# TradingView Scanner Scraper (`kibaale/tradingview-scanner-scraper`) Actor

Scrapes the TradingView stock screener for any market: US, India, Europe, Asia and dozens more. Returns one record per stock with the columns you choose - name, price, change, volume, market cap, sector, exchange and many more fields. Advanced screener filters supported. No browser, no login.

- **URL**: https://apify.com/kibaale/tradingview-scanner-scraper.md
- **Developed by:** [kibalee](https://apify.com/kibaale) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

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?

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

## TradingView Scanner Scraper

Scrapes the **TradingView stock screener** for any market with no browser and no login.

### What you get

One record per stock with every column you request, for example:

```json
{
  "symbol": "NYSE:U",
  "name": "Unity Software Inc.",
  "description": "Unity Software Inc. operates a real-time 3D development platform...",
  "close": 38.42,
  "change": 1.21,
  "volume": 8345678,
  "market_cap_basic": 15200000000,
  "sector": "Technology Services",
  "exchange": "NYSE",
  "type": "stock"
}
```

### Markets

`america` (default), `india`, `europe`, `asia`, `uk`, `canada`, `japan`, `korea`, `china`, `germany`, `france`, `brazil`, `world`, `crypto`, `forex`, `cfd` and more.

### Columns

Any TradingView screener field, e.g. `name`, `description`, `close`, `change`, `volume`, `market_cap_basic`, `sector`, `industry`, `exchange`, `type`, `price_earnings_ttm`, `dividends_yield_current`, `employees`, `country`.

### Filters

The screener filter uses TradingView's scan language: triplets of `[left, operation, right]`, e.g.

```json
[
  {"left": "sector", "operation": "equal", "right": "Technology Services"},
  {"left": "market_cap_basic", "operation": "greater", "right": 10000000000}
]
```

Default filter: all rows that have a market cap.

### What it does not do

- It does not scrape TradingView charts, news or social data.
- It is not a live streaming feed — each run takes a snapshot of the screener at run time.
- It returns the fields TradingView exposes in the screener only; fields outside the screener are not available.

### Input

| Field | Description |
|---|---|
| `markets` | Markets to scrape (default `["america"]`) |
| `columns` | Screener columns to return (defaults to a sensible set) |
| `filter` | Optional screener filter triplets (default: has market cap) |
| `maxResults` | Cap on rows per market (default `1000`) |

### Output

One record per stock in the dataset, flattened: `symbol` plus each requested column as its own field.

# Actor input Schema

## `markets` (type: `array`):

TradingView scanner markets to scrape, e.g. america, india, europe, asia, uk, canada, japan, crypto, forex, world.

## `columns` (type: `array`):

Screener columns to return. Common fields: name, description, close, change, volume, market\_cap\_basic, sector, industry, exchange, type, price\_earnings\_ttm, dividends\_yield\_current, employees, country. Leave empty to use the default set.

## `filter` (type: `array`):

Optional TradingView scan filter as triplets \[left, operation, right], e.g. \[{"left":"sector","operation":"equal","right":"Technology Services"},{"left":"market\_cap\_basic","operation":"greater","right":10000000000}]. Default: all rows with a market cap.

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

Cap on rows per market (america has ~13k, india ~7k).

## Actor input object example

```json
{
  "markets": [
    "america"
  ],
  "columns": [
    "name",
    "description",
    "close",
    "change",
    "volume",
    "market_cap_basic",
    "sector",
    "exchange",
    "type"
  ],
  "filter": [
    {
      "left": "market_cap_basic",
      "operation": "nempty"
    }
  ],
  "maxResults": 1000
}
```

# Actor output Schema

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

Stock records stored in the run's default dataset

# 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 = {
    "markets": [
        "america"
    ],
    "columns": [
        "name",
        "description",
        "close",
        "change",
        "volume",
        "market_cap_basic",
        "sector",
        "exchange",
        "type"
    ],
    "filter": [
        {
            "left": "market_cap_basic",
            "operation": "nempty"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kibaale/tradingview-scanner-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 = {
    "markets": ["america"],
    "columns": [
        "name",
        "description",
        "close",
        "change",
        "volume",
        "market_cap_basic",
        "sector",
        "exchange",
        "type",
    ],
    "filter": [{
            "left": "market_cap_basic",
            "operation": "nempty",
        }],
}

# Run the Actor and wait for it to finish
run = client.actor("kibaale/tradingview-scanner-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 '{
  "markets": [
    "america"
  ],
  "columns": [
    "name",
    "description",
    "close",
    "change",
    "volume",
    "market_cap_basic",
    "sector",
    "exchange",
    "type"
  ],
  "filter": [
    {
      "left": "market_cap_basic",
      "operation": "nempty"
    }
  ]
}' |
apify call kibaale/tradingview-scanner-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kibaale/tradingview-scanner-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/tocE4FxRrNzyqzNye/builds/gKRDYwW5dXocjYfSX/openapi.json