MCPInstall

reddit-api

Reddit API with PRAW (Python) and Snoowrap (Node.js)

Installs
316
Last 24h
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/alinaqi/maggy --skill reddit-api
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads reddit-api automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Reddit API Skill

For integrating Reddit data into applications - fetching posts, comments, subreddits, and user data.

Sources: Reddit API Docs | OAuth2 Wiki | PRAW Docs


Setup

1. Create Reddit App

  1. Go to https://www.reddit.com/prefs/apps
  2. Click "Create App" or "Create Another App"
  3. Fill in:
    • Name: Your app name
    • App type:
      • script - For personal use / bots you control
      • web app - For server-side apps with user auth
      • installed app - For mobile/desktop apps
    • Redirect URI: http://localhost:8000/callback (for dev)
  4. Note your client_id (under app name) and client_secret

2. Environment Variables

# .env
REDDIT_CLIENT_ID=your_client_id
REDDIT_CLIENT_SECRET=your_client_secret
REDDIT_USER_AGENT=YourApp/1.0 by YourUsername
REDDIT_USERNAME=your_username        # For script apps only
REDDIT_PASSWORD=your_password        # For script apps only

User-Agent Format: <platform>:<app_id>:<version> (by /u/<username>)


Rate Limits

TierLimitNotes
OAuth authenticated100 QPMPer OAuth client ID
Non-authenticatedBlockedMust use OAuth
  • Limits averaged over 10-minute window
  • Include User-Agent header to avoid blocks
  • Respect X-Ratelimit-* response headers

Python: PRAW (Recommended)

Installation

pip install praw
# or
uv add praw

Script App (Personal Use / Bots)

import praw
from pydantic_settings import BaseSettings

class RedditSettings(BaseSettings):
    reddit_client_id: str
    reddit_client_secret: str
    reddit_user_agent: str
    reddit_username: str
    reddit_password: str

    class Config:
        env_file = ".env"

settings = RedditSettings()

reddit = praw.Reddit(
    client_id=settings.reddit_client_id,
    client_secret=settings.reddit_client_secret,
    user_agent=settings.reddit_user_agent,
    username=settings.reddit_username,
    password=settings.reddit_password,
)

# Verify authentication
print(f"Logged in as: {reddit.user.me()}")

Read-Only (No User Auth)

import praw

reddit = praw.Reddit(
    client_id="your_client_id",
    client_secret="your_client_secret",
    user_agent="YourApp/1.0 by YourUsername",
)

# Read-only mode - can browse, can't post/vote
reddit.read_only = True

Common Operations

# Get subreddit posts
subreddit = reddit.subreddit("python")

# Hot posts
for post in subreddit.hot(limit=10):
    print(f"{post.title} - {post.score} upvotes")

# New posts
for post in subreddit.new(limit=10):
    print(post.title)

# Search posts
for post in subreddit.search("pydantic", limit=5):
    print(post.title)

# Get specific post
submission = reddit.submission(id="abc123")
print(submission.title)
print(submission.selftext)

# Get comments
submission.comments.replace_more(limit=0)  # Flatten comment tree
for comment in submission.comments.list():
    print(f"{comment.author}: {comment.body[:100]}")

Posting & Voting (Requires Auth)

# Submit text post
subreddit = reddit.subreddit("test")
submission = subreddit.submit(
    title="Test Post",
    selftext="This is the body of my post."
)

# Submit link post
submission = subreddit.submit(
    title="Check this out",
    url="https://example.com"
)

# Vote
submission.upvote()
submission.downvote()
submission.clear_vote()

# Comment
submission.reply("Great post!")

# Reply to comment
comment = reddit.comment(id="xyz789")
comment.reply("I agree!")

Streaming (Real-time)

# Stream new posts
for post in reddit.subreddit("python").stream.submissions():
    print(f"New post: {post.title}")
    # Process post...

# Stream new comments
for comment in reddit.subreddit("python").stream.comments():
    print(f"New comment by {comment.author}: {comment.body[:50]}")

User Data

# Get user info
user = reddit.redditor("spez")
print(f"Karma: {user.link_karma + user.comment_karma}")

# User's posts
for post in user.submissions.new(limit=5):
    print(post.title)

# User's comments
for comment in user.comments.new(limit=5):
    print(comment.body[:100])

TypeScript / Node.js: Snoowrap

Installation

npm install snoowrap
# or
pnpm add snoowrap

Setup

import Snoowrap from "snoowrap";

const reddit = new Snoowrap({
  userAgent: "YourApp/1.0 by YourUsername",
  clientId: process.env.REDDIT_CLIENT_ID!,
  clientSecret: process.env.REDDIT_CLIENT_SECRET!,
  username: process.env.REDDIT_USERNAME!,
  password: process.env.REDDIT_PASSWORD!,
});

