# Reddit Top Posts Digest (`noetic_caption/reddit-digest`) Actor

Get top posts from any subreddits — no API key needed. Scores, comments, flairs, authors, multiple subs at once. For AI training data, trend monitoring, digests, market research. RSS fallback keeps it working on strict networks.

- **URL**: https://apify.com/noetic\_caption/reddit-digest.md
- **Developed by:** [Kragent](https://apify.com/noetic_caption) (community)
- **Categories:** Agents, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Reddit Top Posts Digest

Pull the **top posts from any subreddits** in one run — **no API key needed**. Get clean structured JSON with scores, comment counts, flairs, authors, and links. Built for AI training data, trend monitoring, social listening, news digests, and market research.

### What you get

One dataset row per post, with:

| Field | Description |
|-------|-------------|
| `subreddit` | Which subreddit the post came from |
| `title` | Post title (HTML-decoded) |
| `score` | Upvote score |
| `num_comments` | Comment count |
| `upvote_ratio` | % upvoted |
| `flair` | Link flair (e.g. News, Discussion) |
| `url` | Permanent link to the post |
| `permalink` | Path component |
| `author` | Username |
| `created_utc` | Unix timestamp |
| `source` | `json` or `rss` (see below) |
| `selftext` | Post body (optional, toggle it on) |

### Features

- **Multiple subreddits at once** — `developersIndia, LocalLLaMA, MachineLearning` in one run
- **Time ranges** — top of the day, week, month, or all-time
- **Noise filter** — excludes meme/shitpost/joke flairs by default (configurable)
- **Minimum score filter** — only keep posts above your quality bar
- **RSS fallback** — if Reddit blocks direct JSON access (strict networks), it automatically falls back to RSS and tells you in the run summary
- **No API key, no cookies, no proxy setup** — works out of the box

### Example use cases

- **AI training data** — collect top discussion topics per niche, per day
- **Trend monitoring** — what's hot in r/LocalLLaMA this week vs last week
- **Social listening** — track sentiment and recurring themes in your industry
- **Content research** — find the posts worth writing about
- **Market research** — see what users complain about / ask for in competitor subreddits

### Input

| Field | Default | Notes |
|-------|---------|-------|
| Subreddits | 6 curated subs | Comma or space separated, no `r/` needed |
| Time range | day | today / week / month / all-time |
| Posts per sub | 10 | 1–100 |
| Min score | 5 | 0 = keep everything |
| Exclude flairs | meme,shitpost,joke,funny | comma-separated keywords |
| Include post body | false | adds `selftext` |

### Pricing

Pay per result: **$1.00 per 1,000 posts**. Tiny runs are nearly free. No subscription, no hidden usage fees.

### Limitations

- Public subreddits only (private/restricted subs need auth, which this actor doesn't handle)
- Scores/comments may be missing when the RSS fallback kicks in (reported in the run summary)

***

Questions, feedback, or want a custom variant? Open an issue or contact the publisher. Built with ❤️ by Kragent.

# Actor input Schema

## `subreddits` (type: `string`):

One or more subreddit names, separated by commas or spaces (no r/ prefix needed). Example: developersIndia, LocalLLaMA, MachineLearning

## `timeFilter` (type: `string`):

Which top posts to fetch: top of the day, week, month, or all-time

## `limitPerSub` (type: `integer`):

How many top posts to fetch per subreddit (1-100)

## `minScore` (type: `integer`):

Only keep posts with at least this many upvotes. Set 0 to keep everything

## `excludeFlairs` (type: `string`):

Comma-separated flair keywords to filter out (meme, shitpost, etc). Case-insensitive substring match

## `includeSelftext` (type: `boolean`):

Include the self-text (post body) in the output. Adds size but gives full content

## `clientId` (type: `string`):

OPTIONAL. Free script app from reddit.com/prefs/apps. Without it the actor uses RSS mode (no scores/comment counts). With it, full data via the official API.

## `clientSecret` (type: `string`):

Secret for the script app above. Only needed if Client ID is provided.

## Actor input object example

```json
{
  "subreddits": "developersIndia, LocalLLaMA",
  "timeFilter": "day",
  "limitPerSub": 10,
  "minScore": 5,
  "excludeFlairs": "meme,shitpost,joke,funny",
  "includeSelftext": false
}
```

# Actor output Schema

## `results` (type: `string`):

JSON array of posts. Each row: subreddit, title, score, num\_comments, upvote\_ratio, flair, url, permalink, author, created\_utc, source.

## `output` (type: `string`):

Summary of the run: total posts, subreddits, time filter, modes used, and any errors.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "subreddits": "developersIndia, LocalLLaMA"
};

// Run the Actor and wait for it to finish
const run = await client.actor("noetic_caption/reddit-digest").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "subreddits": "developersIndia, LocalLLaMA" }

# Run the Actor and wait for it to finish
run = client.actor("noetic_caption/reddit-digest").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "subreddits": "developersIndia, LocalLLaMA"
}' |
apify call noetic_caption/reddit-digest --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,noetic_caption/reddit-digest"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5xD2f0BR8VLbKNYGl/builds/qOjeZXqEDah5Wf8oZ/openapi.json