LinkedIn Leads Scraper: Apollo, ZoomInfo & Lusha Alternative

Fresh B2B leads straight from LinkedIn, with live-verified work emails. A LinkedIn scraper with no cookies and no login. Search LinkedIn people and companies by keyword, job title and location, scrape full profiles, company data, jobs and posts from URLs, and get verified work emails. One actor, pay per result.

PNDA · B2B leads suite • LinkedIn, Crunchbase, PitchBook, Shopify stores

LinkedIn Leads Finder ➤ You are here Crunchbase Scraper Investors, VCs, funding rounds & companies PitchBook Scraper Private company data, investors & deals Store Leads Shopify & WooCommerce stores with emails Email Finder Work email from a name + company domain

• 🔒 No cookies, no login, no LinkedIn account. Nothing touches your account, so it can never be restricted or banned.
• 🔎 LinkedIn search without Sales Navigator (mode: "search"): find LinkedIn profiles like "CEO, marketing agency, Paris" or companies like "SaaS, London". A Sales Navigator alternative for lead generation, built on Google x-ray search of public LinkedIn pages.
• 🏢➡️👤 Company → decision makers: find companies, then the CEO / head of sales / recruiter at each one, in the same run.
• 📧 Verified work email (findEmail): name + company → professional email, checked live over SMTP. $9 / 1,000 emails found, charged only when verified.
• 🧩 A LinkedIn API alternative: call it over HTTP from the Apify API, n8n, Make, Zapier, Clay or your own code. No LinkedIn developer app, no partner approval.
• 💸 Pay only for rows you receive. Invalid URLs, dead pages and empty searches are never charged.
• 🆓 Works with a free Apify account too: every mode at the same prices, from your monthly Apify credit (shared daily capacity for free accounts).
• 📦 Export to JSON, CSV, Excel, HTML, XML or stream the dataset straight into your pipeline.

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🆚 Apollo, ZoomInfo & Lusha alternative: fresh leads, not an old database

Lead databases are built once and resold for months: people change jobs, emails start bouncing, and you pay for contacts that no longer exist. This actor works the other way round: every lead is found on LinkedIn at the moment you run it.

	Lead databases (Apollo, ZoomInfo, Lusha...)	This actor
Where the data comes from	A database refreshed from time to time	Live public LinkedIn pages, at run time
Job title and company	Can be months old	What the profile shows today
Work email	Often guessed or stale	Checked live on the mail server, charged only when valid
Bounced addresses	Stay in the list	Addresses reported as bounced are removed automatically
Pricing	Seats, monthly plans, credit packs	Pay per result, no subscription
Search	Their filters, their index	Job title, company, city and keywords, like a LinkedIn search

Typical use: describe your ideal leads ("head of sales, SaaS, London"), get the matching LinkedIn profiles, their full profile and a verified work email, then export to your CRM, Clay, n8n, Make or Zapier.

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🚀 From a LinkedIn search to a verified email, in one run

No URL list needed. Describe who you are looking for, and the actor chains three steps:

1. 🔎 Search: Google x-ray search of public LinkedIn pages finds the matching people (or companies). No LinkedIn account, no cookies.
2. 👤 Profile: each person found is scraped for the full profile (experience, education, current company...).
3. 📧 Verified email: the work email is built from the name and company, then verified live over SMTP.

Example: CEOs of agencies in Paris, with full profiles and verified emails:

{
  "mode": "search",
  "searchType": "people",
  "role": "CEO",
  "location": "Paris",
  "keywords": "agence",
  "maxResults": 20,
  "scrapeResults": true,
  "findEmail": true
}

One row per person (illustrative values, trimmed):

