TradingView Screener Scraper — Stocks, Crypto & Forex Data

Screen thousands of stocks, cryptocurrencies and forex pairs from TradingView — with price, % change, volume, market cap, sector, RSI, P/E, EPS, dividend yield and 52-week range. Filter by market cap, RSI or sector, sort, and export clean JSON/CSV/Excel in seconds. No API key, no login.

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What This Actor Does

The TradingView Screener Scraper turns TradingView's powerful screener into a structured dataset. Pick a market and it returns each symbol as a clean row with:

• Identity — symbol, ticker, name, exchange, TradingView link
• Price action — last price, % change, volume
• Fundamentals — market cap, sector, industry, P/E ratio, EPS, dividend yield
• Technicals — 14-day RSI, 52-week high/low
• Plus any extra TradingView field you add (MACD, volatility, moving averages, and hundreds more)

Screen US stocks (20,000+), crypto (64,000+ pairs), forex (6,000+), or the stock market of Turkey, Germany, UK, India, Canada, Australia, France, Spain, Italy, Brazil or Japan. Filter, sort and paginate through the whole result set.

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Why Use This

• TradingView's data is behind a JSON screener whose field names and request format are undocumented and easy to get wrong — this Actor speaks it fluently.
• Values like market_cap_basic, dividends_yield, total_value_traded, RSI differ by market (stocks vs. crypto) — handled for you with the right preset per market.
• You get an analysis-ready table (symbol, price, change, market cap, sector, RSI, P/E…) instead of raw indexed arrays.
• Built-in filters (market cap, RSI oversold/overbought, sector) and sorting so you can build real screens, not just dumps.

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Quick Start

Run it in the console (no code)

1. Open the Actor and click Try for free.
2. Choose a Market (US Stocks, Crypto, Forex, or a country).
3. Optionally set filters: Min market cap, Max RSI (oversold), Min RSI (overbought), Sector, Min volume.
4. Set Sort by + Max symbols and click Start.
5. Export as JSON, CSV, Excel, or HTML, or push to Google Sheets, a webhook or a database.

Run it via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "market": "america",
    "minMarketCap": 1000000000,   # $1B+
    "sortBy": "change",
    "sortOrder": "desc",
    "maxItems": 200,
}

run = client.actor("YOUR_USERNAME/tradingview-scraper").call(run_input=run_input)

for s in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(s["ticker"], s["price"], s["changePercent"], "%  RSI", s["rsi"])

Oversold large-cap screen (Python)

run_input = {
    "market": "america",
    "minMarketCap": 10000000000,   # $10B+
    "maxRSI": 30,                  # oversold
    "sortBy": "market_cap_basic",
    "maxItems": 100,
}
run = client.actor("YOUR_USERNAME/tradingview-scraper").call(run_input=run_input)
rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())
for r in rows:
    print(f'{r["ticker"]:6} RSI {r["rsi"]:.0f}  div {r.get("dividendYield")}  {r["name"]}')

Crypto by market cap (Node.js)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('YOUR_USERNAME/tradingview-scraper').call({
    market: 'crypto',
    sortBy: 'market_cap_calc',
    maxItems: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map(i => `${i.ticker} $${i.price}`));

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Input Parameters

Field	Type	Description
market	select	america, crypto, forex, or a country (turkey, germany, uk, india, canada, australia, france, spain, italy, brazil, japan).
minMarketCap	integer	Only symbols with market cap ≥ this (e.g. 1000000000 = $1B).
maxRSI	integer	Only symbols with 14-day RSI ≤ this (e.g. 30 = oversold).
minRSI	integer	Only symbols with 14-day RSI ≥ this (e.g. 70 = overbought).
sector	string	Filter stocks by sector (e.g. Technology Services, Finance, Energy Minerals).
minVolume	integer	Only symbols with volume ≥ this.
sortBy	string	TradingView field to sort by. Default: market cap. (e.g. change, volume, RSI, close).
sortOrder	select	desc or asc.
extraColumns	array	Extra TradingView fields to include (e.g. MACD.macd, Volatility.D, average_volume_10d_calc).
maxItems	integer	Maximum symbols to return. Default 100.
proxyConfiguration	object	Optional. Works fine without a proxy.

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Output

Each symbol is one dataset record. Example (US stock):

{
  "symbol": "NASDAQ:PLTR",
  "ticker": "PLTR",
  "name": "Palantir Technologies Inc.",
  "exchange": "NASDAQ",
  "price": 191.45,
  "changePercent": 3.49,
  "changeAbs": 6.45,
  "volume": 54666468,
  "marketCap": 430814384136,
  "sector": "Technology Services",
  "industry": "Packaged Software",
  "rsi": 66.7,
  "peRatio": 163.14,
  "eps": 1.17,
  "dividendYield": null,
  "high52Week": 207.5,
  "low52Week": 21.2,
  "tradingViewUrl": "https://www.tradingview.com/symbols/NASDAQ-PLTR/",
  "scrapedAt": "2026-09-23T19:30:00.000Z"
}

Crypto rows carry ticker, name, price, changePercent, volume24h, marketCap, circulatingSupply, rsi. Forex rows carry ticker, name, price, changePercent, bid, ask.

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Use Cases

1. Stock screening

Build any screen: large-cap tech under RSI 30, high-dividend financials, top gainers by % change, most-active by volume. Filter + sort exactly like the TradingView screener, but exportable.

2. Oversold / overbought signals

maxRSI: 30 for oversold candidates, minRSI: 70 for overbought — across any market, sorted by market cap or volume.

3. Sector & market analysis

Pull an entire sector or country market and analyze valuation (P/E), momentum (RSI, % change) and size (market cap) distributions.

4. Crypto market scan

Rank 64,000+ crypto pairs by market cap or 24h volume; track price and RSI across exchanges.

5. Dividend income screening

Sort stocks by dividends_yield and filter by market cap to find quality income candidates.

6. Quant & backtesting datasets

Assemble clean, structured cross-sectional market data (price, fundamentals, technicals) for research, models and dashboards. Schedule it for a daily snapshot time series.

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Markets & Fields

Markets: US & 11 country stock markets, plus Crypto and Forex. Stock fields include price, % change, volume, market cap, sector, industry, RSI, P/E, EPS, dividend yield, 52-week high/low. Crypto adds 24h volume, circulating supply. Add any other TradingView field via extraColumns.

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Frequently Asked Questions

Do I need a TradingView account or API key? No. The Actor reads publicly available screener data — no login or key.

How many symbols can I get? As many as match your filters (US stocks alone are 20,000+). Set maxItems to cap it.

How do I filter by sector? Set sector to a TradingView sector name (e.g. Technology Services, Finance, Health Technology).

Can I add fields that aren't in the presets? Yes — put TradingView field names in extraColumns (e.g. MACD.macd, Volatility.D).

How fresh are the numbers? They reflect the latest screener values at scrape time (real-time/slightly delayed depending on the exchange, same as the TradingView site).

What export formats are supported? JSON, CSV, Excel, HTML, or via API — plus Google Sheets, webhooks, Make, and Zapier.

Can I schedule it? Yes — use Apify Schedules for a daily market snapshot and build a time series.

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Legal & Responsible Use

This Actor collects only publicly available market data for research and informational purposes. It is not financial, investment, or trading advice. Market data may be delayed and should not be relied upon for trading decisions. You are responsible for complying with the laws and terms that apply to you. Please:

• Respect TradingView's Terms of Service and robots directives.
• Do not use the data for unlawful purposes.
• Use reasonable request volumes and scheduling.

This project is an independent tool and is not affiliated with, endorsed by, or sponsored by TradingView.