Symbol Markets
Find all markets and exchanges where a symbol is traded.
Quick Start
from tv_scraper.scrapers.screening import SymbolMarkets
sm = SymbolMarkets()
result = sm.get_symbol_markets(symbol="AAPL")
for item in result["data"]:
print(item["symbol"], item["exchange"], item["close"])
API Reference
SymbolMarkets(export_result=False, export_type="json", timeout=10)
| Parameter | Type | Default | Description |
|---|---|---|---|
export_result |
bool |
False |
Export results to file |
export_type |
str |
"json" |
Export format: "json" / "csv" |
timeout |
int |
10 |
HTTP request timeout (seconds) |
scrape(symbol, fields=None, scanner="global", limit=150)
| Parameter | Type | Default | Description |
|---|---|---|---|
symbol |
str |
(required) | Symbol to search for (e.g. "AAPL") |
fields |
list[str]|None |
DEFAULT_FIELDS |
Columns to retrieve |
scanner |
str |
"global" |
Scanner region |
limit |
int |
150 |
Maximum number of results |
Supported scanners: global, america, crypto, forex, cfd
Default fields: name, close, change, change_abs, volume, exchange, type, description, currency, market_cap_basic
Response Format
{
"status": "success", # or "failed"
"data": [ # list of dicts (None on error)
{
"symbol": "NASDAQ:AAPL",
"name": "AAPL",
"close": 150.25,
"exchange": "NASDAQ",
...
}
],
"metadata": {
"scanner": "global",
"total": 5,
"total_available": 5,
},
"error": None # error message string on failure
}
Examples
Find all exchanges for a symbol
sm = SymbolMarkets()
result = sm.get_symbol_markets(symbol="AAPL")
print(f"AAPL is traded on {result['metadata']['total']} markets")
for item in result["data"]:
print(f" {item['symbol']} — {item['exchange']}")
Search crypto markets only
Custom fields
result = sm.get_symbol_markets(
symbol="TSLA",
fields=["name", "close", "volume", "exchange"],
scanner="america",
)