Minds Community Discussions
Overview
The Minds module provides functionality to scrape and analyze community-generated content from TradingView's Minds feature. This includes questions, discussions, trading ideas, and sentiment analysis from the TradingView community.
Supported Data
For a complete list of supported exchanges and symbols, see Supported Data.
Input Specification
Minds Class Constructor
Parameters:
- export_result (bool): Whether to automatically export results to file. Defaults to False.
- export_type (str): Export format, either 'json' or 'csv'. Defaults to 'json'.
get_minds() Method
Parameters:
- symbol (str): The symbol to get discussions for (e.g., 'NASDAQ:AAPL'). Required.
- limit (int, optional): Maximum number of results to retrieve from the first page. If None, fetches all available data from the first page. Defaults to None.
Constraints:
- Symbol must include exchange prefix (e.g., 'NASDAQ:AAPL', 'BITSTAMP:BTCUSD')
- Symbol must be a non-empty string
- Limit must be a positive integer if provided
Output Specification
Response Structure
The method returns a dictionary with the following structure:
{
'status': str, # 'success' or 'failed'
'data': List[Dict], # List of mind discussions (only on success)
'total': int, # Total number of results retrieved
'symbol_info': Dict, # Information about the symbol
'pages': int, # Number of pages retrieved (always 1)
'error': str # Error message (only on failure)
}
Mind Item Schema
Each item in the data array contains:
{
'uid': str, # Unique identifier
'text': str, # Discussion text content
'url': str, # URL to the discussion
'author': {
'username': str, # Author's username
'profile_url': str, # URL to author's profile
'is_broker': bool # Whether author is a broker
},
'created': str, # Formatted creation date (YYYY-MM-DD HH:MM:SS)
'symbols': List[str], # List of symbols mentioned
'total_likes': int, # Number of likes
'total_comments': int, # Number of comments
'modified': bool, # Whether discussion was modified
'hidden': bool # Whether discussion is hidden
}
Symbol Info Schema
{
'short_name': str, # Short symbol name (e.g., 'AAPL')
'exchange': str # Exchange name (e.g., 'NASDAQ')
}
Code Examples
Basic Usage
from tradingview_scraper.symbols.minds import Minds
# Initialize Minds scraper
minds = Minds()
# Get discussions for Apple from first page
aapl_discussions = minds.get_minds(
symbol='NASDAQ:AAPL'
)
print(f"Found {aapl_discussions['total']} discussions")
for discussion in aapl_discussions['data']:
print(f"{discussion['author']['username']}: {discussion['text'][:50]}...")
Limited Discussions
# Get up to 100 discussions for Bitcoin from first page
btc_discussions = minds.get_minds(
symbol='BITSTAMP:BTCUSD',
limit=100
)
# Find most liked discussion
most_liked = max(btc_discussions['data'], key=lambda x: x['total_likes'])
print(f"Most liked discussion: {most_liked['total_likes']} likes")
print(f"Text: {most_liked['text']}")
Discussions with Export
# Get discussions and export to JSON
minds_with_export = Minds(export_result=True, export_type='json')
discussions = minds_with_export.get_minds(
symbol='NASDAQ:TSLA'
)
# This automatically saves to a JSON file
Large Dataset Retrieval
# Get up to 200 discussions for Apple from first page
all_discussions = minds.get_minds(
symbol='NASDAQ:AAPL',
limit=200
)
print(f"Retrieved {all_discussions['total']} discussions from first page")