LinkedIn Email Scraper — Profile + Email 📧 No Cookies

LinkedIn Email Scraper — Profile + Email Finder ✅ No Cookies

Find a LinkedIn profile and work email from a profile URL or username — full name, headline, location, current company, experience, education and featured posts, plus the person's email when available. Powered by the Neuralverge API. No cookies or account required, and you pay per completed lookup — matched or not; failed runs are never charged.

Ideal for sales prospecting, recruiting outreach, lead enrichment and CRM hydration.

✨ Why this Actor

• 📧 Profile + email in one call — resolve the person and their work email together, so you can act on the lead immediately.
• 💸 Simple, predictable billing — no run fee and no start fee. A completed lookup is billed as one profile, matched or not; a failed run costs $0.00.
• 🍪 No cookies, login or account — never share LinkedIn credentials or risk account restrictions. Everything runs on the Neuralverge backend.
• ⚡ Real-time & structured — fresh data each run, ready for a spreadsheet, CRM, ATS or AI pipeline.

🔧 How it works

1. Provide a LinkedIn profile URL or username — a full URL (https://www.linkedin.com/in/williamhgates) or just the handle (williamhgates).
2. Run the Actor. Finding the profile and email happens on the Neuralverge backend.
3. Get one flat dataset row per lookup — 45 columns, all at the top level (url, id, publicIdentifier, linkedinUrl, fullName, firstName, …). Export to CSV, JSON or Excel, or pull it over the Apify API.

If the profile can't be resolved, it comes back as one no result row that echoes the profile you submitted, billed like any other row.

Input

One profile per run.

Field	Type	Notes
profileUrl	string	A LinkedIn profile URL or bare username.
includeEmail	boolean	Return the email when available (default true).

{
  "profileUrl": "https://www.linkedin.com/in/williamhgates",
  "includeEmail": true
}

What you'll receive

One flat row per lookup. Every field sits at the top level of the row, so the Output tab shows a single table with all 45 columns — there are no views to switch between. Exports (CSV, JSON, XML, Excel) contain exactly the same fields.

Columns: url, id, publicIdentifier, linkedinUrl, fullName, firstName, lastName, headline, summary, title, company, companyLinkedinUrl, companyId, companyLogoUrl, tenureAtCompany, location, city, country, countryCode, postalCode, email, followerCount, connectionsCount, registeredAt, premium, openToWork, isCreator, isInfluencer, isTopVoice, memorialized, primaryLocale, pictureUrl, backgroundPictureUrl, school, schoolLinkedinUrl, schoolLogoUrl, skills, certifications, languages, causes, posts.

Lists — creatorHashtags, experience, education, featured — come back as arrays. The table renders each as an expandable "N items" cell; a CSV/JSON/Excel export carries them in full.

Nulls are normal. The column set is the same on every run, so a field the source does not expose for this profile comes back null rather than disappearing — a spreadsheet or CRM mapping built on one run keeps working on the next.

When nothing is found

A lookup that runs but resolves no profile still returns a row, so a batch never silently loses an input:

Column	Value
url	the profile URL or username you submitted, echoed back exactly
found	false
message	why nothing was returned

Filter these out with found != false (or drop rows where message is set). This row is billed as one result — see Pricing.

Example output (real run)

A real dataset row, shown in full.

