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TeamioAd hoc export of candidatesExport of candidates data

Export of candidates data

There are two ways to export candidate data from Teamio.

Manual Export

For those who do not work intensively with candidates in your Teamio talent pools, it may make sense to copy and download CVs only for chosen candidates. This can be done easily directly in Teamio. Simply go to the Cards of your chosen candidates and download any attached documents, then copy any available data, including contacts, internal notes, and communication history. Please remember to copy the last Consent submitted by each candidate—it is located in each candidate’s activity history.

Manual export makes sense when you want to export only a few dozen candidates, up to 2 000.

Automatic export

If you need to export hundreds of CVs and other candidate data, follow these steps.

Please note that only candidates with valid consent can be exported.

Example data for testing

First, have a technical person who will be responsible for importing the data into your new recruitment application review the sample exported files below.


The zipped folder contains:

  • Folder “att” with all CVs and other documents that candidates attached while applying for positions. Each binary file has a unique id that is linked to unique candidate.
  • File “candidates_attachments.csv” enables you to connect the candidates with their CVs and other documents they attached.
  • File “candidates_data.csv” gives identification of candidates together with their unique ID (names, surnames, e-mails, phone numbers and internal notes).
  • File “candidates_history.csv”.
The “.csv” files are encoded in UTF-8. They can be easily opened in OpenOffice or LibreOffice. Before opening in Excel, the character set should be changed to Windows-1250.

Secure data transfer

Final zipped folder with the data will be encrypted using 7-ZIP. Download the file archiver 

Password for opening the folder will be shared via SMS. Data can be shared via GoogleDrive, OneDrive, Dropbox or any other similar online service for data sharing.

The recommended method for sharing the data requires the client to prepare an SFTP server (or alternatively, SCP or FTPS).

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