# Job Description Parser (`faisalakhtar12/job-description-parser`) Actor

Extract structured JSON from any job description using AI. Returns salary, skills, tech stack, seniority, remote policy, benefits and more.

- **URL**: https://apify.com/faisalakhtar12/job-description-parser.md
- **Developed by:** [Faisal Akhtar](https://apify.com/faisalakhtar12) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Job Description Parser

Extract structured JSON from any job description in seconds using AI. Paste any job posting — from LinkedIn, Indeed, or anywhere else — and get back clean, validated data every time.

### What it does

Job Description Parser uses AI to extract key information from job postings. No regex, no brittle parsing rules. It handles messy real-world job descriptions including boilerplate, noise, and non-standard formatting.

**Input:** Raw job description text (paste from any source)

**Output:** Structured JSON with 16 fields

### Extracted fields

- 📋 **Job title** — exact role name
- 🏢 **Company** — hiring organization
- 📍 **Location** — city, state, country
- 🏠 **Remote policy** — remote, hybrid, or onsite
- ⏰ **Employment type** — full-time, part-time, or contract
- 📊 **Seniority level** — entry, mid, senior, lead, or executive
- 💰 **Salary min/max** — numeric values with currency
- 🛠️ **Required skills** — must-have competencies
- ⭐ **Preferred skills** — nice-to-have competencies
- 💻 **Tech stack** — specific technologies mentioned
- 📅 **Years of experience** — minimum required
- 🎓 **Education required** — degree or equivalent
- 🎁 **Benefits** — perks and benefits listed
- ✈️ **Visa sponsorship** — true, false, or null

### How to use it

1. Open the Actor and click **Start**
2. Paste the full text of any job description into the **Job Description** field
3. Click **Run**
4. Find your structured JSON in the **Output** tab

The Actor works with any job description format — LinkedIn postings, Indeed listings, raw copy-pasted text, postings with boilerplate and equal opportunity statements included. The AI strips irrelevant content and returns only structured signal.

### Sample output

```json
{
  "job_title": "Senior Python Engineer",
  "company": "Acme Corp",
  "location": "New York, NY",
  "remote_policy": "hybrid",
  "employment_type": "full-time",
  "seniority": "senior",
  "salary_min": 140000,
  "salary_max": 180000,
  "salary_currency": "USD",
  "required_skills": ["Python", "AWS", "Docker", "FastAPI"],
  "preferred_skills": ["Kubernetes", "Terraform"],
  "tech_stack": ["Python", "AWS", "Docker", "FastAPI", "PostgreSQL"],
  "years_experience_min": 5,
  "education_required": null,
  "benefits": ["Health insurance", "401k", "Unlimited PTO"],
  "visa_sponsorship": null
}
```

### Use cases

- **ATS and recruiting tools** — enrich job data automatically
- **Job aggregator platforms** — normalize listings from multiple sources
- **HR automation workflows** — parse postings in n8n, Make, or Zapier
- **Salary benchmarking** — extract compensation data at scale
- **Labor market analytics** — build datasets from job postings
- **Resume matching** — extract requirements to compare against candidate profiles

### Built for automation

This Actor integrates naturally into Apify schedules, n8n workflows, Make scenarios, and custom pipelines via the Apify API. Feed it a job description, get back structured data, use it wherever you need it.

### Reliability

- AI-powered extraction — not keyword matching
- Automatic retry with model escalation on parse failures
- Prompt injection resistant — tested against common attack patterns
- Handles long, noisy, boilerplate-heavy job descriptions
- Returns null for missing fields rather than guessing

# Actor input Schema

## `job_description` (type: `string`):

Paste the full text of the job description here

## Actor input object example

```json
{}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("faisalakhtar12/job-description-parser").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("faisalakhtar12/job-description-parser").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call faisalakhtar12/job-description-parser --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,faisalakhtar12/job-description-parser"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tLycYtHX3N2B4bKW8/builds/nSkHVgSWA6QOlvea6/openapi.json