# Export a full Reddit comment thread as JSON

**Use case:** 

Pull every comment from one Reddit discussion, nesting depth and parent id included, so you can rebuild the thread or run sentiment on it offline.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/programming/comments/luq9oz/how_i_cut_gta_online_loading_times_by_70/"
    }
  ],
  "subreddits": [],
  "listingSort": "hot",
  "time": "all",
  "searches": [],
  "searchCommunityName": "",
  "users": [],
  "postedAfter": "",
  "postedBefore": "",
  "commentedAfter": "",
  "commentedBefore": "",
  "includeNSFW": false,
  "maxItems": 200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "type": {
    "label": "Row type",
    "format": "string"
  },
  "id": {
    "label": "ID",
    "format": "string"
  },
  "postId": {
    "label": "Post ID",
    "format": "string"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "integer"
  },
  "depth": {
    "label": "Depth",
    "format": "integer"
  },
  "parentId": {
    "label": "Parent fullname",
    "format": "string"
  },
  "createdUtc": {
    "label": "Created (UTC, ISO)",
    "format": "string"
  },
  "body": {
    "label": "Comment text",
    "format": "string"
  },
  "permalink": {
    "label": "Permalink",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Data Scraper: Posts, Comments, Users, Monitoring](https://apify.com/actorforgehq/reddit-data-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/actorforgehq/reddit-data-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`.
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- **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/actorforgehq/reddit-data-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).