Upwork Jobs Dataset – Freelance Job Listings CSV
upwork.com · CSV
Looking for a clean Upwork jobs dataset? The Upwork Freelance Jobs Dataset offers 300 verified job listings from the freelancing platform Upwork. It includes rich metadata such as job titles, posting dates, descriptions, required skills, client location, employment type, project duration, pricing (fixed or hourly), and more — perfect for freelance market analysis, job-market research, data science projects, or trend analysis across remote job postings.
Key Features- Comprehensive Job Metadata: Each entry contains url, title, posted_at, description, employment_type, skills, client_location, hrs_per_week, project_duration, fixed_price, experience, job_type, project_type, total_jobs_posted_by_client, total_spent_by_client, uniq_id, and scraped_at.
Crawl Feeds - CSV Format: Ready to Use: Data is delivered in a straightforward CSV file, no need for scraping or cleaning.
- Verified Data Snapshot: 300 records captured as of the latest crawl (11 Jan 2021) — good for baseline analytics or historic analysis of Upwork job trends.
- Instant Access & Free: Price is USD $0.0 for this dataset — accessible to analysts, researchers or freelancers looking to explore or use job-market data without cost.
- Freelance Market Research: Analyze remote job demand, skill requirements, and pricing trends across Upwork listings.
- Data Science & Trend Analysis: Build models or dashboards to track shifts in job type, popular skills, client geographic distribution, and contract types over time.
- Client Prospecting & Lead Generation: Identify clients, frequent posters or high-spend clients based on total_jobs_posted_by_client and total_spent_by_client.
- Academic or Economic Research: Study gig-economy dynamics, remote work trends, skill demand distribution, or labour-market shifts globally.
- Researchers & Analysts exploring remote job markets, gig economy trends, or skill-demand dynamics.
- Freelancers & Agencies looking to study job posting patterns, niches in demand, or potential clients.
- Data Scientists / ML Engineers building datasets for job-market modelling, demand forecasting, or skill-trend analysis.
- Students & Educators needing real-world job-listing datasets for academic projects, economic studies, or teaching data analysis.
- Time-saving: Avoid writing scrapers, managing IPs or dealing with anti-scraping blocks.
- Verified & Clean Data: Dataset entries are pre-scraped and formatted, reducing manual data cleaning efforts.
- Free & Instant Access: No cost barrier for experimentation or analysis.
- Snapshot for Analysis: Provides a stable dataset snapshot that can be compared with newer datasets to observe market evolution.
Fields
url, title, posted_at, description, employment_type, skills, client_location, hrs_per_week, project_duration, fixed_price, experience, job_type, project_type, total_jobs_posted_by_client, total_spent_by_client, uniq_id, scraped_at