# Quick sample: openai

**Use case:** 

Reddit Scraper API configured for quick sample around “openai”. The saved input exposes queries, sort, timeFilter, maxResults, includeComments and uses a...

## Input

```json
{
  "queries": [
    "openai"
  ],
  "startUrls": [],
  "postUrls": [],
  "sort": "new",
  "timeFilter": "month",
  "maxResults": 10,
  "includeComments": false,
  "maxCommentsPerPost": 10,
  "maxCommentDepth": 10,
  "minScore": 1,
  "skipPinnedPosts": true,
  "monitorMode": "new-posts",
  "monitorStoreName": "reddit-ai-coding-tool-mentions",
  "maxConcurrency": 5,
  "requestDelaySecs": 0.65
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "author": {
    "label": "Author",
    "format": "text"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "text"
  },
  "score": {
    "label": "Score",
    "format": "text"
  },
  "upvoteRatio": {
    "label": "Upvote ratio",
    "format": "text"
  },
  "numComments": {
    "label": "Comments",
    "format": "text"
  },
  "created": {
    "label": "Created",
    "format": "text"
  },
  "flair": {
    "label": "Flair",
    "format": "text"
  },
  "domain": {
    "label": "Domain",
    "format": "text"
  },
  "selftext": {
    "label": "Content",
    "format": "text"
  },
  "permalink": {
    "label": "Permalink",
    "format": "link"
  },
  "sourceQuery": {
    "label": "Source query",
    "format": "text"
  },
  "changeType": {
    "label": "Change type",
    "format": "text"
  },
  "firstSeenAt": {
    "label": "First seen",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Scraper API - Posts, Comments & Monitoring](https://apify.com/thirdwatch/reddit-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/thirdwatch/reddit-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/thirdwatch/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).
