SwaggyStocks WSB Sentiment Scraper

SwaggyStocks WSB Sentiment Scraper

Scrape WallStreetBets stock sentiment from SwaggyStocks, up to a million tickers per run. Each row shows how often a ticker is mentioned, its sentiment score, and rank over the last 12 hours, 24 hours, or 7 days. No login or API key. Export to CSV, JSON, Excel, or XML.

SwaggyStocks aggregates r/WallStreetBets chatter into a ranked list of tickers with sentiment scores. This Actor reads that public sentiment board directly, filters it by ticker symbol, and returns each match in one fixed schema. No Reddit API, no OAuth, no rate limits.

Who uses it	What they scrape SwaggyStocks for
Retail traders	Which stocks the WSB crowd is hyping right now
Quant researchers	A daily sentiment signal for backtesting momentum strategies
Financial journalists	A quick list of tickers to mention in market wrap stories
Fintech product managers	A demo dataset of social sentiment for a trading app prototype

What it does

This Actor collects WallStreetBets stock sentiment data from SwaggyStocks and returns each ticker as a flat row with its mention count, sentiment score, and rank.

• ⏱ Timeframe selector: aggregate mentions over the last 12 hours, 24 hours, or 7 days.
• 🔎 Ticker filter: return only symbols that contain your search text, like NVDA, TSLA, or GME.
• 📊 Sentiment ranking: each row includes the ticker's rank, mention count, and sentiment score as shown on SwaggyStocks.
• 📦 Bulk export: pull up to 1,000,000 records for paid users, or a 10-row preview for free users.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with SwaggyStocks data

📈 Track WSB hype cycles.

A retail trader runs the Actor every morning with the 24-hour timeframe and no search filter, then checks which tickers jumped in rank overnight.

🧪 Build a sentiment dataset.

A quant researcher schedules daily runs for the 7-day timeframe and exports the CSV to backtest a momentum strategy against WSB sentiment.

📰 Write market stories.

A financial journalist runs the Actor with the 12-hour timeframe and a search for 'AI' to list the tickers retail traders are discussing this morning.

🛠 Prototype a trading app.

A fintech product manager pulls a 10-row preview with the 24-hour timeframe to demo social sentiment data in a pitch deck.

Why choose this scraper

	What you get
No Reddit API	Reads the public SwaggyStocks board, so you skip OAuth, app registration, and rate limits.
One fixed schema	Every ticker comes back as a flat row with the same fields, ready for a spreadsheet or database.
Three timeframes	Compare 12-hour, 24-hour, and 7-day sentiment from the same run.
Ticker search	Filter to a single symbol or a group like all tickers containing 'AI'.

How it compares

No other Store actor targets SwaggyStocks the same way, so the honest comparison is with the alternatives teams actually weigh.

	SwaggyStocks WSB Sentiment Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When SwaggyStocks changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor with a ticker search and a timeframe, and it filters the SwaggyStocks sentiment board as it reads so only matching tickers reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
  "maxItems": 10
}

A larger pull:

{
  "maxItems": 200
}

Pricing

Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.85
1,000 results	$8.50
10,000 results	$85.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the SwaggyStocks WSB Sentiment Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to SwaggyStocks through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/swaggystocks-sentiment-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Your search filter may be too narrow. Try removing the ticker search or using a shorter substring. Also check that the selected timeframe has data on SwaggyStocks.

Why do I only get 10 records?

Free users are limited to a 10-row preview. Upgrade to a paid plan and set maxItems higher to get more records.

The sentiment score looks different from the website.

SwaggyStocks updates its scores periodically. Run the Actor again to get the latest snapshot, and make sure you are comparing the same timeframe.

Can I get more than 1,000,000 records?

No, the maximum is 1,000,000 records per run. If you need more, split your request by timeframe or search filter and merge the results.

FAQ

Question	Answer
What is SwaggyStocks?	SwaggyStocks is a website that tracks stock tickers mentioned on the r/WallStreetBets subreddit and assigns each one a sentiment score based on the language used in the posts.
Do I need a Reddit account or API key?	No. This Actor reads the public SwaggyStocks sentiment board directly, so you do not need a Reddit account, OAuth app, or API key.
What does the sentiment score mean?	The sentiment score is a value computed by SwaggyStocks that reflects how positive or negative the WSB discussion around a ticker is. Higher values mean more positive chatter.
How many records can I get?	Free users get a 10-row preview. Paid users can set maxItems up to 1,000,000, but the actual number returned depends on how many tickers SwaggyStocks lists for the selected timeframe.
Can I filter by a specific ticker?	Yes. Use the 'Ticker symbol' input to return only tickers whose symbol contains your search text, case-insensitive. For example, 'NVDA' returns NVDA, or 'AI' returns all tickers with 'AI' in the symbol.
Which timeframes are available?	You can choose the last 12 hours, last 24 hours, or last 7 days. The timeframe controls how far back SwaggyStocks aggregates WSB mentions.
What format is the output?	The Actor returns a flat dataset that you can export to CSV, JSON, Excel, or XML from the Apify platform.
Is this real-time data?	The data reflects the latest snapshot from SwaggyStocks at the time the Actor runs. Run it on a schedule to keep your dataset fresh.
Can I run this on a schedule?	Yes. You can schedule the Actor to run hourly, daily, or weekly from the Apify console, and each run will pull the latest sentiment board.
Does this include the actual Reddit posts?	No. This Actor returns the aggregated ticker list from SwaggyStocks, not the underlying Reddit posts or comments.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by SwaggyStocks. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.