# Finviz Stock Screener Scraper: 100+ Fields, Any Filter (`scrapemint/finviz-stock-screener`) Actor

Paste any Finviz screener URL or pick filters and signals (top gainers, new highs, unusual volume). Get one row per stock or ETF with ~110 fields: P/E, EPS growth, margins, short float, ownership, RSI, SMAs, performance, target price, earnings date, latest news. No login.

- **URL**: https://apify.com/scrapemint/finviz-stock-screener.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Business, Automation
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 stock or etf rows

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Finviz Stock Screener Scraper: 100+ Fields, Any Filter

Export any Finviz screen to JSON, CSV or Excel. Paste a screener URL from finviz.com, or give filter codes, a signal (top gainers, new highs, unusual volume, oversold...) or a list of tickers, and get one row per stock or ETF with about 110 fields: every column Finviz shows on its free screener, not just the 11 in the default view. No login, no Elite account, no browser.

### Who uses it

- **Swing and momentum traders**: a daily export of top gainers, new highs or unusual volume, with float, short interest, RSI and relative volume in the same row
- **Value investors**: P/E, forward P/E, PEG, P/FCF, margins, ROE and debt ratios for a whole screen in one table
- **Quant and AI workflows**: a clean, typed feed for backtests, dashboards, Google Sheets or an LLM agent
- **Newsletter writers**: the day's movers with Finviz's "why it moves" note and latest headline

### What you get

One row per ticker:

- **Profile**: `ticker`, `company`, `sector`, `industry`, `country`, `exchange`, `index`, `website`, `employees`, `ipoDate`, `optionable`, `shortable`
- **Size**: `marketCapMillions`, `enterpriseValueMillions`, `salesMillions`, `incomeMillions`, `sharesOutstandingMillions`, `sharesFloatMillions`
- **Valuation**: `peRatio`, `forwardPe`, `pegRatio`, `priceToSales`, `priceToBook`, `priceToCash`, `priceToFreeCashFlow`, `evEbitda`, `evSales`
- **Growth and profitability**: `eps`, `epsYoY`, `epsQoQ`, `eps5Years`, `estLTGrowth`, `salesQoQ`, `sales5Years`, `grossMargin`, `operMargin`, `netMargin`, `roa`, `roe`, `roi`, `epsSurprise`, `revenueSurprise`
- **Balance sheet**: `curRatio`, `quickRatio`, `debtEq`, `ltdebtEq`, `cashPerShare`, `book`
- **Dividends**: `dividendYield`, `dividendTTM`, `payoutRatio`, `dividendExDate`, dividend growth 1y/3y/5y
- **Ownership and short interest**: `insiderOwn`, `insiderTrans`, `instOwn`, `instTrans`, `shortInterestMillions`, `shortInterestShare` (short % of float), `shortInterestRatio` (days to cover)
- **Performance**: `perf1w`, `perf4w`, `perf13w`, `perf26w`, `perf52w`, `perfYtd`, `perf3y`, `perf5y`, `perf10y`
- **Technicals**: `price`, `change`, `changeFromOpen`, `gap`, `volume`, `averageVolume`, `relativeVolume`, `rsi`, `beta`, `averageTrueRange`, `volatility1w`, `volatility4w`, `sma20`, `sma50`, `sma200`, `high52w`, `low52w`, `high50d`, `low50d`
- **Analysts and events**: `targetPrice`, `analystRecommendation` (1 = strong buy, 5 = sell), `earningsDate`
- **News**: `latestNewsTitle`, `latestNewsUrl`, `latestNewsTime`, `whyItMoves`
- `rank` (position in the screen), `finvizUrl`, `scrapedAt`

Percent fields are in percent (`perf1w: 3.2` means +3.2%). Fields ending in `Millions` are in millions.

### Input

- `screenerUrl`: any Finviz screener link, old (`screener.ashx?...`) or new (`/screener/stocks?...`). Filters, signal, tickers and sort are read from it.
- `screenerType`: `stocks` or `etf`.
- `filters`: Finviz filter codes, e.g. `cap_large`, `sec_technology`, `fa_pe_u20`, `sh_short_o20`, `ta_rsi_os30`, `idx_sp500`, `geo_usa`.
- `signal`: e.g. `ta_topgainers`, `ta_toplosers`, `ta_newhigh`, `ta_unusualvolume`, `ta_oversold`, `n_insiderbuying`, `n_upgrades`.
- `tickers`: look up specific symbols instead of screening.
- `sortBy`: e.g. `-marketcap`, `-change`, `-relativevolume`, `pe`.
- `maxRows`: default 200.

