# Monitor subreddits: only new posts each run

**Use case:** 

Schedule this task: every run delivers only the posts that appeared since the previous run, and a run with nothing new costs nothing.

## Input

```json
{
  "subreddits": [
    "Upwork",
    "freelance"
  ],
  "sort": "new",
  "time": "week",
  "searchSort": "new",
  "includeComments": false,
  "maxCommentsPerPost": 100,
  "commentSort": "confidence",
  "fetchBodies": true,
  "onlyNew": true,
  "maxItems": 200,
  "maxPostsPerSource": 100
}
```

## Output

```json
{
  "kind": {
    "label": "Kind",
    "format": "string"
  },
  "id": {
    "label": "Id",
    "format": "string"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "created_utc": {
    "label": "Posted",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "integer"
  },
  "upvote_ratio": {
    "label": "Upvote ratio",
    "format": "number"
  },
  "comment_count": {
    "label": "Comments",
    "format": "integer"
  },
  "post_type": {
    "label": "Type",
    "format": "string"
  },
  "flair": {
    "label": "Flair",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "permalink": {
    "label": "Permalink",
    "format": "string"
  },
  "body_text": {
    "label": "Text",
    "format": "string"
  },
  "body_html": {
    "label": "HTML",
    "format": "string"
  },
  "media": {
    "label": "Media",
    "format": "array"
  },
  "nsfw": {
    "label": "NSFW",
    "format": "boolean"
  },
  "stickied": {
    "label": "Stickied",
    "format": "boolean"
  },
  "locked": {
    "label": "Locked",
    "format": "boolean"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "award_count": {
    "label": "Awards",
    "format": "integer"
  },
  "post_id": {
    "label": "Post id",
    "format": "string"
  },
  "parent_id": {
    "label": "Parent id",
    "format": "string"
  },
  "depth": {
    "label": "Depth",
    "format": "integer"
  },
  "found_by": {
    "label": "Found by",
    "format": "string"
  },
  "fetched_at": {
    "label": "Read from Reddit",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Scraper — Posts, Comments, Search, Subreddit Monitoring](https://apify.com/moxlade/reddit-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/moxlade/reddit-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/moxlade/reddit-scraper.md

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).