# Finviz Stock Screener & Fundamentals | 83 fields | from $2/1K (`bovi/finviz-stock-screener`) Actor

Scrape stock fundamentals and technicals from Finviz.com. Quote mode: 83 fields per ticker (valuation, margins, performance, ownership, technicals). Screener mode: preset signal screens (gainers/losers, new highs/lows, unusual volume, insider trades, up/downgrades). No API key required.

- **URL**: https://apify.com/bovi/finviz-stock-screener.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.17 / 1,000 quote records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Stock Screener & Fundamentals | 83 fields | No API key

For quant analysts, screeners, and AI agents that want Finviz.com's fundamentals and technicals table as structured data — without copy-pasting from the site or paying for Finviz Elite.

**No API key required.** No login. **$2.00/1,000 quote records** · **$1.00/1,000 screener rows** (Pay Per Event). Every record includes `parse_confidence` (0.0–1.0) and `warnings`.

***

### What data you get

#### Quote mode — 83-field fundamentals/technicals snapshot per ticker

One record per symbol, lifted from Finviz's `snapshot-table2` (the same table shown on `finviz.com/quote.ashx?t=<SYMBOL>`):

- Identity: `symbol`, `name`, `sector`, `industry`, `country`
- Valuation: `market_cap`, `enterprise_value`, `p_e`, `forward_p_e`, `peg`, `p_s`, `p_b`, `p_fcf`, `ev_ebitda`, `ev_sales`
- Profitability: `roa`, `roe`, `roic`, `gross_margin`, `oper_margin`, `profit_margin`
- Growth: `eps_this_y`, `eps_next_y`, `eps_next_5y`, `eps_past_3_5y`, `sales_past_3_5y`, `eps_q_q`, `sales_q_q`
- Ownership: `insider_own`, `insider_trans`, `inst_own`, `inst_trans`, `short_float`, `short_ratio`
- Technicals: `beta`, `rsi_14`, `atr_14`, `sma20`, `sma50`, `sma200`, `52w_high`, `52w_low`, `rel_volume`, `avg_volume`, `volume`
- Performance: `perf_week` … `perf_10y`
- Price: `price`, `prev_close`, `change`, `target_price`, `recom`
- …and ~40 more (dividends, EPS surprise, debt ratios, employees, IPO date). See `src/normalize.py::SNAPSHOT_FIELDS` for the full canonical list.

#### Screener mode — preset signal screens

One record per matching ticker: `symbol`, `name`, `sector`, `industry`, `country`, `market_cap_screener`, `pe_screener`, `price_screener`, `change_screener`, `volume_screener`, `rank`, `signal`.

***

### Access path & compliance (read this before using `filters`)

Both endpoints are **server-rendered HTML, no Cloudflare/JS challenge** — fetched with `curl_cffi` browser-TLS impersonation, no browser or residential proxy required (verified live 2026-07-15).

- **`quote.ashx` (quote mode) is fully clean**: `finviz.com/robots.txt` does not restrict it at all.
- **`screener.ashx` (screener mode) is restricted**: robots.txt has a blanket `Disallow: /screener?*`, but then explicitly **`Allow:`**-lists ~32 named preset "signal" screens (top gainers/losers, new highs/lows, overbought/oversold, unusual volume, chart patterns, insider trades, analyst up/downgrades, earnings timing, major news). This actor's `signal` input uses **exactly that allow-listed set** — screener mode with `signal` set is 100% robots.txt-compliant.
- The `filters` input (raw Finviz filter string, e.g. `sec_technology,cap_large`) is exposed as an **opt-in advanced option**. It is technically served by the site (HTTP 200) but falls **outside** the robots.txt allow-list for `/screener`. The actor logs a warning when used. Left blank by default — you must explicitly set it.

This is a deliberate, disclosed trade-off: rather than silently building an unrestricted custom-filter screener (matching some competing Finviz scrapers) or refusing to build screener mode at all, the default path (`signal`) stays inside the site's own declared policy, and the wider capability is there for buyers who choose to use it.

