Upwork Jobs Dataset: 3.5 Million+ Job Posts for Market Research & Analysis

Whether you're building a freelance tool, validating a SaaS idea, or analyzing hiring trends, having access to real job market data is essential. UpHunt's Upwork Jobs Dataset gives you 3.5 million+ cleaned, deduplicated public job postings spanning over two years — ready to query in MongoDB.

In this post, we'll walk through what's in the dataset, who it's for, and how you can use it to make data-driven decisions.

What's in the Dataset?

Every record in the dataset represents a single public Upwork job posting. Each job includes 14 structured fields:

| Field | Description | |-------|-------------| | job_id | Unique identifier for the job | | title | Job title as posted by the client | | description | Full job description text | | category | Upwork job category | | skills[] | Array of required skills | | budget/hourly | Hourly rate range (if applicable) | | fixed_price | Fixed-price budget (if applicable) | | posted_at | Timestamp when the job was posted | | client_country | Client's country | | client_spend | Total amount the client has spent on Upwork | | jobs_posted | Number of jobs the client has posted | | hires | Number of freelancers the client has hired | | proposals | Number of proposals submitted to the job | | url | Direct link to the original posting |

The data is cleaned, UTF-8 encoded, and deduplicated using a hash of title, description, date, and client information. All personally identifiable information (PII) has been removed.

Who Is This Dataset For?

Researchers & Academics

If you're studying the gig economy, remote work trends, or labor market dynamics, this dataset provides a large-scale, real-world sample of freelance job postings. You can analyze how demand for specific skills has shifted over time, how budgets vary across regions, or how client behavior correlates with hiring outcomes.

SaaS Founders & Product Builders

Validating a product idea in the freelance space? Instead of guessing, you can query the dataset to answer questions like:

• How many jobs mention "AI" or "machine learning" per month? Track demand growth for emerging skills.
• What's the average budget for web development projects? Understand pricing benchmarks.
• Which client countries post the most jobs? Identify your target market.

Agencies & Freelance Teams

Understanding where the work is — and where it's headed — helps agencies decide which services to offer and which markets to target. The dataset lets you see:

• Which skill combinations appear most frequently
• What budget ranges dominate specific categories
• How competitive different niches are (based on proposal counts)

Data Scientists & ML Engineers

The dataset is a rich source for building models around:

• Job categorization and skill extraction
• Budget prediction based on job descriptions
• Client quality scoring based on spending history
• Trend forecasting for freelance demand

How to Use the Dataset: Practical Examples

Example 1: Track the Rise of AI Jobs on Upwork

Want to see how AI-related freelance work has grown? Query jobs where the title or skills include "AI", "machine learning", "GPT", or "LLM", then group by month:

db.jobs.aggregate([
  {
    $match: {
      $or: [
        { title: { $regex: /\b(AI|artificial intelligence|machine learning|GPT|LLM)\b/i } },
        { skills: { $in: [/AI/i, /machine learning/i] } }
      ]
    }
  },
  {
    $group: {
      _id: { $dateToString: { format: "%Y-%m", date: "$posted_at" } },
      count: { $sum: 1 },
      avg_budget: { $avg: "$fixed_price" }
    }
  },
  { $sort: { _id: 1 } }
])

Example 2: Find the Highest-Paying Skill Categories

Identify which skills command the highest budgets:

db.jobs.aggregate([
  { $unwind: "$skills" },
  {
    $group: {
      _id: "$skills",
      avg_fixed_price: { $avg: "$fixed_price" },
      job_count: { $sum: 1 }
    }
  },
  { $match: { job_count: { $gte: 100 } } },
  { $sort: { avg_fixed_price: -1 } },
  { $limit: 20 }
])

Example 3: Analyze Market Competition by Niche

How many proposals does the average job in your niche receive? Lower proposal counts mean less competition:

db.jobs.aggregate([
  { $match: { category: "Web Development" } },
  {
    $group: {
      _id: null,
      avg_proposals: { $avg: "$proposals" },
      median_budget: { $avg: "$fixed_price" },
      total_jobs: { $sum: 1 }
    }
  }
])

Example 4: Client Spending Patterns by Country

Discover which countries have the highest-spending clients:

db.jobs.aggregate([
  { $match: { client_spend: { $gt: 0 } } },
  {
    $group: {
      _id: "$client_country",
      avg_client_spend: { $avg: "$client_spend" },
      total_jobs: { $sum: 1 }
    }
  },
  { $match: { total_jobs: { $gte: 50 } } },
  { $sort: { avg_client_spend: -1 } },
  { $limit: 15 }
])

Data Quality & Compliance

Data quality matters, especially at scale. Here's what we've done to ensure the dataset is reliable:

• Deduplication: Each job is hashed using title + description + date + client info. Duplicate entries are removed.
• PII Removal: No personal client names, emails, or contact details are included.
• UTF-8 Encoding: All text fields are properly encoded — no broken characters or encoding artifacts.
• GDPR & CCPA Compliant: The dataset contains only publicly available job posting data.

We are not affiliated with Upwork. This dataset is compiled independently from publicly accessible information.

Format & Delivery

The dataset is delivered as a MongoDB database. After purchase, you'll receive:

• MongoDB connection string and credentials
• Read-only access to the full dataset
• Documentation on the schema and field types

MongoDB makes it easy to run aggregation queries, build pipelines, and export to other formats (CSV, JSON, Parquet) using tools like mongoexport or your preferred data pipeline.

Delivery happens within 24 hours of purchase.

Pricing

The full dataset is available as a one-time purchase for $299. No subscriptions, no recurring fees.

We also offer a free sample dataset so you can verify the data quality and schema before buying. Download the sample here.

Frequently Asked Questions

How often is the dataset updated? The dataset is a point-in-time snapshot. We may offer optional delta updates as a separate purchase in the future.

Can I use the data for commercial purposes? Yes. The license allows research and internal commercial use. Resale or redistribution of the raw data is not permitted.

What if I need a custom extract? Contact us at info@uphunt.io — we can discuss custom date ranges, skill filters, or specific fields.

Can I export to CSV or JSON? Absolutely. MongoDB's mongoexport tool lets you export any collection or query result to CSV or JSON with a single command.

Get Started

If you're making decisions about the freelance market, stop guessing and start querying. With 3.5 million+ real job postings, the dataset gives you the evidence you need.

View the dataset and download a free sample →