LinkedIn Parser — How to Use

Paste a LinkedIn URL, review the parsed data, and convert it into a persona in three clicks.

What is it?

The workflow to pull a LinkedIn profile into a persona. The parser makes a server-side request to a LinkedIn scraper (via RapidAPI), returns structured JSON, and displays it in a review pane. You can then convert it to a persona with one click.

When should I use it?

• You have the URL of someone who fits the ideal customer profile.
• You're onboarding a new B2B client and need persona scaffolding fast.

How to use it

1. Open LinkedIn Parser from the sidebar.
2. Paste a LinkedIn profile URL into the input (must be public).
3. Click Parse. The page shows a loading state for ~10–20 s.
4. Review the extracted fields: headline, name, current position, location, industry, skills, recent experience.
5. Edit fields inline if something looks wrong.
6. Click Convert to Persona. You're redirected to the Personas screen with the create form pre-filled.
7. Add goals, frustrations, quotes, and questions — the parser doesn't produce these.
8. Save the persona.

Tips and best practices

• Rename the persona before saving — don't use the real person's name as the persona name. Privacy and professionalism.
• Copy the raw summary (headline + recent experience) into the persona Bio field for richer context.
• Use the skills list as a starting point for Goals — skills often imply what the person wants to deepen or achieve.

Gotchas and limits

• Parser occasionally returns partial data (e.g. no skills) depending on profile privacy settings. Fill gaps manually.
• Some profiles return "Unable to parse" — the upstream scraper is rate-limited or the profile format is unusual. Try again in a few minutes or paste text manually.
• The parser does not scrape connections or posts — just profile-level data.
• RTL-language profiles (Hebrew, Arabic) work but less reliably than English-language profiles.

Related

• Overview
• Import via Personas
• Create & edit personas