***

### Input

| Field | Mode | Description |
|---|---|---|
| `mode` | both | `quote` or `screener` |
| `symbols` | quote | Ticker list, e.g. `["AAPL","MSFT"]` |
| `signal` | screener | One of 32 robots.txt-allowed presets, e.g. `ta_topgainers` |
| `filters` | screener | Advanced, opt-in raw filter string — see compliance note above |
| `view` | screener | Finviz view id (default `111` Overview); ignored when `signal` is set |
| `maxItems` | screener | Max rows to return, paginated 20/page |

### Output example (quote mode, abridged)

```json
{
  "symbol": "AAPL",
  "name": "Apple Inc",
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "country": "USA",
  "price": 314.86,
  "market_cap": 4624460000000.0,
  "p_e": 38.09,
  "eps_ttm": 8.27,
  "roe": 141.47,
  "mode": "quote",
  "scraped_at": "2026-07-15T10:00:00Z",
  "parse_confidence": 1.0,
  "warnings": []
}
```

### Edge cases

- **Unknown/delisted ticker**: the record is still pushed with `warnings: ["fetch_failed"]`, `parse_confidence: 0.0`, all data fields `null`. Not charged for failed quote fetches beyond the base record.
- **ETF / fund tickers**: many equity-only fields (P/E, EPS, margins) are legitimately absent on Finviz for ETFs — those come back as `null`, not an error.
- **Empty screener result**: returns zero rows with `totalItems: 0` in `OUTPUT`, not an error.
- **Rate limiting (HTTP 429)**: retried with exponential backoff (up to 3–4 attempts); persistent 429 surfaces as a run-level error in `OUTPUT`.

### Known limitations

- Screener mode's *field set* (11 columns: ticker/company/sector/industry/country/market cap/P-E/price/change/volume) is the Overview view only — Finviz has richer views (Valuation, Financial, Ownership, Technical) selectable via `view`, but only Overview's column layout is currently parsed. Switch to `quote` mode on the resulting tickers for the full 83-field detail.
- No historical/intraday price data (that's Yahoo Finance Scraper's `history` mode in this fleet, not Finviz's).

# Actor input Schema

## `mode` (type: `string`):

quote: 83-field fundamentals/technicals snapshot per ticker. screener: list of tickers matching a preset signal or custom filters.

## `symbols` (type: `array`):

Quote mode only. Finviz ticker symbols, e.g. AAPL, MSFT, TSLA.

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

Screener mode. A preset signal screen explicitly allow-listed in finviz.com/robots.txt — top gainers/losers, new highs/lows, overbought/oversold, unusual volume, most active/volatile, analyst upgrades/downgrades, upcoming earnings, latest insider buys/sells, major news, and 17 chart-pattern presets. Leave blank + use 'filters' for a custom (non-robots-allowlisted) query.

## `filters` (type: `string`):

Screener mode. Raw Finviz filter string (e.g. 'sec\_technology,cap\_large,geo\_usa'). WARNING: unlike the 'signal' presets above, arbitrary custom filter combinations on /screener are NOT in finviz.com/robots.txt's explicit allow-list (robots.txt disallows '/screener?\*' generically, allowing only the named presets). This still returns data technically, but is outside the site's declared robots.txt allowance — use at your own discretion. Leave blank to use 'signal' only.

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

Screener mode. Finviz view id for the result table layout. Ignored when 'signal' is set (each signal has a fixed robots.txt-declared view). Default 111 = Overview (Ticker/Company/Sector/Industry/Country/MktCap/PE/Price/Change/Volume).

## `maxItems` (type: `integer`):

Screener mode: max rows to return (paginated 20/page). Quote mode: not used (one record per symbol). Default 100.

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

Apify proxy settings. Default residential proxy recommended for reliable access. The actor uses curl\_cffi Chrome impersonation to match a real Chrome TLS profile.

## Actor input object example

```json
{
  "mode": "quote",
  "symbols": [
    "AAPL",
    "MSFT",
    "GOOGL"
  ],
  "signal": "ta_topgainers",
  "view": "111",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing Finviz records (quote mode: 83 fundamental/technical fields per ticker; screener mode: ticker/company/sector/industry/country/market\_cap/pe/price/change/volume per row).

# 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 = {
    "mode": "quote",
    "symbols": [
        "AAPL",
        "MSFT",
        "GOOGL"
    ],
    "signal": "ta_topgainers",
    "view": "111",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/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 = {
    "mode": "quote",
    "symbols": [
        "AAPL",
        "MSFT",
        "GOOGL",
    ],
    "signal": "ta_topgainers",
    "view": "111",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/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 '{
  "mode": "quote",
  "symbols": [
    "AAPL",
    "MSFT",
    "GOOGL"
  ],
  "signal": "ta_topgainers",
  "view": "111",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bovi/finviz-stock-screener --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/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/ZqBF5IyYtMH6GK2yd/builds/wsndPGm8bB8CEsgfA/openapi.json