# Stocktwits Sentiment Monitor (`ghostgrid/stocktwits-sentiment-scraper`) Actor Extract Stocktwits messages, tickers, sentiment labels, user signals, timestamps, and engagement data for market sentiment tracking. - **URL**: https://apify.com/ghostgrid/stocktwits-sentiment-scraper.md - **Developed by:** [GhostGrid](https://apify.com/ghostgrid) (community) - **Categories:** Business, Automation, Marketing - **Stats:** 2 total users, 1 monthly users, 83.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. 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). # README ## StockTwits Sentiment Scraper Extract stock and crypto sentiment from [StockTwits](https://stocktwits.com) without an API key. Get bullish/bearish signals, messages, and engagement data for any ticker. ### What does this Actor do? Pulls social sentiment data from StockTwits' public API for any stock or crypto ticker. Extracts: - Message text with bullish/bearish sentiment labels - Username and engagement metrics (likes, reshares) - Posted timestamps for trend analysis ### Why use it? - **Sentiment analysis** - Gauge market mood for any stock or crypto ticker - **Trading signals** - Track bullish vs bearish ratio changes over time - **Social monitoring** - Monitor what retail investors are saying about your holdings - **Research** - Correlate social sentiment with price movements - **Alerting** - Schedule runs and alert when sentiment shifts dramatically No API key needed. Uses StockTwits' public endpoints. ### What data can it extract? | Field | Description | |-------|-------------| | ticker | Stock or crypto ticker (e.g. "AAPL", "BTC") | | sentiment | Bullish or Bearish (or null if not set) | | message_body | Full message text | | username | Author's StockTwits username | | created_at | When the message was posted | | likes | Number of likes | | reshares | Number of reshares | ### How to use it 1. Click "Try for free" or "Start" 2. Enter one or more tickers (e.g. "AAPL" or "BTC,ETH,AAPL") 3. Set max_messages to limit results per ticker 4. Run the Actor 5. Download results from the Dataset tab ### How much will it cost? Pay-per-event pricing: - **Actor start**: $0.005 per run - **Per message**: $0.0005 Fetching 200 messages costs about $0.11 total. ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | tickers | string | AAPL | Comma-separated tickers to scrape | | max_messages | integer | 100 | Max messages per ticker | ### Output Example: ```json { "ticker": "AAPL", "sentiment": "Bullish", "message_body": "AAPL looking strong above $200 support. Earnings next week could push it higher.", "username": "trader_mike", "created_at": "2026-07-04T14:30:00.000Z", "likes": 12, "reshares": 3 } ```` ### FAQ **Do I need an API key?** No. StockTwits has public endpoints that don't require authentication. **How many messages can I get?** StockTwits returns up to 30 messages per API call. This Actor paginates to get more. **Can I filter by sentiment?** StockTwits lets users tag messages as Bullish or Bearish. Messages without a tag show null for sentiment. Filter in your own analysis. **Is this the same as the StockTwits API?** This Actor wraps StockTwits' public stream API and outputs structured data. No API key or OAuth needed. **Rate limits?** The Actor handles rate limiting automatically with retries and backoff. ### Disclaimer This Actor uses StockTwits' public API. Sentiment data reflects StockTwits users only, not the broader market. Not financial advice. Use at your own risk. Questions? Use the Issues tab on this Actor's page. # Actor input Schema ## `tickers` (type: `string`): Comma-separated list of tickers to scrape (e.g. AAPL,TSLA,BTC.X,ETH.X). Crypto tickers on StockTwits usually end with .X. ## `maxMessages` (type: `integer`): Maximum number of messages to fetch per ticker. The API returns ~30 per page. ## `maxPages` (type: `integer`): Maximum number of API pages to fetch per ticker (each page is ~30 messages). ## Actor input object example ```json { "tickers": "AAPL,TSLA,NVDA", "maxMessages": 30, "maxPages": 3 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ghostgrid/stocktwits-sentiment-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("ghostgrid/stocktwits-sentiment-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call ghostgrid/stocktwits-sentiment-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ghostgrid/stocktwits-sentiment-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stocktwits Sentiment Monitor", "description": "Extract Stocktwits messages, tickers, sentiment labels, user signals, timestamps, and engagement data for market sentiment tracking.", "version": "0.1", "x-build-id": "ThBDMRp0BNRW7OsUE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ghostgrid~stocktwits-sentiment-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ghostgrid-stocktwits-sentiment-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ghostgrid~stocktwits-sentiment-scraper/runs": { "post": { "operationId": "runs-sync-ghostgrid-stocktwits-sentiment-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ghostgrid~stocktwits-sentiment-scraper/run-sync": { "post": { "operationId": "run-sync-ghostgrid-stocktwits-sentiment-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "tickers" ], "properties": { "tickers": { "title": "Tickers", "type": "string", "description": "Comma-separated list of tickers to scrape (e.g. AAPL,TSLA,BTC.X,ETH.X). Crypto tickers on StockTwits usually end with .X.", "default": "AAPL,TSLA,NVDA" }, "maxMessages": { "title": "Max messages per ticker", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of messages to fetch per ticker. The API returns ~30 per page.", "default": 30 }, "maxPages": { "title": "Max pages per ticker", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of API pages to fetch per ticker (each page is ~30 messages).", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```