tradingview-screener
A package for creating stock screeners with the TradingView API
Decision gist · record as of 2026-08-14
Yes. The package has low install friction, active maintenance, permissive MIT licensing, and no known vulnerabilities. It directly wraps TradingView's official API, eliminating the need for web scraping. Install it if you need programmatic access to TradingView market data; be aware that real-time data requires authentication and that unauthenticated queries return delayed data only.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires TradingView session authentication (via cookies or API login) for real-time data; unauthenticated queries return delayed data only.
- Low friction install with only two runtime dependencies (pandas, requests).
- Active maintenance with a recent release and 1130 GitHub stars.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute the package freely as long as you include the license notice.
last release 2026-06-20 (55 days) · last repo commit 2026-08-14 · 1,130 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 160,114 downloads/mo, #10,672 on PyPI
Alternatives
Verify before relying
pip install tradingview-screener
from tradingview_screener import Query
x = (Query()
.select('name', 'close', 'volume', 'market_cap_basic')
.get_scanner_data())
print(x)- Whether free tier access is sufficient for typical use cases or if a paid TradingView subscription is required
- Rate limiting and request throttling policies to avoid account bans or temporary blocks
- Exact number of supported data fields beyond the stated 3000+ figure
What it is and what it does
tradingview-screener is a low-level Python wrapper around TradingView's official screener API that lets you programmatically query market data without web scraping. It supports stocks across 70 countries, crypto, options, forex, CFDs, futures, bonds, and more—retrieving OHLC data, technical indicators, fundamental metrics like P/E and EPS, and TradingView-specific fields. You build queries using a chainable API (select, where, order_by, limit) with SQL-like filtering syntax and can freely mix multiple timeframes (1m through 1M) per field.
The package depends on pandas for data handling and requests for HTTP communication. It returns results as pandas DataFrames, making it easy to integrate with analysis pipelines. Real-time data requires TradingView session authentication via cookies or API login; unauthenticated queries return delayed data. The library is designed to be forward-compatible and documents the full API surface, including screener functions for stocks, crypto, options, forex, and other instruments.
Use it for
- Build automated stock screeners that filter by market cap, volume, technical indicators, and fundamental ratios without manual TradingView UI interaction.
- Retrieve historical OHLC and indicator data across multiple timeframes for backtesting trading strategies.
- Query crypto pairs, options chains, or forex instruments to monitor specific markets or build watchlists programmatically.
- Integrate TradingView data into a larger financial analysis or portfolio management system via pandas DataFrames.
- Access real-time streaming data for supported exchanges when authenticated with TradingView session credentials.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package has low install friction, active maintenance, permissive MIT licensing, and no known vulnerabilities. It directly wraps TradingView's official API, eliminating the need for web scraping. Install it if you need programmatic access to TradingView market data; be aware that real-time data requires authentication and that unauthenticated queries return delayed data only.
Install
tradingview-screener on PyPI
Before you install
Low friction install with only two runtime dependencies (pandas, requests). Active maintenance with a recent release and 1130 GitHub stars. Supports Python 3.9 through 3.14.
Requires TradingView session authentication (via cookies or API login) for real-time data; unauthenticated queries return delayed data only.
License in practice
MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute the package freely as long as you include the license notice.
Quickstart
pip install tradingview-screener
from tradingview_screener import Query
x = (Query()
.select('name', 'close', 'volume', 'market_cap_basic')
.get_scanner_data())
print(x)Verify before relying
- Whether free tier access is sufficient for typical use cases or if a paid TradingView subscription is required
- Rate limiting and request throttling policies to avoid account bans or temporary blocks
- Exact number of supported data fields beyond the stated 3000+ figure
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespandasrequests |
| Maintenance | Actively maintained 55 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 160,114 / month, #10,672 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Software DevelopmentTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: tradingview_screener-3.2.1-py3-none-any.whl
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See also tradingview-ta · tradingeconomics · robin-stocks · investor-agent · finvizfinance · metatrader5 · yahooquery · finance-datareader · technical · pandas_market_calendars