Install
mkdir -p .claude/skills/reddit-api && curl -L -o skill.zip "https://mcp.directory/api/skills/download/1316" && unzip -o skill.zip -d .claude/skills/reddit-api && rm skill.zipInstalls to .claude/skills/reddit-api
About this skill
Reddit API Skill
Load with: base.md + [language].md
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
- Go to https://www.reddit.com/prefs/apps
- Click "Create App" or "Create Another App"
- Fill in:
- Name: Your app name
- App type:
script- For personal use / bots you controlweb app- For server-side apps with user authinstalled app- For mobile/desktop apps
- Redirect URI:
http://localhost:8000/callback(for dev)
- Note your
client_id(under app name) andclient_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
| Tier | Limit | Notes |
|---|---|---|
| OAuth authenticated | 100 QPM | Per OAuth client ID |
| Non-authenticated | Blocked | Must use OAuth |
- Limits averaged over 10-minute window
- Include
User-Agentheader 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)
---
*Content truncated.*
More by alinaqi
View all skills by alinaqi →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
pdf-to-markdown
aliceisjustplaying
Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.
Related MCP Servers
Browse all serversAccess Reddit content with our API for subreddit search, post retrieval, and trend analysis. Efficient Reddit site searc
Learn how to use Python to read a file and manipulate local files safely through the Filesystem API.
Connect Blender to Claude AI for seamless 3D modeling. Use AI 3D model generator tools for faster, intuitive, interactiv
Cloudflare Container Sandbox lets your MCP client run secure, sandboxed LLM code in Node or Python. Run code safely in t
Create and edit PowerPoint presentations in Python with Office PowerPoint. Use python pptx or pptx python tools to add s
AI-driven CAD modeling with FreeCAD: control design workflows, generate logos, and edit objects using remote Python scri
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.