LinkedIn Email Finder & Verifier | Find B2B Emails
Pricing
from $15.00 / 1,000 email found & verifieds
LinkedIn Email Finder & Verifier | Find B2B Emails
Find verified emails from LinkedIn profiles or Names & Domains. We generate permutations and perform live SMTP handshakes to guarantee deliverability. No external API keys required! At just $0.020 per valid email
Pricing
from $15.00 / 1,000 email found & verifieds
Rating
5.0
(1)
Developer
Mohammad Palekar
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1
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9 hours ago
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LinkedIn Email Finder — Find Verified Emails from LinkedIn Profiles
Turn any LinkedIn profile URL into a verified professional email address. Upload a CSV or Google Sheet of LinkedIn URLs, and get back real, SMTP-verified work emails — not guesses from stale databases.
How it works: We scrape each LinkedIn profile to extract their name and current company, generate 14+ email permutations (first.last@company.com, flast@company.com, etc.), then perform live SMTP handshakes against the company's mail server to confirm which one actually exists.
Why This Actor?
| Feature | LinkedIn Email Finder | Hunter.io / Apollo |
|---|---|---|
| Price per verified email | $0.02 | $0.01 – $0.05 |
| LinkedIn profile scraping (no cookies) | ✅ | ❌ Requires browser extension |
| Live SMTP verification | ✅ | ❌ Database lookups |
| Works on brand-new hires | ✅ | ❌ Stale data |
| Catch-all domain detection | ✅ | Some |
| CSV / Google Sheets upload | ✅ | ❌ |
| Bulk processing (thousands) | ✅ | Rate limited |
| No API key required | ✅ | ❌ |
Use Cases
- Sales prospecting — Upload your lead list of LinkedIn URLs, get back verified emails ready for outreach
- Recruiting — Find direct email addresses for candidates instead of relying on InMail
- Link building & PR — Reach journalists, bloggers, and editors at their work email
- Account-based marketing — Build verified contact lists for target accounts at scale
- CRM enrichment — Enrich your existing LinkedIn-based CRM with verified email addresses
Input Options
Option 1: CSV / Google Sheets Upload (Recommended)
Paste a URL to your CSV file or Google Sheet containing LinkedIn profile URLs. The actor automatically:
- Detects your column headers — supports
LinkedIn Profile,linkedin_url,URL,Profile, and 10+ variations - Converts Google Sheets links — paste a regular
docs.google.com/spreadsheets/...link and it auto-converts to CSV - Handles any delimiter — commas, semicolons, tabs — all auto-detected
Option 2: Direct LinkedIn URLs
Paste LinkedIn profile URLs directly into the LinkedIn URLs field, one per line.
Option 3: Manual Name + Domain
If you already know the person's name and company domain, enter them directly as FirstName, LastName, domain.com — skips the LinkedIn scraping step entirely.
How the Pipeline Works
LinkedIn URL → Scrape Profile → Extract Name + Company→ Generate 14 Email Permutations→ SMTP Verify Each One in Parallel→ Return the Winning Email ✅
Email Patterns We Test
For a person named John Doe at company.com, we test:
| Pattern | Example |
|---|---|
first@domain | john@company.com |
first.last@domain | john.doe@company.com |
firstlast@domain | johndoe@company.com |
flast@domain | jdoe@company.com |
firstl@domain | johnd@company.com |
first_last@domain | john_doe@company.com |
f.last@domain | j.doe@company.com |
last@domain | doe@company.com |
lastfirst@domain | doejohn@company.com |
last.first@domain | doe.john@company.com |
lastf@domain | doej@company.com |
fl@domain | jd@company.com |
first-last@domain | john-doe@company.com |
first.l@domain | john.d@company.com |
Output
Each LinkedIn profile produces a result row with the verified email and metadata:
{"firstName": "John","lastName": "Doe","domain": "company.com","linkedinUrl": "https://www.linkedin.com/in/johndoe","email": "john.doe@company.com","status": "found","confidence": "high","is_catch_all": false,"smtp_response": "250 OK — Mailbox exists"}
Result Statuses
| Status | Meaning | Action |
|---|---|---|
found | ✅ Verified email address discovered | Use for outreach |
not_found | ❌ None of the 14 patterns matched | Person may use a non-standard email |
error | ⚠️ LinkedIn profile couldn't be scraped | Check the URL is valid and public |
Confidence Levels
| Confidence | Meaning |
|---|---|
high | SMTP server explicitly confirmed the mailbox exists |
medium | Domain is catch-all (accepts all emails) — likely valid but unconfirmed |
Pricing
$0.02 per email found — you only pay when we successfully find and verify an email.