### Example input

```json
{
  "filters": ["cap_smallover", "sh_short_o20", "sh_avgvol_o500"],
  "signal": "ta_topgainers",
  "sortBy": "-change",
  "maxRows": 100
}
```

### Example output

```json
{
  "rank": 1,
  "ticker": "AAPL",
  "company": "Apple Inc",
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "marketCapMillions": 5008371.3,
  "peRatio": 38.4,
  "shortInterestShare": 0.9,
  "rsi": 53.39,
  "targetPrice": 337.98,
  "earningsDate": "2026-11-02T16:30:00",
  "finvizUrl": "https://finviz.com/quote.ashx?t=AAPL"
}
```

### Pricing

Pay per ticker row. The first 2 rows of every run are free, and screens that match nothing cost nothing.

### Notes

- Data is Finviz's free, delayed screener data, the same numbers a logged-out visitor sees.
- Schedule the actor (e.g. every weekday after the open) to build your own history of a screen.
- Options flow for the same tickers: [Stock Options Scraper](https://apify.com/scrapemint/stock-options-scraper). Daily prices and fundamentals: [Yahoo Finance Scraper](https://apify.com/scrapemint/yahoo-finance-scraper).

# Actor input Schema

## `screenerUrl` (type: `string`):

Paste any screen from finviz.com, e.g. https://finviz.com/screener.ashx?v=111\&f=cap_large,fa_pe_u15\&o=-marketcap. Filters, signal, tickers and sort are taken from it; the actor always returns every column.

## `screenerType` (type: `string`):

Stocks or ETFs. Ignored when the URL already points to the ETF screener.

## `filters` (type: `array`):

Finviz filter codes, as they appear after f= in a screener URL, e.g. cap_large, sec_technology, fa_pe_u20, sh_short_o20, ta_rsi_os30, geo_usa, idx_sp500. Added to any URL filters.

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

Finviz signal code, e.g. ta_topgainers, ta_toplosers, ta_newhigh, ta_newlow, ta_mostactive, ta_unusualvolume, ta_overbought, ta_oversold, n_majornews, n_insiderbuying, n_upgrades, n_earningsbefore.

## `tickers` (type: `array`):

Look up specific tickers instead of screening, e.g. AAPL, MSFT, NVDA.

## `sortBy` (type: `string`):

Finviz sort code (the o= parameter), e.g. -marketcap, -change, -volume, pe, -relativevolume. A leading minus sorts descending.

## `maxRows` (type: `integer`):

Cap on tickers returned. Controls cost. Finviz pages hold 20 rows.

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

Finviz blocks Apify's own server IPs, so the default Apify datacenter proxy is needed. Keep the default unless you have a reason to change it.

## Actor input object example

```json
{
  "screenerUrl": "https://finviz.com/screener.ashx?v=111&f=cap_large,sh_avgvol_o1000&o=-marketcap",
  "screenerType": "stocks",
  "filters": [],
  "tickers": [],
  "maxRows": 200,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `stocks` (type: `string`):

Ticker, company, sector, valuation, growth, ownership, short interest, performance, technicals and latest news.

## `summary` (type: `string`):

The screen URL, total matched and rows returned.

# 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 = {
    "screenerUrl": "https://finviz.com/screener.ashx?v=111&f=cap_large,sh_avgvol_o1000&o=-marketcap",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/finviz-stock-screener").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 = {
    "screenerUrl": "https://finviz.com/screener.ashx?v=111&f=cap_large,sh_avgvol_o1000&o=-marketcap",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/finviz-stock-screener").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 '{
  "screenerUrl": "https://finviz.com/screener.ashx?v=111&f=cap_large,sh_avgvol_o1000&o=-marketcap",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapemint/finviz-stock-screener --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/finviz-stock-screener"
        }
    }
}
```

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/k9qSFzOFkagEfF5o9/builds/qBw4a8haIfpxRS9vn/openapi.json