{
  "resultType": "people",
  "linkedinUrl": "https://www.linkedin.com/in/jane-doe",
  "name": "Jane Doe",
  "position": "CEO",
  "company": "Acme Agency",
  "query": "CEO agence Paris site:linkedin.com/in",
  "rank": 1,
  "details": {
    "name": "Jane Doe",
    "position": "CEO at Acme Agency",
    "city": "Paris, Île-de-France, France",
    "current_company": { "name": "Acme Agency", "title": "CEO" },
    "experience": [{ "title": "CEO", "company": "Acme Agency", "start_date": "..." }]
  },
  "email": "jane.doe@acme-agency.fr",
  "email_status": "found",
  "email_confidence": "verified",
  "email_pattern": "first.last",
  "email_domain": "acme-agency.fr",
  "email_domain_source": "guessed-from-company"
}

Each step is billed only for what it returns: $3.50 / 1,000 people found (launch price), $3.50 / 1,000 profiles scraped, $9 / 1,000 verified emails. For 20 CEOs with 8 verified emails: about $0.14. Launch pricing: search results are billed at the profile price until the dedicated search price ($4.90 / 1,000) applies on November 8. Already have LinkedIn URLs? Pick "Scrape LinkedIn URLs" instead.

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💡 Who is it for?

• Sales & SDR teams building lead lists from a LinkedIn search (title + industry + city) without Sales Navigator, then enriching them (job title, company, seniority) before outreach.
• Recruiters pulling full candidate profiles (experience, education) in bulk.
• RevOps / CRM owners refreshing job titles and employers every month.
• Market researchers & investors collecting LinkedIn company data (size, industry, HQ, followers, headcount on LinkedIn).
• Job-market analysts tracking open roles of target companies as hiring signals.
• Social & content teams measuring reactions and comments on posts.
• Data & AI teams feeding LinkedIn data into scoring models, RAG pipelines or agents.

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⚙️ How it works

Two modes, chosen with the first field of the form, "What do you want to do?":

• 🔎 Search LinkedIn (no URL needed) (mode: "search", selected when you open the form): give a job title, a location and keywords (for example CEO / Paris / agence), get LinkedIn profile or company URLs with name, position, company and location. Optionally scrape each result and find its verified email. Launch price: $3.50 / 1,000 results (billed as the profile event) until November 8, then $4.90 / 1,000.
• Scrape LinkedIn URLs (mode: "urls", the default over the API when mode is omitted): pick a content type (Profile, Company, Job or Post), paste LinkedIn URLs, get one full row per URL.

Scrape URLs

URLs that don't match the selected mode are skipped (and listed in the log) before anything happens. URLs that LinkedIn can't serve are saved in the key-value store record FAILED_URLS and are not charged.

Mode	Accepted URLs	What you get
Profile	linkedin.com/in/<handle>	Name, headline, location, followers, connections, about, current company, full experience, education, awards, recent activity & posts, similar profiles
Company	linkedin.com/company/<slug>	Name, industry, company size, headquarters, website, followers, employees on LinkedIn, description, specialties, locations
Job	linkedin.com/jobs/view/<id>	Title, company, location, seniority, employment type, job function, industries, number of applicants, posted date, full description
Post	linkedin.com/posts/... or linkedin.com/feed/update/...	Author, post text (plain + HTML), date, likes, comments, top comments, hashtags, tagged people & companies, images, videos, documents

Country subdomains (fr.linkedin.com, uk.linkedin.com...) and query strings are accepted.

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📥 Input

Field	Type	Required	Description
type	string	✅	Profile (default), Company, Job or Post
urls	array of strings	✅	LinkedIn URLs matching the selected type
findEmail	boolean		Profile mode only, default false. Also finds the person's verified work email (see below)

Example inputs

{
  "type": "Profile",
  "urls": [
    "https://www.linkedin.com/in/satyanadella/",
    "https://www.linkedin.com/in/jeffweiner08/"
  ]
}

Profiles with verified work email:

{
  "type": "Profile",
  "findEmail": true,
  "urls": ["https://www.linkedin.com/in/satyanadella/"]
}

{
  "type": "Company",
  "urls": [
    "https://www.linkedin.com/company/microsoft/",
    "https://www.linkedin.com/company/bereal/"
  ]
}

{ "type": "Job", "urls": ["https://www.linkedin.com/jobs/view/4440458716/"] }

{ "type": "Post", "urls": ["https://www.linkedin.com/posts/reidhoffman_give-people-a-reason-to-want-the-ai-future-activity-7508645307132600321-dOsB"] }

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🔎 Search LinkedIn without cookies (mode: "search")

Find LinkedIn profiles and companies without a LinkedIn account, without cookies and without Sales Navigator. In the form, pick "🔎 Search LinkedIn (no URL needed)": the search fields come right below it.

