Import a CSV
This guide will walk you through the process of importing a CSV file into the Kardow system. The CSV file should contain job listings with various properties. Below, we will explain each property, the required fields, and provide step-by-step instructions for mapping the columns in the UI.
Download our pre-built template here: Download CSV Template
CSV File Structure
Your CSV file should have the following columns:
| Column Name | Description | Required |
|---|---|---|
title | The title of the job position | Yes |
description | A detailed description of the job responsibilities and requirements | No |
company_name | The name of the company offering the job | Yes |
location | The location of the job (e.g., Remote, New York) | Yes |
job_type | The type of job (e.g., full-time, part-time, contract) | No |
salary_period | The period for the salary (e.g., hourly, daily, weekly, monthly, yearly) | No |
salary_min | The minimum salary for the job | No |
salary_max | The maximum salary for the job | No |
salary_currency | The currency for the salary (e.g., USD, EUR) | No |
is_remote | Indicates if the job is remote (true/false) | No |
created_at | The date and time when the job was created | No |
expires_at | The expiration date for the job listing | No |
Example CSV Content
csv title,description,company_name,location,job_type,salary_period,salary_min,salary_max,salary_currency,is_remote,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. Key Responsibilities: - Build scalable web applications - Mentor junior developers - Collaborate with product team Requirements: - 5+ years experience with React - Strong knowledge of Node.js - Experience with AWS”,“Acme Corp”,“Remote”,“full-time”,“yearly”,80000,120000,“USD”,true,“2025-01-01 21:50:45.396+00”,“2024-12-31”
Step-by-Step Guide to Importing CSV
- Create your CSV file using a text editor or spreadsheet software.
- Ensure that the required columns (
title,company_name, andlocation) are included. - Save the file with a
.csvextension.
- Log in to your Kardow account.
- Navigate to the Jobs section in the dashboard.
- Look for the Import Jobs option, usually found in the settings or tools menu.
- Click on the Upload CSV button.
- Select your prepared CSV file from your computer.
- After uploading, you will be prompted to map the columns in your CSV to the fields in Kardow.
- For each column in your CSV, select the corresponding field in Kardow from the dropdown menu.
Example Mapping:
title→ Job Titledescription→ Job Descriptioncompany_name→ Company Namelocation→ Job Locationjob_type→ Job Typesalary_period→ Salary Periodsalary_min→ Minimum Salarysalary_max→ Maximum Salarysalary_currency→ Salary Currencyis_remote→ Remote Jobcreated_at→ Created Atexpires_at→ Expires At
- If you want to set a default expiry period for the jobs being imported, look for the option to specify the number of days before the jobs expire.
- Enter the desired number of days (e.g., 30 days).
- Review the mapping and settings to ensure everything is correct.
- Click on the Import button to start the import process.
- After the import is complete, you will receive a notification about the success or failure of the import.
- Check the Jobs section to see the newly imported job listings.
Conclusion
You have successfully imported job listings into Kardow using a CSV file. Ensure that the required fields are filled out correctly, and feel free to reach out to support if you encounter any issues during the import process.
This guide should help you streamline the job import process and ensure that all necessary data is captured accurately.