# Reddit sentiment analysis data: posts and comments

**Use case:** 

Collect the posts and comments where people discuss a product, brand or stock, ready for a sentiment analysis model or an LLM. Each row has the text, score and date, so you can weight opinions by upvotes and track sentiment over time.

## Input

```json
{
  "includeComments": true,
  "mode": "search",
  "subreddits": [
    "python"
  ],
  "sort": "hot",
  "timeFilter": "week",
  "searchQuery": "\"iphone 17\" battery",
  "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": 30,
  "maxResults": 200,
  "includeNsfw": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "string"
  },
  "subreddit": {
    "label": "Subreddit",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "title": {
    "label": "Post title",
    "format": "string"
  },
  "postTitle": {
    "label": "Post (for comments)",
    "format": "string"
  },
  "body": {
    "label": "Comment",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "numComments": {
    "label": "Comments",
    "format": "number"
  },
  "created": {
    "label": "Created",
    "format": "string"
  },
  "url": {
    "label": "Reddit URL",
    "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 sentiment analysis data: posts and comments". [Sign up or log in](https://console.apify.com/create-task-from-example/fhyl2QRe992gQhKcM) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Reddit sentiment analysis data: 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 sentiment analysis data: 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, subreddit, author, 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 sentiment analysis data: 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`).
