# Reddit data for research: subreddit posts and comments

**Use case:** 

Build a research dataset from one or more subreddits: posts and comments with IDs, parent IDs, authors, scores and UTC timestamps, so threads can be rebuilt and analysed. Use the all_fields view for every column.

## Input

```json
{
  "includeComments": true,
  "mode": "subreddit_posts",
  "subreddits": [
    "science",
    "AskScience"
  ],
  "sort": "top",
  "timeFilter": "month",
  "searchQuery": "machine learning",
  "searchQueriesList": [],
  "searchSort": "relevance",
  "usernames": [
    "spez"
  ],
  "userContentType": "overview",
  "postUrls": [
    "https://www.reddit.com/r/Python/comments/1r19hu1/after_25_years_using_orms_i_switched_to_raw/"
  ],
  "maxCommentsPerPost": 50,
  "maxResults": 300,
  "includeNsfw": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "string"
  },
  "id": {
    "label": "ID",
    "format": "string"
  },
  "postId": {
    "label": "Post ID",
    "format": "string"
  },
  "postTitle": {
    "label": "Post (for comments)",
    "format": "string"
  },
  "parentId": {
    "label": "Reply to",
    "format": "string"
  },
  "depth": {
    "label": "Depth",
    "format": "number"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "title": {
    "label": "Post title",
    "format": "string"
  },
  "body": {
    "label": "Comment",
    "format": "string"
  },
  "selftext": {
    "label": "Post text",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "upvoteRatio": {
    "label": "Upvote ratio",
    "format": "number"
  },
  "controversiality": {
    "label": "Controversial",
    "format": "number"
  },
  "numComments": {
    "label": "Comments",
    "format": "number"
  },
  "subredditSubscribers": {
    "label": "Subreddit members",
    "format": "number"
  },
  "created": {
    "label": "Created",
    "format": "string"
  },
  "editedAt": {
    "label": "Edited",
    "format": "string"
  },
  "url": {
    "label": "Reddit URL",
    "format": "string"
  },
  "externalUrl": {
    "label": "Linked URL",
    "format": "string"
  },
  "mediaUrls": {
    "label": "Media",
    "format": "array"
  },
  "domain": {
    "label": "Domain",
    "format": "string"
  },
  "flair": {
    "label": "Flair",
    "format": "string"
  },
  "authorFlair": {
    "label": "Author flair",
    "format": "string"
  },
  "isSubmitter": {
    "label": "Is OP",
    "format": "boolean"
  },
  "distinguished": {
    "label": "Mod/admin",
    "format": "string"
  },
  "isDeleted": {
    "label": "Deleted",
    "format": "boolean"
  },
  "isRemoved": {
    "label": "Removed",
    "format": "boolean"
  },
  "isNSFW": {
    "label": "NSFW",
    "format": "boolean"
  },
  "isSpoiler": {
    "label": "Spoiler",
    "format": "boolean"
  },
  "isPinned": {
    "label": "Pinned",
    "format": "boolean"
  },
  "isLocked": {
    "label": "Locked",
    "format": "boolean"
  },
  "isArchived": {
    "label": "Archived",
    "format": "boolean"
  },
  "isVideo": {
    "label": "Video",
    "format": "boolean"
  },
  "isGallery": {
    "label": "Gallery",
    "format": "boolean"
  },
  "mediaOnly": {
    "label": "Media only",
    "format": "boolean"
  },
  "isOriginalContent": {
    "label": "OC",
    "format": "boolean"
  },
  "postHint": {
    "label": "Post type",
    "format": "string"
  },
  "thumbnail": {
    "label": "Thumbnail",
    "format": "string"
  },
  "crosspostParent": {
    "label": "Crosspost of",
    "format": "string"
  },
  "searchQuery": {
    "label": "Search query",
    "format": "string"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## How it works

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

The Reddit Scraper - Posts, Comments, Subreddits, No API Key Actor is ready to run with the inputs already set for "Reddit data for research: subreddit posts and comments". [Sign up or log in](https://console.apify.com/create-task-from-example/7JtffsLmPD01bfgHG) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Reddit data for research: subreddit posts and comments" task

The Reddit Scraper - Posts, Comments, Subreddits, No API Key Actor will start running based on the input automatically. You can also change all the input fields, like 💬 extract comments, 🎯 scraping mode, and more, to match your specific use case.

### 3. Receive the "Reddit data for research: subreddit posts and comments" 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 type, ID, post id, 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 data for research: subreddit posts and comments" task via API](https://apify.com/kalilfagundes.w/reddit-scraper.md).

## About this Actor

This example demonstrates how to use [Reddit Scraper - Posts, Comments, Subreddits, No API Key](https://apify.com/kalilfagundes.w/reddit-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kalilfagundes.w/reddit-scraper.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/kalilfagundes.w/reddit-scraper.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`).