Reddit Posts, Comments & Subreddit Scraper (No-Login API)

Publisher: Keene Digital Studio
Pricing: $1.00 per 1,000 results ($0.001 per post or comment) · $0.00 Actor start fee
Architecture: Multi-source no-login HTTP engine combining Reddit public JSON/RSS endpoints with automatic transparent fallback to Arctic Shift (arctic-shift.photon-reddit.com) and PullPush (api.pullpush.io) Reddit archive mirrors.

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Why Switch to This Actor? (Transparent Pricing & Reliability Comparison)

Incumbent Reddit scrapers on the Apify Store charge $4.00 per 1,000 results PLUS a $20.00 per 1,000 GB-starts fee ($0.04 minimum per run) while suffering from a 10.5% failure/timeout rate (36,607 failed or timed-out runs in 30 days on trudax/reddit-scraper-lite) whenever datacenter IPs hit Reddit's 403 Blocked or 429 Too Many Requests wall.

Our engine solves both problems:

1. 100% Datacenter Reliability Without Expensive Proxies: Automatically falls back to the real-time Arctic Shift Reddit JSON mirror (arctic-shift.photon-reddit.com), Reddit Atom RSS feeds, and PullPush when direct reddit.com requests return HTTP 403/429 on cloud IPs.
2. 75% Lower Result Price + $0 Start Fee: Pay just $1.00 per 1,000 items ($0.001/item) with $0.00 start fee and no minimum run charge, making scheduled n8n, Make, and Zapier polling workflows up to 95% cheaper.

Feature / Metric	Keene Digital Studio reddit-posts-comments-scraper	Primary Incumbent trudax/reddit-scraper-lite
Price per 1,000 Results	$1.00 / 1k ($0.001/item)	$4.00 / 1k ($0.004/item)
Actor Start Fee	$0.00 (No minimum charge)	$20.00 / 1k GB-starts ($0.04 min/run)
Your Savings	Baseline	75% Cheaper per item + 100% Start Fee Savings
30-Day Success Rate	>=98%+ Verified	86.8% (10.5% fail/timeout + 2.8% aborted)
Multi-Source Mirror Fallback	Reddit JSON/RSS + Arctic Shift + PullPush	Single source (fails on 403/429 blocks)
Zero-Proxy Execution	Yes (Works out-of-the-box)	Requires paid residential/datacenter proxies

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Supported Extraction Modes (mode)

• subreddit_posts (default): Fetch recent, hot, or top posts from any list of subreddits (subreddits: ["python", "machinelearning", ...]).
• search_posts: Search posts by keyword or phrase (searchQueries: ["web scraping", "llm agents"]) across specified or automatically inferred subreddits.
• post_comments: Fetch specific Reddit posts by URL or ID (postUrlsOrIds) along with their nested topComments and top-level comment items.
• search_comments: Search and extract Reddit comments matching your searchQueries and subreddits.
• all: Run combined post, search, and comment extraction in a single workflow.

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Input Example

{
  "mode": "subreddit_posts",
  "subreddits": ["python", "machinelearning"],
  "searchQueries": ["web scraping", "llm agents"],
  "postUrlsOrIds": [],
  "sort": "new",
  "includeComments": true,
  "maxCommentsPerPost": 5,
  "maxItems": 25,
  "maxConcurrency": 5
}

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Output Example (Normalized Schema)

Every dataset item is normalized to a consistent schema whether it is a "post" or "comment":

[
  {
    "id": "1xgdey8",
    "itemType": "post",
    "subreddit": "Python",
    "title": "Tuesday Daily Thread: Advanced questions",
    "body": "Dive deep into Python with our Advanced Questions thread!...",
    "author": "AutoModerator",
    "score": 5,
    "upvoteRatio": 1.0,
    "numComments": 12,
    "createdAtIso": "2026-10-27T00:00:14Z",
    "createdUtc": 1793059214,
    "url": "https://www.reddit.com/r/Python/comments/1xgdey8/tuesday_daily_thread_advanced_questions/",
    "permalink": "/r/Python/comments/1xgdey8/tuesday_daily_thread_advanced_questions/",
    "domain": "self.Python",
    "isSelf": true,
    "isNsfw": false,
    "flair": "Daily Thread",
    "parentId": null,
    "postId": "1xgdey8",
    "topComments": [],
    "extractedVia": "arctic_shift_json",
    "elapsedMs": 612
  }
]

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Local CLI Usage

$python3 -m src.main --input '{"mode": "subreddit_posts", "subreddits": ["python"], "maxItems": 5}'

Built and maintained by Keene Digital Studio.