# Nasdaq Short Interest Scraper (`scrapesmith/nasdaq-short-interest-scraper`) Actor Track short interest, days to cover, and short-squeeze signals for any Nasdaq-listed stock. Get the full bi-monthly short interest history enriched with company data, live quotes, and period-over-period change โ€” clean and ready for Excel, BI tools, and trading models. - **URL**: https://apify.com/scrapesmith/nasdaq-short-interest-scraper.md - **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Scraper ๐Ÿ“‰ โ€” Short Interest, Days to Cover & Short-Squeeze Data **Track short interest, days to cover, and short-squeeze signals for any Nasdaq-listed stock โ€” 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 โ€” enriched with company data, a live quote, and period-over-period change so every row is immediately useful. --- ### ๐Ÿ’ก 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 โ€” 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 รท average daily volume โ€” 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 --- ### โญ Key features - ๐Ÿ” **Full short interest history** โ€” every reported bi-monthly settlement date, not just the latest snapshot - ๐Ÿ“Š **Days-to-cover included** โ€” the short-squeeze pressure ratio, pre-calculated on every row - ๐Ÿ“ˆ **Period-over-period change** โ€” absolute and percentage change vs the prior settlement, so trends jump out - ๐Ÿข **Company enrichment** โ€” company name, listing exchange, and Nasdaq-100 membership on every row - ๐Ÿ’ต **Live quote** โ€” latest price and daily move alongside the short interest data - โšก **Bulk-friendly** โ€” scan a single ticker or your entire watchlist / the whole market in one run - ๐Ÿงน **Clean, typed output** โ€” numbers come back as numbers, ready for BI tools with zero cleanup - ๐Ÿ—“๏ธ **Schedule it** โ€” run daily or on every settlement date to keep a rolling short interest database --- ### ๐ŸŽฏ Who it is for | Audience | Use case | |---|---| | ๐Ÿ“Š Quant & systematic traders | Build short-interest factors and squeeze signals for models | | ๐Ÿ“ˆ Retail & swing traders | Screen watchlists for building short pressure and squeeze setups | | ๐Ÿฆ Analysts & researchers | Assemble short selling datasets across the market in seconds | | ๐Ÿ“ฐ Financial journalists | Verify short interest figures for a story in one click | | ๐Ÿง‘โ€๐Ÿ’ป Fintech developers | Pipe clean short interest data into apps, dashboards, and alerts | | ๐ŸŽ“ Students & educators | Work with real market data instead of stale textbook examples | --- ### ๐Ÿ“Š 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 รท 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 โ€” or pull it straight through the API into your own stack. --- ### ๐Ÿ“ฅ Input Just a list of ticker symbols: ```json { "symbols": ["AAPL", "TSLA", "NVDA", "AMD", "INTC"], "maxRecordsPerSymbol": 0 } ```` - **`symbols`** โ€” one or many Nasdaq-listed ticker symbols - **`maxRecordsPerSymbol`** โ€” 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. *** ### ๐Ÿš€ Popular use cases - **Short-squeeze screening** โ€” rank your watchlist by days to cover and rising short interest to catch squeeze setups early - **Quant factor building** โ€” turn short interest and its rate of change into features for systematic models - **Rolling market database** โ€” schedule a run every settlement date to maintain a full short interest history across thousands of tickers - **Dashboards & alerts** โ€” power a Slack/Discord/email alert when short interest on a name spikes - **Research & journalism** โ€” pull verifiable short selling figures for reports and articles in seconds *** ### ๐Ÿ”Œ 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. *** ### โ“ Frequently asked questions **Do I need an account or API key?** No API keys and no login are required for the data โ€” 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 โ€” 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 โ€” 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 โ€” numeric fields are returned as real numbers, so data drops in cleanly with no manual formatting. *** ### ๐Ÿ“ˆ Start tracking short interest now Give it your watchlist and get a complete, structured short interest history โ€” days to cover, short-squeeze signals, and trend โ€” in seconds. Perfect for traders, quants, analysts, and developers who need reliable Nasdaq short selling data without the manual work. # Actor input Schema ## `symbols` (type: `array`): Nasdaq-listed ticker symbols to fetch short interest for (e.g. AAPL, TSLA, NVDA). ## `maxRecordsPerSymbol` (type: `integer`): Limit how many settlement periods to return per symbol (newest first). 0 = full available history. ## `useApifyProxy` (type: `boolean`): Route requests through Apify's free datacenter proxy. Only enable if direct requests get blocked. ## Actor input object example ```json { "symbols": [ "AAPL", "TSLA" ], "maxRecordsPerSymbol": 0, "useApifyProxy": false } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "symbols": [ "AAPL", "TSLA", "NVDA", "AMD", "INTC" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesmith/nasdaq-short-interest-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "symbols": [ "AAPL", "TSLA", "NVDA", "AMD", "INTC", ] } # Run the Actor and wait for it to finish run = client.actor("scrapesmith/nasdaq-short-interest-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "symbols": [ "AAPL", "TSLA", "NVDA", "AMD", "INTC" ] }' | apify call scrapesmith/nasdaq-short-interest-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesmith/nasdaq-short-interest-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nasdaq Short Interest Scraper", "description": "Track short interest, days to cover, and short-squeeze signals for any Nasdaq-listed stock. Get the full bi-monthly short interest history enriched with company data, live quotes, and period-over-period change โ€” clean and ready for Excel, BI tools, and trading models.", "version": "0.0", "x-build-id": "YSK7XahURqyoxoKbO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesmith~nasdaq-short-interest-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesmith-nasdaq-short-interest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesmith~nasdaq-short-interest-scraper/runs": { "post": { "operationId": "runs-sync-scrapesmith-nasdaq-short-interest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesmith~nasdaq-short-interest-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesmith-nasdaq-short-interest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "symbols" ], "properties": { "symbols": { "title": "Stock symbols", "type": "array", "description": "Nasdaq-listed ticker symbols to fetch short interest for (e.g. AAPL, TSLA, NVDA).", "items": { "type": "string" } }, "maxRecordsPerSymbol": { "title": "Max history records per symbol", "minimum": 0, "type": "integer", "description": "Limit how many settlement periods to return per symbol (newest first). 0 = full available history.", "default": 0 }, "useApifyProxy": { "title": "Use Apify datacenter proxy (fallback)", "type": "boolean", "description": "Route requests through Apify's free datacenter proxy. Only enable if direct requests get blocked.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```