// Configure rate limiting
reddit.config({
  requestDelay: 1000,  // 1 second between requests
  continueAfterRatelimitError: true,
});

Common Operations

// Get hot posts from subreddit
const posts = await reddit.getSubreddit("typescript").getHot({ limit: 10 });
posts.forEach((post) => {
  console.log(`${post.title} - ${post.score} upvotes`);
});

// Search posts
const results = await reddit.getSubreddit("programming").search({
  query: "typescript",
  sort: "relevance",
  time: "month",
  limit: 10,
});

// Get specific post
const submission = await reddit.getSubmission("abc123").fetch();
console.log(submission.title);

// Get comments
const comments = await submission.comments.fetchAll();
comments.forEach((comment) => {
  console.log(`${comment.author.name}: ${comment.body.slice(0, 100)}`);
});

Posting

// Submit text post
const post = await reddit.getSubreddit("test").submitSelfpost({
  title: "Test Post",
  text: "This is the body.",
});

// Submit link
const linkPost = await reddit.getSubreddit("test").submitLink({
  title: "Check this out",
  url: "https://example.com",
});

// Vote and comment
await post.upvote();
await post.reply("Great post!");

Direct API (No Library)

Python with httpx

import httpx
import base64
from pydantic import BaseModel

class RedditClient:
    def __init__(self, client_id: str, client_secret: str, user_agent: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.user_agent = user_agent
        self.access_token: str | None = None
        self.client = httpx.AsyncClient()

    async def authenticate(self) -> None:
        """Get application-only OAuth token."""
        auth = base64.b64encode(
            f"{self.client_id}:{self.client_secret}".encode()
        ).decode()

        response = await self.client.post(
            "https://www.reddit.com/api/v1/access_token",
            headers={
                "Authorization": f"Basic {auth}",
                "User-Agent": self.user_agent,
            },
            data={
                "grant_type": "client_credentials",
            },
        )
        response.raise_for_status()
        self.access_token = response.json()["access_token"]

    async def get_posts(self, subreddit: str, sort: str = "hot", limit: int = 10) -> list[dict]:
        """Get posts from a subreddit."""
        if not self.access_token:
            await self.authenticate()

        response = await self.client.get(
            f"https://oauth.reddit.com/r/{subreddit}/{sort}",
            headers={
                "Authorization": f"Bearer {self.access_token}",
                "User-Agent": self.user_agent,
            },
            params={"limit": limit},
        )
        response.raise_for_status()
        return [post["data"] for post in response.json()["data"]["children"]]

    async def close(self) -> None:
        await self.client.aclose()


# Usage
async def main():
    client = RedditClient(
        client_id="your_id",
        client_secret="your_secret",
        user_agent="YourApp/1.0",
    )
    try:
        posts = await client.get_posts("python", limit=5)
        for post in posts:
            print(f"{post['title']} - {post['score']} upvotes")
    finally:
        await client.close()

TypeScript with fetch

interface RedditPost {
  title: string;
  score: number;
  url: string;
  selftext: string;
  author: string;
  created_utc: number;
}

class RedditClient {
  private accessToken: string | null = null;

  constructor(
    private clientId: string,
    private clientSecret: string,
    private userAgent: string
  ) {}

  async authenticate(): Promise<void> {
    const auth = Buffer.from(`${this.clientId}:${this.clientSecret}`).toString("base64");

    const response = await fetch("https://www.reddit.com/api/v1/access_token", {
      method: "POST",
      headers: {
        Authorization: `Basic ${auth}`,
        "User-Agent": this.userAgent,
        "Content-Type": "application/x-www-form-urlencoded",
      },
      body: "grant_type=client_credentials",
    });

    const data = await response.json();
    this.accessToken = data.access_token;
  }

  async getPosts(subreddit: string, sort = "hot", limit = 10): Promise<RedditPost[]> {
    if (!this.accessToken) await this.authenticate();

    const response = await fetch(
      `https://oauth.reddit.com/r/${subreddit}/${sort}?limit=${limit}`,
      {
        headers: {
          Authorization: `Bearer ${this.accessToken}`,
          "User-Agent": this.userAgent,
        },
      }
    );

    const data = await response.json();
    return data.data.children.map((child: any) => child.data);
  }
}

OAuth2 Web Flow (User Authorization)