- ❌ No charge for profiles where no email was found
- ❌ No charge for LinkedIn scraping
- ❌ No monthly subscription
- ✅ Pay only for results
Cost Examples
| Leads | Emails Found (est. 60%) | Cost |
|---|---|---|
| 100 LinkedIn profiles | ~60 verified emails | $1.20 |
| 1,000 LinkedIn profiles | ~600 verified emails | $12.00 |
| 10,000 LinkedIn profiles | ~6,000 verified emails | $120.00 |
Plan-Based Limits
| Apify Plan | Max Profiles Per Run | Processing Speed |
|---|---|---|
| Free ($5/mo) | 50 profiles | Batched (slower) |
| Starter+ ($49/mo+) | Unlimited | Full speed |
Free plan users are automatically limited to 50 LinkedIn profiles per run and processed in smaller batches. Upgrade your Apify plan to remove this limitation.
Frequently Asked Questions
How accurate is the email finding?
We typically find verified emails for 50–70% of LinkedIn profiles, depending on the industry. Tech companies with standard email patterns (first.last@company.com) have the highest hit rates. The emails we do find are verified via live SMTP — not pulled from a database.
Do I need LinkedIn cookies or a LinkedIn account?
No. We use a third-party LinkedIn scraper that works without any cookies or login credentials. Your LinkedIn account is never touched.
Can I upload a Google Sheet directly?
Yes! Just paste the regular Google Sheets URL (e.g., https://docs.google.com/spreadsheets/d/...). Make sure the sheet's sharing is set to "Anyone with the link can view" and we'll auto-convert it to a CSV download.
What if a LinkedIn profile is private or doesn't exist?
We'll mark it as error with the message "LinkedIn scraper failed to extract profile data for this URL." You won't be charged for these profiles.
How fast is it?
Each batch of 10 LinkedIn profiles takes about 10–15 seconds to scrape. Email verification runs in parallel and typically completes within seconds. A full run of 50 profiles takes roughly 2–3 minutes.
Can I chain this with other Apify actors?
Yes! Scrape LinkedIn URLs with any actor (LinkedIn Search Scraper, Sales Navigator Scraper, etc.), then pass the results directly to this actor via CSV URL or Dataset ID.
Integrations
Connect LinkedIn Email Finder with your existing tools:
- Make.com & Zapier — Auto-find emails when new leads enter your CRM
- Google Sheets — Upload directly, download results as CSV
- Clay & Apollo — Enrich outbound prospect lists
- n8n — Build self-hosted lead enrichment pipelines
- HubSpot & Salesforce — Enrich CRM contacts via API
API Usage
Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_API_TOKEN")run = client.actor("YOUR_USERNAME/linkedin-email-finder-pro").call(run_input={"csvUrl": "https://docs.google.com/spreadsheets/d/YOUR_SHEET_ID/export?format=csv"})for item in client.dataset(run["defaultDatasetId"]).iterate_items():if item.get("status") == "found":print(f"{item['firstName']} {item['lastName']}: {item['email']}")
JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });const run = await client.actor("YOUR_USERNAME/linkedin-email-finder-pro").call({csvUrl: "https://docs.google.com/spreadsheets/d/YOUR_SHEET_ID/export?format=csv"});const { items } = await client.dataset(run.defaultDatasetId).listItems();items.filter(i => i.status === 'found').forEach(i => {console.log(`${i.firstName} ${i.lastName}: ${i.email}`);});
Changelog
- v1.0.16 — Complete rewrite of LinkedIn enrichment layer. Fixed HarvestAPI schema mapping, added batch chunking for free plan users, auto-detection of Google Sheets URLs, and comprehensive error logging.
- v1.0.0 — Initial release with LinkedIn scraping, 14-pattern email permutation, and live SMTP verification.
Support
This Actor is actively maintained. Found a bug or need a feature? Open an issue — we respond within 24 hours.