{
  "url": "https://www.linkedin.com/in/williamhgates",
  "id": "ACoAAA8BYqEBCGLg_vT_ca6mMEqkpp9nVffJ3hc",
  "publicIdentifier": "williamhgates",
  "linkedinUrl": "https://linkedin.com/in/williamhgates",
  "fullName": "Bill Gates",
  "firstName": "Bill",
  "lastName": "Gates",
  "headline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
  "summary": "Chair of the Gates Foundation. Founder of Breakthrough Energy. Co-founder of Microsoft. Voracious reader. Avid traveler. Active blogger.",
  "title": "Co-chair",
  "company": "Gates Foundation",
  "companyLinkedinUrl": "https://www.linkedin.com/company/gates-foundation",
  "companyId": "8736",
  "companyLogoUrl": "https://media.licdn.com/dms/image/v2/D560BAQEgMqqFTd40Tg/company-logo_400_400/company-logo_400_400/0/1736784969376/bill__melinda_gates_foundation_logo?e=1785974400&v=beta&t=EMgLfYrFsnEhzv79P9Cf7A5qj3R4Xi_XmKpFjG7VhoQ",
  "tenureAtCompany": "2000 - Present · 26 yrs 7 mos",
  "location": "Seattle, Washington, United States",
  "city": "Seattle, Washington",
  "country": "United States",
  "countryCode": "US",
  "postalCode": null,
  "email": "bill.gates@gatesfoundation.org",
  "followerCount": 40523613,
  "connectionsCount": 8,
  "registeredAt": "2013-05-02T19:09:40.840Z",
  "premium": true,
  "openToWork": false,
  "isCreator": true,
  "isInfluencer": true,
  "isTopVoice": true,
  "memorialized": false,
  "primaryLocale": "en_US",
  "pictureUrl": "https://media.licdn.com/dms/image/v2/D5603AQF-RYZP55jmXA/profile-displayphoto-shrink_800_800/B56ZRi8g.aGsAc-/0/1736826818808?e=1785974400&v=beta&t=N85D86MRjsX6n0VL-gTtB00I-Wp2OVv2TlubmOaqOOI",
  "backgroundPictureUrl": "https://media.licdn.com/dms/image/v2/D5616AQEjhPbTCeblYg/profile-displaybackgroundimage-shrink_350_1400/B56ZcytR5SGsAg-/0/1748902420393?e=1785974400&v=beta&t=tfuFq3xwEhcTj0loUnzCS9k7RCWVWhP4wFovqJCnL6k",
  "school": "Harvard University",
  "schoolLinkedinUrl": "https://www.linkedin.com/school/harvard-university",
  "schoolLogoUrl": "https://media.licdn.com/dms/image/v2/C4E0BAQF5t62bcL0e9g/company-logo_400_400/company-logo_400_400/0/1631318058235?e=1785974400&v=beta&t=nAj6dooCh1EzFOlh6yU7995eP9J3VO9X5Go9Q19Ea1M",
  "skills": null,
  "creatorHashtags": [
    "books",
    "climatechange",
    "healthcare",
    "innovation",
    "sustainability"
  ],
  "experience": [
    {
      "title": "Co-chair",
      "company": "Gates Foundation",
      "duration": "2000 - Present · 26 yrs 7 mos",
      "startDate": {
        "year": 2000
      },
      "isCurrent": true,
      "companyLinkedinUrl": "https://www.linkedin.com/company/8736/",
      "companyLogoUrl": "https://media.licdn.com/dms/image/v2/D560BAQEgMqqFTd40Tg/company-logo_400_400/company-logo_400_400/0/1736784969376/bill__melinda_gates_foundation_logo?e=1785974400&v=beta&t=EMgLfYrFsnEhzv79P9Cf7A5qj3R4Xi_XmKpFjG7VhoQ",
      "companyId": "8736"
    },
    {
      "title": "Founder",
      "company": "Breakthrough Energy",
      "duration": "2015 - Present · 11 yrs 7 mos",
      "startDate": {
        "year": 2015
      },
      "isCurrent": true,
      "companyLinkedinUrl": "https://www.linkedin.com/company/19141006/",
      "companyLogoUrl": "https://media.licdn.com/dms/image/v2/D560BAQFRMYiQN7-2kA/company-logo_400_400/B56ZoI4SGPI0AY-/0/1761085563539/breakthrough_energy_logo?e=1785974400&v=beta&t=hsODZZCXbWukeK0n5APAU3p9axKgCu2N3m50w1ITcUU",
      "companyId": "19141006"
    },
    {
      "title": "Co-founder",
      "company": "Microsoft",
      "duration": "1975 - Present · 51 yrs 7 mos",
      "startDate": {
        "year": 1975
      },
      "isCurrent": true,
      "companyLinkedinUrl": "https://www.linkedin.com/company/1035/",
      "companyLogoUrl": "https://media.licdn.com/dms/image/v2/D560BAQH32RJQCl3dDQ/company-logo_400_400/B56ZYQ0mrGGoAc-/0/1744038948046/microsoft_logo?e=1785974400&v=beta&t=65JciKJix5JQ1YSt1J4xjguhNriK6rMPH5BN7ZKygjg",
      "companyId": "1035"
    }
  ],
  "education": [
    {
      "school": "Harvard University",
      "duration": "1973 - 1975",
      "schoolLinkedinUrl": "https://www.linkedin.com/company/1646/",
      "schoolLogoUrl": "https://media.licdn.com/dms/image/v2/C4E0BAQF5t62bcL0e9g/company-logo_400_400/company-logo_400_400/0/1631318058235?e=1785974400&v=beta&t=nAj6dooCh1EzFOlh6yU7995eP9J3VO9X5Go9Q19Ea1M",
      "startDate": {
        "year": 1973
      },
      "endDate": {
        "year": 1975
      },
      "schoolId": "1646"
    },
    {
      "school": "Lakeside School",
      "schoolLinkedinUrl": "https://www.linkedin.com/company/30288/",
      "schoolLogoUrl": "https://media.licdn.com/dms/image/v2/D560BAQGFmOQmzpxg9A/company-logo_400_400/company-logo_400_400/0/1683732883164/lakeside_school_logo?e=1785974400&v=beta&t=knkWUDWVrmtFi4ti2pLrPEF65jt9ychrd2LZvmmkzJY",
      "schoolId": "30288"
    }
  ],
  "certifications": null,
  "languages": null,
  "causes": null,
  "posts": null,
  "featured": [
    {
      "type": "post",
      "title": "What the Gates Foundation hopes to accomplish over the next 20 years",
      "description": "Looking ahead to the next 20 years, the Gates Foundation has three major aspirations to guide our work: \n\n1. No mom, child, or baby dies of a preventable cause. \n2. The next generation grows up in a world without deadly infectious diseases. \n3. Hundreds of millions of people break free from poverty, putting more countries on a path to prosperity. \n \nI know that with the right commitment of resources, a fairer and healthier future for everyone is just on the horizon.",
      "url": "https://www.linkedin.com/feed/update/urn:li:activity:7407934241675608064?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7407934241675608064%29",
      "imageUrl": "https://media.licdn.com/dms/image/v2/D5612AQE-eZUAKTbmyQ/article-cover_image-shrink_720_1280/B56Zs5D6pMKIAI-/0/1766188887129?e=1785974400&v=beta&t=3d5HsoBUdm9k6WzSS1G52fA0mAa_IUcRFS0rIPj3qwk",
      "socialCounts": {
        "likes": 5478,
        "comments": 1430,
        "reactionCounts": [
          {
            "type": "like",
            "count": 4684
          },
          {
            "type": "empathy",
            "count": 340
          },
          {
            "type": "appreciation",
            "count": 287
          },
          {
            "type": "praise",
            "count": 115
          },
          {
            "type": "interest",
            "count": 44
          },
          {
            "type": "entertainment",
            "count": 8
          }
        ]
      }
    },
    {
      "type": "post",
      "title": "How to get the world back on track and enter a new era of unprecedented progress",
      "description": "I have always been an optimist. These days, though, my optimism comes with footnotes. For the first time this century, the world slipped backwards on key measures like childhood mortality in 2025, and if we don’t make the right decisions, this trend will continue.  At the same time, I also believe that, within the next decade, the world will not only get back on track but enter a new era of unprecedented progress. As we start 2026, I’m thinking about how the year ahead will position us for decades to come.",
      "url": "https://www.linkedin.com/feed/update/urn:li:activity:7416559967329103872?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7416559967329103872%29",
      "imageUrl": "https://media.licdn.com/dms/image/v2/D5612AQEgG5WUmlF97w/videocover-high/B56ZuzdRvxHcBc-/0/1768242356655?e=1785974400&v=beta&t=0ykgOYMfbiU_SvSwhCPwmtqtfKP_eLDRgLNaBWgToCs",
      "socialCounts": {
        "likes": 5956,
        "comments": 1082,
        "reactionCounts": [
          {
            "type": "like",
            "count": 5153
          },
          {
            "type": "empathy",
            "count": 298
          },
          {
            "type": "interest",
            "count": 297
          },
          {
            "type": "appreciation",
            "count": 127
          },
          {
            "type": "praise",
            "count": 69
          },
          {
            "type": "entertainment",
            "count": 12
          }
        ]
      }
    }
  ]
}

