# Finviz Stocks Scraper (Fundamentals, Screener, Insider) (`scrapers_lat/finviz-stocks-scraper`) Actor

Scrape Finviz stock quotes with the full ~70-metric fundamentals snapshot, run the screener with filters, and pull insider trades and news. Get Market Cap, P/E, EPS, margins, ROE, short float and more. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/scrapers\_lat/finviz-stocks-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $11.34 / 1,000 stock 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 Stocks Scraper (Fundamentals, Screener, Insider)](https://scrapers.lat/banners/finviz-stocks-scraper.png)](https://console.apify.com/actors/CpPFed3bJiZAKbk1Y/input)

## Finviz Stocks Scraper (Fundamentals, Screener, Insider)

Here is one real result, with every field the actor returns in quote mode:

```json
{
  "ticker": "AAPL",
  "company": "Apple Inc",
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "country": "USA",
  "exchange": "NASD",
  "marketCapClass": "Mega",
  "index": "DJIA, NDX, S&P 500",
  "marketCap": 4622120000000,
  "enterpriseValue": 4644070000000,
  "income": 128930000000,
  "sales": 466820000000,
  "bookPerShare": 7.36,
  "cashPerShare": 4.28,
  "dividendPercent": 0.34,
  "dividendTtm": 0.33,
  "employees": 166000,
  "ipoDate": "Dec 12, 1980",
  "peRatio": 36.31,
  "forwardPe": 33.19,
  "pegRatio": 2.64,
  "priceToSales": 9.9,
  "priceToBook": 43.03,
  "priceToCash": 74.07,
  "priceToFcf": 33.82,
  "evToEbitda": 27.65,
  "evToSales": 9.95,
  "quickRatio": 0.93,
  "currentRatio": 1,
  "debtToEquity": 0.78,
  "ltDebtToEquity": 0.66,
  "epsTtm": 8.72,
  "epsNextY": 9.54,
  "epsNextQ": 1.98,
  "epsThisYGrowth": 18.46,
  "epsNextYGrowth": 7.98,
  "epsNext5YGrowth": 12.57,
  "epsPast5YGrowth": 17.91,
  "salesPast5YGrowth": 8.71,
  "epsYoYTtm": 32.57,
  "salesYoYTtm": 14.24,
  "epsQoQ": 29.13,
  "salesQoQ": 16.36,
  "earningsDate": "Jul 30 AMC",
  "insiderOwn": 0.12,
  "insiderTrans": -2.23,
  "instOwn": 67.84,
  "instTrans": 0,
  "roa": 36.08,
  "roe": 148.75,
  "roic": 72.08,
  "grossMargin": 48.65,
  "operatingMargin": 33.17,
  "profitMargin": 27.62,
  "payoutRatio": 13.66,
  "sma20": 0.29,
  "sma50": 2.18,
  "sma200": 12.58,
  "sharesOutstanding": 14610000000,
  "sharesFloat": 14580000000,
  "shortFloat": 0.97,
  "shortRatio": 2.51,
  "shortInterest": 141610000,
  "high52w": 344.57,
  "high52wPercent": -8.09,
  "low52w": 223.78,
  "low52wPercent": 41.53,
  "atr": 7.25,
  "rsi": 53.73,
  "beta": 1.08,
  "relVolume": 0.04,
  "avgVolume": 56330000,
  "volume": 126629,
  "perfWeek": 3.75,
  "perfMonth": -2.82,
  "perfQuarter": 4.78,
  "perfHalfYear": 21.54,
  "perfYear": 40.13,
  "perfYtd": 16.5,
  "perf3Y": 81.51,
  "perf5Y": 113.72,
  "perf10Y": 1058.41,
  "analystRecom": 2.06,
  "targetPrice": 334.23,
  "prevClose": 316.83,
  "price": 316.71,
  "changePercent": -0.04,
  "url": "https://finviz.com/quote.ashx?t=AAPL",
  "source": "finviz.com",
  "observedAt": "2026-08-20T11:26:48.418Z",
  "error": null
}
```

The most complete Finviz stock scraper available. It returns every metric the Finviz snapshot table exposes for each ticker as clean parsed numbers, runs the Finviz screener with friendly filters, and can attach the insider-trading table, latest news headlines and an AI valuation read on demand.

