# Reddit MCP Actor Task

**Use case:** 

Export archived Reddit posts, comment threads, scoped keyword matches and user history with standard input/output keys, parent context, UTC dates and shared result limits. Download JSON, CSV or Excel for research and analysis. No Reddit login or proxy setup required.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/Python/comments/18vkgtu/"
    },
    {
      "url": "https://www.reddit.com/r/Python/comments/18wacbi/"
    },
    {
      "url": "https://www.reddit.com/r/MachineLearning/comments/1916pu3/"
    }
  ],
  "searchPosts": true,
  "searchComments": false,
  "crawlCommentsPerPost": false,
  "includeCommunity": false,
  "includeUserProfiles": false,
  "includeUserComments": true,
  "searchSort": "new",
  "searchTime": "all",
  "includeNSFW": false,
  "onlyWithFlair": false,
  "maxPostsCount": 1,
  "maxCommentsCount": 100,
  "maxCommentsPerPost": 100,
  "maxCommunitiesCount": 2,
  "maxTotalItems": 3,
  "maxRequests": 3,
  "outputProfile": "standard",
  "includeParentData": true,
  "maxParentDepth": 20,
  "resumeFromState": true,
  "dryRun": false,
  "skipInvalidTargets": false,
  "continueOnError": true,
  "verboseLog": false,
  "outputVersion": 2,
  "limit": "100",
  "windowDays": 1,
  "minWindowSeconds": 60,
  "timeoutSeconds": 10,
  "retries": 1,
  "retrySleepSeconds": 1,
  "requestDelayMs": 0,
  "baseUrl": "https://arctic-shift.photon-reddit.com/api"
}
```

## Output

```json
{
  "dataType": {
    "label": "Data type",
    "format": "string"
  },
  "authorName": {
    "label": "Author name",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "body": {
    "label": "Body",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "integer"
  },
  "commentsCount": {
    "label": "Comments count",
    "format": "integer"
  },
  "communityName": {
    "label": "Community name",
    "format": "string"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Reddit Scraper – Posts, Comment Threads & User History Actor is ready to run with the inputs already set for "Reddit MCP Actor Task". [Sign up or log in](https://console.apify.com/create-task-from-example/52LMZBhKuveW4U9oX) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Reddit MCP Actor Task" task

The Reddit Scraper – Posts, Comment Threads & User History Actor will start running based on the input automatically. You can also change all the input fields, like reddit urls, collect posts, and more, to match your specific use case.

### 3. Receive the "Reddit MCP Actor Task" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as data type, author name, title, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Reddit MCP Actor Task" task via API](https://apify.com/aster_data/reddit-mcp-actor.md).

## About this Actor

This example demonstrates how to use [Reddit Scraper – Posts, Comment Threads & User History](https://apify.com/aster_data/reddit-mcp-actor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/aster_data/reddit-mcp-actor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/aster_data/reddit-mcp-actor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).