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Kardow’s AI-powered CSV import reads your column headers and sample data to automatically map every column to the correct job field. No manual mapping required — your column names can be anything.

Download CSV Template

Download our pre-built template to get started quickly.

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Supported Fields

The importer can recognise and map the following job fields. Your CSV columns don’t need to match these names exactly — AI figures it out from context.
FieldDescriptionRequired
titleJob title / position nameYes
company_nameEmployer / company nameYes
descriptionFull job description (HTML and plain text supported)No
locationCity, region, or addressNo
job_typefull-time, part-time, contract, internship, temporary, casualNo
salary_minMinimum salary (number)No
salary_maxMaximum salary (number)No
salary_currencyISO currency code, e.g. USD, EUR, GBP, CADNo
salary_periodhourly, daily, weekly, monthly, yearlyNo
is_remoteRemote flag — true/false, yes/no, 1/0No
how_to_applyApplication URL, email address, or phone numberNo
company_websiteEmployer website URLNo
company_logo_urlURL to the company logo imageNo
contact_emailRecruiter or contact emailNo
meta_titleSEO page titleNo
meta_descriptionSEO meta descriptionNo
created_atPublication date (any readable date format)No
expires_atExpiry date (any readable date format)No
statusdraft or activeNo
is_highlightedFeatured/highlighted flagNo
is_stickySticky/pinned flagNo
Every row must have a non-empty title and company_name (or their equivalents). Rows missing either field are skipped automatically.

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Example CSV

title,description,company_name,location,job_type,salary_period,salary_min,salary_max,salary_currency,is_remote,how_to_apply,created_at,expires_at
"Senior Software Engineer","We are looking for a senior software engineer with 5+ years of experience in React and Node.js.","Acme Corp","Remote","full-time","yearly",80000,120000,"USD",true,"https://acme.com/apply","2025-01-01","2025-03-31"
"Marketing Manager","Lead our marketing team and drive growth initiatives.","Acme Corp","New York, NY","full-time","yearly",70000,90000,"USD",false,"jobs@acme.com","2025-01-05","2025-04-05"

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Column names don’t have to match

Because AI maps your columns intelligently, these all work as the job title column:
  • title, position, role, job title, opening, vacancy
And these all work as the apply URL / email:
  • how_to_apply, apply_url, apply link, application url, apply here

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How to Import

1

Open the Import dialog

  1. Log in to your Kardow dashboard
  2. Navigate to the Jobs section
  3. Click the Add Jobs dropdown and choose Import CSV
2

Upload your file

Drag and drop your .csv or .txt file onto the upload zone, or click Choose file to browse. Files up to 1 MB (~5,000 rows) are supported.
3

Set default expiry days (optional)

If your CSV does not include an expires_at column, all imported jobs will expire after the number of days you set here (default: 30 days).
4

Click Import Jobs

That’s it. AI reads your headers and the first few rows, maps every column, and bulk-imports all valid jobs. You’ll see a success message with the number of jobs imported and any rows that were skipped.
5

Review imported jobs

Your new jobs appear in the Jobs list immediately. If your organisation requires approval, they will have Pending status and can be published from the dashboard.

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Troubleshooting

ProblemFix
”No valid jobs found”Every row needs at least a title and a company name. Check that those columns have values.
Some rows skippedRows where title or company name is blank are skipped automatically.
Wrong job type importedMake sure values are one of: full-time, part-time, contract, internship, temporary, casual. Other values default to full-time.
Dates look wrongAny standard date format works (2025-03-31, March 31 2025, 31/03/2025). Ensure dates are not stored as numbers in Excel — export as CSV first.
File too largeSplit your CSV into chunks under 1 MB, or contact support for a bulk migration.
Need help? Contact our support team for assistance with your CSV import.