**📥 [Input](https://apify.com/scrapers_lat/finviz-stocks-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/finviz-stocks-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/finviz-stocks-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/finviz-stocks-scraper/examples)**

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify\&logoColor=white)
![Coverage](https://img.shields.io/badge/Coverage-US%20%26%20Global%20Equities-blue)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)
![Billing](https://img.shields.io/badge/Billing-Pay%20per%20result-brightgreen)

### Table of contents

- [What it does](#what-it-does)
- [Quickstart](#quickstart)
- [Input reference](#input-reference)
- [Output reference](#output-reference)
- [Example output record](#example-output-record)
- [Run via API and CLI](#run-via-api-and-cli)
- [Fetch results](#fetch-results)
- [Billing and limits](#billing-and-limits)
- [FAQ and troubleshooting](#faq-and-troubleshooting)

### What it does

The actor has two modes.

In **quote** mode it reads the Finviz quote page for each ticker you pass and returns one record with the full snapshot table parsed into clean numeric fields: valuation (P/E, forward P/E, PEG, P/S, P/B, EV/EBITDA), profitability (ROE, ROA, ROIC, gross, operating and profit margins), balance sheet (debt to equity, current and quick ratios), ownership (insider and institutional), short interest, technicals (RSI, ATR, beta, SMA distances, 52-week high and low), and performance across every window from week to ten years. Company header fields (name, sector, industry, country, exchange, market-cap class) come along with it. Percentages are returned as plain numbers (for example `27.62` for `27.62%`) and sizes are expanded to full integers (for example `4622120000000`), so no post-processing is needed.

In **screener** mode it runs the Finviz screener with the filters you set, paginates the full result set, and returns one row per matching stock with ticker, company, sector, industry, country, market cap, P/E, price, change and volume.

Two optional add-ons enrich quote-mode records: an insider-and-news add-on that attaches the insider-trading table and the latest news headlines for the ticker, and an AI summary add-on that adds a valuation read, financial-health note, notable signals and a one-line take built from the fundamentals.

### Quickstart

Open the actor, paste this into the input, and press Run. It returns the full fundamentals snapshot for three tickers.

```json
{
  "mode": "quote",
  "tickers": ["AAPL", "MSFT", "NVDA"],
  "maxResults": 10
}
```

To screen instead of quoting, switch mode and pass filters:

```json
{
  "mode": "screener",
  "marketCap": "large",
  "sector": "Technology",
  "maxResults": 50
}
```

### Input reference

| Field | Type | Required | Default | Description |
|---|---|---|---|---|
| `mode` | enum | no | `quote` | `quote` pulls the full fundamentals snapshot per ticker. `screener` lists stocks matching filters. |
| `tickers` | string\[] | for quote | `["AAPL","MSFT","NVDA"]` | Tickers to pull fundamentals for in quote mode, for example `AAPL`, `MSFT`, `NVDA`. One record per ticker. |
| `screenerFilters` | string | no | (empty) | Screener mode. Raw Finviz `f=` value, for example `cap_large,sec_technology,fa_pe_u20`. Combined with the friendly filters below. |
| `marketCap` | enum | no | (any) | Screener friendly filter: `mega`, `large`, `mid`, `small`, `micro`, `nano`, `large+`, `small-`. |
| `sector` | enum | no | (any) | Screener friendly filter for sector, for example `Technology`, `Healthcare`, `Energy`. |
| `exchange` | enum | no | (any) | Screener friendly filter: `NASDAQ`, `NYSE`, `AMEX`. |
| `index` | enum | no | (any) | Screener friendly filter: `SP500`, `DJIA`, `NASDAQ100`. |
| `maxResults` | integer | no | `10` | Maximum stock records to collect across the run. Free Apify plans are capped at 10 per run. |
| `includeInsiderNews` | boolean | no | `false` | Quote mode paid add-on. Attach the insider-trading table and latest news headlines per ticker. Charged only when real rows are returned. |
| `aiStockSummary` | boolean | no | `false` | Quote mode paid add-on. Add an AI valuation read, financial-health note, notable signals and a one-line summary. Charged only when a usable summary is returned. |

Quote mode requires at least one ticker. Screener mode requires at least one filter (raw or friendly).

