# Finviz Scraper - Stock Screener & Market Data (`lulzasaur/finviz-scraper`) Actor

Scrape Finviz stock screener data. Get overview, valuation, financial, ownership, performance & technical views for 11,000+ stocks. Filter by sector, industry, market cap, and signals.

- **URL**: https://apify.com/lulzasaur/finviz-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** Other
- **Stats:** 18 total users, 6 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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

## Finviz Scraper - Stock Screener & Market Data

Scrape stock screening data from [Finviz.com](https://finviz.com), covering 11,000+ US-listed stocks. Extract overview, valuation, financial, ownership, performance, and technical data with flexible filtering.

### Features

- **6 data views**: Overview, Valuation, Financial, Ownership, Performance, Technical
- **Signal filters**: Top Gainers, Top Losers, Most Active, Most Volatile, Overbought, Oversold, New High, New Low, Unusual Volume
- **Sector/Industry filters**: Filter by any of 11 sectors and 140+ industries
- **Market cap filters**: Mega, Large, Mid, Small, Micro, Nano
- **Pagination**: Automatically scrapes all pages up to your max results limit
- **Lightweight**: Uses Cheerio (no browser needed), fast and cost-effective

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `view` | select | `overview` | Data view: overview, valuation, financial, ownership, performance, technical |
| `signal` | select | (none) | Signal filter: top\_gainers, top\_losers, most\_active, etc. |
| `sector` | select | (any) | Sector: technology, healthcare, financial, energy, etc. |
| `industry` | string | (any) | Industry code (e.g., `semiconductors`, `biotechnology`) |
| `marketCap` | select | (any) | Market cap: mega, large, mid, small, micro, nano |
| `maxResults` | integer | 200 | Max stocks to return (0 = all) |
| `proxyConfiguration` | object | - | Optional proxy settings |

### Output Fields by View

#### Overview (v=111)

`ticker`, `company`, `sector`, `industry`, `country`, `marketCap`, `pe`, `price`, `change`, `volume`

#### Valuation (v=121)

`ticker`, `marketCap`, `pe`, `forwardPE`, `peg`, `ps`, `pb`, `pc`, `pfcf`, `epsThisY`, `epsNextY`, `epsPast5Y`, `epsNext5Y`, `salesPast5Y`, `price`, `change`, `volume`

#### Financial (v=161)

`ticker`, `marketCap`, `dividend`, `roa`, `roe`, `roic`, `currentRatio`, `quickRatio`, `ltDebtEq`, `debtEq`, `grossMargin`, `operMargin`, `profitMargin`, `earnings`, `price`, `change`, `volume`

#### Ownership (v=131)

`ticker`, `marketCap`, `outstanding`, `float`, `insiderOwn`, `insiderTrans`, `instOwn`, `instTrans`, `shortFloat`, `shortRatio`, `avgVolume`, `price`, `change`, `volume`

#### Performance (v=141)

`ticker`, `perfWeek`, `perfMonth`, `perfQuarter`, `perfHalf`, `perfYTD`, `perfYear`, `perf3Y`, `perf5Y`, `perf10Y`, `volatilityWeek`, `volatilityMonth`, `avgVolume`, `relVolume`, `price`, `change`, `volume`

#### Technical (v=171)

`ticker`, `beta`, `atr`, `sma20`, `sma50`, `sma200`, `high52W`, `low52W`, `rsi`, `price`, `change`, `changeFromOpen`, `gap`, `volume`

### Example Output (Overview)

```json
{
    "ticker": "AAPL",
    "company": "Apple Inc",
    "sector": "Technology",
    "industry": "Consumer Electronics",
    "country": "USA",
    "marketCap": "3979.47B",
    "pe": "34.29",
    "price": 271.06,
    "change": "-0.87%",
    "volume": 38030105,
    "view": "overview",
    "scrapedAt": "2026-04-25T12:00:00.000Z"
}
```

### Usage Examples

#### Get all mega-cap tech stocks (overview)

```json
{
    "view": "overview",
    "sector": "technology",
    "marketCap": "mega",
    "maxResults": 100
}
```

#### Get today's top gainers with valuation data

```json
{
    "view": "valuation",
    "signal": "ta_topgainers",
    "maxResults": 50
}
```

#### Get technical indicators for all stocks

```json
{
    "view": "technical",
    "maxResults": 0
}
```

#### Get semiconductor industry ownership data

```json
{
    "view": "ownership",
    "industry": "semiconductors",
    "maxResults": 500
}
```

### Industry Codes

Common industry filter values (use lowercase, no spaces):

- `semiconductors`, `softwareapplication`, `softwareinfrastructure`
- `biotechnology`, `medicaldevices`, `healthcareplans`
- `banksregional`, `banksdiversified`, `capitalmarkets`, `creditservices`
- `oilgasep`, `oilgasintegrated`, `oilgasmidstream`
- `internetretail`, `internetcontentinformation`
- `consumerelectronics`, `entertainement`, `restaurants`

### Cost

This scraper uses Cheerio (HTML parsing only, no browser). Typical costs:

- 200 stocks: ~20 seconds, minimal compute
- All 11,000+ stocks: ~10 minutes, ~550 page fetches

### Notes

- Data is sourced from Finviz's free screener (no Elite subscription needed)
- Prices and market data reflect market hours / last close
- Rate limiting is built in (0.5-1s between page requests) to avoid blocks
- The scraper respects Finviz's pagination (20 rows per page)

# Actor input Schema

## `view` (type: `string`):

Which data view to scrape. Each view returns different columns of stock data.

## `signal` (type: `string`):

Optional signal filter to narrow results (e.g., top gainers, most active).

## `sector` (type: `string`):

Filter by sector (e.g., Technology, Healthcare, Financial, Energy).

## `industry` (type: `string`):

Filter by industry (e.g., 'semiconductors', 'biotechnology', 'softwareapplication'). See Finviz for full list.

## `marketCap` (type: `string`):

Filter by market capitalization range.

## `maxResults` (type: `integer`):

Maximum number of stocks to return. Set to 0 for all results.

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

Proxy settings. Residential proxies recommended for reliable access.

## Actor input object example

```json
{
  "view": "overview",
  "signal": "",
  "sector": "",
  "industry": "",
  "marketCap": "",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/finviz-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 = {
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/finviz-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 '{
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call lulzasaur/finviz-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/finviz-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/bgQ2Gc3hTmdWKlFex/builds/svsX7y17Ames7BQLR/openapi.json