# Find product ideas discussed on Reddit

**Use case:** 

Find product ideas discussed on Reddit. Prefilled, one-click run, export to JSON, CSV or Excel.

## Input

```json
{
  "subreddits": [
    "SomebodyMakeThis",
    "AppIdeas"
  ],
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/pics/"
    }
  ],
  "users": [
    "spez",
    "kn0thing"
  ],
  "communities": [
    "technology",
    "science"
  ],
  "searchQueries": [
    "python developer"
  ],
  "searchFor": [
    "posts"
  ],
  "searchInSubreddits": [
    "forhire"
  ],
  "sort": "new",
  "time": "month",
  "postDateLimit": "2026-01-01",
  "commentDateLimit": "2026-01-01",
  "searchTerms": [
    "hiring",
    "developer"
  ],
  "includeNSFW": false,
  "includeSelftext": true,
  "includeComments": false,
  "maxComments": 20,
  "maxCommentDepth": 4,
  "includeMedia": false,
  "maxItems": 100,
  "maxPostsPerSource": 50,
  "maxPages": 1,
  "ignoreStartUrls": false,
  "maxRetries": 3,
  "requestDelayMs": 300,
  "debug": false
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "flair": {
    "label": "Flair",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "integer"
  },
  "numComments": {
    "label": "Comments",
    "format": "integer"
  },
  "createdUtc": {
    "label": "Created (UTC)",
    "format": "string"
  },
  "selftext": {
    "label": "Text",
    "format": "string"
  },
  "outboundUrl": {
    "label": "Link",
    "format": "string"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "thumbnail": {
    "label": "Thumbnail",
    "format": "string"
  },
  "mediaUrls": {
    "label": "Media",
    "format": "array"
  },
  "nsfw": {
    "label": "NSFW",
    "format": "boolean"
  },
  "url": {
    "label": "Permalink",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Scraper - Fast, Comments,Data,Subreddits](https://apify.com/myagizm/reddit-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/myagizm/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/myagizm/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).