Nasdaq Short Interest Scraper 📉 — Short Interest, Days to Cover & Short-Squeeze Data

Track short interest, days to cover, and short-squeeze signals for any Nasdaq-listed stock — in seconds. This Nasdaq Short Interest Scraper pulls the complete, bi-monthly short interest history for every ticker you give it and returns clean, analysis-ready rows you can drop straight into Excel, Google Sheets, pandas, BigQuery, Snowflake, or your own trading dashboard.

No login. No API keys. No manual copy-pasting from finance websites. Just a list of symbols in, structured short interest data out.

Whether you are building a short-squeeze screener, back-testing a quant strategy, powering a finance dashboard, or fact-checking a market story, this actor gives you the exact short selling numbers the market watches — enriched with company data, a live quote, and period-over-period change so every row is immediately useful.

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💡 Why traders and analysts use this scraper

Short interest is one of the most-watched signals in the market. A stock with high short interest and a high days-to-cover ratio can be primed for a short squeeze — and spotting that trend early is worth real money. But the raw data is buried on slow finance pages, updated on an awkward bi-monthly settlement schedule, and painful to pull for more than one ticker at a time.

This scraper solves that. Feed it 1 symbol or 3,000 symbols and get back every reported settlement period for each, complete with:

• Short interest (total shares sold short)
• Days to cover (short interest ÷ average daily volume — the classic squeeze pressure gauge)
• Average daily share volume
• Period-over-period change in short interest, so you can instantly see whether short pressure is building or unwinding

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⭐ Key features

• 🔍 Full short interest history — every reported bi-monthly settlement date, not just the latest snapshot
• 📊 Days-to-cover included — the short-squeeze pressure ratio, pre-calculated on every row
• 📈 Period-over-period change — absolute and percentage change vs the prior settlement, so trends jump out
• 🏢 Company enrichment — company name, listing exchange, and Nasdaq-100 membership on every row
• 💵 Live quote — latest price and daily move alongside the short interest data
• ⚡ Bulk-friendly — scan a single ticker or your entire watchlist / the whole market in one run
• 🧹 Clean, typed output — numbers come back as numbers, ready for BI tools with zero cleanup
• 🗓️ Schedule it — run daily or on every settlement date to keep a rolling short interest database

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🎯 Who it is for

Audience	Use case
📊 Quant & systematic traders	Build short-interest factors and squeeze signals for models
📈 Retail & swing traders	Screen watchlists for building short pressure and squeeze setups
🏦 Analysts & researchers	Assemble short selling datasets across the market in seconds
📰 Financial journalists	Verify short interest figures for a story in one click
🧑‍💻 Fintech developers	Pipe clean short interest data into apps, dashboards, and alerts
🎓 Students & educators	Work with real market data instead of stale textbook examples

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📊 Output data

Each row is a single settlement period for one symbol. Fields include:

Field	Description
symbol	Ticker symbol
company_name	Full company name
exchange	Listing exchange (e.g. NASDAQ-GS)
is_nasdaq100	Whether the stock is a member of the Nasdaq-100
settlement_date	Short interest settlement date
short_interest	Reported short interest (shares sold short)
avg_daily_volume	Average daily share volume
days_to_cover	Short interest ÷ average daily volume
short_interest_change	Change in short interest vs the prior settlement period
short_interest_pct_change	Percentage change vs the prior settlement period
is_latest	Flags the most recent settlement row
last_price	Latest trade price
currency	Price currency
price_net_change	Daily price change
price_pct_change	Daily percentage price change
scraped_at	Timestamp the row was collected

Export as JSON, CSV, Excel, XML, or HTML — or pull it straight through the API into your own stack.

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📥 Input

Just a list of ticker symbols:

{
  "symbols": ["AAPL", "TSLA", "NVDA", "AMD", "INTC"],
  "maxRecordsPerSymbol": 0
}

• symbols — one or many Nasdaq-listed ticker symbols
• maxRecordsPerSymbol — cap how many settlement periods to return per symbol (0 = full available history, newest first)

That is it. Start the run and download your short interest dataset within seconds.

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🚀 Popular use cases

• Short-squeeze screening — rank your watchlist by days to cover and rising short interest to catch squeeze setups early
• Quant factor building — turn short interest and its rate of change into features for systematic models
• Rolling market database — schedule a run every settlement date to maintain a full short interest history across thousands of tickers
• Dashboards & alerts — power a Slack/Discord/email alert when short interest on a name spikes
• Research & journalism — pull verifiable short selling figures for reports and articles in seconds

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🔌 Automation & integrations

Connect this actor to Make, Zapier, n8n, Slack, Discord, Google Sheets, Airtable, BigQuery, Snowflake, Postgres, or any REST/webhook endpoint. Use the native Apify scheduler to run it every weekday or on each short interest settlement date, and get results pushed straight to your tools.

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❓ Frequently asked questions

Do I need an account or API key? No API keys and no login are required for the data — a free Apify account is all you need to run the actor.

Which stocks are supported? Short interest is reported for Nasdaq-listed securities. Symbols that are not Nasdaq-listed, or that have no reported short interest, are skipped automatically — so you can safely feed mixed watchlists.

How far back does the history go? The actor returns every reported bi-monthly settlement period available for each symbol, newest first.

How often is short interest updated? Short interest is reported on a bi-monthly settlement schedule. Schedule a run to always capture the latest release.

Can I scan the whole market? Yes — pass a large list of symbols (hundreds or thousands) in a single run.

What export formats are available? JSON, CSV, Excel, XML, JSONL, and HTML, plus direct API access.

Is the output ready for Excel and BI tools? Yes — numeric fields are returned as real numbers, so data drops in cleanly with no manual formatting.

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📈 Start tracking short interest now

Give it your watchlist and get a complete, structured short interest history — days to cover, short-squeeze signals, and trend — in seconds. Perfect for traders, quants, analysts, and developers who need reliable Nasdaq short selling data without the manual work.