# 🔴 Reddit Subreddit & Keyword Post Monitor (`snuggly_beanie_970/reddit-subreddit-new-post-monitor`) Actor

🔴 Monitor newest subreddit posts and keyword search feeds without login or OAuth. 📝 Export stable IDs, authors, timestamps, clean body text and links. ✅ Rate-limit handling, date/seen-ID checkpoints and free duplicates.

- **URL**: https://apify.com/snuggly\_beanie\_970/reddit-subreddit-new-post-monitor.md
- **Developed by:** [Ilia](https://apify.com/snuggly_beanie_970) (community)
- **Categories:** Social media, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 new reddit posts

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 Posts, Search, Media & Thread Comments

Monitor public Reddit posts through Reddit's Atom feeds. No Reddit account, OAuth app, API key, cookies, browser or proxy is required.

### 📤 What you get

- New, Hot, Top, or Controversial subreddit feeds with selectable time windows;
- keyword search globally or within one subreddit;
- 35 analysis-ready fields per post: stable ID, position, title, clean body, original HTML, author, exact timestamp and URLs;
- extracted outbound links/domains, images, videos, combined media, mentioned users/subreddits, and emails;
- post-type classification plus title/body/word counts and post age;
- optional public thread comments embedded inside the paid post row;
- date, keyword, body-length, seen-ID and per-feed result filters;
- Overview and Media dataset views.

### ⚡ Cost and reliability controls

Only delivered matching posts are charged. Duplicate IDs, old/short filtered rows and failed/private feeds are free. The Actor honors Reddit's `X-Ratelimit-Reset` response and spaces feed requests to avoid hammering the public endpoint.

### 🚀 Example

```json
{
  "subreddits": ["python", "r/webdev"],
  "searchQueries": ["API launch", "developer tool"],
  "searchSubreddit": "startups",
  "postedAfter": "2026-08-30",
  "seenPostIds": [],
  "minimumTextLength": 0,
  "sort": "new",
  "includeComments": false
}
```

### 🚀 Popular use cases

- brand and product mention monitoring;
- customer-pain and market research;
- new-question alerts for community teams;
- lead and opportunity discovery by keyword;
- scheduled ingestion into Sheets, Slack, databases, Make or n8n.

### 🔌 Automation

Save the input as an Apify Task, schedule it, and pass previous `postId` values into `seenPostIds`. Every dataset is available through Apify API, webhooks, MCP and standard JSON/CSV/Excel exports.

### 📥 Complete input reference

| Field | Type | Default | Purpose |
|---|---|---:|---|
| `subreddits` | array | `["python"]` | Names, r/name values or reddit.com/r/name URLs. |
| `searchQueries` | array | `[]` | Optional Reddit keyword queries. |
| `searchSubreddit` | string | `""` | Optional subreddit applied to every search query. |
| `sort` | string | `"new"` | Post ordering for subreddit feeds and searches. |
| `time` | string | `"all"` | Time range used by Top and Controversial sorting. |
| `maxPostsPerFeed` | integer | `25` | Maximum paid post rows per subreddit or search feed. |
| `postedAfter` | string | `""` | Optional inclusive ISO date or YYYY-MM-DD checkpoint. |
| `seenPostIds` | array | `[]` | Stable t3 IDs skipped on scheduled runs. |
| `minimumTextLength` | integer | `0` | Skip posts with a shorter clean body. |
| `keyword` | string | `""` | Optional case-insensitive post filter. |
| `includeComments` | boolean | `false` | Embed public thread comments into each post row. |
| `maxCommentsPerPost` | integer | `20` | Maximum nested thread comments embedded in each post row. |
| `requestDelayMs` | integer | `11000` | Delay between feeds and thread-detail requests. |

### 📤 Complete output reference

The default dataset is exportable as JSON, CSV, Excel, XML or RSS. Fields remain stable for scheduled runs and API integrations.