### Output reference

One dataset item per stock. Numeric fields are returned as numbers or `null` when Finviz shows no value. Percentage metrics are plain numbers without the `%` sign.

| Field | Type | Description |
|---|---|---|
| `ticker` | string | Stock ticker symbol. |
| `company` | string | Company name. |
| `sector` | string | Sector. |
| `industry` | string | Industry. |
| `country` | string | Country of the company. |
| `exchange` | string | Listing exchange code (quote mode). |
| `marketCapClass` | string | Market-cap class, for example `Mega`, `Large`, `Mid` (quote mode). |
| `index` | string | Indices the stock belongs to (quote mode). |
| `marketCap` | number | Market capitalization in USD. |
| `enterpriseValue` | number | Enterprise value in USD. |
| `income` | number | Net income ttm in USD. |
| `sales` | number | Revenue ttm in USD. |
| `bookPerShare` | number | Book value per share. |
| `cashPerShare` | number | Cash per share. |
| `dividendPercent` | number | Forward dividend yield percent. |
| `dividendTtm` | number | Trailing dividend yield percent. |
| `employees` | number | Number of employees. |
| `ipoDate` | string | IPO date. |
| `peRatio` | number | Trailing P/E ratio. |
| `forwardPe` | number | Forward P/E ratio. |
| `pegRatio` | number | PEG ratio. |
| `priceToSales` | number | Price to sales ratio. |
| `priceToBook` | number | Price to book ratio. |
| `priceToCash` | number | Price to cash ratio. |
| `priceToFcf` | number | Price to free cash flow ratio. |
| `evToEbitda` | number | EV / EBITDA. |
| `evToSales` | number | EV / Sales. |
| `quickRatio` | number | Quick ratio. |
| `currentRatio` | number | Current ratio. |
| `debtToEquity` | number | Total debt to equity. |
| `ltDebtToEquity` | number | Long-term debt to equity. |
| `epsTtm` | number | EPS ttm. |
| `epsNextY` | number | EPS estimate next year. |
| `epsNextQ` | number | EPS estimate next quarter. |
| `epsThisYGrowth` | number | EPS growth this year percent. |
| `epsNextYGrowth` | number | EPS growth next year percent. |
| `epsNext5YGrowth` | number | EPS growth next 5 years percent. |
| `epsPast5YGrowth` | number | EPS growth past 5 years percent. |
| `salesPast5YGrowth` | number | Sales growth past 5 years percent. |
| `epsYoYTtm` | number | EPS year over year ttm percent. |
| `salesYoYTtm` | number | Sales year over year ttm percent. |
| `epsQoQ` | number | EPS quarter over quarter percent. |
| `salesQoQ` | number | Sales quarter over quarter percent. |
| `earningsDate` | string | Next or last earnings date. |
| `insiderOwn` | number | Insider ownership percent. |
| `insiderTrans` | number | Insider transactions percent. |
| `instOwn` | number | Institutional ownership percent. |
| `instTrans` | number | Institutional transactions percent. |
| `roa` | number | Return on assets percent. |
| `roe` | number | Return on equity percent. |
| `roic` | number | Return on invested capital percent. |
| `grossMargin` | number | Gross margin percent. |
| `operatingMargin` | number | Operating margin percent. |
| `profitMargin` | number | Profit margin percent. |
| `payoutRatio` | number | Dividend payout ratio percent. |
| `sma20` | number | Price vs 20-day SMA percent. |
| `sma50` | number | Price vs 50-day SMA percent. |
| `sma200` | number | Price vs 200-day SMA percent. |
| `sharesOutstanding` | number | Shares outstanding. |
| `sharesFloat` | number | Share float. |
| `shortFloat` | number | Short interest as percent of float. |
| `shortRatio` | number | Short ratio in days to cover. |
| `shortInterest` | number | Short interest shares. |
| `high52w` | number | 52-week high price. |
| `high52wPercent` | number | Percent from 52-week high. |
| `low52w` | number | 52-week low price. |
| `low52wPercent` | number | Percent from 52-week low. |
| `atr` | number | Average true range (14). |
| `rsi` | number | Relative strength index (14). |
| `beta` | number | Beta. |
| `relVolume` | number | Relative volume. |
| `avgVolume` | number | Average volume. |
| `volume` | number | Volume. |
| `perfWeek` | number | Performance past week percent. |
| `perfMonth` | number | Performance past month percent. |
| `perfQuarter` | number | Performance past quarter percent. |
| `perfHalfYear` | number | Performance past half year percent. |
| `perfYear` | number | Performance past year percent. |
| `perfYtd` | number | Performance year to date percent. |
| `perf3Y` | number | Performance past 3 years percent. |
| `perf5Y` | number | Performance past 5 years percent. |
| `perf10Y` | number | Performance past 10 years percent. |
| `analystRecom` | number | Mean analyst recommendation, 1 buy to 5 sell. |
| `targetPrice` | number | Mean analyst price target. |
| `prevClose` | number | Previous close price. |
| `price` | number | Current or last price. |
| `changePercent` | number | Price change percent. |
| `insiderTrades` | object\[] | Insider-trading rows (insider add-on), or `null`. |
| `insiderTradeCount` | number | Number of insider trades returned (insider add-on). |
| `latestNews` | object\[] | Latest news headlines (insider add-on), or `null`. |
| `newsCount` | number | Number of news items returned (insider add-on). |
| `aiValuation` | string | AI valuation read (AI add-on). |
| `aiFinancialHealth` | string | AI financial-health note (AI add-on). |
| `aiNotableSignals` | string\[] | AI notable signals (AI add-on). |
| `aiOneLiner` | string | AI one-line summary (AI add-on). |
| `url` | string | Source quote page URL. |
| `source` | string | Data source. |
| `observedAt` | string | ISO 8601 timestamp when the record was collected. |
| `error` | string | `null` on success. On an unknown ticker or failed run, a single item with a populated `error` field is written and not charged. |

