# Nasdaq Short Interest Tracker — Official Data (`bovi/nasdaq-short-interest-tracker`) Actor

Scrape official Nasdaq short-interest reports for any stock or ETF ticker: settlement-date short interest, average daily volume, days-to-cover, and period-over-period change (computed, not left blank). Official Nasdaq data, no login, no API key. Pay per result.

- **URL**: https://apify.com/bovi/nasdaq-short-interest-tracker.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Business, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.79 / 1,000 short-interest-records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## 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`. Pay per result.

***

### 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

| Field | Type | Description |
|---|---|---|
| `symbols` | array of strings | Ticker symbols, e.g. `["AAPL", "TSLA"]`. |
| `assetClass` | `stocks` | `etf` | Must match how the symbols trade — Nasdaq's API is keyed by asset class. |
| `maxItems` | integer | Max settlement-date records returned **per symbol**, newest first. `0` = all available (~24). Default `10`. |
| `proxyConfiguration` | object | Apify Proxy — works out of the box, Residential is the default group. No setup needed. |

Example:

```json
{
  "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.

# Actor input Schema

## `symbols` (type: `array`):

Nasdaq ticker symbols to fetch short-interest history for, e.g. AAPL, TSLA, MSFT (stocks) or QQQ, SPY (ETFs — set Asset class to ETF).

## `assetClass` (type: `string`):

Whether the symbols above are stocks or ETFs. Nasdaq's short-interest API is keyed by asset class — mixing the wrong class with a symbol returns no data.

## `maxItems` (type: `integer`):

Maximum number of bi-monthly settlement-date records to return per symbol, newest first. 0 = all available (Nasdaq publishes roughly the last ~24 settlement dates, ~2 years of history). Default 10.

## `proxyConfiguration` (type: `object`):

Apify Proxy is used for every request out of the box — no buyer setup needed. Residential proxy is the default and recommended group.

## Actor input object example

```json
{
  "symbols": [
    "AAPL"
  ],
  "assetClass": "stocks",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing Nasdaq Short Interest Tracker records (symbol, assetClass, settlement\_date, short\_interest, avg\_daily\_volume, days\_to\_cover, change, scrapedAt, parse\_confidence).

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "symbols": [
        "AAPL"
    ],
    "assetClass": "stocks",
    "maxItems": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/nasdaq-short-interest-tracker").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "symbols": ["AAPL"],
    "assetClass": "stocks",
    "maxItems": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/nasdaq-short-interest-tracker").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 '{
  "symbols": [
    "AAPL"
  ],
  "assetClass": "stocks",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/nasdaq-short-interest-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bovi/nasdaq-short-interest-tracker",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3CNXcfbXOC5Ho7Rlp/builds/qtnyWXIR6WhVkkBq0/openapi.json