Upwork
Upwork holds the contracts you sign with freelancers, the time reports logged against hourly contracts, earnings and payments, and the job postings that started each engagement. For companies using freelancers as a flexible bench, that spend is often scattered. In a Lake, it can be joined with project trackers and the general ledger to compare freelancer cost and output with staff.
- Category
- HR & People
- Type
- Freelance marketplace
- Interface
- GraphQL API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
- Docs
- Upwork API docs
02Data
What you can sync.
- Contracts
- Time reports
- Earnings
- Job postings
- Freelancers
Bring Upwork contracts into the Warehouse with column and row rules in the database, so people data stays with the people allowed to see it.
Need more? Name any other Upwork data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
Upwork uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Upwork if you need help.
04Questions
Questions you can answer.
Once Upwork data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How much did each team spend on Upwork contracts last quarter, and on which skills?
- What effective hourly rate are we paying per freelancer once fixed-price milestones are included?
- How many hours are freelancers logging per week on each active contract?
- Which job postings led to contracts that were renewed or extended?
05How it works
How it works in DataMind.
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Pick Upwork.
Open Lake, pick Upwork in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Upwork API docs.
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Answer a few questions.
The AI reads the Upwork documentation, then asks which credentials you will use, which data to sync (for example contracts and time reports), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Upwork data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Upwork.
Sources teams join with Upwork in the Warehouse, each one connected the same way.
