This project collects structured employment listings from across the Canary Islands, providing a unified view of available job opportunities. It helps analysts, recruiters, and job platforms track Canarias employment data efficiently and consistently.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project gathers and structures job offers published for the Canary Islands, transforming dispersed listings into clean, usable data. It solves the challenge of fragmented employment information by centralizing offers in a single, analyzable format. It is designed for developers, researchers, job portals, and labor market analysts.
- Covers job opportunities across all Canary Islands regions
- Structures raw listings into consistent, machine-readable records
- Supports large-scale data analysis and reporting
- Designed for repeatable and reliable data collection workflows
| Feature | Description |
|---|---|
| Island-wide coverage | Collects job offers from all Canary Islands locations. |
| Structured output | Normalizes employment data into consistent fields. |
| Scalable collection | Handles small and large volumes of listings efficiently. |
| Automation-ready | Fits easily into data pipelines and analytics workflows. |
| Field Name | Field Description |
|---|---|
| job_title | Title of the job offer. |
| company_name | Name of the hiring organization. |
| location | Island or municipality where the job is based. |
| contract_type | Type of contract (full-time, part-time, temporary, etc.). |
| publication_date | Date when the offer was published. |
| description | Full textual description of the position. |
| reference_id | Internal or public reference for the listing. |
| source_url | Original URL of the job offer. |
(SCE) Servicio Canario de Empleo - Canarias 🌴/
├── src/
│ ├── main.py
│ ├── collectors/
│ │ ├── listings_collector.py
│ │ └── pagination_handler.py
│ ├── parsers/
│ │ └── job_parser.py
│ ├── utils/
│ │ └── text_cleaner.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── samples/
│ │ └── jobs.sample.json
│ └── outputs/
├── requirements.txt
└── README.md
- Job platforms use it to aggregate Canarias job listings, so they can offer comprehensive search experiences.
- Labor market analysts use it to study employment trends, so they can generate accurate reports.
- Recruitment agencies use it to monitor new offers, so they can respond faster to opportunities.
- Researchers use it to build datasets, so they can analyze regional employment dynamics.
Is this project limited to a single island? No, it is designed to cover job offers from all Canary Islands, including multiple municipalities and regions.
Can the data be integrated into existing systems? Yes, the structured output makes it easy to integrate into databases, dashboards, or analytics tools.
How often can data be collected? Collection frequency depends on deployment, but the project supports regular and repeatable runs.
Does it support long job descriptions? Yes, full job descriptions are captured and preserved for detailed analysis.
Primary Metric: Processes hundreds of job listings per run with consistent field extraction.
Reliability Metric: Maintains a high success rate across repeated collection cycles with stable results.
Efficiency Metric: Optimized data handling minimizes redundant processing and resource usage.
Quality Metric: High data completeness with accurate titles, locations, and publication dates across listings.