The pipeline has three steps, each billed only for what it returns:

1. Search (always): a Google x-ray search of public LinkedIn pages (site:linkedin.com/in or site:linkedin.com/company) finds the leads: LinkedIn URL, name, position, company, location.
2. Scrape (scrapeResults, optional): each lead's full profile or company page, same record as URL mode.
3. Email (findEmail, optional, people): the built-in email finder guesses the work email from the name and company, then verifies it live over SMTP. Only verified emails are billed.

Pricing: launch price $3.50 / 1,000 search results (billed as the profile event) until November 8; from then on search results have their own search-result event at $4.90 / 1,000.

Field	Description
searchType	people (profiles, default) or company
keywords	Industry, skills, any words: marketing agency, saas, shopify
role	Job title: CEO, head of sales, recruiter
location	City, region or country: Paris, London, Texas
maxResults	Max leads (default 20, min 5). Google pages hold ~10 results: multiples of 10 work best
findPeopleAtCompanies	Company search: also find people with the role at each company found
peoplePerCompany	5 to 10 profiles per company (default 10)
scrapeResults	Also scrape the full profile / company page of each lead (billed like URL mode)
findEmail	Also find the verified work email of each person found
country, language	Google country (us, fr, gb...) and language (en, fr...)

Example: CEOs of agencies in Paris, with verified emails:

{ "mode": "search", "searchType": "people", "role": "CEO", "keywords": "agency", "location": "Paris", "maxResults": 50, "findEmail": true }

Example: marketing agencies in Lyon, then their CEO:

{ "mode": "search", "searchType": "company", "keywords": "marketing agency", "location": "Lyon", "maxResults": 20, "findPeopleAtCompanies": true, "role": "CEO" }

Output row (real result, trimmed):

{
  "resultType": "people",
  "linkedinUrl": "https://www.linkedin.com/in/valeriebodocco",
  "name": "Valérie Bodocco",
  "position": "CEO",
  "company": "L'Agence de Paris",
  "location": null,
  "title": "Valérie Bodocco - CEO - L'Agence de Paris",
  "snippet": "En immobilier, je dirige depuis 2010 le Groupe L'Agence...",
  "query": "CEO agency Paris site:linkedin.com/in",
  "rank": 1
}

People found through findPeopleAtCompanies also carry sourceCompanyName, sourceCompanyUrl and companyMatch (true when the result mentions the company; false rows are looser Google matches such as former employees or namesakes, and come last).

Empty search? It is broadened for you. When a search finds no lead, it is retried automatically, first without the keywords, then without the location (and without the keywords when a job title remains). Rows from a broadened search carry searchBroadened (e.g. "without keywords \"SaaS\"") and the run status says what was removed. If even that finds nothing, you get one free no-results row: "0 results: try broader keywords, a larger city or another job title". Never charged.

Good to know: search covers what Google indexes of public LinkedIn pages (very broad, but not 100 % of LinkedIn), and name / position / company are parsed from the Google title and snippet. Turn on scrapeResults when you need the full, structured profile.

