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langchain-job-opportunities-api

LangChain tools for Job Opportunities API: live job postings taken straight from employers' own career pages, their ATS feeds and official government feeds.

Disclosure: I am the founder of Job Opportunities API. There is a paid tier. This package is MIT and free to use.

Why

Job data is a common agent need, and it is usually wired up by scraping job boards. That breaks constantly and sits in a grey legal area. JOA is a licensed, maintained source: every posting comes from the employer, and each row reports where its fields came from.

A free key is 1,000 records a month with no card, and the statistics endpoints are keyless, so you can evaluate this before committing.

Install

pip install langchain-job-opportunities-api

Setup

Get a free key at https://jobopportunitiesapi.org/login and set it:

export JOA_API_KEY=...

Usage

from langchain_job_opportunities_api import job_opportunities_api_tools

tools = job_opportunities_api_tools()

# hand them to any LangChain agent
agent = create_tool_calling_agent(llm, tools, prompt)

The four tools

Tool What it does
job_search Free-text search over live postings, optional ISO country filter
job_get One full posting by id, with provenance for every field
company_hiring An employer's open roles and hiring signal
job_changes The change feed since a timestamp, for keeping a local copy in sync

API contract

  • Base URL: https://api.jobopportunitiesapi.org
  • Auth: Authorization: Bearer <key>. A key with no card is fine.
  • 401 when the key is missing, 402 when the monthly records are used up.

The tools map both error codes to readable output rather than raising, so an agent can recover without a stack trace.

Honest limits

  • Coverage is employer-direct, so it is not every job on the internet. It is the ones we can trace to a source.
  • Salary fields are null when the employer did not publish a number. We never infer one.

Licence

MIT for this code. The data behind the API has its own terms: https://jobopportunitiesapi.org/terms

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