LinkedIn Email Finder + Profile Scraper (No Login)

Find business emails for any LinkedIn profile — no LinkedIn account needed, no risk of getting banned. Paste LinkedIn URLs and hit Start — get CRM-ready profiles with 15 email patterns and mail server verification in minutes.

What does this Actor do?

This Actor extracts LinkedIn public profiles and finds business email addresses, designed specifically for B2B sales teams, recruiters, and lead generation specialists. Unlike email finder tools that charge $0.03–0.10 per lookup and give you a single guess, this Actor:

• ✅ 15 email patterns per person — covering ~80% of corporate naming conventions
• ✅ Mail server verification built-in — MX record check confirms the domain accepts email
• ✅ Provider detection — know instantly if they use Google Workspace, Microsoft 365, or others
• ✅ 1 required input field — paste LinkedIn URLs and hit Start
• ✅ Success-based pricing — scrape failed? No charge

🛡️ Data Quality Guarantee

Every profile in your output has passed automatic quality checks — no configuration needed:

Quality Check	What it means for you
✅ 30 structured fields	Flat JSON/CSV — imports directly into HubSpot, Salesforce, or Google Sheets
✅ No null values	Every field has a value — no broken CRM imports
✅ Mail server verified	Know before you send whether the domain accepts email
✅ 15 patterns, not 1 guess	Try pattern #1 first (~36% of companies), fall back to others
✅ Failed profiles excluded	Only successfully scraped profiles appear in output

How it compares to other LinkedIn tools

Feature	This Actor	Email finder tools	LinkedIn scrapers
Email patterns	✅ 15 patterns per person	1 guess (may be wrong)	❌ No email
Mail server check	✅ Built-in (MX + provider)	❌ Extra cost or unavailable	❌ Not included
Pricing	$0.008/profile (fail = free)	$0.03–0.10/lookup	$0.005–0.02/profile
Login required	❌ No cookies needed	Varies	⚠️ Most require cookies
Account risk	✅ Zero (no login)	✅ Zero	⚠️ Account may get banned
Output readiness	CRM-ready flat CSV/JSON	Email only	Raw data, needs cleanup
Input complexity	1 field (paste URLs)	2+ fields	3+ fields

Input parameters

Parameter	Type	Required	Description
profileUrls	URL list	✅	LinkedIn profile URLs, one per line (up to 100 per run)

Supported input formats

You can mix and match all three formats:

• Full URL: https://www.linkedin.com/in/williamhgates
• Public ID: williamhgates
• Profile ID: ACoAAA8BYqEBCGLg_vT_aUBkSLMiSFG3DFIE0s

Quick start example

{
    "profileUrls": [
        { "url": "https://www.linkedin.com/in/satyanadella" },
        { "url": "https://www.linkedin.com/in/reidhoffman" },
        { "url": "https://www.linkedin.com/in/melindagates" },
        { "url": "https://www.linkedin.com/in/adammgrant" },
        { "url": "https://www.linkedin.com/in/jeffweiner08" }
    ]
}

How much will it cost?

Scrape failed? No charge. You only pay for profiles successfully scraped.

Condition	Cost	Details
Profile scraped	$0.008/profile	Full data + 15 email patterns + mail server check
Scrape failed	FREE	Not output, not charged

Cost examples

• 10 profiles: $0.08 (or less — you only pay for successful scrapes)
• 50 profiles: $0.40
• 100 profiles: $0.80
• Free tier ($5 credit): Up to 625 profiles

Output

Each profile produces a flat JSON record with 30 fields — all as plain values for easy use in Excel, Google Sheets, and CRMs. No complex objects or arrays.

#	Field	Description	Example
1	first_name	First name	"Satya"
2	last_name	Last name	"Nadella"
3	full_name	Full display name	"Satya Nadella"
4	profile_image_url	Profile photo URL	"https://media.licdn.com/dms/image/..."
5	current_company	Current company	"Microsoft"
6	location	Location	"Greater Seattle Area"
7	company_domain	Resolved company domain	"microsoft.com"
8	mail_server_status	MX record check result	"Active"
9	mail_provider	Detected email provider	"Microsoft 365"
10–24	predicted_email_1 to predicted_email_15	15 email patterns (see below)	"satya.nadella@microsoft.com"
25	about	Profile summary / bio	"Chairman and CEO at Microsoft…"
26	experiences	Current work info	"Microsoft"
27	educations	Education	"University of Wisconsin-Milwaukee"
28	follower_count	Number of followers	11482960
29	profile_url	LinkedIn profile URL	"https://www.linkedin.com/in/satyanadella"
30	public_identifier	LinkedIn public ID	"satyanadella"

Additional metadata: scrape_status ("success") and scraped_at (ISO 8601 timestamp).

