# r/MachineLearning subreddit metadata example

**Use case:** 

Retrieve community details, policy flags, media, and archive totals for r/MachineLearning.

## Input

```json
{
  "subreddits": [
    "https://www.reddit.com/r/MachineLearning/"
  ],
  "includeFullDescription": true,
  "maxItems": 1,
  "maxConcurrency": 1
}
```

## Output

```json
{
  "name": {
    "label": "Subreddit",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "subscribers": {
    "label": "Subscribers",
    "format": "number"
  },
  "communityType": {
    "label": "Type",
    "format": "string"
  },
  "isNsfw": {
    "label": "NSFW",
    "format": "boolean"
  },
  "archivePostCount": {
    "label": "Archived posts",
    "format": "number"
  },
  "archiveCommentCount": {
    "label": "Archived comments",
    "format": "number"
  },
  "createdAt": {
    "label": "Created",
    "format": "string"
  },
  "canonicalUrl": {
    "label": "Reddit URL",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Subreddit Metadata Scraper](https://apify.com/automation-lab/reddit-subreddit-metadata-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/reddit-subreddit-metadata-scraper) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/reddit-subreddit-metadata-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).
