Reddit Scraper — Posts & Comments | from $1.50/1K

Built for brand monitors, growth researchers, and AI agent pipelines that need Reddit data at scale without OAuth limits.

Pricing: $1.50 per 1,000 posts · $0.50 per 1,000 comments (when includeComments=true)

Reddit Scraper lets you scrape Reddit posts, comments, and user activity from any public subreddit — no API key, no OAuth, no proxy required. Returns 25+ fields per record including score, upvote ratio, flair, author, and timestamps. Backed by the Arctic Shift Reddit archive for unlimited historical depth — no 1000-post-per-subreddit cap that live Reddit imposes. MCP-callable for AI agents. Pay only per result scraped.

Why This Reddit Scraper Beats the Alternatives

	This scraper	trudax/reddit-scraper-lite	practicaltools/apify-reddit-api
Price	$1.50/1000	$3.40/1000	$2.00/1000
No proxy cost to buyer	✓	✗	✗
Historical data (no 1000-post cap)	✓	✗	✗
No OAuth API dependency	✓	✓	✗
parse_confidence in every record	✓	✗	✗
25+ fields	✓	✓	partial
Comments included	✓	partial	✗

Key advantage: Competitors hitting live Reddit directly require residential proxy to avoid 403s — that cost passes to you. This actor uses Arctic Shift (free Reddit archive API) as its backend, so you pay only for results, not proxy overhead.

Reddit Data Fields

Field	Posts	Comments
id	✓	✓
type (post/comment)	✓	✓
subreddit	✓	✓
title	✓	—
body	✓	✓
author	✓	✓
score	✓	✓
upvote_ratio	✓	—
num_comments	✓	—
created_utc (ISO-8601)	✓	✓
permalink	✓	✓
url	✓	✓
is_self	✓	—
over_18 (NSFW)	✓	—
flair_text	✓	✓
domain	✓	—
subreddit_subscribers	✓	✓
parent_id	—	✓
depth	—	✓
is_submitter (OP?)	—	✓
parse_confidence	✓	✓
warnings	✓	✓
scraped_at	✓	✓

What parse_confidence Means

Every Reddit record includes a score from 0.0 to 1.0:

• 1.0 — all fields parsed cleanly
• 0.9–0.95 — minor field missing (e.g. deleted author)
• < 0.5 — critical issue (missing ID, no data returned)

warnings lists machine-readable codes explaining any deductions — broken scrapes are visible in your dataset, not silently hidden.

Reddit Scraper Use Cases

• Brand monitoring — track keyword mentions across niche subreddits
• Lead generation — find users asking questions your product solves
• Sentiment analysis — bulk-export posts and comments for NLP pipelines
• Competitor research — monitor product-related subreddits
• Content strategy — find top-performing posts by score or comment count
• AI agent memory — feed recent subreddit discussion into agent context

How to Use Reddit Scraper

Scrape Reddit Subreddit Posts

{
  "subreddits": ["python", "learnpython"],
  "sort": "new",
  "maxItems": 200,
  "includeComments": false
}

Scrape Reddit Posts + Comments Together

{
  "subreddits": ["entrepreneur"],
  "sort": "new",
  "maxItems": 100,
  "includeComments": true,
  "maxCommentsPerPost": 25
}

Scrape Reddit User Activity

{
  "users": ["spez", "some_username"],
  "maxItems": 50
}

Scrape via Reddit URL

{
  "urls": ["https://www.reddit.com/r/investing/"],
  "maxItems": 200
}

Input Parameters

Parameter	Type	Default	Description
subreddits	string[]	—	Subreddit names (e.g. python, r/flask)
urls	string[]	—	Reddit subreddit or profile URLs
users	string[]	—	Usernames to scrape (e.g. spez)
sort	new/old	new	Sort order
maxItems	integer	100	Max posts per subreddit or user
includeComments	boolean	false	Also scrape comments
maxCommentsPerPost	integer	50	Max comments per post

Sample Output

{
  "type": "post",
  "id": "1d2e3f4",
  "subreddit": "python",
  "title": "What's the best async HTTP library in 2026?",
  "body": "Looking for recommendations for an async HTTP client...",
  "author": "user123",
  "score": 847,
  "upvote_ratio": 0.97,
  "num_comments": 62,
  "created_utc": "2026-05-20T14:32:11+00:00",
  "permalink": "/r/python/comments/1d2e3f4/whats_the_best_async_http_library_in_2026/",
  "url": "https://www.reddit.com/r/python/comments/1d2e3f4/",
  "flair_text": "Discussion",
  "subreddit_subscribers": 1200000,
  "parse_confidence": 1.0,
  "warnings": [],
  "scraped_at": "2026-06-05T09:00:00+00:00"
}

Pricing — Pay Per Reddit Post or Comment

$1.50 per 1,000 posts · $0.50 per 1,000 comments (when includeComments=true) — PPE, no per-run fee. No proxy cost — Reddit data is fetched via Arctic Shift at no additional infrastructure charge. First $5 Apify credit covers ~3,300 post records.

Data Source & Freshness

This actor fetches from Arctic Shift (arctic-shift.photon-reddit.com), a community-maintained Reddit archive based on historical data dumps. Data is updated continuously with an approximate 36-hour lag on engagement metrics (score, num_comments) for very recent posts. Historical data goes back years with no per-subreddit post cap.

Arctic Shift is a free service with no uptime SLA. The parse_confidence and warnings fields in every record surface any API anomalies so you can filter them downstream.

