Pricing

from $6.20 / 1,000 linkedin person scrapeds

LinkedIn People + Email Scraper (no cookies)

Bulk-scrape public LinkedIn profiles and find verified work emails — name, headline, company, location + SMTP-verified email. No login, no cookies, no API key.

Pricing

from $6.20 / 1,000 linkedin person scrapeds

Rating

0.0

(0)

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MYM

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Monthly active users

5 days ago

Last modified

What can LinkedIn People Scraper do? {#what-can-linkedin-people-scraper-do}

LinkedIn People Scraper takes a list of public LinkedIn profile URLs and returns structured people records — and, optionally, a verified work email for each person. It is built for sales, recruiting, and research teams who need to scrape LinkedIn people and enrich contacts at scale without touching a browser, a login, or a cookie.

Feed it profile URLs like https://www.linkedin.com/in/williamhgates, and it gives you back a clean JSON row per person: full name, headline, current company, location, profile image, and a work-email block with the best candidate, an SMTP verification status, and a ranked list of fallbacks. It only collects publicly available data, runs entirely in the cloud, and needs no API key and no login — no cookies or account required. Get your first results free in under 2 minutes.

✅ Scrape LinkedIn people in bulk — paste a handful of URLs or up to 500 per run.
✅ Find & verify work emails — SMTP-checked, with a confidence score.
🗂️ Clean, structured records — flat JSON ready for a CRM or spreadsheet.
💬 Ranked email candidates — fallbacks ready when the first send bounces.
⚡ Zero setup — no proxies, no session cookies, no external keys.
🚀 Fast, fresh data — parallel fetching finishes large lists in seconds.

✅ Verified work-email discovery

For every profile, the LinkedIn People Scraper can derive the person's likely work email using company-domain pattern matching, then confirm it over SMTP. Each result carries an emailStatus of verified, catch-all, or unverified, plus an emailConfidence score, so you know exactly how much to trust each address before you send.

🗂️ Clean, structured people records

No parsing HTML yourself. Each person comes back as a flat, predictable object — fullName, firstName, lastName, headline, company, location, image, and profileUrl — ready to drop straight into a CRM, spreadsheet, or database.

💬 Ranked email candidates

Beyond the single best email, the actor returns an emailCandidates array of every plausible address pattern for the person and domain (for example first.last@, firstlast@, flast@). If your first send bounces, the fallbacks are already there.

📊 Bulk mode — scrape LinkedIn people at scale

Point it at a handful of URLs or up to 500 profiles per run in parallel "mass mode." Tune throughput with a single concurrency field. There are no limitations on requests — it is designed for enriching entire prospect lists in a single pass.

🔄 Domain override for accuracy

Know the target company's email domain already? Pass companyDomain (e.g. microsoft.com) to force it for the whole run instead of auto-detecting per profile — perfect for enriching one company's org chart.

There is nothing to configure. No LinkedIn account, no session cookies, no proxy setup, and no external API keys. The actor handles connectivity, rotation, and retries for you, so you can go beyond the limitations of the official LinkedIn API. Paste URLs, hit run.

Use LinkedIn People Scraper with AI agents — Claude, ChatGPT & Cursor (MCP) {#use-linkedin-people-scraper-with-ai-agents-mcp}

This actor is fully compatible with the Apify MCP server, so AI agents and assistants can call it as a tool and scrape LinkedIn people on demand.

Claude (Desktop, Code, or the API) — add the Apify MCP server and ask Claude to "enrich these 40 LinkedIn URLs and find verified emails."
ChatGPT / Codex — expose the actor as a tool and let the model build contact lists for you.
Cursor — call the scraper from inside your editor while you build outreach automations.

Once the data lands in an Apify dataset, you can pipe it onward through MCP connectors and no-code tools — Slack, Notion, Airtable, Google Sheets, Zapier, Make, and n8n — to update your CRM, notify a channel, or trigger a sequence automatically.

How to scrape LinkedIn people and emails {#how-to-scrape-linkedin-people-and-emails}

Scraping LinkedIn people takes a few clicks — no login and no API key:

Open the LinkedIn People Scraper on Apify (or add it to your account for free).
Paste one or more public LinkedIn profile URLs into the profileUrls field.
Leave findEmail on (default) to also derive and SMTP-verify a work email for each person.
(Optional) Set companyDomain if you already know the company's email domain.
(Optional) Adjust maxItems (up to 500) and concurrency (up to 12) for large lists.
Click ▶ Start / Save & Run.
When the run finishes, export the scraped data as JSON, CSV, Excel, or XML, or pull it via the API.

No account, no cookies, and no API key required — the actor takes care of everything.

What data can you scrape from LinkedIn people? {#what-data-can-you-scrape-from-linkedin-people}

Each profile produces one dataset item with the following fields:

Field	Type	Description
`ok`	boolean	Whether the profile was processed successfully.
`fullName`	string	Person's full display name.
`firstName`	string	Parsed first name.
`lastName`	string	Parsed last name.
`headline`	string	LinkedIn headline / current role text.
`company`	string	Current company name.
`companyLinkedIn`	string / null	Company's LinkedIn URL, when available.
`location`	string	Person's location.
`image`	string / null	Profile image URL, when available.
`profileUrl`	string	Canonical LinkedIn profile URL.
`inputUrl`	string	The URL you supplied (for matching back to your list).
`found`	boolean	Whether a work email was found.
`email`	string	Best / recommended work email.
`emailStatus`	string	`verified`, `catch-all`, or `unverified`.
`emailConfidence`	string	Confidence in the chosen email (`high` / `medium` / `low`).
`emailDomain`	string	Domain used for email derivation.
`emailSource`	string	How the email was derived (e.g. `smtp-pattern`).
`emailCandidates`	array	Ranked list of all plausible email addresses.

