how to retrieve multiple jobs using google-jobs-api

[SaiSanthosh1508]

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Example Code

from langchain_community.tools.google_jobs import GoogleJobsQueryRun
from langchain_community.utilities.google_jobs import GoogleJobsAPIWrapper

jobs_api = GoogleJobsAPIWrapper()
google_jobs = GoogleJobsQueryRun(api_wrapper=jobs_api)

tools = [google_jobs]

from langchain_google_genai import ChatGoogleGenerativeAI

model = ChatGoogleGenerativeAI(model="gemini-1.5-pro")

job_search_prompt = PromptTemplate.from_template(
    """
    Answer the following questions as best you can. You have access to the following tools:

    {tools}

    Available tool names for actions: [{tool_names}]

    Use the following format:

    Question: The input job query you must address
    Thought: Analyze the user's job query and identify the key requirements such as job title, location, company, job type, and experience level.
    Action: Select the most relevant action/tool, should be one of [{tool_names}]
    Action Input: The input for the action/tool, formatted as a structured query based on the user's requirements
    Observation: The result returned by the action/tool
    ... (this Thought/Action/Action Input/Observation cycle can repeat N times as needed)
    Thought: I now know the final answer
    Final Answer: List all matching jobs, each on a new line, summarizing the title, company, and location.

    Begin!

    Question: {input}
    Thought:{agent_scratchpad}
    """
)

from langchain.agents import AgentType
from langchain.agents import create_react_agent

agent = create_react_agent(llm = model,
                           tools =tools,
                           prompt = job_search_prompt)

agent_executor = AgentExecutor(agent=agent,tools=tools,verbose=True,handle_parsing_errors=True)

response  = agent_executor.invoke({
    "input":"Find me internships opputunities related to machine learning,deep learning or generative ai in india"
})

Description

I'm trying to get multiple jobs,but no matter what I try I'm only getting one job search, also there is no parameter to set the number of values to be retrieved

System Info

System Information

OS: Windows
OS Version: 10.0.26100
Python Version: 3.12.6 (tags/v3.12.6:a4a2d2b, Sep 6 2024, 20:11:23) [MSC v.1940 64 bit (AMD64)]

Package Information

langchain_core: 0.3.15
langchain: 0.3.4
langchain_community: 0.3.3
langsmith: 0.1.137
langchain_chroma: 0.1.4
langchain_google_genai: 2.0.4
langchain_groq: 0.2.0
langchain_huggingface: 0.1.0
langchain_ollama: 0.2.0
langchain_openai: 0.2.3
langchain_text_splitters: 0.3.0
langserve: 0.3.0

Optional packages not installed

langgraph

Other Dependencies

aiohttp: 3.10.10
async-timeout: Installed. No version info available.
chromadb: 0.5.15
dataclasses-json: 0.6.7
fastapi: 0.115.3
google-generativeai: 0.8.3
groq: 0.11.0
httpx: 0.27.2
huggingface-hub: 0.26.1
jsonpatch: 1.33
numpy: 1.26.4
ollama: 0.3.3
openai: 1.52.2
orjson: 3.10.10
packaging: 24.1
pillow: 10.4.0
pydantic: 2.9.2
pydantic-settings: 2.6.0
PyYAML: 6.0.2
requests: 2.32.3
requests-toolbelt: 1.0.0
sentence-transformers: 3.2.1
SQLAlchemy: 2.0.36
sse-starlette: 2.1.3
tenacity: 9.0.0
tiktoken: 0.8.0
tokenizers: 0.20.1
transformers: 4.46.0
typing-extensions: 4.12.2

[feijoes]

@SaiSanthosh1508 the GoogleJobsAPIWrapper only extracts information about one job.

Try creating a CustomGoogleJobsAPIWrapper and add a custom number_jobs parameter to extract multiple job entries.

class CustomGoogleJobsAPIWrapper(GoogleJobsAPIWrapper):
    
    def __init__(self, number_jobs: int, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.number_jobs = number_jobs
        
    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 n job info:
        res_str = ""
        for i in range(self.number_jobs):
            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"
        

or just go for job in total_results if you want all results