# Stocktwits Sentiment for TSLA, NVDA & AAPL — Latest Messages

**Use case:** 

Collect the latest Stocktwits messages for Tesla, Nvidia and Apple to track retail investor sentiment on the most-discussed stocks. Each row contains the message text, posting time, the author-tagged Bullish or Bearish sentiment, cashtags, like, reply and reshare counts, any attached price target, the author's username and follower count, and a link to the post.

## Input

```json
{
  "mode": "symbol",
  "symbols": [
    "TSLA",
    "NVDA",
    "AAPL"
  ],
  "usernames": [
    "jimcramer"
  ],
  "maxMessages": 15,
  "sentimentFilter": "",
  "minLikes": 0,
  "assetClassFilter": "",
  "filter": "all",
  "includeTrendingSymbolDetails": false,
  "onlyNewMessages": false,
  "monitorStoreName": "stocktwits-monitor",
  "onlyPriceTargets": false,
  "includeRawData": false,
  "legacyKeyAliases": true,
  "includeMeta": false,
  "concurrency": 5,
  "httpMaxConcurrency": 4,
  "requestDelaySecs": 0.34,
  "maxRetries": 3,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "createdAt": {
    "label": "Posted at",
    "format": "date"
  },
  "body": {
    "label": "Message"
  },
  "sentiment": {
    "label": "Sentiment"
  },
  "symbols": {
    "label": "Symbols",
    "format": "array"
  },
  "priceTarget": {
    "label": "Price target",
    "format": "number"
  },
  "hasPriceTarget": {
    "label": "Has target?",
    "format": "boolean"
  },
  "hasPriceSincePost": {
    "label": "Price-since-post?",
    "format": "boolean"
  },
  "likesTotal": {
    "label": "Likes",
    "format": "number"
  },
  "likeCount": {
    "label": "Like count",
    "format": "number"
  },
  "replyCount": {
    "label": "Replies",
    "format": "number"
  },
  "reshareCount": {
    "label": "Reshares",
    "format": "number"
  },
  "isReply": {
    "label": "Is reply?",
    "format": "boolean"
  },
  "isReshare": {
    "label": "Is reshare?",
    "format": "boolean"
  },
  "username": {
    "label": "Username"
  },
  "userName": {
    "label": "Display name"
  },
  "userFollowers": {
    "label": "Followers",
    "format": "number"
  },
  "userOfficial": {
    "label": "Verified?",
    "format": "boolean"
  },
  "chartUrl": {
    "label": "Chart",
    "format": "image"
  },
  "mediaUrl": {
    "label": "Media",
    "format": "image"
  },
  "mediaCount": {
    "label": "Media count",
    "format": "number"
  },
  "links": {
    "label": "Links",
    "format": "array"
  },
  "hashtags": {
    "label": "Hashtags",
    "format": "array"
  },
  "trending": {
    "label": "Trending?",
    "format": "boolean"
  },
  "trendingRank": {
    "label": "Trend rank",
    "format": "number"
  },
  "url": {
    "label": "Message link",
    "format": "link"
  }
}
```

## How it works

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

The Stocktwits Scraper Actor is ready to run with the inputs already set for "Stocktwits Sentiment for TSLA, NVDA & AAPL — Latest Messages". [Sign up or log in](https://console.apify.com/create-task-from-example/7euO0eEbTX1Tv1qJN) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Stocktwits Sentiment for TSLA, NVDA & AAPL — Latest Messages" task

The Stocktwits Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🎯 scraping mode, 📈 stock / crypto symbols, and more, to match your specific use case.

### 3. Receive the "Stocktwits Sentiment for TSLA, NVDA & AAPL — Latest Messages" 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 posted at, message, sentiment, 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 "Stocktwits Sentiment for TSLA, NVDA & AAPL — Latest Messages" task via API](https://apify.com/insights_data/stocktwits-scraper.md).

## About this Actor

This example demonstrates how to use [Stocktwits Scraper](https://apify.com/insights_data/stocktwits-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/insights_data/stocktwits-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/insights_data/stocktwits-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`).