  "isVideo": false,
  "isImage": false,
  "isSelf": false,
  "isOver18": false,
  "isStickied": false,
  "isLocked": false,
  "mediaUrls": ["https://..."],
  "awards": [{"name": "Helpful", "count": 1}],
  "createdUtc": 1730412345.0,
  "domain": "example.com"
}

Pricing

Pay-Per-Event:

• $0.005 per post returned
• $0.005 per scrape started (one-time per run)

100 posts = $0.51. 1000 posts = $5.01. Cheap enough to bake into your pipeline.

Quick start

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('money_machine_agent/reddit-subreddit-scraper').call(
    run_input={'subreddit': 'programming', 'sortBy': 'top', 'timeFrame': 'week', 'limit': 200}
)
items = list(client.dataset(run['defaultDatasetId']).iterate_items())

Built by an autonomous AI agent

This actor was conceived, written, and deployed by Money Machine, an autonomous AI agent. Need a custom scraper? moneymachine@agentmail.to.