Screener-mode rows populate `ticker`, `company`, `sector`, `industry`, `country`, `marketCap`, `peRatio`, `price`, `changePercent`, `volume`, `source` and `observedAt`.

### Example output record

Real screener row from a live run (input `{"mode":"screener","marketCap":"large","sector":"Technology"}`):

```json
{
  "ticker": "ACN",
  "company": "Accenture plc",
  "sector": "Technology",
  "industry": "Information Technology Services",
  "country": "Ireland",
  "marketCap": 111970000000,
  "peRatio": 14.61,
  "price": 182.98,
  "changePercent": -0.1,
  "volume": 611,
  "source": "finviz.com",
  "observedAt": "2026-08-20T11:27:31.004Z"
}
```

### Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace `<TOKEN>` with your Apify API token.

Run synchronously and get dataset items in one call:

```bash
curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~finviz-stocks-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"mode":"quote","tickers":["AAPL","MSFT","NVDA"],"maxResults":10}'
```

Start a screener run asynchronously:

```bash
curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~finviz-stocks-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"mode":"screener","index":"SP500","sector":"Healthcare","maxResults":100}'
```

Apify CLI:

```bash
apify call scrapers_lat/finviz-stocks-scraper \
  --input '{"mode":"quote","tickers":["TSLA"],"includeInsiderNews":true}'
```

### Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing `format`:

```bash
## JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

## CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

## Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"
```

`<DATASET_ID>` is returned as `defaultDatasetId` in the run object. Use `offset` and `limit` to page through large result sets. `clean=true` drops empty and internal fields.

### Billing and limits

- **Pay per result.** You are charged per stock record returned (`result` event), plus a small one-time `apify-actor-start` event per run. See the [pricing tab](https://apify.com/scrapers_lat/finviz-stocks-scraper/pricing) for current prices.
- **Optional add-ons.** `includeInsiderNews` and `aiStockSummary` are off by default, charged only when they actually return data, and disabled on free plans.
- **No charge on failure.** An unknown ticker or a failed run writes a single item with a populated `error` field and is not charged. Empty runs cost nothing.
- **Spend cap respected.** Set `maxTotalChargeUsd` on the run; once reached, the actor stops emitting and charging further billable results.
- **Free Apify plans** are capped at 10 records per run. Upgrade for higher `maxResults`.

