# Job Scraper (`kindred_llama/job-scraper`) Actor

🚀 Multi-Site Job Scraper fetches real-time jobs from 7+ leading job boards in one run. Search by title, location, and experience, then get clean, deduplicated, structured results—perfect for recruiters, job boards, analytics, and AI-powered job search applications.

- **URL**: https://apify.com/kindred\_llama/job-scraper.md
- **Developed by:** [Shailesh Pawar](https://apify.com/kindred_llama) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 22 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## 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

## 💼 Multi-Site Job Scraper

A powerful multi-site job aggregation platform built with FastAPI and Python. This actor scrapes job postings from multiple platforms, cleans the data, parses salaries and experience requirements, and pushes structured results to your Apify dataset.

### ✨ Features

- **Multi-Source Scraping**: Scrapes job postings from LinkedIn, Indeed, SimplyHired, Remotive, RemoteOK, Arbeitnow, and Jobicy.
- **Smart Deduplication**: Automatically deduplicates cross-posted jobs by matching titles and company names.
- **Intelligent Parsing**: Extracts salary ranges, experience requirements, and required skills directly from raw job descriptions.
- **Advanced Filtering**: Match score calculation based on strict keyword matching, location, job type, education level, and required skills.

### 📥 Input

The Actor accepts the following input parameters:

| Field | Type | Description | Default |
| ----- | ---- | ----------- | ------- |
| `keyword` | String | The job title or keyword to search for (e.g., "Software Engineer") | *(Required)* |
| `location` | String | Location for the search (e.g., "India", "Remote") | `""` |
| `experience` | Integer | Max years of experience allowed (Enter 0 for Freshers) | `0` |
| `maxResults` | Integer | Max jobs to scrape per selected source | `20` |
| `sources` | Array | Select which job portals to scrape | `["LinkedIn", "Indeed", "SimplyHired"]` |
| `postedMaxDays` | Integer | Scrape jobs posted in the last X days | `0` (Any time) |
| `jobType` | String | Filter by Job Type ("Any", "Full-time", "Contract", "Remote") | `"Any"` |
| `educationLevel` | String | Filter by Education ("Any", "Bachelors", "Masters") | `"Any"` |
| `skills` | String | Comma-separated required skills (e.g., "Python, React") | `""` |

### 📤 Output

The Actor pushes the scraped jobs to the default Apify **Dataset**. Each output record represents a matched job containing:

```json
{
  "title": "Senior Python Developer",
  "company": "Tech Corp",
  "location": "Remote, India",
  "url": "https://linkedin.com/jobs/view/...",
  "salary": "₹15,00,000 - ₹25,00,000",
  "experience_range": "3 - 5 years",
  "skills_found": "python, django, fastapi, aws",
  "summary": "We are looking for a Senior Python Developer with strong backend experience...",
  "source": "LinkedIn",
  "posted_date": "2023-10-25",
  "match_score": 95
}
```

### 💻 Dual-Mode Execution

This codebase is unique! It can act as a standard **Apify Scraper** (which you are using right now) or it can be run as a **Web Interface Server**.
If you clone the repository and run it locally with Docker, it will spin up a beautiful web dashboard UI on port 7860!

```bash
docker build -t job-scraper .
docker run -p 7860:7860 job-scraper
```

# Actor input Schema

## `keyword` (type: `string`):

The job title or keyword to search for (e.g., 'Software Engineer').

## `location` (type: `string`):

The location to search in (e.g., 'India', 'Remote', 'Bangalore').

## `experience` (type: `integer`):

Years of experience required. Enter 0 for Freshers.

## `maxResults` (type: `integer`):

Maximum number of jobs to scrape per source.

## `sources` (type: `array`):

Job portals to scrape (e.g. LinkedIn, Indeed, SimplyHired)

## `postedMaxDays` (type: `integer`):

Only get jobs posted in the last X days. Enter 0 for any time.

## `jobType` (type: `string`):

Filter by job type.

## `educationLevel` (type: `string`):

Filter by minimum education level.

## `skills` (type: `string`):

Comma-separated list of skills (e.g., 'Python, React, AWS').

## Actor input object example

```json
{
  "experience": 0,
  "maxResults": 20,
  "sources": [
    "LinkedIn",
    "Indeed",
    "SimplyHired"
  ],
  "postedMaxDays": 0,
  "jobType": "Any",
  "educationLevel": "Any"
}
```

# 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("kindred_llama/job-scraper").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("kindred_llama/job-scraper").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 kindred_llama/job-scraper --silent --output-dataset

```

## MCP server setup

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

```

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/0MLZsCqd5IlOf8ve3/builds/WXSM3yotF3lM7xvdW/openapi.json