# TradingView Ideas Scraper (`muhammadafzal/tradingview-ideas-scraper`) Actor

Scrape public TradingView ideas by feed or chart URL. Extract titles, analysis, symbols, Long/Short direction, authors, timestamps, engagement, hashtags, and chart images for market research.

- **URL**: https://apify.com/muhammadafzal/tradingview-ideas-scraper.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** Automation, Lead generation, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 scraped tradingview ideas

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Ideas Scraper

Scrape public TradingView community ideas for research, market-content monitoring, and trading-analysis workflows. Results contain the idea title, public analysis text, symbol, direction label, author, timestamp, engagement counts, chart image, hashtags, and canonical chart URL.

### What it extracts

| Field | Meaning |
|---|---|
| `ideaUrl`, `title` | Canonical public chart URL and idea title |
| `description`, `hashtags` | Visible public analysis text and hashtags |
| `symbol`, `exchange`, `direction` | Card market and Long/Short/Neutral label |
| `author`, `authorUrl`, `publishedAt` | Public attribution and timestamp |
| `imageUrl`, `comments`, `boosts` | Preview image and visible engagement |

Use `ideasUrl` for a feed such as `https://www.tradingview.com/ideas/technicalanalysis/`, or `ideaUrls` for exact public chart idea URLs. Feed pages are followed using TradingView's public numbered page URLs. Results are deduplicated and capped by `maxResults`.

### Example input

```json
{
  "ideasUrl": "https://www.tradingview.com/ideas/technicalanalysis/?sort=recent",
  "maxResults": 20,
  "maxPages": 2,
  "includeDescription": true
}
```

### Example output

```json
{
  "ideaUrl": "https://www.tradingview.com/chart/XAUUSD/ABC123-Gold-setup/",
  "title": "Gold setup",
  "description": "Bullish structure near resistance...",
  "symbol": "XAUUSD",
  "exchange": "OANDA:XAUUSD",
  "direction": "Long",
  "author": "trader",
  "publishedAt": "2026-08-20T10:23:16.000Z",
  "comments": 4,
  "boosts": 12,
  "hashtags": ["#XAUUSD", "#PriceAction"]
}
```

### Pricing and reliability

PPE charges `$0.001` per delivered dataset item plus a small actor-start event. A 20-result run therefore has a result-event estimate of `$0.02005` before any optional platform charges. The actor uses one polite direct HTTP session with bounded retries; HTTP 403/429 and exhausted request failures are reported in `OUTPUT`, not converted into fake empty records.

This actor only accesses public TradingView pages. It does not log in, use private ideas, bypass CAPTCHAs or paywalls, or provide investment advice. Respect TradingView's terms, robots guidance, copyright, and applicable laws when using results.

### Use cases

- Schedule repeatable collection and export results to downstream workflows.
- Build public prospect lists and qualify organizations or professionals before responsible outreach.
- Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
- Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.
- Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

### Run TradingView Ideas Scraper with the Apify API

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/tradingview-ideas-scraper').call({
  "ideasUrl": "https://www.tradingview.com/ideas/technicalanalysis/",
  "maxResults": 20,
  "maxPages": 2,
  "includeDescription": true,
  "requestDelayMs": 500
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

### Responsible use

Use this Actor only for data you are authorized to access. Follow the target website's terms, robots and access policies, and applicable privacy, database, copyright, anti-spam, and data-protection laws. Do not use it to bypass authentication or other access controls, collect private data, harass people, or make high-impact decisions without independent verification.

### Support

When reporting a problem, include the **Actor run ID**, a redacted input, the expected result, and a small public example URL when applicable. Do not post API tokens, cookies, credentials, or personal data in an issue.

### Frequently asked questions

#### Can I schedule TradingView Ideas Scraper?

Yes. Use an Apify schedule to run the same saved input at a chosen interval, then connect a webhook or integration to process the dataset when the run finishes.

#### How should I test a new input?

Begin with the prefilled example or a small limit. Confirm that the output fields, source coverage, runtime, and live charges match your workflow before increasing the scope.

#### How do I export the results?

Open the run's default dataset in Apify Console and export JSON, CSV, Excel, XML, or RSS. Applications can retrieve the same records through the Apify API client or REST dataset endpoint.

#### Can an AI agent call this Actor?

Yes. Add `muhammadafzal/tradingview-ideas-scraper` through the hosted Apify MCP server or call it through the API. The Actor's input and dataset schemas help agents construct valid requests and interpret returned records.

# Actor input Schema

## `ideasUrl` (type: `string`):

Use this when scraping a public TradingView ideas feed or category. Example: https://www.tradingview.com/ideas/technicalanalysis/. Leave blank when using ideaUrls.

## `ideaUrls` (type: `array`):

Optional public TradingView chart idea URLs. Use this for exact records instead of a feed, for example https://www.tradingview.com/chart/XAUUSD/ABC123-example/.

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

Maximum number of unique idea records to return. Enter 1–100.

## `maxPages` (type: `integer`):

Maximum numbered feed pages to visit when ideasUrl is used. Enter 1–10. Each page is a public TradingView ideas page.

## `includeDescription` (type: `boolean`):

Include the public idea analysis text and hashtags. Disable to return metadata only and reduce output size.

## `requestDelayMs` (type: `integer`):

Polite delay between requests. Enter 250–5000 milliseconds.

## Actor input object example

```json
{
  "ideasUrl": "https://www.tradingview.com/ideas/technicalanalysis/",
  "maxResults": 20,
  "maxPages": 2,
  "includeDescription": true,
  "requestDelayMs": 500
}
```

# Actor output Schema

## `summary` (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 = {
    "ideasUrl": "https://www.tradingview.com/ideas/technicalanalysis/"
};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammadafzal/tradingview-ideas-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 = { "ideasUrl": "https://www.tradingview.com/ideas/technicalanalysis/" }

# Run the Actor and wait for it to finish
run = client.actor("muhammadafzal/tradingview-ideas-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 '{
  "ideasUrl": "https://www.tradingview.com/ideas/technicalanalysis/"
}' |
apify call muhammadafzal/tradingview-ideas-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammadafzal/tradingview-ideas-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/JCj8vTLIaJCRCaxtg/builds/e0RDeIF81K4SJbuwc/openapi.json