Stop guessing what clients want. Use hard data to find the best niches, optimal rates, and most profitable client locations.
Yes — you can export Upwork job data into Excel or Google Sheets and find the niches, rates and client markets worth your time. Instead of guessing, you read the data: which budgets clear your floor, which countries pay, which niches are rising. The catch: the data shows the pattern, but turning it into a filter is the step that actually earns.
The export gives you the numbers. It does not bid, does not write, and does not turn a spreadsheet into a contract by itself.
Freelancers who export and analyze their job data stop guessing and start aiming. The ones who skip it keep applying to whatever the feed happens to show.
Yes — you can export Upwork job data into Excel or Google Sheets and find the niches, rates and client markets worth your time. Instead of guessing, you read the data: which budgets clear your floor, which countries pay, which niches are rising. The catch: the data shows the pattern, but turning it into a filter is the step that actually earns.
The export gives you the numbers. It does not bid, does not write, and does not turn a spreadsheet into a contract by itself.
Freelancers who export and analyze their job data stop guessing and start aiming. The ones who skip it keep applying to whatever the feed happens to show.
Upwork moves fast. By freezing the data in a spreadsheet, you can uncover patterns that are invisible in the live feed.
Calculate the average hourly rate for your niche. Are rates going up or down this month?
Pivot by 'Country'. You might find that 40% of your high-ticket leads come from Australia, not the US.
Analyze descriptions to find rising skills. If 'Next.js' appears in 60% of jobs, add it to your profile.
Heatmap the 'Published At' timestamps. Find the exact hour when the most jobs are posted.
FreelanceFilter makes this easy. Navigate to the Historical Data tab in your dashboard.
This gives you a raw dataset of every job that matched your criteria, including description text, client stats, and timestamps.
One of the most valuable insights is knowing the real market rate.
In Excel or Google Sheets, create a Pivot Table.
This chart will show you if your niche is becoming more valuable or commoditized over time. Use this to explain to potential clients why your rate is justified based on market data.
Stop filtering for just "United States" blindly. You might be missing goldmines.
Analyze the Client Total Spend column grouped by Client Country. You often find that clients in countries like Australia, Canada, or Switzerland have higher average spends and less competition than US clients.
Learn more about spotting these trends in our guide on Historical Analytics.
We provide data in standard CSV (Comma Separated Values) format. This is universally compatible with Microsoft Excel, Google Sheets, Apple Numbers, and data visualization tools like Tableau or PowerBI.
Our historical database retains job posts for 12 months. This allows for year-over-year seasonality analysis and long-term trend spotting.
Yes. Every job a monitor has ever found for you is kept in your job archive, and you can export from it. The plans are Scout, Signal and First Responder — Signal stores up to 30,000 jobs a month and First Responder up to 120,000, which is what bounds how much there is to export.
Upwork job posts are public, but client names are often hidden until you apply. Our export includes all publicly available fields: Client Location, Join Date, Total Spend, and Rating.