# Job-nexus (`scenic_bookmark/job-nexus`) Actor

This Actor scrapes job listings from public job boards and enriches them into structured, analysis-ready data.
It is designed for recruiters, job market analysts, startups, and AI/LLM pipelines that need reliable job data without manual effort.

- **URL**: https://apify.com/scenic\_bookmark/job-nexus.md
- **Developed by:** [sujan shetty](https://apify.com/scenic_bookmark) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 14 total users, 0 monthly users, 0.0% runs succeeded, 4 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.02 / 1,000 job\_listings

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

## Job Nexus

A powerful Apify Actor that scrapes job listings from **RemoteOK**, **LinkedIn**, and **Naukri**. It allows you to search for jobs by keywords and optionally clean the job descriptions using Google's Gemini AI.

> **Note**: LinkedIn and Naukri scrapers are **experimental** and work best with small volumes. They use headless browsers (Playwright) which makes the actor heavier and slower than the RemoteOK-only version.

### Features

- **Multi-Source Scraping**:
  - **RemoteOK** (Default): Fast, API-based scraping.
  - **LinkedIn** (Experimental): Scrapes public job search pages. Includes smart filtering to skip "masked" jobs (hidden titles/companies). *Note: Strict rate limits apply.*
  - **Naukri** (Experimental): Scrapes job listings from Naukri.com.
- **Keyword Search**: Scrape jobs matching specific keywords (e.g., "devops", "react", "data scientist").
- **AI-Powered Cleaning**: specific integration with Google Gemini 2.5 Flash Lite to convert messy HTML job descriptions into clean, readable plain text.
- **Configurable Limit**: Set a maximum number of jobs to scrape to control costs and runtime.
- **Proxy Support**: Built-in proxy configuration to avoid IP blocking.

### Inputs

| Input | Type | Default | Description |
|-------|------|---------|-------------|
| `keywords` | Array | `["data scientist"]` | List of keywords to search for. |
| `location` | String | `"Bangalore"` | Job location filter (e.g. "San Francisco", "Remote"). |
| `maxJobs` | Integer | `10` | Maximum number of jobs to scrape **per source**. |
| `useLLM` | Boolean | `false` | Enable AI cleaning of job descriptions. |
| `geminiApiKey`| String | `""` | **Required if useLLM is true.** Your Google Gemini API Key. |
| `enableRemoteOK`| Boolean | `true` | Enable scraping from RemoteOK. |
| `enableLinkedIn`| Boolean | `false` | Enable scraping from LinkedIn (Experimental). |
| `enableNaukri`| Boolean | `false` | Enable scraping from Naukri (Experimental). |

### Gemini AI Integration

This actor supports **Google Gemini 2.5 Flash Lite** for cleaning job descriptions. When enabled, the actor sends the raw HTML description to Gemini and replaces it with a clean, plain-text version.

#### How to use AI Cleaning:

1. Get a free API Key from [Google AI Studio](https://aistudio.google.com/).
2. Set `useLLM` to `true` in the input configuration.
3. Paste your API Key into the `geminiApiKey` field.

**Note on Rate Limits**: The actor includes a built-in delay (4 seconds) between AI requests to respect the free tier rate limits of the Gemini API.

### Output

The actor stores results in the default Apify dataset. Each item contains:

- `title`
- `company`
- `location`
- `applyUrl` (Direct link to job application)
- `date`
- `source` (RemoteOK, LinkedIn, or Naukri)
- `description` (Cleaned text if AI is used, otherwise raw HTML or skipped for some sources)
- `salary` (If available)

> **Pro Tip**: If you see "There are no items on this page" in the **Overview** tab, click on the **"All fields"** tab to see all scraped data columns.

### Usage Tips

- **LinkedIn & Naukri**: These sites have strict anti-bot protections. If you see few results or errors, it's likely due to IP blocking. Using residential proxies (configured in Apify) can help.
- **Cost**: Enabling LinkedIn/Naukri uses "Compute Units" faster because it launches a full Chrome browser for each request.

### License

ISC

# Actor input Schema

## `keywords` (type: `array`):

List of keywords to search for jobs (e.g. 'data scientist', 'software engineer').

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

Location to search for jobs (e.g. 'Bangalore', 'Remote', 'India').

## `maxJobs` (type: `integer`):

Maximum number of jobs to scrape PER source.

## `useLLM` (type: `boolean`):

If enabled, uses Google Gemini to clean HTML descriptions.

## `enableRemoteOK` (type: `boolean`):

Start with RemoteOK crawler (default enabled).

## `geminiApiKey` (type: `string`):

Required if 'Use Gemini LLM' is enabled.

## `enableLinkedIn` (type: `boolean`):

WARNING: High risk of blocking. Enables experimental scraping of public LinkedIn job pages.

## `enableNaukri` (type: `boolean`):

Enables experimental scraping of Naukri.com listings.

## Actor input object example

```json
{
  "keywords": [
    "data scientist"
  ],
  "location": "Bangalore",
  "maxJobs": 10,
  "useLLM": false,
  "enableRemoteOK": true,
  "enableLinkedIn": false,
  "enableNaukri": false
}
```

# Actor output Schema

## `overview` (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("scenic_bookmark/job-nexus").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("scenic_bookmark/job-nexus").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 scenic_bookmark/job-nexus --silent --output-dataset

```

## MCP server setup

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

```

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/Gt54f9b7RzVUPr5Lp/builds/pCYqGknoOaN0TJ7G7/openapi.json