Nasdaq Short Interest Tracker

Official Nasdaq short-interest data for any stock or ETF ticker — settlement-date short interest, average daily share volume, days-to-cover, and period-over-period change, computed for you (most competing tools declare this field and leave it blank).

No API key. No login. No paywall. This is Nasdaq's own publicly disclosed exchange data (the same bi-monthly short-interest report every US listed security files), read straight from the JSON endpoint that powers

nasdaq.com/market-activity/{stocks|etf}/ {symbol}/short-interest

What data you get

One record per settlement date, per symbol:

• symbol — ticker, uppercased
• assetClass — stocks or etf
• settlement_date — MM/DD/YYYY, as published by Nasdaq (bi-monthly)
• short_interest — shares held short as of the settlement date
• avg_daily_volume — average daily share volume for the settlement period
• days_to_cover — short_interest / avg_daily_volume
• change — short_interest[this period] - short_interest[prior period]. Computed from the same history the API already returns — no extra request, no guesswork. null only for the oldest settlement date in the returned window (no prior period exists to diff against).
• scrapedAt — ISO 8601 UTC scrape time
• parse_confidence (0.0–1.0) and warnings — machine-readable data-quality signal

Nasdaq's endpoint returns roughly the last ~24 settlement dates per symbol (~2 years of bi-monthly history) in one call — no pagination needed.

Input

Example:

{
  "symbols": ["AAPL"],
  "assetClass": "stocks",
  "maxItems": 10
}

Why this actor

Existing short-interest scrapers pull the same official numbers but leave the period-over-period change field empty even though it's a one-line subtraction once you have two consecutive settlement dates for a symbol — which the source API already hands you in a single call. This actor computes it, so you don't have to diff the history yourself downstream.

No proxy key, no unlocker key, no credentials required from you — the actor works out-of-the-box on your own Apify account.

Usage statistics

This Actor creates a small, content-free summary at the end of each run. It is used only to monitor reliability and improve this Actor. A copy is saved as USAGE_STATS in your own Apify key-value store, so you can see the exact record created for your run.

Set disableUsageStats to true in the input to opt out. Nothing is sent then; your USAGE_STATS record only says that statistics were disabled.

Only these fields are recorded:

• schema version, Actor name and build number;
• UTC start and finish hour (not a precise timestamp);
• run duration, number of results and time to the first result, each as a coarse range;
• whether the result was empty, the end status, and an error type from a fixed list;
• memory setting and counts of charged events;
• names of the input fields you set, never their values;
• the selected option for input fields that offer a fixed list of choices (for example a sort order).

We do not collect input text, search terms, URLs, domains, usernames, email addresses, names, proxy credentials, tokens, scraped records, output items, raw error messages, stack traces, or hashes of any of those values. Records are kept for no longer than 13 months, used only as aggregated operational statistics, and never sold or shared.

Additional fields (Phase 2)

This Actor also records your Apify user ID, whether Apify marks the account as paying, the size range of list inputs, the selected country when the input offers a fixed list of countries, and one category from a fixed Actor taxonomy. We use these fields only for aggregate reliability, repeat-use and cross-Actor analysis; reports suppress any cell with fewer than five distinct users.

The same disableUsageStats: true input flag turns these fields off too. The user ID is removed after 13 months; we do not export, sell, share, or attempt to re-identify this data.

Run-outcome signals (v2)

To learn whether a run did what it was asked to do, the record also holds a few more coarse ranges and yes/no flags. None of them contains content:

• the result limit you asked for (a range, when the input has one) and what share of it was delivered;
• results delivered per input item you listed (a range);
• output quality as ranges: how fully the result fields were filled, the share of rows that look like errors, the share of duplicate rows, and how many different fields appeared. These are counted in memory while results are saved; no result content is kept;
• how the run was started (console, API, schedule, webhook, another Actor);
• how it ended: stopped by you, timed out, reached the requested limit, stopped by the charge limit, and how many times the platform moved the run;
• if this Actor reports it: how many items to process worked or failed (ranges) and one failure reason from a fixed list;
• a short code made from the names of the input fields you set, never their values.

Repeat-run fingerprint (v2)

When your Apify user ID is recorded (see above), the record also holds an 8-character one-way code made from your input (proxy settings left out) and this Actor's name. It only lets us see that the same account ran the same input again soon after an unsatisfying run; we never see the input itself. It is stored only in the database, never published, and reports use it in aggregate with the same five-user minimum. It is the one exception to the statement above that no hashes are collected, and disableUsageStats: true turns it off.