Pricing

Pay per event — $0.010 per profile ($10 per 1,000) written to the dataset. There is no run fee and no start fee.

Event	Price	Charged
Actor start	free	never
Failed run — invalid input, API error, timeout	free	never
Row written to the dataset	$0.010 ($10 / 1,000)	every row, including the "no result" row

A completed lookup is billed as one profile, matched or not. When the source returns nothing, the Actor writes one explicit no-result row — the query you submitted plus found: false and a message explaining it — and that row is charged at the normal per-profile price. A run that fails (missing input, bad key, upstream error) writes no row and costs $0.00.

Pricing is on top of your Apify platform usage.

Rate limit

There is a ceiling on how fast one Apify account can pull from the Neuralverge backend: 10 requests per second for this Actor, counted separately from the other Neuralverge Actors. One run is normally one request, so this is about how many runs you start at once, not about the size of a single run — at typical run times that is dozens of runs in flight at once, which is well above ordinary use.

Updated August 2026: this ceiling was doubled from 5 to 10 requests per second. Bulk jobs that used to hit 429s now go through.

Above the ceiling the backend answers HTTP 429. The Actor waits out the Retry-After it asks for and retries a few times before giving up; a run that does give up writes no row and is not charged.

If you need a higher rate for a bulk job, get in touch.

Free plan limits

Users on any paid Apify plan are not affected by anything in this section.

On the Apify Free plan this Actor may be started 5 time(s) per calendar month per user. A run that finds nothing still counts, because the lookup is performed either way. Every Neuralverge Actor carries its own allowance — running one never uses up another's. When a limit is reached the Actor stops gracefully with a status message naming it; everything resets on the 1st of every month, and any paid Apify plan removes all of it.

Integrations & API

Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the Apify API. The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any MCP client to give an AI agent live people data.

FAQ

Do I need a LinkedIn account or cookies? No. Everything runs on the Neuralverge backend — you never provide credentials or a session.

Can I pass a username instead of a URL? Yes — a bare handle like williamhgates works as well as a full profile URL.

Is an email always returned? No. The email is included only when it can be found for that profile; the rest of the profile is still returned.

Am I charged if a profile isn't found? Yes — a lookup that ran is billed as one profile even when it matched nothing; you get a no result row that says so. A run that fails (missing input, API error, timeout) writes no row and costs $0.00.

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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.