Use with AI Agents (MCP)

This Reddit scraper is callable as a tool by AI agents (Claude Desktop, Cursor, VS Code, n8n, LangGraph, CrewAI, or any MCP-compatible client) via Apify's hosted Model Context Protocol server.

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.apify.com/?tools=bovi/reddit-scraper",
        "--header",
        "Authorization: Bearer <YOUR_APIFY_TOKEN>"
      ]
    }
  }
}

Keep maxItems low (e.g. 25) when calling from agents to limit token volume.

Frequently Asked Questions

Does this Reddit scraper need an API key? No. It uses Arctic Shift (a community Reddit archive), not the official Reddit API. No OAuth, no app registration.

Why is there a 36-hour lag? Arctic Shift syncs from Reddit data dumps continuously. Very recent posts (< 36h) may have slightly outdated score and num_comments — all other fields are accurate.

Can I get more than 1000 posts from a subreddit? Yes. Unlike live Reddit, Arctic Shift has no 1000-post cap. Use maxItems to control volume; the actor paginates via timestamps.

Is residential proxy needed? No — this actor does not hit live Reddit endpoints. No proxy cost to you.

---

Brand Monitoring & Incremental Scraping

Use sinceDate and Apify schedules to run this actor daily and get only new posts for ongoing brand-monitoring workflows. Set includeComments=true and a low maxCommentsPerPost for lightweight recurring runs that track sentiment changes over time.

---

Not affiliated with Reddit. Data retrieved from Arctic Shift, a community-maintained public Reddit archive.

Integrations

Built for social-listening and research teams tracking communities, trends, and sentiment at scale — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.

More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

• Social Media Finder
• Telegram Channel Scraper
• Truth Social Scraper
• Twitch Scraper
• Douyin Scraper
• Maigret Username Osint

Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow — one actor's output feeds the next.

Use it from your existing tools

Use with Claude Desktop / Cursor / Cline (MCP)

Load this actor as a tool in your AI assistant. Call it directly from your AI assistant via the Apify MCP server — no Store browsing needed. Paste this into your MCP client config (e.g. claude_desktop_config.json) and restart the client:

{
  "mcpServers": {
    "apify-reddit-scraper": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--tools",
        "bovi/reddit-scraper"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}

Replace YOUR_APIFY_TOKEN with your own Apify API token (free at apify.com → Settings → Integrations). Curated to a handful of tools so the agent selects reliably.

Works with Clay

Run this actor as an HTTP enrichment step inside a Clay table:

• Method: POST
• URL: https://api.apify.com/v2/acts/bovi~reddit-scraper/run-sync-get-dataset-items?token={{apify_token}}
• Body (JSON): map your Clay columns to the actor input (see the Input section above), e.g. {"subreddits": "{{clay_column}}"}

The run finishes synchronously and returns the dataset rows straight into your Clay table. It runs on Apify's cloud under your own token and usage. Synchronous runs must complete within 300 seconds.

Usage statistics

This Actor creates a small, content-free summary at the end of each run. It is used only to monitor reliability and improve this Actor. A copy is saved as USAGE_STATS in your own Apify key-value store, so you can see the exact record created for your run.

Set disableUsageStats to true in the input to opt out. Nothing is sent then; your USAGE_STATS record only says that statistics were disabled.

Only these fields are recorded:

• schema version, Actor name and build number;
• UTC start and finish hour (not a precise timestamp);
• run duration, number of results and time to the first result, each as a coarse range;
• whether the result was empty, the end status, and an error type from a fixed list;
• memory setting and counts of charged events;
• names of the input fields you set, never their values;
• the selected option for input fields that offer a fixed list of choices (for example a sort order).

We do not collect input text, search terms, URLs, domains, usernames, email addresses, names, proxy credentials, tokens, scraped records, output items, raw error messages, stack traces, or hashes of any of those values. Records are kept for no longer than 13 months, used only as aggregated operational statistics, and never sold or shared.

Additional fields (Phase 2)

This Actor also records your Apify user ID, whether Apify marks the account as paying, the size range of list inputs, the selected country when the input offers a fixed list of countries, and one category from a fixed Actor taxonomy. We use these fields only for aggregate reliability, repeat-use and cross-Actor analysis; reports suppress any cell with fewer than five distinct users.

The same disableUsageStats: true input flag turns these fields off too. The user ID is removed after 13 months; we do not export, sell, share, or attempt to re-identify this data.

Run-outcome signals (v2)

To learn whether a run did what it was asked to do, the record also holds a few more coarse ranges and yes/no flags. None of them contains content:

• the result limit you asked for (a range, when the input has one) and what share of it was delivered;
• results delivered per input item you listed (a range);
• output quality as ranges: how fully the result fields were filled, the share of rows that look like errors, the share of duplicate rows, and how many different fields appeared. These are counted in memory while results are saved; no result content is kept;
• how the run was started (console, API, schedule, webhook, another Actor);
• how it ended: stopped by you, timed out, reached the requested limit, stopped by the charge limit, and how many times the platform moved the run;
• if this Actor reports it: how many items to process worked or failed (ranges) and one failure reason from a fixed list;
• a short code made from the names of the input fields you set, never their values.

Repeat-run fingerprint (v2)

When your Apify user ID is recorded (see above), the record also holds an 8-character one-way code made from your input (proxy settings left out) and this Actor's name. It only lets us see that the same account ran the same input again soon after an unsatisfying run; we never see the input itself. It is stored only in the database, never published, and reports use it in aggregate with the same five-user minimum. It is the one exception to the statement above that no hashes are collected, and disableUsageStats: true turns it off.