| Field | Type |
|---|---|
| `recordType` | string |
| `sourceType` | string |
| `searchQuery` | string / null |
| `position` | integer |
| `postId` | string |
| `subreddit` | string |
| `postTitle` | string |
| `body` | string |
| `bodyHtml` | string / null |
| `author` | string / null |
| `publishedAt` | string |
| `updatedAt` | string |
| `postUrl` | string |
| `oldRedditUrl` | string |
| `externalUrl` | string / null |
| `outboundLinks` | array |
| `outboundDomain` | string / null |
| `allLinks` | array |
| `imageUrls` | array |
| `videoUrls` | array |
| `mediaUrls` | array |
| `hasMedia` | boolean |
| `postType` | string |
| `titleLength` | integer |
| `bodyLength` | integer |
| `bodyWordCount` | integer |
| `ageHours` | number / null |
| `mentionedUsers` | array |
| `mentionedSubreddits` | array |
| `emails` | array |
| `comments` | array |
| `includedCommentCount` | integer |
| `scrapedAt` | string |
| `parsePath` | string |
| `parseConfidence` | number |

### 🔌 API & integrations

Run this Actor from the Apify Console, API, CLI, MCP, Make, Zapier or n8n. Replace the Actor identifier and token in this template:

```bash
curl -X POST "https://api.apify.com/v2/acts/reddit-subreddit-new-post-monitor/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'
```

Results are stored in the run's default dataset and can be forwarded with Apify webhooks or scheduled Tasks.

### 🔎 Search keywords

Reddit Posts, Search, Media & Thread Comments — No Login, reddit, posts, search, media, thread, comments, login, subreddit, new, post, monitor, Apify Actor, scraper API, structured data, scheduled monitor, automation.

### 💰 Pricing

Billing is tied to successfully delivered result events. Empty, filtered, duplicate or failed records are not charged as results. Open the **Pricing** tab for the current per-event rate before starting a run, and use Apify's maximum-charge control to enforce a hard budget.

# Actor input Schema

## `subreddits` (type: `array`):

Names, r/name values or reddit.com/r/name URLs.

## `searchQueries` (type: `array`):

Optional Reddit keyword queries.

## `searchSubreddit` (type: `string`):

Optional subreddit applied to every search query.

## `sort` (type: `string`):

Post ordering for subreddit feeds and searches.

## `time` (type: `string`):

Time range used by Top and Controversial sorting.

## `maxPostsPerFeed` (type: `integer`):

Maximum paid post rows per subreddit or search feed.

## `postedAfter` (type: `string`):

Optional inclusive ISO date or YYYY-MM-DD checkpoint.

## `seenPostIds` (type: `array`):

Stable t3 IDs skipped on scheduled runs.

## `minimumTextLength` (type: `integer`):

Skip posts with a shorter clean body.

## `keyword` (type: `string`):

Optional case-insensitive post filter.

## `includeComments` (type: `boolean`):

Embed public thread comments into each post row.

## `maxCommentsPerPost` (type: `integer`):

Maximum nested thread comments embedded in each post row.

## `requestDelayMs` (type: `integer`):

Delay between feeds and thread-detail requests.

## Actor input object example

```json
{
  "subreddits": [
    "python"
  ],
  "searchQueries": [],
  "searchSubreddit": "",
  "sort": "new",
  "time": "all",
  "maxPostsPerFeed": 25,
  "postedAfter": "",
  "seenPostIds": [],
  "minimumTextLength": 0,
  "keyword": "",
  "includeComments": false,
  "maxCommentsPerPost": 20,
  "requestDelayMs": 11000
}
```

# Actor output Schema

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("snuggly_beanie_970/reddit-subreddit-new-post-monitor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("snuggly_beanie_970/reddit-subreddit-new-post-monitor").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 '{}' |
apify call snuggly_beanie_970/reddit-subreddit-new-post-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,snuggly_beanie_970/reddit-subreddit-new-post-monitor"
        }
    }
}

```

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/tTJ8ckEHArsRPi9pw/builds/IMyxLlHS282K9RXfd/openapi.json