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📤 Output examples (trimmed)

Profile

{
  "name": "Satya Nadella",
  "first_name": "Satya",
  "last_name": "Nadella",
  "position": "Chairman and CEO at Microsoft",
  "city": "Redmond, Washington, United States",
  "country_code": "US",
  "followers": 12183622,
  "connections": 500,
  "current_company": { "name": "Microsoft", "company_id": "microsoft", "title": "Chairman and CEO" },
  "about": "As chairman and CEO of Microsoft, I define my mission...",
  "experience": [{ "title": "Chairman and CEO", "company": "Microsoft", "start_date": "..." }],
  "education": [{ "title": "The University of Chicago Booth School of Business" }],
  "url": "https://www.linkedin.com/in/satyanadella"
}

With findEmail: true, each profile row gets these extra fields:

{
  "email": "jane.doe@acme.com",
  "email_status": "found",
  "email_confidence": "verified",
  "email_pattern": "first.last",
  "email_domain": "acme.com",
  "email_domain_source": "guessed-from-company"
}

Company

{
  "name": "Microsoft",
  "industries": "Software Development",
  "company_size": "10,001+ employees",
  "headquarters": "Redmond, Washington",
  "website": "https://news.microsoft.com/",
  "followers": 29163922,
  "employees_in_linkedin": 231769,
  "url": "https://www.linkedin.com/company/microsoft"
}

Job

{
  "job_title": "Data Engineer Expérimenté F/H",
  "company_name": "EY",
  "job_location": "Paris, Île-de-France, France",
  "job_seniority_level": "Mid-Senior level",
  "job_employment_type": "Full-time",
  "job_function": "Information Technology",
  "job_num_applicants": 98,
  "job_posted_date": "2026-09-23T08:00:26.424Z",
  "job_summary": "Chez EY, nous sommes « All in » pour façonner votre avenir...",
  "url": "https://www.linkedin.com/jobs/view/4440458716/"
}

Post

{
  "user_id": "reidhoffman",
  "date_posted": "2026-09-23T21:55:45.104Z",
  "post_type": "post",
  "num_likes": 492,
  "num_comments": 151,
  "post_text": "If people can't point to something in their lives that has become easier, more affordable...",
  "url": "https://www.linkedin.com/posts/reidhoffman_give-people-a-reason-to-want-the-ai-future-activity-7508645307132600321-dOsB"
}

Every row also contains the original input and a timestamp. Field names are stable, so you can map them once in your CRM or spreadsheet.

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📧 Find verified work emails (findEmail)

Turn a list of LinkedIn profile URLs into a list of verified professional emails, in the same run.

1. The actor takes the person's first and last name and current company from the profile.
2. The company domain comes from the profile when it is there; otherwise it is deduced from the company name (only domains that actually receive email are kept).
3. The usual corporate patterns (first.last, first, flast, firstlast...) are tested one by one with a live SMTP check, stopping at the first verified address.

email_status	Meaning	Charged?
found	Mailbox verified (email_confidence: "verified")	✅ email-found
catch-all	The domain accepts every address: email is the most likely pattern, unverified (email_confidence: "catch-all")	❌ free
not-found	No tested pattern exists	❌
unknown	The mail server gave no clear answer	❌
no-mx / no-company	No mail domain for the current company	❌

The profile itself is always delivered and billed as a normal profile, whatever the email result.

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💰 Pricing (pay per result)

Store discounts: on Apify Silver, Gold, Platinum and Diamond plans, some events cost up to 20 % less. The Pricing tab of the Store page shows the exact price for each plan.

You pay a fixed price per LinkedIn record actually returned. No start fee, no monthly rental, no charge for failed URLs.

Event	What triggers it	Price
profile	1 profile returned	$3.50 / 1,000
company	1 company page returned	$6.49 / 1,000
job	1 job listing returned	$5.90 / 1,000
post	1 post returned	$5.90 / 1,000
search-result	1 LinkedIn profile or company found by a search (mode: "search")	$4.90 / 1,000
email-found	1 verified work email found (findEmail)	$9.00 / 1,000

Example run	Records	Approx. cost
Quick test	10 profiles	~$0.035
Lead list	1,000 profiles	~$3.50
Account list	1,000 companies	~$6.49
Lead list + emails	1,000 profiles, findEmail on, 400 verified emails	~$3.50 + $3.60 = ~$7.10
LinkedIn search	1,000 people found by keyword + title + city	~$4.90
Search + emails	1,000 people found, findEmail on, 350 verified emails	~$4.90 + $3.15 = ~$8.05

Works with a free Apify account too. Free-plan accounts can use every feature at the same per-result prices, paid from their monthly Apify credit. Limit: free accounts share a daily capacity; once it is used up, the remaining inputs are skipped with one free-plan-limit row (not charged). Retry the next day, or switch to a paid Apify plan to run without this limit.

