class_docstr: This class implements all the api calls to times series
      
class_docstr_tok: ["This","class","implements","all","the","api","calls","to","times","series"]
docstr: Return best matching symbols and market information
  based on keywords. It raises ValueError when problems arise
  
  Keyword Arguments:
      keywords: the keywords to query on
docstr_tok: ["Return","best","matching","symbols","and","market","information","based","on","keywords",".","It","raises","ValueError","when","problems","arise","Keyword","Arguments",":","keywords",":","the","keywords","to","query","on"]
code: def get_symbol_search(self, keywords):
      """Return best matching symbols and market information
      based on keywords. It raises ValueError when problems arise
  
      Keyword Arguments:
          keywords: the keywords to query on
  
      """
      _FUNCTION_KEY = "SYMBOL_SEARCH"
      return _FUNCTION_KEY, "bestMatches", None
  
file_path: alpha_vantage/alpha_vantage/async_support/timeseries.py
imports: from .alphavantage import AlphaVantage
label_desc: Use image node_id 10 for calling the TimeSeries obj's underlying member method code with example usage: obj.get_symbol_search(keywords) and returns: _FUNCTION_KEY,  str,  None