Personal Email Finder for LinkedIn🔥 avatar
Personal Email Finder for LinkedIn🔥

Pricing

Pay per event

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Personal Email Finder for LinkedIn🔥

Personal Email Finder for LinkedIn🔥

🔍 Find real personal email 📧 from any LinkedIn profile in seconds.⚡Boost your outreach with accurate, ready-to-contact data.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Code Pioneer

Code Pioneer

Maintained by Community

Actor stats

2

Bookmarked

6

Total users

4

Monthly active users

2 days ago

Last modified

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📧 Personal Email Finder

Find verified personal email addresses from any LinkedIn profile — fast, accurate, and fully automated.

This tool extracts personal emails from LinkedIn profile URLs. Simply provide a list of LinkedIn profile links and get enriched results including names and all discovered personal emails.

✨ What It Does

This actor finds personal email addresses for LinkedIn profiles. It:

  • ✅ Accepts multiple LinkedIn profile URLs as input
  • 🔍 Searches for personal email addresses associated with those profiles
  • 📨 Returns personal emails along with profile information (first name, last name)
  • 💰 Charges based on the number of profiles with personal emails found

📥 Input

The actor requires a single input parameter:

  • linkedin_url (array, required): An array of LinkedIn profile URLs you want to find personal emails for.

Example Input

{
"linkedin_url": [
"https://www.linkedin.com/in/john-doe/",
"http://www.linkedin.com/in/jane-smith"
]
}

Supported URL Formats

The actor accepts LinkedIn URLs in various formats:

  • https://www.linkedin.com/in/username
  • http://www.linkedin.com/in/username
  • https://linkedin.com/in/username
  • URLs with or without trailing slashes

📤 Output

The actor returns an array of results, one for each input LinkedIn URL. Each result contains:

  • linkedin_url (string): The original LinkedIn URL you provided
  • first_name (string | null): First name of the person (in title case)
  • last_name (string | null): Last name of the person (in title case)
  • first_personal_email (string | null): The first personal email found, or null if none
  • personal_emails (array): Array of all personal emails found (empty array if none)

Example Output

[
{
"linkedin_url": "https://www.linkedin.com/in/john-doe/",
"first_name": "John",
"last_name": "Doe",
"first_personal_email": "john.doe@gmail.com",
"personal_emails": ["john.doe@gmail.com", "johndoe@yahoo.com"]
},
{
"linkedin_url": "https://www.linkedin.com/in/jane-smith",
"first_name": null,
"last_name": null,
"first_personal_email": null,
"personal_emails": []
}
]

💰 Pricing

The actor charges based on the number of LinkedIn profiles for which personal emails are found:

  • 💳 You are charged once per profile that has at least one personal email
  • 📊 If a profile has multiple personal emails, you are still charged only once for that profile
  • ✅ Profiles without personal emails are not charged

🚀 Usage

Via Apify Platform

  1. 🌐 Go to the actor page on Apify
  2. ▶️ Click "Start" to run the actor
  3. 📝 Enter LinkedIn URLs in the input field (one per line or as a list)
  4. 🎯 Click "Run" to start the actor
  5. ⏳ Wait for the run to complete
  6. 📊 View results in the "Dataset" tab

Via API

curl -X POST \
'https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_API_TOKEN' \
-H 'Content-Type: application/json' \
-d '{
"linkedin_url": [
"https://www.linkedin.com/in/john-doe/",
"https://www.linkedin.com/in/jane-smith"
]
}'

Via JavaScript SDK

const { ApifyClient } = require('apify-client');
const client = new ApifyClient({
token: 'YOUR_API_TOKEN',
});
const run = await client.actor('YOUR_ACTOR_ID').call({
linkedin_url: [
'https://www.linkedin.com/in/john-doe/',
'https://www.linkedin.com/in/jane-smith'
],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

⚡ Rate Limits

  • 🆓 Free Plan Users: 21 runs per day
  • 💎 Paying Users: Effectively unlimited (10,000,000 runs per day)

💬 Support

For issues, questions, or feature requests, please contact the actor maintainer or visit the actor page on Apify.