Set Maximum cost per run in the run options to cap your spend: duplicate URLs are removed and the actor only scrapes as many URLs as your limit can pay for; the rest are skipped and listed in the log. With findEmail, each URL reserves the price of a profile and an email. In search mode, a Google page is only requested when your limit still covers at least 5 more results.

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🔌 Use it as a LinkedIn API

Run it synchronously and get the rows in one HTTP call:

curl -X POST "https://api.apify.com/v2/acts/pnda~linkedin-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"type":"Company","urls":["https://www.linkedin.com/company/microsoft/"]}'

Or use the Apify client for JavaScript/Python, the n8n / Make / Zapier integrations, webhooks, or Apify Schedules for recurring refreshes.

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🚀 Why this actor

• ✅ Search + scrape + email in one actor: find LinkedIn profiles, scrape profiles, company data, jobs and posts, get verified emails. One integration instead of five.
• ✅ No cookies, no login: zero risk for your LinkedIn account.
• ✅ Bulk by URL: hundreds of URLs per run, one clean row per URL.
• ✅ Rich data: full career history, company headcount, applicants count, post engagement.
• ✅ Fair billing: invalid and dead URLs are never charged.

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❓ FAQ

Do I need a LinkedIn account, cookies or a proxy? No.

How fresh is the data? Records are collected when you run the actor, typically within seconds to a few minutes per batch. A profile or company page already collected in the last 30 days may be served from our result cache: faster, same price, same record.

What if a URL fails? It is not charged. The error (e.g. dead_page) is stored in the key-value store record FAILED_URLS.

Does it return emails? Yes, for profiles, if you turn on findEmail. The email is built from the name and current company and verified over SMTP; you pay $9 / 1,000 only for verified emails. Catch-all guesses are returned for free, clearly flagged.

Can I use it on the free Apify plan? Yes. It works with a free Apify account too, at the same prices, paid from your monthly Apify credit. Free accounts share a daily capacity: when it is reached, the inputs left get a free-plan-limit row and are not charged. Paid Apify plans have no such limit (pricing).

Can I search LinkedIn by keyword without cookies? Yes: mode: "search" finds LinkedIn profiles and companies by keyword, job title and location through Google, with no LinkedIn login, no cookies and no Sales Navigator subscription. You pay $4.90 / 1,000 results found; empty searches are free.

Is it a Sales Navigator alternative? For prospect lists, yes: search by title + industry + city, get profile URLs, names, positions and companies, then verified emails. It does not send connection requests or messages.

Is it an Apollo, ZoomInfo or Lusha alternative? For LinkedIn leads, yes. Apollo, ZoomInfo and Lusha sell access to a contact database built in advance; this actor reads public LinkedIn pages when you run it, so job titles and companies are current, and each work email is verified live before you pay for it. No seats, no monthly plan: you pay per lead.

Is it legal? It only collects publicly available data. You are responsible for using it in compliance with the privacy laws of your jurisdiction. Do not use personal data without a legitimate purpose.

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Related actors

• Email Finder: Already have names and company domains? Find work emails without running a LinkedIn search.
• Email Verifier: Verify a whole email list before your outreach, $0.95 per 1,000.
• Email Extractor: Have company websites? Extract the emails, phones and social links they publish.
• Crunchbase API: Targeting startups? Find funded companies and their investors, then their people here.
• PitchBook Scraper: Need private company data (total raised, latest deal, investors) for your accounts.

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▶️ Start now

Search LinkedIn or paste your URLs, click Run, export your dataset. LinkedIn data and leads on tap: no cookies, no login.