Pricing

Pay per event

Africa Jobs Scraper - Jobberman, BrighterMonday, Careers24

Scrape job listings from four leading African job boards — Jobberman (Nigeria), BrighterMonday (Kenya), Careers24 (South Africa), and MyJobMag — in a single run. Returns title, company, location, salary, description, experience level, and apply URL as clean structured JSON.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Jobs

Lead generation

Business

You can access the Africa Jobs Scraper - Jobberman, BrighterMonday, Careers24 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "sp_intended_usage": "Describe your intended use...",
10    "sp_improvement_suggestions": "Share your suggestions here...",
11    "sp_contact": "Share your email here...",
12    "platforms": [
13        "jobberman",
14        "brightermonday",
15        "careers24",
16    ],
17    "maxItems": 15,
18    "proxyConfiguration": {
19        "useApifyProxy": True,
20        "apifyProxyGroups": ["RESIDENTIAL"],
21    },
22}
23
24# Run the Actor and wait for it to finish
25run = client.actor("jungle_synthesizer/africa-jobs-aggregator-scraper").call(run_input=run_input)
26
27# Fetch and print Actor results from the run's dataset (if there are any)
28print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
29for item in client.dataset(run["defaultDatasetId"]).iterate_items():
30    print(item)
31
32# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Africa Jobs Scraper — Jobberman BrighterMonday Careers24 API in Python

The Apify API client for Python is the official library that allows you to use Africa Jobs Scraper - Jobberman, BrighterMonday, Careers24 API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Africa Jobs Scraper - Jobberman, BrighterMonday, Careers24 API in JavaScript

Africa Jobs Scraper - Jobberman, BrighterMonday, Careers24 API through CLI

Africa Jobs Scraper - Jobberman, BrighterMonday, Careers24 OpenAPI definition

Africa Jobs Scraper - Jobberman, BrighterMonday, Careers24 API

BrighterMonday Kenya Jobs Scraper 🇰🇪💼🌟- Cheap

scrapestorm/brightermonday-kenya-jobs-scraper---cheap

Easily collect job listings from BrighterMonday Kenya one of the leading job platforms in East Africa Extract structured job data including job titles, company, locations, job types, salary information, job categories, posted dates, & more All delivered in structured, analysis-ready format 💼🇰🇪✨

Storm_Scraper

Jobberman.com Scraper

unfenced-group/jobberman-com-scraper

Extract job listings from Jobberman.com — Nigeria’s leading job board. Filter by location, category & type. Full descriptions, salary & deadline included.

Unfenced Group

Jobberman Scraper - Nigeria Job Listings

blackfalcondata/jobberman-scraper

Scrape jobberman.com - Nigeria’s leading job board. Salary metadata, experience filters, and incremental change monitoring for new and updated listings. Compact output for AI agents and MCP workflows.

Black Falcon Data

Jobberman Job Scraper – Cheap 🔍💼

scrapestorm/jobberman-job-scraper---cheap

🔍 Easily extract Jobberman job listings Collect structured job data from Jobberman, including job titles, companies, locations, salaries, categories, experience levels, posting dates, and job URLs 💼📊 Ideal for recruitment analytics, market research, career intelligence, and HR insights 🌍🧠

Storm_Scraper

Google Careers Scraper

scrapeai/google-careers-scraper

Google Careers Scraper extracts job listings from the Google Careers website. It collects details such as job title, location, department, job ID, description, and application links. Ideal for job market analysis, recruitment research, and building job databases from Google Careers pages.

ScrapeAI

5.0

Property24 Scraper — South Africa & Kenya

jungle_synthesizer/africa-property24-scraper

Extract property listings from Property24 ZA and KE: price, bedrooms, agent name, EAAB registration, images, and 20+ fields per listing. Covers all 9 South African provinces and Kenya nationwide.

BowTiedRaccoon

Property24 Scraper | South Africa

fatihtahta/property24-scraper-za

Extract structured Real estate listings across South Africa from Property24.com with property details, agent profiles, full descriptions, media and more. Built for enterprise-grade real estate intelligence, lead enrichment, market analysis, and automated data pipelines.

Fatih Tahta

Jobberman Job Scraper

shahidirfan/Jobberman-Job-Scraper

Extract job listings effortlessly with the Jobberman Job Scraper. This lightweight actor is optimized for speed and accuracy on Jobberman sites. To prevent blocking and ensure high-quality results, using residential proxies is strongly recommended. Streamline your recruitment data collection today!

Shahid Irfan

5.0

Property24 South Africa Scraper

dhrumil/property24-south-africa-scraper

Effortlessly extract real estate data from Property24, South Africa's leading property portal. This powerful scraper collects comprehensive property details including prices, locations, descriptions, property types, images, agent contact info, and more.

Dhrumil Bhankhar

5.0

Careers24 Jobs Scraper

shahidirfan/Careers24-Jobs-Scraper

Instantly harvest job listings from South Africa's premier recruitment platform. This high-speed actor delivers comprehensive data outputs with exceptional stability and zero configuration. Ideal for aggregators and analysts seeking real-time market insights.

Shahid Irfan