# Monitor brand mentions on Reddit

**Use case:** 

Monitor recent Reddit brand mentions and export matching posts and comments with text, scores, authors, timestamps, communities, and links.

## Input

```json
{
  "query": "Notion",
  "maxResults": 200,
  "contentType": "both",
  "sort": "new",
  "timeFilter": "week",
  "subreddits": [],
  "autoDiscoverSubreddits": true,
  "maxSubreddits": 20
}
```

## Output

```json
{
  "_type": {
    "label": "Type",
    "format": "text"
  },
  "_status": {
    "label": "Status",
    "format": "text"
  },
  "id": {
    "label": "ID",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "author": {
    "label": "Author",
    "format": "text"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "text"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "commentCount": {
    "label": "Comments",
    "format": "number"
  },
  "upvoteRatio": {
    "label": "Upvote Ratio",
    "format": "number"
  },
  "createdAt": {
    "label": "Created",
    "format": "text"
  },
  "permalink": {
    "label": "Permalink",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "body": {
    "label": "Body",
    "format": "text"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "postHint": {
    "label": "Post Hint",
    "format": "text"
  },
  "flair": {
    "label": "Flair",
    "format": "text"
  },
  "thumbnail": {
    "label": "Thumbnail",
    "format": "link"
  },
  "languageCode": {
    "label": "Language",
    "format": "text"
  },
  "isSelfPost": {
    "label": "Self Post",
    "format": "boolean"
  },
  "isNsfw": {
    "label": "NSFW",
    "format": "boolean"
  },
  "distinguishedAs": {
    "label": "Distinguished",
    "format": "text"
  },
  "parentId": {
    "label": "Parent ID",
    "format": "text"
  },
  "postTitle": {
    "label": "Post Title",
    "format": "text"
  },
  "postId": {
    "label": "Post ID",
    "format": "text"
  },
  "postUrl": {
    "label": "Post URL",
    "format": "link"
  },
  "postScore": {
    "label": "Post Score",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Search Scraper - 3,000+ Results in 10 Seconds](https://apify.com/clearpath/reddit-search-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/clearpath/reddit-search-scraper) 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/clearpath/reddit-search-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).