For apps where users log in with their Reddit account:

from fastapi import FastAPI, Request
from fastapi.responses import RedirectResponse
import httpx
import secrets

app = FastAPI()
state_store: dict[str, bool] = {}

REDDIT_CLIENT_ID = "your_client_id"
REDDIT_CLIENT_SECRET = "your_client_secret"
REDIRECT_URI = "http://localhost:8000/callback"

@app.get("/login")
async def login():
    state = secrets.token_urlsafe(16)
    state_store[state] = True

    auth_url = (
        f"https://www.reddit.com/api/v1/authorize"
        f"?client_id={REDDIT_CLIENT_ID}"
        f"&response_type=code"
        f"&state={state}"
        f"&redirect_uri={REDIRECT_URI}"
        f"&duration=permanent"
        f"&scope=identity read submit vote"
    )
    return RedirectResponse(auth_url)

@app.get("/callback")
async def callback(code: str, state: str):
    if state not in state_store:
        return {"error": "Invalid state"}
    del state_store[state]

    # Exchange code for token
    async with httpx.AsyncClient() as client:
        response = await client.post(
            "https://www.reddit.com/api/v1/access_token",
            auth=(REDDIT_CLIENT_ID, REDDIT_CLIENT_SECRET),
            data={
                "grant_type": "authorization_code",
                "code": code,
                "redirect_uri": REDIRECT_URI,
            },
            headers={"User-Agent": "YourApp/1.0"},
        )

    tokens = response.json()
    # Store tokens securely, associate with user session
    return {"access_token": tokens["access_token"][:10] + "..."}

Available Scopes

ScopeDescription
identityAccess username and signup date
readAccess posts and comments
submitSubmit links and comments
voteUpvote/downvote content
editEdit posts and comments
historyAccess voting history
subscribeManage subreddit subscriptions
mysubredditsAccess subscribed subreddits
privatemessagesAccess private messages
saveSave/unsave content

Full list: https://www.reddit.com/api/v1/scopes


Project Structure

project/
├── src/
│   ├── reddit/
│   │   ├── __init__.py
│   │   ├── client.py         # Reddit client wrapper
│   │   ├── models.py         # Pydantic models for posts/comments
│   │   └── scraper.py        # Data collection logic
│   └── main.py
├── .env
└── pyproject.toml

Pydantic Models

from pydantic import BaseModel
from datetime import datetime

class RedditPost(BaseModel):
    id: str
    title: str
    author: str
    subreddit: str
    score: int
    upvote_ratio: float
    url: str
    selftext: str
    created_utc: datetime
    num_comments: int
    is_self: bool

    @classmethod
    def from_praw(cls, submission) -> "RedditPost":
        return cls(
            id=submission.id,
            title=submission.title,
            author=str(submission.author),
            subreddit=submission.subreddit.display_name,
            score=submission.score,
            upvote_ratio=submission.upvote_ratio,
            url=submission.url,
            selftext=submission.selftext,
            created_utc=datetime.fromtimestamp(submission.created_utc),
            num_comments=submission.num_comments,
            is_self=submission.is_self,
        )

class RedditComment(BaseModel):
    id: str
    author: str
    body: str
    score: int
    created_utc: datetime
    parent_id: str
    is_submitter: bool

Anti-Patterns

  • No User-Agent - Reddit blocks requests without proper User-Agent
  • Ignoring rate limits - Respect 100 QPM, check X-Ratelimit-* headers
  • Storing credentials in code - Use environment variables
  • Not handling MoreComments - Use replace_more() in PRAW
  • Polling instead of streaming - Use .stream for real-time data
  • No error handling - Handle 429 (rate limit), 403 (forbidden), 404 (not found)

Quick Reference

# PRAW installation
pip install praw

# Snoowrap installation
npm install snoowrap

# Test authentication
python -c "import praw; r = praw.Reddit(...); print(r.user.me())"

Endpoints

OperationEndpoint
Auth tokenPOST https://www.reddit.com/api/v1/access_token
API requestshttps://oauth.reddit.com/...
Subreddit postsGET /r/{subreddit}/{sort}
SubmissionGET /comments/{id}
User infoGET /user/{username}/about
Submit postPOST /api/submit
VotePOST /api/vote

FAQ

What does the reddit-api skill do?

Reddit API with PRAW (Python) and Snoowrap (Node.js)

How do I install reddit-api?

Run npx skills add https://github.com/alinaqi/maggy --skill reddit-api in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/reddit-api/ (personal) or .claude/skills/reddit-api/ (project).

Which AI agents can use reddit-api?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is reddit-api safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains reddit-api?

It is published by alinaqi in alinaqi/maggy. It has 316 recorded installs.

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