LinkedIn Profile Scraper with Email — No Cookies

LinkedIn Profile Scraper with Email turns LinkedIn profile URLs into complete rows: the full public profile — name, headline, current title and company, location, about, followers, the whole experience history with dates, education, certifications, skills, recommendations — plus the person's work e-mail address, with the evidence behind it and a confidence level.

$3.20 per 1,000 profiles, $8 per 1,000 profiles with e-mail — and you pay the e-mail price only when the row carries an e-mail at or above your minimum confidence (default medium: the company's own site confirms the address layout). No LinkedIn login, no cookies, no account at risk, no start fee. Profiles that do not exist or that LinkedIn hides from logged-out visitors are free.

What is LinkedIn Profile Scraper with Email?

A LinkedIn email finder and profile scraper in one run, for sales prospecting, recruiting and CRM enrichment. It reads the public profile page — the version LinkedIn shows search engines and logged-out visitors — and returns it as structured data. Then it turns the person's current company into its website, reads how that company writes its e-mail addresses (a team page that says jane.doe@ tells you how everyone else is addressed), builds the person's address in that layout and checks that the mail domain accepts mail.

One row per person, one charge per row: Profile with e-mail when the row carries an address, Profile when it does not. Never both. No official LinkedIn API needed.

What data does it extract?

Field	Meaning
fullName, firstName, lastName, headline	Identity as shown on the profile
title, company, companyLinkedinUrl, currentPositions	Current role(s) with the company page
📧 email, confidence, emailStatus	The work e-mail (only at or above Minimum e-mail confidence), confirmed / high / medium / low, and what was really checked: found-on-website, pattern-confirmed or unverified-guess (see below)
emailGuess	The best address when it is not put into email (below your minimum confidence, or the domain failed the DNS check) — free, use at your own risk
emailDomainStatus	DNS verdict for the mail domain: accepts-mail, risky, undeliverable, unknown
emailPattern, foundOnSite, patternEvidence, patternEvidenceCount	The layout used (first.last, flast, first…), whether the address itself is on the company site, and the published addresses that prove the layout
alternatives	Runner-up addresses in the other plausible layouts
domain, domainSource, domainEvidence, companyWebsiteName	The company website and how it was confirmed as the company's
emailProvider, emailMxHost, emailIsRole, emailIsFree, emailIsDisposable	Mail-domain checks: Google Workspace, Microsoft 365…, role / free / disposable flags
summary	One line: where the e-mail came from and how the row was charged
location, country, about, website	Location, about text, website from the profile
city, region, countryCode	The location split into parts (Redmond / Washington / US); city and region stay empty for a country-only or metro-area location
followers, connections, badges	Follower count, "500+" connections, Creator / Top Voice
experience	Every role, including each role inside a company group: title, company, company URL, companyLogo, location, employmentType (when shown), start, end, current flag, duration, full description
education	Every school with degree, fieldOfStudy, activities, grade, description, schoolLogo, start and end
certifications, volunteering, publications, honorsAndAwards, organizations, skills, recommendations	Every such section the public profile shows
languages, languageProficiencies, courses, projects, testScores, coursesTaught	Languages with proficiency, courses, projects, test scores, LinkedIn Learning courses the person teaches
imageUrl, coverImageUrl, memberId, profileUrn	Photo, cover image, LinkedIn member id and URN
similarProfiles, sameNameProfiles	"Other similar profiles" (LinkedIn's "People also viewed" rail as logged-out visitors see it, usually 10–20: name, headline as the card shows it, location, followers, URL, photo) and "Others named …" when shown — free leads, no extra charge
latestPosts, articles	With Add the latest posts and articles on: 5–9 recent posts and up to 10 articles

The field names are the same as in our LinkedIn Profile Scraper (profile part) and LinkedIn Email Finder (e-mail part), so a pipeline built on either keeps working.

💰 How much does it cost to scrape LinkedIn profiles with email?

