# 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:** 9 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 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/actors/running/actors-in-store.md#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

## 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/stockanalysis-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ogar8VMpUW6oAuiaz/builds/wgbA1ZUUptmbTIRTu/openapi.json