# WallStreetBets Top Posts — Weekly Retail Sentiment Feed

**Use case:** 

Returns the top posts of the past week from r/wallstreetbets, r/stocks and r/investing — 25 per subreddit, 75 rows. Each row gives the title, author, subreddit, permalink, post timestamp and the complete body text, so you can mine ticker mentions, gauge how retail is positioned, or track which trades the crowd keeps returning to. Switch the time window to day, month or year to widen or tighten the

## Input

```json
{
  "subreddits": [
    "wallstreetbets",
    "stocks",
    "investing"
  ],
  "sort": "top",
  "time": "week",
  "searchQuery": "gpu prices",
  "searchTerms": [
    "#nvidia",
    "rtx 5090",
    "$TSLA"
  ],
  "searchSort": "new",
  "usernames": [
    "spez"
  ],
  "postUrls": [
    "https://www.reddit.com/r/programming/comments/abc123/some_post/"
  ],
  "limitPerSource": 25,
  "maxItems": 75,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "subreddit": {
    "label": "Subreddit"
  },
  "title": {
    "label": "Title"
  },
  "author": {
    "label": "Author"
  },
  "created": {
    "label": "Created"
  },
  "permalink": {
    "label": "Permalink"
  },
  "contentText": {
    "label": "Content text"
  }
}
```

## About this Actor

This example demonstrates how to use [Reddit Scraper — Posts, Comments & Search (No Login)](https://apify.com/pepeschuster/reddit-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/pepeschuster/reddit-scraper.md) 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.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/pepeschuster/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).