Event	You pay for	FREE	BRONZE	SILVER	GOLD / PLATINUM / DIAMOND
Profile with e-mail	a row whose email is filled — confidence at or above your minimum (default medium)	$0.008	$0.0076	$0.0072	$0.0068
Profile	a row without an e-mail (a guess only in emailGuess counts as no e-mail), or e-mail search off	$0.0032	$0.00304	$0.00288	$0.00272
Error row, 404, profile hidden from logged-out visitors	—	$0	$0	$0	$0

• The e-mail price is paid only when there is an e-mail. A person whose company has no findable website, an address on a domain that takes no mail or has no MX record, a domain that does not answer a DNS check after three tries, or an address below the minimum confidence you set — the row is delivered and charged as a plain Profile (the guess is kept in emailGuess and alternatives, except on a domain that takes no mail).
• No address on an unconfirmed domain. An address is built only on a domain with evidence that it is the company's: you gave it, it is the parent's mail domain (Microsoft AI → microsoft.com), the company's LinkedIn page links it, the domain spells the company name, or the website carries the company's name. A look-alike domain is listed in unconfirmedDomains and the row is a plain Profile. Titles and credentials in names (Dr., Gov., PhD, MBA, Jr., emojis, text after a comma or a pipe) are removed before the address is written, and a middle name is never glued into it: "John H. Cammack" is john.cammack@, while a surname with particles stays whole ("van der Berg", "de la Cruz").
• Minimum e-mail confidence to pay for (default medium since 5 October 2026): a low address — the most common layout, nothing on the company's site confirms it — goes to emailGuess instead of email, at the plain profile price. Set it to low to get such guesses in email and pay the e-mail price for them; high or confirmed to pay only for stronger evidence.
• Experience, education, skills, posts, alternatives, evidence and domain checks: included. No fee per run, no proxy charge.
• On Apify's free plan ($5 of monthly credit) that is about 620 profiles with e-mail or 1,500 profiles a month.

Bulk export: what 50,000 profiles actually cost

Job: 50,000 LinkedIn profiles	This Actor	harvestapi/linkedin-profile-scraper	dev_fusion/Linkedin-Profile-Scraper
Profiles only	$160	$200	—
Profiles + e-mail search	$294 (e-mail on ~56% of rows — $8/1,000 for those, $3.20/1,000 for the rest)	$500 ($10/1,000 per e-mail search, found or not)	$500 ($10/1,000 rows)

Prices from the Apify Store on 1 October 2026 (FREE tier). The e-mail share is what we measured on a test list of 25 real profiles on 1 October 2026: 14 of 25 rows (56%) carried an e-mail. An address is delivered only on a domain we could confirm as the company's own (and whose mail domain has a working MX record) — a person whose company we cannot pin to its website gets a plain profile row instead of a guess. Yours will differ, and you only pay $8/1,000 for the rows that actually carry an address. Honest detail from the same list: all of those addresses were low confidence, because large employers (Microsoft was the most common one) publish no personal addresses on their websites. That measurement was made with the minimum confidence at low; since 5 October 2026 the default is medium, so such guesses come in emailGuess at the plain profile price and only addresses whose layout the company itself shows are charged as e-mails — on lists of large-company employees expect far fewer e-mail rows (and a lower bill).

Why some profiles come back as free error rows

Every profile is read through a residential address, a new one for each profile. About one profile in five is hidden from logged-out visitors on that route (LinkedIn answers HTTP 999 or a login wall). Hidden profiles are opened through a second route: a web unblocker first, and a heavier unblocking service for the ones it cannot open — together they open most of them, even on a short list made only of hidden profiles. The second route is paid from the run's own margin and is included in the price. What still refuses — usually profiles their owners hid from search engines — comes back as an error row and costs nothing. This Actor never logs in. On our 120-profile test list on 1 October 2026 all 120 profiles were delivered, 31 of them through the second route — expect a few percent of error rows on other lists.

Run health

When a run ends with many error rows, the Actor sends its developer the counts (rows delivered, error types, run ID) so the cause gets fixed fast. Your input and your results are never sent.

Very long lists

When most of the last 30 profiles in a run are refused by rate limits (hidden profiles do not count), the rest of the list goes straight to the second route (with your own proxies: the run pauses for 90 seconds, and after two pauses stops). A run that gets within 45 seconds of its timeout stops taking new profiles the same way. Profiles that were not tried are not charged; their URLs are saved in the NOT_ATTEMPTED record of the run's key-value store and named in the status message. With Max cost per run set, the run stops by itself at that amount, green, with every written row paid for.

