LinkedHelper exports a wide, messy CSV — combined name fields, “Current Company”, “Profile Url”, and a column order that nothing else expects. Before you can push those connections into your ATS or CRM, you have to rename and reorder everything by hand, file after file. This tool does that pass for you, in the browser. Drop the standard “Connections + profile data” export and it maps the columns to one clean target schema.
The output is always the same shape, so your import template never breaks: first_name, last_name, full_name, company, title, email, phone, linkedin_url, source, date_added. If your export only has a combined Name column, it splits it back into first and last for you, and stamps every row with source=LinkedHelper and today’s date. Before you convert, the preview shows the headers it detected and how many of the target fields it actually filled — so you catch a stale or renamed export before it lands in your pipeline.
One honest limit: LinkedHelper’s “current company” is only as fresh as the contact’s own LinkedIn. People who haven’t updated their profile carry a stale role into the export, and this tool copies whatever LinkedHelper gave it. Cross-check the title and company against the linkedin_url before a mass import into your ATS. The file is parsed locally and never uploaded.