Source code for langchain_community.utilities.google_jobs

"""Util that calls Google Scholar Search."""
from typing import Any, Dict, Optional, cast

from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env

[docs]class GoogleJobsAPIWrapper(BaseModel): """Wrapper for SerpApi's Google Scholar API You can create key by signing up at: The wrapper uses the python package: To use, you should have the environment variable ``SERPAPI_API_KEY`` set with your API key, or pass `serp_api_key` as a named parameter to the constructor. Example: .. code-block:: python from langchain_community.utilities import GoogleJobsAPIWrapper google_Jobs = GoogleJobsAPIWrapper()'langchain') """ serp_search_engine: Any serp_api_key: Optional[SecretStr] = None class Config: """Configuration for this pydantic object.""" extra = Extra.forbid @root_validator() def validate_environment(cls, values: Dict) -> Dict: """Validate that api key and python package exists in environment.""" values["serp_api_key"] = convert_to_secret_str( get_from_dict_or_env(values, "serp_api_key", "SERPAPI_API_KEY") ) try: from serpapi import SerpApiClient except ImportError: raise ImportError( "google-search-results is not installed. " "Please install it with `pip install google-search-results" ">=2.4.2`" ) serp_search_engine = SerpApiClient values["serp_search_engine"] = serp_search_engine return values
[docs] def run(self, query: str) -> str: """Run query through Google Trends with Serpapi""" # set up query serpapi_api_key = cast(SecretStr, self.serp_api_key) params = { "engine": "google_jobs", "api_key": serpapi_api_key.get_secret_value(), "q": query, } total_results = [] client = self.serp_search_engine(params) total_results = client.get_dict()["jobs_results"] # extract 1 job info: res_str = "" for i in range(1): job = total_results[i] res_str += ( "\n_______________________________________________" + f"\nJob Title: {job['title']}\n" + f"Company Name: {job['company_name']}\n" + f"Location: {job['location']}\n" + f"Description: {job['description']}" + "\n_______________________________________________\n" ) return res_str + "\n"