StockTwits Scraper

hipersoft/stocktwits-scraper

Scrape StockTwits messages and retail Bullish/Bearish sentiment for any ticker in bulk (stocks, ETFs, crypto, forex). One row per message with body, author, timestamp, sentiment, likes and replies. Fast, reliable and account-free.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per message scraped

$0.0008

Last rebuilt

Oct 28, 2026

Overview

Scrape StockTwits retail-investor messages and their Bullish / Bearish sentiment for any ticker, in bulk. Pass a list of symbols — stocks, ETFs, crypto or forex — and this actor pages back through each ticker's message stream and returns one clean row per message: the text, author, timestamp, sentiment tag, likes and replies. Fast reliable HTTP, no login and no API key. Export to JSON, CSV, Excel or XML.

What does StockTwits Scraper do?

StockTwits is a social platform where traders post short messages about tickers and often tag them Bullish or Bearish. This scraper turns that stream into a structured dataset. Give it the tickers you care about and a per-ticker message limit, and it collects the latest messages (newest first, paging into older history), normalizes each into a flat record, and hands you a dataset ready for sentiment analysis, dashboards or research.

What data can you scrape from StockTwits?

Data point	Description
`ticker`	The ticker symbol the message was pulled for.
`id`	Unique StockTwits message id.
`body`	Full text of the message.
`username`	Author's StockTwits handle.
`name`	Author's display name.
`createdAt`	ISO 8601 timestamp of when the message was posted.
`sentiment`	`Bullish`, `Bearish`, or `null` when the author added no tag.
`likeCount`	Number of likes on the message.
`replyCount`	Number of replies in the message's thread.
`source`	Client the message was posted from (e.g. StockTwits Web, iPhone).

Use cases

Sentiment analysis — measure the Bullish/Bearish balance on a ticker over time.
Trading signals — feed retail chatter and sentiment into quant models or alerts.
Dashboards — power a live "social buzz" panel for a watchlist of symbols.
Research & backtesting — build a historical corpus of messages per ticker.
Market monitoring — watch how sentiment shifts around earnings or news.

How to scrape StockTwits data

Add StockTwits Scraper to your Apify account and open its input.
Enter one or more tickers (e.g. AAPL, TSLA, BTC.X), one per line.
Set Max messages per ticker.
Optionally enable Only sentiment-tagged messages to keep just Bullish/Bearish posts.
Click Run, then export the results as JSON, CSV, Excel or XML — or fetch them through the Apify API.

Input

{
  "tickers": ["AAPL", "TSLA", "BTC.X"],
  "maxMessages": 100,
  "sentimentOnly": false
}

Field	Description
`tickers`	Ticker symbols to scrape, one per line. Stocks & ETFs use the plain symbol; crypto uses a `.X` suffix (e.g. `BTC.X`).
`maxMessages`	Maximum messages to collect per ticker. The scraper pages older messages until this limit or the stream runs out.
`sentimentOnly`	When `true`, keep only messages tagged Bullish or Bearish.

What you get

Each record is a flat JSON object, ready to export to CSV, Excel, JSON or XML:

{
  "ticker": "AAPL",
  "id": 662981305,
  "body": "$AAPL We push to 320 by tomorrow.",
  "username": "chintu76",
  "name": "sam",
  "createdAt": "2026-08-27T12:48:56Z",
  "sentiment": "Bullish",
  "likeCount": 5,
  "replyCount": 1,
  "source": "StockTwits Web"
}

Output schema

Field	Type	Description
`ticker`	string	Ticker the message belongs to.
`id`	number	Unique message id.
`body`	string	Message text.
`username`	string	Author handle.
`name`	string	Author display name.
`createdAt`	string	ISO 8601 timestamp.
`sentiment`	string / null	`Bullish`, `Bearish`, or `null`.
`likeCount`	number	Likes on the message.
`replyCount`	number	Replies in the thread.
`source`	string	Posting client.

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FAQ

Do I need an account or API key? No. There is no login or key — set your tickers and click Run.

How many messages can I get per ticker? Set maxMessages to whatever you need. The scraper pages back through older messages until it reaches that limit or the ticker has no more history.

Which tickers are supported? Any symbol StockTwits tracks — US stocks and ETFs by plain symbol, and crypto with a .X suffix (for example BTC.X, ETH.X).

What does the sentiment field mean? It is the tag the message author selected: Bullish or Bearish. Messages without a tag come back as null. Enable Only sentiment-tagged messages to drop the untagged ones.

How fresh is the data? Each run starts from the newest messages available at that moment and pages backward.

What export formats are available? JSON, CSV, Excel and XML, plus programmatic access through the Apify API.

Can I use this with n8n? Yes. Use the Apify n8n integration (or the official Apify node) to run this actor from an n8n workflow and pipe the message dataset straight into your automation — sentiment scoring, alerts, a database, or an LLM node. Every run's dataset is available over the Apify API as JSON, so it drops into any workflow tool.

Can I connect this to my other tools? The StockTwits Scraper connects with almost any cloud service or web app through integrations on the Apify platform: Make, Zapier, n8n, Slack, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is this official StockTwits data? The data reflects public StockTwits messages, but this actor is an independent tool and is not affiliated with or endorsed by StockTwits.

Notes

Original clean-room implementation. Returns only public message data; you are responsible for compliant use. Not affiliated with StockTwits; all trademarks belong to their respective owners.

Input

Field	Type	Description
`tickers` Tickers	array	Ticker symbols to scrape, one per line. Works for stocks and ETFs (e.g. "AAPL", "TSLA", "SPY"), crypto (append .X, e.g. "BTC.X", "ETH.X") and forex. Case-insensitive.
`maxMessages` Max messages per ticker	integer	Maximum number of messages to scrape for each ticker. The scraper pages back through older messages (30 per request) until this limit is hit or no more messages exist. Default: `100`
`sentimentOnly` Only sentiment-tagged messages	boolean	When enabled, only keep messages the author tagged as Bullish or Bearish and skip untagged chatter. The scraper still pages until it collects up to Max messages of tagged messages (or runs out). Default: `false`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~stocktwits-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "tickers": [
    "AAPL",
    "TSLA",
    "BTC.X"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/stocktwits-scraper").call(run_input={
    "tickers": [
        "AAPL",
        "TSLA",
        "BTC.X"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/stocktwits-scraper').call({
  "tickers": [
    "AAPL",
    "TSLA",
    "BTC.X"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Message Scraped Charged per message scraped.	$0.0008	$0.0004

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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