ZipRecruiter
ZipRecruiter's partner APIs cover the jobs you post, the applications and candidates they bring in, and the campaigns that put budget behind postings. US employers with steady hourly hiring rely on it for volume. A Lake that holds campaigns next to ATS outcomes answers the question ZipRecruiter dashboards cannot: which spend turned into hires who showed up and stayed.
- Category
- HR & People
- Type
- Job boards & distribution
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
02Data
What you can sync.
- Jobs
- Applications
- Candidates
- Campaigns
Bring ZipRecruiter jobs 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 ZipRecruiter data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
ZipRecruiter uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in ZipRecruiter if you need help.
04Questions
Questions you can answer.
Once ZipRecruiter data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- What is cost per application and cost per hire for each ZipRecruiter campaign?
- Which job titles get plenty of applications but few hires?
- How many ZipRecruiter candidates reach an interview within a week of applying?
- Do campaigns with higher budgets fill roles faster in the same city?
05How it works
How it works in DataMind.
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Pick ZipRecruiter.
Open Lake, pick ZipRecruiter in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the ZipRecruiter API docs.
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Answer a few questions.
The AI reads the ZipRecruiter documentation, then asks which credentials you will use, which data to sync (for example jobs and applications), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then ZipRecruiter data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with ZipRecruiter.
Sources teams join with ZipRecruiter in the Warehouse, each one connected the same way.
07Related
