# Jobberman Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ’Ό (`delectable_incubator/jobberman-scraper-low-cost`) Actor πŸ” Extract Jobberman job listings with ease. This Jobberman Scraper collects job titles, company names, locations, salaries, categories, experience levels, employment types, posting dates, job descriptions & job URLs. Ideal for recruitment analytics, talent intelligence & hiring trend analysis πŸ’ΌπŸ§  - **URL**: https://apify.com/delectable\_incubator/jobberman-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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

Jobberman Jobs Scraper

--- ## πŸŒπŸ’Ό Jobberman Jobs Scraper πŸ‡³πŸ‡¬ | Bulk Job Scraper Nigeria | Apify Actor ### πŸš€ Extract Jobberman Jobs Data in Seconds (No Code) The **Jobberman Jobs Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized job scraping tool for Nigeria job market data extraction**. It allows you to **scrape Jobberman job listings in bulk**, extract structured hiring data, and export it for **recruitment, HR analytics, job aggregation, AI datasets, lead generation, and labor market intelligence**. --- ### πŸ”₯ Why This Jobberman Scraper? βœ” Best Jobberman scraper on Apify βœ” Supports **bulk URL scraping (multi-search mode)** βœ” Fast & scalable job data extraction βœ” 100% structured JSON / CSV / Excel output βœ” Ideal for **Nigeria job market intelligence** βœ” Perfect for recruiters, startups, staffing agencies & analysts βœ” No coding required --- ### 🎯 What This Scraper Does (Jobberman Job Data Extraction) This Apify Actor extracts **real-time job listings from Jobberman search result pages**. #### πŸ“Œ Core Features: βœ… Scrape Jobberman job listings βœ… Bulk URL job scraping (SEO BOOST πŸš€) βœ… Location-based job extraction βœ… Auto pagination handling βœ… Extract company name, job title, location & employment type βœ… Extract posting date and job URL βœ… Extract recruiter information βœ… Clean structured dataset output βœ… High-speed extraction engine --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK URL MODE (SEO BOOST πŸš€) ```` { "urls": \[ "https://www.jobberman.com/jobs", "https://www.jobberman.com/jobs?q=data+analyst", "https://www.jobberman.com/jobs?q=software+engineer", "https://www.jobberman.com/jobs?q=marketing+manager", "https://www.jobberman.com/jobs?q=sales+executive", "https://www.jobberman.com/jobs?q=accountant" ], "maxItems": 200 } ``` --- ### πŸ“Š Extracted Job Data (Structured Output) | Field | Description | |---------|-------------| | jobId | Unique job identifier | | jobTitle | Job title | | companyName | Hiring company | | location | Job location | | employmentType | Full-time / Part-time / Contract | | experience | Experience requirement | | postedDate | Job posting date | | recruiter | Recruiter information | | jobUrl | Direct job URL | | sourceUrl | Source search URL | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This Jobberman scraper is used for: πŸ’Ό Nigeria job scraping πŸ“Š Nigeria labor market analysis 🎯 Recruitment automation πŸ“ˆ HR analytics & hiring trends πŸ€– AI training datasets (job data) 🏒 Company hiring intelligence πŸ“‘ Job aggregation platforms ⚑ Bulk job data extraction 🌍 African employment market research --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk URL scraping support 🌍 Nigeria-wide job market coverage πŸ“Œ Smart pagination system 🧠 Clean structured output πŸ“Š High-speed scraping engine πŸ” Auto retry & stability system πŸ’Ύ Export-ready datasets βš™οΈ Scalable cloud execution (Apify Actor) --- ### πŸ“€ Output Formats Supported βœ” JSON (structured API ready) βœ” CSV (Excel analysis) βœ” Excel XLSX (business reports) βœ” XML (data pipelines) βœ” HTML (dashboards) --- ### πŸ“¦ Example Output ``` { "jobId": "JB123456", "jobTitle": "Data Analyst", "companyName": "Tech Solutions Ltd", "location": "Lagos", "employmentType": "Full Time", "experience": "2-4 Years", "postedDate": "2026-06-10", "recruiter": "Tech Solutions Ltd", "jobUrl": "https://www.jobberman.com/listings/data-analyst-xxxxx", "sourceUrl": "https://www.jobberman.com/jobs?q=data+analyst" } ```` --- ### πŸ”₯ Why This is the BEST Jobberman Scraper on Apify? βœ” Optimized for Apify search ranking βœ” High-performance job scraping engine βœ” Bulk URL support (rare feature) βœ” Clean structured dataset output βœ” Enterprise-ready scalability βœ” Perfect for SEO traffic & marketplace visibility --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** $0.98 / 1,000 results --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple Jobberman URLs at once? Yes β€” bulk URL mode is fully supported. #### Is this scraper fast? Yes β€” optimized for high-speed extraction. #### Can I use it for Nigeria job market analysis? Yes β€” fully focused on Jobberman hiring data and recruitment intelligence. #### Is coding required? No β€” 100% no-code Apify Actor. #### Can I export data? Yes β€” JSON, CSV, Excel, XML and HTML are supported. --- ### ⚠️ Disclaimer This tool is not affiliated with or endorsed by Jobberman. It is an independent data extraction solution. --- ### πŸ”— Related Actors (Job Scraping Ecosystem) We are building a full **PrimeScrape Job Intelligence Suite**: πŸ‘‰ Coming Soon πŸš€ --- ### 🌍 PrimeScrape Ecosystem Built for **data scraping, automation, AI training datasets, recruitment intelligence, and market research at scale**. πŸ“Š Job data extraction 🏒 Company intelligence πŸ“ˆ Market analytics πŸ€– AI datasets βš™οΈ Automation pipelines πŸš€ Lead generation --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you like this scraper πŸ“© Contact us for custom scraping solutions and enterprise requests **PrimeScrape** # Actor input Schema ## `job_function` (type: `string`): Select job function/category ## `location` (type: `string`): Select location ## `experience_level` (type: `string`): Select experience level ## `max_items` (type: `integer`): Maximum number of jobs to extract ## Actor input object example ```json { "job_function": "Engineering & Technology", "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": "Engineering & Technology", "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/jobberman-scraper-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": "Engineering & Technology", "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/jobberman-scraper-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": "Engineering & Technology", "location": "Any Locations", "experience_level": "Any Experience Levels", "max_items": 60 }' | apify call delectable_incubator/jobberman-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/jobberman-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Jobberman Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ’Ό", "description": "πŸ” Extract Jobberman job listings with ease. This Jobberman Scraper collects job titles, company names, locations, salaries, categories, experience levels, employment types, posting dates, job descriptions & job URLs. Ideal for recruitment analytics, talent intelligence & hiring trend analysis πŸ’ΌπŸ§ ", "version": "0.0", "x-build-id": "hEeDtKSJAcRHrnney" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~jobberman-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-jobberman-scraper-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~jobberman-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-jobberman-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~jobberman-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-jobberman-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "job_function": { "title": "Job Function", "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 job function/category", "default": "Engineering & Technology" }, "location": { "title": "Location", "enum": [ "Any Locations", "Abeokuta & Ogun State", "Abuja", "Lagos", "Port Harcourt & Rivers State", "Ibadan & Oyo State", "Enugu", "Imo", "Remote (Work From Home)", "Outside Nigeria", "Rest of Nigeria", "Abia", "Adamawa", "Akwa Ibom", "Anambra", "Bauchi", "Benue", "Cross River", "Delta", "Ebonyi", "Edo", "Ekiti", "Jigawa", "Kaduna", "Kano", "Katsina", "Kebbi", "Kogi", "Kwara", "Maiduguri & Borno State", "Nassarawa", "Nationwide", "Niger", "Ondo", "Osun", "Plateau", "Sokoto", "Taraba", "Zamfara" ], "type": "string", "description": "Select location", "default": "Any Locations" }, "experience_level": { "title": "Experience Level", "enum": [ "Any Experience Levels", "No Experience", "Internship & Graduate", "Entry level", "Mid level", "Senior level", "Executive level" ], "type": "string", "description": "Select experience level", "default": "Any Experience Levels" }, "max_items": { "title": "Maximum Jobs to Scrape", "type": "integer", "description": "Maximum number of jobs to extract", "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 } } } } } } } } } } ```