This dataset provides a collection of job postings from Glints Indonesia, developed for the Analitik Big Data course to scrape job data from sites.

Methodology

The data acquisition utilized a hybrid scraping approach:

API Reverse Engineering: Request headers and GraphQL query structures were reverse-engineered to fetch structured data from unofficial endpoints.
Parsing: BeautifulSoup4 was used to extract metadata from HTML fields not fully serialized in the API.
Environment: Developed using Python 3.12 within a dedicated virtual environment.

Note: This dataset contains multiple duplicate data as the jobs may fall into multiple job categories.

Dataset Structure

The dataset consists of the following attributes:

Attribute Name	Description	Example Value
`job_title`	The specific title or position of the job.	Data Analyst, Backend Engineer
`company_name`	The name of the hiring organization.	PT Tokopedia, Gojek
`location`	The city or work location.	Jakarta, Surabaya, Remote
`job_type`	The type of employment contract.	Full-time, Part-time, Internship
`experience_level`	The required level of professional experience.	Fresh Graduate, 2-3 tahun
`education_req`	Minimum educational background required.	S1 Informatika, D3 semua jurusan
`salary_range`	Reported compensation range (if available).	Rp 8.000.000 – Rp 12.000.000
`job_requirements`	List of required technical and soft skills.	Python, SQL, komunikasi baik
`job_responsibilities`	Core tasks and responsibilities of the role.	Menganalisis data penjualan, ...
`posted_date`	The date the vacancy was originally posted.	2024-11-15
`source_platform`	The platform from which the data was scraped.	Glints
`category_scraped`	Broad job category or department.	IT, Admin HR

Use Cases

Classification: Using job_description or job_requirements to predict kategori.
Salary Analysis: Investigating how experience_level and location impact salary_range.
Named Entity Recognition (NER): Extracting specific skills or tools from requirement texts.

Disclaimer: This project is for educational purposes only. Users should respect the target platform's Terms of Service regarding data usage.

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