How to scrape LinkedIn profiles with email in three steps

1. Paste LinkedIn profile URLs or slugs into 👤 LinkedIn profiles — https://www.linkedin.com/in/satyanadella or satyanadella — or link a file / Google Sheet.
2. Leave 📧 Find the work e-mail on. Optionally raise Minimum e-mail confidence to pay for, or set Company override when the whole list works at one company.
3. Press Start, then download JSON, CSV or Excel — or call it from the API, n8n, Make, Zapier or an AI agent.

⬇️ Input

{
  "profileUrls": ["https://www.linkedin.com/in/satyanadella", "jeffweiner08", "justinwelsh"],
  "findEmail": true,
  "minConfidence": "medium",
  "includePosts": false
}

Input options

Field	Default	What it does
profileUrls	3 demo profiles	Profile URLs or slugs
startUrls	—	A file or Google Sheet with profile URLs
findEmail	true	Find the work e-mail; off = profiles only at the Profile price
minConfidence	medium	Lowest confidence put into email and paid at the e-mail price; weaker guesses go to emailGuess
companyOverride	—	One company name or domain for everyone
candidatesPerPerson	3	How many addresses (best + alternatives)
maxPagesPerCompany	4	Company pages read to learn the address layout
checkMx	true	DNS check that the mail domain accepts mail — always runs, because only an address on a domain with an MX record is charged as an e-mail
includePosts	false	Latest posts and articles in the row, no extra charge
maxItems, concurrency, pageTimeoutSecs, proxyConfiguration		Limits and network settings

⬆️ Output

{
  "type": "profile",
  "fullName": "Justin Welsh",
  "firstName": "Justin",
  "lastName": "Welsh",
  "headline": "Writer & Entrepreneur. I write The Saturday Essay for 200,000+ ambitious people…",
  "title": "Writer",
  "company": "the saturday essay.",
  "email": null,
  "confidence": "low",
  "emailStatus": "unverified-guess",
  "domain": "thesaturdayessay.com",
  "emailGuess": "justin.welsh@thesaturdayessay.com",
  "emailDomainStatus": "accepts-mail",
  "companyLinkedinUrl": "https://www.linkedin.com/company/saturday-essay",
  "location": "New York City Metropolitan Area",
  "city": null,
  "region": null,
  "countryCode": "US",
  "followers": 883050,
  "connections": "500+",
  "experience": [
    { "title": "Writer", "company": "the saturday essay.", "startDate": "Jan 2022", "endDate": null, "current": true, "duration": "4 years 10 months", "companyLogo": "https://media.licdn.com/dms/image/v2/…", "location": null, "employmentType": null },
    { "title": "Founder", "company": "Justin Welsh", "startDate": "Aug 2019", "endDate": null, "current": true, "duration": "7 years 3 months", "companyLogo": "https://media.licdn.com/dms/image/v2/…", "location": null, "employmentType": null }
  ],
  "education": [{ "school": "The Ohio State University", "startDate": "1999", "endDate": "2003", "degree": "BSBA", "fieldOfStudy": "Marketing", "activities": "Phi Kappa Tau Fraternity, Project Open Hand, Economics Tutor" }],
  "coverImageUrl": "https://media.licdn.com/dms/image/v2/…",
  "memberId": "16259454",
  "similarProfiles": [{ "name": "Will Polese", "headline": "ELSA, Corp", "location": "Bali, Indonesia", "followers": 8000, "linkedinUrl": "https://www.linkedin.com/in/willpolese", "imageUrl": null }],
  "sameNameProfiles": [],
  "linkedinUrl": "https://www.linkedin.com/in/justinwelsh",
  "emailPattern": "first.last",
  "emailPatternSource": "default",
  "foundOnSite": false,
  "alternatives": [
    { "email": "justin.welsh@thesaturdayessay.com", "pattern": "first.last" },
    { "email": "justin@thesaturdayessay.com", "pattern": "first" },
    { "email": "jwelsh@thesaturdayessay.com", "pattern": "flast" }
  ],
  "patternEvidence": [],
  "emailProvider": "godaddy",
  "summary": "Best guess justin.welsh@thesaturdayessay.com (unverified-guess) is \"low\" confidence, below the minimum you set (\"medium\"); it is in \"emailGuess\" and \"alternatives\". Charged as a plain profile.",
  "scrapedAt": "2026-10-01T14:44:09.901Z"
}

