Last updated: June 2026.
To convert a candidate's LinkedIn profile to a CV: ask the candidate to export their profile ("More" button, then "Save to PDF" on their own profile), then rebuild that export into your agency's branded template — manually in 25-40 minutes, or with an AI formatter in about 60 seconds for $0.99. The export loses formatting, truncates descriptions, and carries compliance obligations, so each step below matters.
This is a recruiter's guide: sourcing candidates whose only "CV" is their LinkedIn profile, and turning that into a client-ready document without rekeying a career history by hand.
How do you export a candidate's LinkedIn profile as a PDF?
The clean route is candidate-led. On their own profile, the candidate clicks the More button (the three-dot menu below their headline) and selects Save to PDF. LinkedIn generates a plain PDF of the visible profile — headline, about section, experience, education, skills — which the candidate sends to you. It takes them under a minute, and because the candidate supplies it, you have a clear, defensible basis for processing it.
Recruiters can also save a candidate's public profile to PDF from their own account, but the export only contains what's visible to you, which is frequently less than the candidate sees on their own profile. As a working rule: use recruiter-side exports for an initial qualification conversation, and request a candidate-side export (or an actual CV) before anything goes near a client. Avoid scraping tools — they breach LinkedIn's terms and create exactly the data-provenance problem the candidate-led route avoids.
What gets lost in a LinkedIn PDF export?
A LinkedIn export is not a CV — it's a flattened summary, and it loses material in predictable places:
- Formatting: the PDF is unstyled single-column text. No branding, no layout, not client-ready.
- Truncated detail: long role descriptions and the about section can render incompletely; bullets collapse into paragraphs.
- Skills without evidence: the skills list arrives as bare keywords, detached from the roles where they were used.
- Missing CV staples: contact details (unless public), certifications' issue dates, publications, project detail, languages and notice period are partial or absent.
- Recommendations and media: endorsements, attached portfolios, and links don't survive the export.
- Career framing: profiles are written as marketing ("passionate leader..."), not as the achievement-and-scope evidence clients want.
Treat the export as raw material, not a finished document. The gaps are also your screening agenda: dates to confirm, achievements to quantify, contact details to capture directly from the candidate.
How do you rebuild the export into a branded CV?
Manually, this is the familiar 25-40 minute grind: copy each section out of the PDF, restructure marketing prose into achievement bullets, rebuild dates, chase missing details, then fight your agency's Word template. Multiply by a shortlist of ten and it's a lost day.
The faster route is the AI CV formatting workflow: upload the LinkedIn PDF, choose the client's template, and the engine parses the export, maps headline, experience, education and skills into the right sections, and produces a branded, ATS-safe DOCX or PDF in about 60 seconds. FormaCV handles LinkedIn exports as a first-class input alongside PDFs, DOCX files, scanned CVs and call transcripts, includes unlimited branded templates per client or branch, and costs $0.99 per CV with a 30-day free trial and no credit card. There's a dedicated walkthrough on the LinkedIn-to-CV feature page. You still do a human pass — verify dates, add the achievements LinkedIn never captures — but you're reviewing a formatted document, not building one. If the document must also parse cleanly into the client's ATS, our ATS formatting guide covers the rules the template should already satisfy.
What are the compliance rules when converting LinkedIn profiles?
Under UK and EU GDPR, a candidate's LinkedIn profile is personal data and your agency is the controller the moment you store or transform it. The practical rules:
- Prefer candidate-provided data. A profile PDF the candidate sends you, or explicit consent to represent them, is the clean foundation. Legitimate-interest processing of public profile data for initial sourcing is commonly relied on, but it comes with transparency duties — tell candidates promptly that you hold their data and why.
- Never send a client a CV built from a profile without the candidate's knowledge and agreement. Beyond GDPR, it torches trust and can misrepresent someone who never reviewed the document.
- Accuracy is a GDPR principle. A rebuilt CV must be confirmed with the candidate before submission — profiles go stale.
- Mind your tooling. Whatever processes the data should sign a DPA and offer EU data residency; FormaCV does both, with an audit log on every plan. If the shortlist is blind, apply anonymisation at the formatting step rather than redacting by hand.
What does the full AI workflow look like?
The repeatable five-step loop for a sourced candidate:
- Engage and request: candidate agrees to be represented and sends their profile PDF (or a CV if one exists).
- Screen: confirm dates, scope, achievements, notice period — the things the export lacks.
- Format: upload the export to your formatter, select the client template, add anonymisation if required; 60 seconds later you have the branded document.
- Enrich and verify: drop in screening findings, have the candidate confirm the final CV.
- Submit and store: deliver to the client, attach the file to your ATS record.
Per candidate, the document work falls from half an hour to a couple of minutes, and every CV that leaves your agency looks identical regardless of which recruiter built it. That consistency — more than the raw speed — is what clients register over a quarter.
LinkedIn isn't going to start producing client-ready CVs, and candidates increasingly don't maintain one. The agencies that handle this well treat the profile export as structured raw material, run it through a fixed template pipeline, and spend their saved time on the screening detail no export can capture.