### FAQ and troubleshooting

**A quote returned an error row. Why?**
The ticker was not found on the source (unknown, delisted, or a bad symbol). The actor writes an `error` item for it and does not charge. Check the symbol and try again.

**Are percentages returned with a `%` sign?**
No. Percentage metrics are parsed to plain numbers, so `27.62%` becomes `27.62`. Sizes such as market cap are expanded to full integers.

**How do I screen with filters that are not in the friendly list?**
Use `screenerFilters` with a raw Finviz `f=` expression, for example `cap_large,sec_technology,fa_pe_u20,ta_rsi_os30`. It combines with the friendly filters.

**What is in the insider and news add-on?**
The insider-trading table (insider name, relationship, date, transaction type, cost, shares, value, running total and SEC Form 4 date) and the latest news headlines with time, title, link and source, for the ticker.

**Does this need a login or an API key?**
No. You never provide any credentials. Proxy and retries are handled internally.

**Is this an official Finviz tool?**
No. This actor is independent and has no affiliation with Finviz. It reads only data that is publicly available on the site.

### Related scrapers

- [LATAM Stock Exchanges Scraper](https://apify.com/scrapers_lat/latam-stock-exchanges-scraper): listed companies and quotes from Latin American exchanges.
- [SEC EDGAR Company Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-filings-scraper): SEC filings by ticker or CIK.
- [FRED Economic Data Scraper](https://apify.com/scrapers_lat/fred-economic-data-scraper): US and global economic time series.

### More scrapers at scrapers.lat

Built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for US and Latin American public platforms: company registries, government data, finance, e-commerce and more. Browse the catalog or request a custom scraper at [scrapers.lat](https://scrapers.lat).

***

> Independent tool, not affiliated with Finviz. Accesses only publicly available data.

# Actor input Schema

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

quote = pull the full fundamentals snapshot for each ticker. screener = list stocks matching filters.

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

Stock tickers to pull fundamentals for in quote mode, e.g. AAPL, MSFT, NVDA. One record per ticker with the full snapshot.

## `screenerFilters` (type: `string`):

Screener mode only. Raw Finviz f= value, e.g. cap\_large,sec\_technology,fa\_pe\_u20. Combined with the friendly filters below. Leave empty to use only the friendly filters.

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

Screener mode friendly filter for market capitalization.

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

Screener mode friendly filter for sector.

## `exchange` (type: `string`):

Screener mode friendly filter for listing exchange.

## `index` (type: `string`):

Screener mode friendly filter to restrict to a major index.

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

Maximum number of stock records to collect across the whole run. Free Apify plans are capped at 10 per run.

## `includeInsiderNews` (type: `boolean`):

Quote mode only. Attach the insider-trading table (buys/sells with insider, relationship, shares, value) and the latest news headlines for each ticker. Charged only when real insider rows or news are returned. Disabled on free plans.

## `aiStockSummary` (type: `boolean`):

Quote mode only. Use AI to add a valuation read, financial-health note, notable signals and a one-line summary from the fundamentals. Charged only when a usable summary is returned. Disabled on free plans.

## Actor input object example

```json
{
  "mode": "quote",
  "tickers": [
    "AAPL",
    "MSFT",
    "NVDA"
  ],
  "marketCap": "",
  "sector": "",
  "exchange": "",
  "index": "",
  "maxResults": 10,
  "includeInsiderNews": false,
  "aiStockSummary": false
}
```

# Actor output Schema

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

No description

# 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 = {
    "tickers": [
        "AAPL",
        "MSFT",
        "NVDA"
    ],
    "maxResults": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/finviz-stocks-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 = {
    "tickers": [
        "AAPL",
        "MSFT",
        "NVDA",
    ],
    "maxResults": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/finviz-stocks-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 '{
  "tickers": [
    "AAPL",
    "MSFT",
    "NVDA"
  ],
  "maxResults": 10
}' |
apify call scrapers_lat/finviz-stocks-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapers_lat/finviz-stocks-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/CpPFed3bJiZAKbk1Y/builds/RWkBNoDGkhFiJcU24/openapi.json