What the confidence levels and statuses mean

confidence	emailStatus	What was checked	In email by default?
confirmed	found-on-website	the address itself is published on the company website	yes — Profile with e-mail
high	pattern-confirmed	two or more personal addresses on the company site use this layout	yes — Profile with e-mail
medium	pattern-confirmed	one personal address on the company site uses this layout	yes — Profile with e-mail
low	unverified-guess	nothing: the most common corporate layout (first.last) on a domain that accepts mail	no — emailGuess, plain Profile price
unusable	undeliverable / risky / unknown	the mail domain failed the DNS check	no — plain Profile price

Until 5 October 2026 every address on a domain with an MX record was labelled deliverable. That label is gone: the DNS result is in emailDomainStatus and emailMxHost, and it says only that the domain takes mail, not that this mailbox exists.

Mailbox-level (SMTP) verification is deliberately not done: it is unreliable for Google and Microsoft domains and gets senders blocked. If you need it, run the email column through an e-mail verifier.

Use cases for LinkedIn profile and e-mail data

Outbound from a LinkedIn search

Export a search, paste the profile URLs, get title, company, career history and a work e-mail per person in one row — ready for a sequence.

Recruiting

The full career path with tenure per role, and an address to write to the candidate outside LinkedIn InMail.

CRM enrichment

Refresh contacts on a schedule: job changes show up as a new current company, and the e-mail follows the new domain.

AI agents

Through the Apify MCP server an agent can ask "who is this person and how do I reach them?" and get one row back, with summary explaining the e-mail.

Integrations

Every run is available through the Apify API (JavaScript and Python clients), and the Actor works out of the box with n8n, Make, Zapier, Google Sheets, LangChain, webhooks and the Apify MCP server.

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("lergassy/linkedin-profile-email-scraper").call(run_input={
    "profileUrls": ["https://www.linkedin.com/in/satyanadella"], "minConfidence": "medium"})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row.get("fullName"), row.get("email"), row.get("confidence"))

❓ FAQ

How is this different from harvestapi or dev_fusion?

Same idea — LinkedIn profiles plus e-mail without cookies — at a lower price: $3.20 vs $4 per 1,000 plain profiles and $8 vs $10 per 1,000 profiles with e-mail. The bigger difference is what you pay for: harvestapi charges $10/1,000 for every e-mail search, and dev_fusion $10/1,000 for every row; here the e-mail price applies only to rows that actually carry an address, and every address comes with its evidence and a confidence level.

Do I need cookies or a LinkedIn account?

No. It reads public profiles only, so nothing can be restricted.

Why does a profile come back without an e-mail?

The profile lists no current company, the company has no website we can find (use Company override with its domain), the domain takes no mail, LinkedIn shows only the initial of the surname ("Diego C.") so the address cannot be written, or the best address is below your minimum confidence (then it is in emailGuess). Those rows cost the plain Profile price.

Why is email empty but emailGuess filled?

The company's website shows no personal address that confirms the layout, so the address is only the most common corporate layout — a guess (emailStatus: unverified-guess). It is not charged as an e-mail. Set Minimum e-mail confidence to pay for to low if you want such guesses in email (and pay the e-mail price for them).

What happens to an input that is not a profile URL?

It comes back as a free error row (type: "error") that names the value, instead of being skipped silently.

Do I only need profiles, or only e-mails?

Profiles only: LinkedIn Profile Scraper. E-mail only, without the full profile: LinkedIn Email Finder. This Actor is both in one row.

Is one row returned per profile?

Yes — one row per profile URL, one charge per row, duplicates in the input are read once.

Can I use it with the Apify API or an MCP server?

Yes. Call it from the API or the JavaScript / Python client, or let an AI agent call it through the Apify MCP server.

Can I integrate it with other apps?

Yes — n8n, Make, Zapier, Google Sheets, webhooks and anything that speaks HTTP.

Is it legal to scrape LinkedIn profiles and e-mails?

The Actor reads profiles that people have made public and builds business addresses from public company websites. The rows are personal data: under GDPR, CCPA and similar laws you need a lawful basis to process them, must respect opt-outs and anti-spam rules (CAN-SPAM, PECR), and must follow LinkedIn's terms. Use it for legitimate business purposes only; when in doubt, consult a lawyer.

Your feedback

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LinkedIn Posts Scraper	Posts and articles of people and companies