# BrighterMonday Jobs Scraper - Lavpris Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡°πŸ‡ͺ (`delectable_incubator/brightermonday-jobs-scraper---lavpris-low-cost`) Actor Scrape job listings from BrighterMonday Kenya πŸ’ΌπŸ‡°πŸ‡ͺ 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 πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/brightermonday-jobs-scraper---lavpris-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, NaN bookmarks - **User rating**: No ratings yet ## 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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

BrighterMonday Kenya Jobs Scraper

--- ### BrighterMonday Kenya Jobs Scraper πŸ‡°πŸ‡ͺπŸ’ΌπŸ” 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. βœ… Extracts structured job listings from BrighterMonday Kenya βœ… Supports job function, location, and experience filters βœ… Collects key job data (title, company, salary, etc.) βœ… Captures job metadata and detailed descriptions βœ… Handles pagination automatically βœ… Detects featured and β€œEasy Apply” jobs βœ… Stops at your defined max items limit βœ… Ideal for recruitment, analytics & HR workflows βœ… Ready for automation pipelines βœ… Clean and structured output format --- ### πŸ“Š Data Extracted πŸ’Ό Job Listing Information | Field | Description | | ---------------- | ---------------------- | | πŸ†” `jobId` | Unique job identifier | | πŸ“ `jobTitle` | Job title | | 🏒 `companyName` | Hiring company | | πŸ“ `location` | Job location | | πŸ’Ό `jobType` | Employment type | | πŸ’° `salary` | Salary or salary range | | πŸ—‚ `category` | Job category | | πŸ“… `postedDate` | Date posted | | ⚑ `hasEasyApply` | Easy Apply indicator | | πŸ”— `jobUrl` | Direct job link | πŸ“„ Detailed Job Information | Field | Description | | ----------------- | ----------------------- | | πŸ–ΌοΈ `companyLogo` | Company logo | | πŸ“ `description` | Full job description | | ⭐ `isFeatured` | Featured job indicator | | πŸ†• `isNew` | New job indicator | | ⚑ `hasEasyApply` | Easy Apply availability | --- ### πŸ›  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 β€’ Loads job listings based on your filters β€’ Automatically paginates results β€’ Extracts structured job data β€’ Stops when the max_items limit is reached 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ 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 | --- ### πŸ“€ Output Example ``` { "caseId": "664756ab-a903-4a25-a2b6-d8e0275d34db", "address": "Nymarks AllΓ© 247, 8320 MΓ₯rslet", "propertyType": "RΓ¦kkehus", "energyLabel": "A", "badge": "Nyhed", "price": "3.795.000kr.", "pricePerM2": "28.321kr.", "area": "134mΒ²", "rooms": "5", "monthlyCost": "2.614kr./md.", "constructionYear": "2019", "lotSize": "173mΒ²", "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" } ```` --- ### πŸ“Š Output explanation | Use Case | Description | | ------------------------- | ---------------------------------------- | | πŸ’Ό Job Aggregation | Build job boards and listing platforms | | πŸ“Š Labor Market Analysis | Analyze hiring trends in Kenya | | 🎯 Recruitment & Staffing | Identify and track job opportunities | | πŸ€– AI / NLP Datasets | Train models on structured job data | | πŸ“ˆ Data Analytics | Create insights from employment datasets | --- ### 🌍 Why Use This Scraper? πŸš€ Extract Boligsiden listings at scale ⚑ Fully automated pagination πŸ“Š Structured and analysis-ready data 🏠 Real estate-specific attributes πŸ“ˆ Ideal for investors, analysts & researchers --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by BrighterMonday. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $9.99 / 1000 results --- ### Related Actors If you're interested in other Jobs scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `job_function` (type: `string`): Select the job function/category to search for ## `location` (type: `string`): Select the location to search in ## `experience_level` (type: `string`): Select the experience level required ## `max_items` (type: `integer`): Limits how many job listings will be scraped from BrighterMonday Kenya. ## Actor input object example ```json { "job_function": "Any Job Functions", "location": "Any Locations", "experience_level": "Any Experience Levels", "max_items": 60 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "job_function": "Any Job Functions", "location": "Any Locations", "experience_level": "Any Experience Levels", "max_items": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/brightermonday-jobs-scraper---lavpris-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 '' with your token. client = ApifyClient("") # 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---lavpris-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ 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---lavpris-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/brightermonday-jobs-scraper---lavpris-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BrighterMonday Jobs Scraper - Lavpris Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡°πŸ‡ͺ", "description": "Scrape job listings from BrighterMonday Kenya πŸ’ΌπŸ‡°πŸ‡ͺ with a powerful job scraper. \n\nExtract 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 πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "51sX4lLcblulufLjO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~brightermonday-jobs-scraper---lavpris-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-brightermonday-jobs-scraper---lavpris-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~brightermonday-jobs-scraper---lavpris-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-brightermonday-jobs-scraper---lavpris-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~brightermonday-jobs-scraper---lavpris-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-brightermonday-jobs-scraper---lavpris-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "job_function", "location", "experience_level" ], "properties": { "job_function": { "title": "Job Function πŸ’Ό", "enum": [ "Any Job Functions", "Accounting, Auditing & Finance", "Admin & Office", "Creative & Design", "Building & Architecture", "Consulting & Strategy", "Customer Service & Support", "Engineering & Technology", "Farming & Agriculture", "Food Services & Catering", "Hospitality & Leisure", "Software & Data", "Legal Services", "Marketing & Communications", "Medical & Pharmaceutical", "Product & Project Management", "Estate Agents & Property Management", "Quality Control & Assurance", "Human Resources", "Management & Business Development", "Community & Social Services", "Sales", "Supply Chain & Procurement", "Research, Teaching & Training", "Trades & Services", "Driver & Transport Services", "Health & Safety" ], "type": "string", "description": "Select the job function/category to search for", "default": "Any Job Functions" }, "location": { "title": "Location πŸ“", "enum": [ "Any Locations", "Eldoret", "Kisumu", "Mombasa", "Nairobi", "Nakuru", "Thika", "Trans Nzoia", "Rest of Kenya", "Outside Kenya", "Remote (Work From Home)" ], "type": "string", "description": "Select the location to search in", "default": "Any Locations" }, "experience_level": { "title": "Experience Level πŸ“Š", "enum": [ "Any Experience Levels", "No Experience", "Internship & Graduate", "Entry level", "Mid level", "Senior level", "Executive level" ], "type": "string", "description": "Select the experience level required", "default": "Any Experience Levels" }, "max_items": { "title": "Maximum number of jobs to scrape πŸ”’", "type": "integer", "description": "Limits how many job listings will be scraped from BrighterMonday Kenya.", "default": 60 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```