Import a CSV

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.

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.

Field	Description	Required
`title`	Job title / position name	Yes
`company_name`	Employer / company name	Yes
`description`	Full job description (HTML and plain text supported)	No
`location`	City, region, or address	No
`job_type`	`full-time`, `part-time`, `contract`, `internship`, `temporary`, `casual`	No
`salary_min`	Minimum salary (number)	No
`salary_max`	Maximum salary (number)	No
`salary_currency`	ISO currency code, e.g. `USD`, `EUR`, `GBP`, `CAD`	No
`salary_period`	`hourly`, `daily`, `weekly`, `monthly`, `yearly`	No
`is_remote`	Remote flag — `true`/`false`, `yes`/`no`, `1`/`0`	No
`how_to_apply`	Application URL, email address, or phone number	No
`company_website`	Employer website URL	No
`company_logo_url`	URL to the company logo image	No
`contact_email`	Recruiter or contact email	No
`meta_title`	SEO page title	No
`meta_description`	SEO meta description	No
`created_at`	Publication date (any readable date format)	No
`expires_at`	Expiry date (any readable date format)	No
`status`	`draft` or `active`	No
`is_highlighted`	Featured/highlighted flag	No
`is_sticky`	Sticky/pinned flag	No

Every row must have a non-empty title and company_name (or their equivalents). Rows missing either field are skipped automatically.

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"

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

How to Import

Open the Import dialog

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

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.

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).

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.

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.

Troubleshooting

Problem	Fix
”No valid jobs found”	Every row needs at least a title and a company name. Check that those columns have values.
Some rows skipped	Rows where title or company name is blank are skipped automatically.
Wrong job type imported	Make sure values are one of: `full-time`, `part-time`, `contract`, `internship`, `temporary`, `casual`. Other values default to `full-time`.
Dates look wrong	Any 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 large	Split 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.

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Download CSV Template

Supported Fields

Example CSV

Column names don’t have to match

How to Import

Troubleshooting

Download CSV Template

​Supported Fields

​Example CSV

​Column names don’t have to match

​How to Import

​Troubleshooting

Supported Fields

Example CSV

Column names don’t have to match

How to Import

Troubleshooting