Minds Community Discussions
Overview
The Minds scraper fetches community-generated discussions from TradingView's Minds feature, including questions, trading ideas, and sentiment.
API
from tv_scraper.scrapers.social import Minds
scraper = Minds(export_result=False, export_type="json")
result = scraper.get_minds(exchange="NASDAQ", symbol="AAPL", limit=50)
Constructor
| Parameter | Type | Default | Description |
|---|---|---|---|
export_result |
bool |
False |
Whether to export results to file |
export_type |
str |
"json" |
Export format: "json" or `"csv" |
timeout |
int |
10 |
HTTP request timeout in seconds |
get_minds()
| Parameter | Type | Default | Description |
|---|---|---|---|
exchange |
str |
— | Exchange name (e.g. "NASDAQ") |
symbol |
str |
— | Trading symbol (e.g. "AAPL") |
limit |
Optional[int] |
None |
Max results to retrieve. None = fetch all |
Response Format
All responses use the standard envelope:
{
"status": "success",
"data": [
{
"text": "AAPL looking bullish today",
"url": "https://www.tradingview.com/minds/abc123",
"author": {
"username": "trader1",
"profile_url": "https://www.tradingview.com/u/trader1/",
"is_broker": false
},
"created": "2025-01-07 12:00:00",
"total_likes": 10,
"total_comments": 5
},
...
],
"metadata": {
"total": 42,
"pages": 2,
"symbol_info": {"short_name": "AAPL", "exchange": "NASDAQ"}
},
"error": null
}
Mind Item Schema
Each item in the data array contains:
{
"text": "AAPL looking bullish today",
"url": "https://www.tradingview.com/minds/abc123",
"author": {
"username": "trader1",
"profile_url": "https://www.tradingview.com/u/trader1/",
"is_broker": false
},
"created": "2025-01-07 12:00:00",
"total_likes": 10,
"total_comments": 5
}
Examples
Basic Usage
from tv_scraper.scrapers.social import Minds
scraper = Minds()
result = scraper.get_minds(exchange="NASDAQ", symbol="AAPL")
if result["status"] == "success":
for mind in result["data"]:
print(f"{mind['author']['username']}: {mind['text'][:60]}...")
With Limit
result = scraper.get_minds(exchange="BITSTAMP", symbol="BTCUSD", limit=20)
print(f"Retrieved {result['metadata']['total']} discussions")