15 email patterns — ~80% total coverage

These 15 patterns cover approximately 80% of all corporate email naming conventions. By trying the top patterns in order, you can reach the correct email for most business contacts.

Pattern #	Format	Coverage	Cumulative
1	firstname.lastname@	~36%	36%
2	flastname@	~15%	51%
3	firstnamelastname@	~7%	58%
4	firstname@	~5%	63%
5	firstname.l@	~3%	66%
6	lastname@	~2%	68%
7	f.l@	~1%	69%
8	lastnamefirstname@	~1%	70%
9	lastname.firstname@	~2%	72%
10	firstname_lastname@	~2%	74%
11	f.lastname@	~4%	78%
12	firstnamel@	~1%	79%
13	lastname.f@	~1%	80%
14	lastnamef@	~0.5%	80.5%
15	firstname-lastname@	~1%	~81%

💡 Start with pattern #1 (firstname.lastname@) — it matches ~36% of all companies. If that bounces, try patterns #2 and #11 next. Together, patterns #1 + #2 + #11 cover over 55% of companies.

Mail server status

Status	What it means for you
Active	The company domain has a working mail server — email patterns are likely deliverable
Inactive	No mail server found — emails may not be deliverable
Unknown	Could not determine (no company listed on profile)

Mail provider detection

When the mail server is Active, the provider is automatically detected:

Provider	What it tells you
Google Workspace	Company uses Gmail for business — pattern #1 is most likely
Microsoft 365	Company uses Outlook for business
Proofpoint	Enterprise-grade email security — likely a large company
Other	Self-hosted or other providers

Handling missing data

This Actor never outputs null values. When data is unavailable:

Placeholder	Meaning
"Not listed on profile"	This information is not present on the public LinkedIn profile
(empty string)	Email patterns could not be generated (no company listed on profile)

⏱ Processing Time

Profiles	Typical Time
5	2-3 min
30	8-10 min
100	30-35 min

💡 Recommended: up to 100 profiles per run. The default Apify timeout is 60 minutes. For batches larger than 100, split your URLs into separate runs of 100 each.

💡 You don't need to keep the browser open

Your Actor runs in the cloud — close the tab, shut down your computer, and come back later to download your data. The extraction continues in the background.

Real-time progress is shown on the run page:

🔍 Scraping: 45/100 (45%) | 38 active mail servers
✅ Done! 54/100 profiles scraped (54%), 46 emails. Cost: $0.432

Tips

• Start small: Try 5-10 profiles first to verify output quality, then scale up
• Mail server = confidence: When mail_server_status is Active, the predicted emails are much more likely to be deliverable
• Pattern #1 wins most often: firstname.lastname@ matches ~36% of all companies — try it first
• Batch wisely: Use runs of up to 100 profiles. For larger lists, split into multiple runs
• Use with email verification tools: For maximum deliverability, run the top 2-3 patterns through an email verification service before sending

Limitations

• Public profiles only. This Actor accesses publicly visible LinkedIn data without login. Some LinkedIn profiles require login to view — these profiles cannot be scraped and are not charged. Typical success rate is 50-60% depending on the target profiles.
• Up to 100 profiles per run. The default Apify timeout is 60 minutes, which accommodates approximately 100 profiles. For larger batches, split your URLs into multiple runs.
• No LinkedIn search. This Actor processes known profile URLs. It does not perform keyword-based profile discovery. Combine with a LinkedIn search scraper to build URL lists.
• Email depends on company. Email prediction requires a company name on the profile. Profiles without a listed company will return empty email fields.
• Predicted, not verified. Email addresses are generated patterns, not individually verified mailboxes. MX check confirms the domain accepts mail, not individual addresses. For maximum accuracy, verify the top patterns with an email verification tool before sending.

Disclaimer

This Actor is unofficial and not affiliated with or endorsed by LinkedIn. It accesses only publicly available data from LinkedIn public profiles. Use responsibly and in compliance with applicable laws and regulations. Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. We also recommend that you read our blog post: is web scraping legal?