# BrighterMonday Jobs Scraper - Low-cost💲🔥💼🇰🇪 (`delectable_incubator/brightermonday-jobs-scraper-low-cost`) Actor

Scrape job listings from BrighterMonday Kenya 💼🇰🇪 with a powerful job scraper.

Extract job titles, companies, locations, job types, salaries, categories, and posting dates. Ideal for job market analysis, recruitment insights, and building structured employment datasets at scale 📊🚀

- **URL**: https://apify.com/delectable\_incubator/brightermonday-jobs-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Jobs, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<p align="center"> <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="BrighterMonday Kenya Jobs Scraper" width="100%"> </p>

***

### BrighterMonday Kenya Jobs Scraper 🇰🇪💼🔍

The BrighterMonday Kenya Jobs Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from BrighterMonday.com.

It enables job aggregation, recruitment insights, labor market analysis, lead generation, and structured dataset creation from one of East Africa’s leading job platforms.

***

### 🎯 What This Scraper Does

Simply configure job filters (function, location, experience level) and the scraper handles everything automatically.

✅ Extracts structured job listings from BrighterMonday Kenya

✅ Supports job function, location, and experience filters

✅ Collects key job data (title, company, salary, etc.)

✅ Captures job metadata and detailed descriptions

✅ Handles pagination automatically

✅ Detects featured and “Easy Apply” jobs

✅ Stops at your defined max items limit

✅ Ideal for recruitment, analytics & HR workflows

✅ Ready for automation pipelines

✅ Clean and structured output format

***

### 📊 Data Extracted

💼 Job Listing Information

| Field            | Description            |
| ---------------- | ---------------------- |
| 🆔 `jobId`       | Unique job identifier  |
| 📝 `jobTitle`    | Job title              |
| 🏢 `companyName` | Hiring company         |
| 📍 `location`    | Job location           |
| 💼 `jobType`     | Employment type        |
| 💰 `salary`      | Salary or salary range |
| 🗂 `category`    | Job category           |
| 📅 `postedDate`  | Date posted            |
| ⚡ `hasEasyApply` | Easy Apply indicator   |
| 🔗 `jobUrl`      | Direct job link        |

📄 Detailed Job Information

| Field             | Description             |
| ----------------- | ----------------------- |
| 🖼️ `companyLogo` | Company logo            |
| 📝 `description`  | Full job description    |
| ⭐ `isFeatured`    | Featured job indicator  |
| 🆕 `isNew`        | New job indicator       |
| ⚡ `hasEasyApply`  | Easy Apply availability |

***

### 🛠 How to Use

1️⃣ Configure Input

Provide Filters and max items:

```
{
  "job_function": "Software & Data",
  "location": "Nairobi",
  "experience_level": "Mid level",
  "max_items": 50
}
```

2️⃣ Run the Actor

• Loads job listings based on your filters

• Automatically paginates results

• Extracts structured job data

• Stops when the max\_items limit is reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

***

### ⚙️ Input Configuration

#### 📥 Input Example

```
{
  "job_function": "Software & Data",
  "location": "Nairobi",
  "experience_level": "Mid level",
  "max_items": 50
}
```

#### Input Fields

| Field              | Type   | Description               |
| ------------------ | ------ | ------------------------- |
| `job_function`     | string | Job category/function     |
| `location`         | string | Job location              |
| `experience_level` | string | Required experience level |
| `max_items`        | number | Maximum jobs to retrieve  |

***

### 📤 Output Example

```
{
  "caseId": "664756ab-a903-4a25-a2b6-d8e0275d34db",
  "address": "Nymarks Allé 247, 8320 Mårslet",
  "propertyType": "Rækkehus",
  "energyLabel": "A",
  "badge": "Nyhed",
  "price": "3.795.000kr.",
  "pricePerM2": "28.321kr.",
  "area": "134m²",
  "rooms": "5",
  "monthlyCost": "2.614kr./md.",
  "constructionYear": "2019",
  "lotSize": "173m²",
  "timeOnMarket": "2 days",
  "agentName": "home Malling-Beder",
  "imageUrl": "https://example.com/image.webp",
  "listingUrl": "https://www.boligsiden.dk/adresse/example",
  "agentUrl": "https://www.boligsiden.dk/agent/example",
  "agentLogoUrl": "https://example.com/logo.gif"
}
```

***

### 📊 Output explanation

| Use Case                  | Description                              |
| ------------------------- | ---------------------------------------- |
| 💼 Job Aggregation        | Build job boards and listing platforms   |
| 📊 Labor Market Analysis  | Analyze hiring trends in Kenya           |
| 🎯 Recruitment & Staffing | Identify and track job opportunities     |
| 🤖 AI / NLP Datasets      | Train models on structured job data      |
| 📈 Data Analytics         | Create insights from employment datasets |

***

### 🌍 Why Use This Scraper?

🚀 Extract Boligsiden listings at scale

⚡ Fully automated pagination

📊 Structured and analysis-ready data

🏠 Real estate-specific attributes

📈 Ideal for investors, analysts & researchers

***

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by BrighterMonday.

***

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $9.99 / 1000 results

***

### Related Actors

If you're interested in other Jobs scraping solutions, explore more tools:

(Coming soon)

***

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

***

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

## `job_function` (type: `string`):

Select the job function/category to search for

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

Select the location to search in

## `experience_level` (type: `string`):

Select the experience level required

## `max_items` (type: `integer`):

Limits how many job listings will be scraped from BrighterMonday Kenya.

## Actor input object example

```json
{
  "job_function": "Any Job Functions",
  "location": "Any Locations",
  "experience_level": "Any Experience Levels",
  "max_items": 60
}
```

# 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 = {
    "job_function": "Any Job Functions",
    "location": "Any Locations",
    "experience_level": "Any Experience Levels",
    "max_items": 60
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/brightermonday-jobs-scraper-low-cost").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 = {
    "job_function": "Any Job Functions",
    "location": "Any Locations",
    "experience_level": "Any Experience Levels",
    "max_items": 60,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/brightermonday-jobs-scraper-low-cost").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 '{
  "job_function": "Any Job Functions",
  "location": "Any Locations",
  "experience_level": "Any Experience Levels",
  "max_items": 60
}' |
apify call delectable_incubator/brightermonday-jobs-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/brightermonday-jobs-scraper-low-cost"
        }
    }
}

```

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/vudCInPwMkx3YerRs/builds/51sX4lLcblulufLjO/openapi.json