metadata
license: apache-2.0
🧠 data_jobs Dataset
A dataset of real-world data analytics job postings from 2023, collected and processed by Luke Barousse.
Background
I've been collecting data on data job postings since 2022. I've been using a bot to scrape the data from Google, which come from a variety of sources.
You can find the full dataset at my app datanerd.tech.
Serpapi has kindly supported my work by providing me access to their API. Tell them I sent you and get 20% off paid plans.
📘 Data Dictionary
| Column Name | Description | Type | Source |
|---|---|---|---|
job_title_short |
Cleaned/standardized job title using BERT model (10-class classification) | Calculated | From job_title |
job_title |
Full original job title as scraped | Raw | Scraped |
job_location |
Location string shown in job posting | Raw | Scraped |
job_via |
Platform the job was posted on (e.g., LinkedIn, Jobijoba) | Raw | Scraped |
job_schedule_type |
Type of schedule (Full-time, Part-time, Contractor, etc.) | Raw | Scraped |
job_work_from_home |
Whether the job is remote (true/false) |
Boolean | Parsed |
search_location |
Location used by the bot to generate search queries | Generated | Bot logic |
job_posted_date |
Date and time when job was posted | Raw | Scraped |
job_no_degree_mention |
Whether the posting explicitly mentions no degree is required | Boolean | Parsed |
job_health_insurance |
Whether the job mentions health insurance | Boolean | Parsed |
job_country |
Country extracted from job location | Calculated | Parsed |
salary_rate |
Indicates if salary is annual or hourly | Raw | Scraped |
salary_year_avg |
Average yearly salary (calculated from salary ranges when available) | Calculated | Derived |
salary_hour_avg |
Average hourly salary (same logic as yearly) | Calculated | Derived |
company_name |
Company name listed in job posting | Raw | Scraped |
job_skills |
List of relevant skills extracted from job posting using PySpark | Parsed List | NLP Extracted |
job_type_skills |
Dictionary mapping skill types (e.g., 'cloud', 'libraries') to skill sets | Parsed Dict | NLP Extracted |