# Stock Analysis Scraper - Stock & ETF Screener Data (`lulzasaur/stockanalysis-scraper`) Actor Scrape stock and ETF screener data from StockAnalysis.com. Get 5,500+ stocks and 5,100+ ETFs with price, market cap, P/E ratio, volume, industry, and more. No API key needed. - **URL**: https://apify.com/lulzasaur/stockanalysis-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## Stock Analysis Scraper - Stock & ETF Screener Data Scrape comprehensive stock and ETF screener data from [StockAnalysis.com](https://stockanalysis.com). Extract data for **5,500+ stocks** and **5,100+ ETFs** in a single run — no API key required. ### What data does it extract? #### Stocks | Field | Description | |-------|-------------| | symbol | Ticker symbol (e.g., AAPL, NVDA) | | name | Company name | | marketCap | Market capitalization in USD | | price | Current stock price | | changePercent | Daily price change percentage | | peRatio | Price-to-earnings ratio | | volume | Daily trading volume | | industry | Industry classification | | url | Link to the stock's StockAnalysis page | #### ETFs | Field | Description | |-------|-------------| | symbol | Ticker symbol (e.g., SPY, VOO) | | name | Fund name | | assetClass | Asset class (Equity, Bond, etc.) | | aum | Assets under management | | price | Current ETF price | | changePercent | Daily price change percentage | | volume | Daily trading volume | | holdings | Number of holdings in the fund | | url | Link to the ETF's StockAnalysis page | ### Input options - **Screener Type**: Choose stocks, ETFs, or both - **Sort By**: Market cap, price, change, volume, or P/E ratio - **Sort Order**: Descending or ascending - **Industry Filter**: Filter stocks by industry (partial match, case-insensitive) - **Market Cap Range**: Set minimum and/or maximum market cap - **Price Range**: Set minimum and/or maximum price - **Max Results**: Limit the number of results (default 500, set to 0 for all) ### Example output ```json { "type": "stock", "symbol": "NVDA", "name": "NVIDIA Corporation", "marketCap": 5060127920000, "price": 208.27, "changePercent": 4.32, "peRatio": 42.5, "volume": 213242832, "industry": "Semiconductors", "url": "https://stockanalysis.com/stocks/nvda/", "scrapedAt": "2026-04-25T00:00:00.000Z" } ```` ### Use cases - **Stock screening** — Filter and sort the entire US stock market by any metric - **Market research** — Get a snapshot of all publicly traded companies - **Portfolio analysis** — Compare stocks by market cap, P/E ratio, industry - **ETF comparison** — Compare ETFs by AUM, holdings, asset class - **Data pipelines** — Feed stock data into spreadsheets, databases, or dashboards - **Quant analysis** — Bulk download market data for quantitative models ### Performance This scraper fetches all data from StockAnalysis.com's pre-rendered screener pages. Each page contains the complete dataset (no pagination), so a full run completes in seconds: - **Stocks only**: ~5,500 results in ~5 seconds - **ETFs only**: ~5,100 results in ~5 seconds - **Both**: ~10,600 results in ~10 seconds ### Cost This scraper uses Pay-Per-Event pricing. You are charged per result pushed to the dataset. Running with the default 500 max results costs approximately $2.50. # Actor input Schema ## `screenerType` (type: `string`): Choose which type of securities to scrape. ## `sortBy` (type: `string`): Sort results by this field (data comes pre-sorted by market cap from the source). ## `sortOrder` (type: `string`): Sort direction. ## `industry` (type: `string`): Filter stocks by industry (e.g., 'Semiconductors', 'Biotechnology', 'Banks - Regional'). Case-insensitive partial match. Only applies to stocks. ## `minMarketCap` (type: `integer`): Minimum market capitalization in USD (e.g., 1000000000 for $1B). ## `maxMarketCap` (type: `integer`): Maximum market capitalization in USD. ## `minPrice` (type: `number`): Minimum stock/ETF price in USD. ## `maxPrice` (type: `number`): Maximum stock/ETF price in USD. ## `maxResults` (type: `integer`): Maximum number of results to return. Set to 0 for all results. ## `proxyConfiguration` (type: `object`): Proxy settings. The site works without proxies, but they can help avoid rate limiting. ## Actor input object example ```json { "screenerType": "stocks", "sortBy": "marketCap", "sortOrder": "desc", "maxResults": 500 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "screenerType": "stocks", "sortBy": "marketCap", "sortOrder": "desc", "maxResults": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/stockanalysis-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "screenerType": "stocks", "sortBy": "marketCap", "sortOrder": "desc", "maxResults": 500, } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/stockanalysis-scraper").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 '{ "screenerType": "stocks", "sortBy": "marketCap", "sortOrder": "desc", "maxResults": 500 }' | apify call lulzasaur/stockanalysis-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/stockanalysis-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stock Analysis Scraper - Stock & ETF Screener Data", "description": "Scrape stock and ETF screener data from StockAnalysis.com. Get 5,500+ stocks and 5,100+ ETFs with price, market cap, P/E ratio, volume, industry, and more. No API key needed.", "version": "1.0", "x-build-id": "wgbA1ZUUptmbTIRTu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~stockanalysis-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-stockanalysis-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~stockanalysis-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-stockanalysis-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~stockanalysis-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-stockanalysis-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "screenerType" ], "properties": { "screenerType": { "title": "Screener Type", "enum": [ "stocks", "etfs", "both" ], "type": "string", "description": "Choose which type of securities to scrape.", "default": "stocks" }, "sortBy": { "title": "Sort By", "enum": [ "marketCap", "price", "change", "volume", "peRatio" ], "type": "string", "description": "Sort results by this field (data comes pre-sorted by market cap from the source).", "default": "marketCap" }, "sortOrder": { "title": "Sort Order", "enum": [ "desc", "asc" ], "type": "string", "description": "Sort direction.", "default": "desc" }, "industry": { "title": "Industry Filter", "type": "string", "description": "Filter stocks by industry (e.g., 'Semiconductors', 'Biotechnology', 'Banks - Regional'). Case-insensitive partial match. Only applies to stocks." }, "minMarketCap": { "title": "Min Market Cap", "type": "integer", "description": "Minimum market capitalization in USD (e.g., 1000000000 for $1B)." }, "maxMarketCap": { "title": "Max Market Cap", "type": "integer", "description": "Maximum market capitalization in USD." }, "minPrice": { "title": "Min Price", "type": "number", "description": "Minimum stock/ETF price in USD." }, "maxPrice": { "title": "Max Price", "type": "number", "description": "Maximum stock/ETF price in USD." }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 12000, "type": "integer", "description": "Maximum number of results to return. Set to 0 for all results.", "default": 500 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. The site works without proxies, but they can help avoid rate limiting." } } }, "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 } } } } } } } } } } ```