Use cases for scraping LinkedIn people

B2B lead enrichment — turn a list of prospect profile URLs into contactable records with verified emails.
Outbound sales prospecting — build targeted contact lists for cold email and multichannel outreach.
Recruiting & sourcing — enrich candidate shortlists with current role, company, location, and email.
CRM hygiene — refresh stale contacts and fill in missing email addresses.
Account-based marketing — enrich an entire target company's people using the companyDomain override.
Market & talent research — collect structured people data across an industry or region.
Competitor analysis — map the teams and hires behind competing companies.
Data appending — append verified emails to existing spreadsheets of LinkedIn URLs.

Input examples

All examples use the real input field names from the actor's schema.

Scrape a few LinkedIn people with email discovery (default)

{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/satyanadella"
  ],
  "findEmail": true
}

Scrape LinkedIn people data only (skip email finding)

{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates"
  ],
  "findEmail": false
}

Force a specific company email domain

Use this when you are enriching people who all work at the same company:

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella"
  ],
  "findEmail": true,
  "companyDomain": "microsoft.com"
}

Bulk mode — scrape a large list of LinkedIn people at once

{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/satyanadella",
    "https://www.linkedin.com/in/jeffweiner08",
    "https://www.linkedin.com/in/reidhoffman"
  ],
  "findEmail": true,
  "maxItems": 500,
  "concurrency": 12
}

Balanced throughput for medium lists

{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/satyanadella"
  ],
  "findEmail": true,
  "maxItems": 100,
  "concurrency": 8
}

Input parameters reference

Field	Type	Default	Description
`profileUrls`	array (required)	—	Public LinkedIn profile URLs to scrape.
`findEmail`	boolean	`true`	Derive and SMTP-verify a work email for each person.
`companyDomain`	string	(auto)	Force a specific company email domain for all profiles in the run.
`maxItems`	integer	`100`	Max profiles per run — up to 500 (mass mode, parallel).
`concurrency`	integer	`8`	How many profiles to fetch in parallel (1–12; higher = faster).

Limiting results {#limits}

maxItems — caps how many profiles a single run will process. Default is 100; you can raise it up to 500 for mass enrichment, or lower it to control cost on small tests.
concurrency — controls how many profiles are fetched in parallel (1–12, default 8). Higher values finish large lists faster.

To run a quick, cheap test, set maxItems to a small number and pass just one or two URLs.

Output example {#output-example}

A single dataset item looks like this (real sample):

{
  "ok": true,
  "email": "bill.gates@gatesfoundation.org",
  "found": true,
  "image": null,
  "company": "Gates Foundation",
  "fullName": "Bill Gates",
  "headline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
  "inputUrl": "https://www.linkedin.com/in/williamhgates",
  "lastName": "Gates",
  "location": "Seattle",
  "firstName": "Bill",
  "profileUrl": "https://www.linkedin.com/in/williamhgates",
  "emailDomain": "gatesfoundation.org",
  "emailSource": "smtp-pattern",
  "emailStatus": "catch-all",
  "companyLinkedIn": null,
  "emailCandidates": [
    "bill.gates@gatesfoundation.org",
    "billgates@gatesfoundation.org",
    "bgates@gatesfoundation.org",
    "bill_gates@gatesfoundation.org",
    "b.gates@gatesfoundation.org",
    "gatesb@gatesfoundation.org",
    "bill@gatesfoundation.org"
  ],
  "emailConfidence": "low"
}

How much does it cost to scrape LinkedIn people? {#how-much-does-it-cost-to-scrape-linkedin-people}

This actor uses a simple, pay-per-result model — you are billed for the profiles you enrich, not for idle compute time. Because it fetches profiles in parallel and returns compact structured records, runs are fast and cost-efficient even for large lists. Get your first results free in under 2 minutes on Apify's free plan.

To keep costs predictable:

Start with a small maxItems value to validate your URLs.
Turn off findEmail if you only need people data (email verification is the heavier step).
Batch your list into a single run rather than many one-off runs.

See the live per-result price on the actor's Apify page.

Integrate LinkedIn people data with n8n, Zapier, and Make {#integrations}

Run the actor and get results directly from the Apify API. Use the actor path myagizm~linkedin-people-scraper.

Synchronous — run and get dataset items in one call

curl -X POST "https://api.apify.com/v2/acts/myagizm~linkedin-people-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "profileUrls": [
      "https://www.linkedin.com/in/williamhgates"
    ],
    "findEmail": true
  }'

Asynchronous — start a run, then fetch results

# 1) Start a run
curl -X POST "https://api.apify.com/v2/acts/myagizm~linkedin-people-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "profileUrls": [
      "https://www.linkedin.com/in/williamhgates",
      "https://www.linkedin.com/in/satyanadella"
    ],
    "findEmail": true,
    "maxItems": 100
  }'

# 2) Fetch the run's dataset items when it finishes
curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_APIFY_TOKEN&clean=true&format=json"

You can wire these calls into Make, Zapier, n8n, Slack, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, and Google Drive to enrich leads and push contacts automatically. AI agents can do the same through the Apify MCP server.

Support {#support}

Questions, edge cases, or a field you'd like added? Open an Issue on the actor's Apify page and we'll respond. We actively maintain the scraper and welcome feedback on new fields and improvements.

Actor page: https://apify.com/myagizm/linkedin-people-scraper
Issues: use the Issues tab on the actor page
API reference: https://apify.com/myagizm/linkedin-people-scraper/api

FAQ — scraping LinkedIn people {#faq}

Is it legal to scrape LinkedIn people?

The actor only accesses publicly available profile information. You are responsible for using the data in compliance with applicable laws (such as GDPR/CCPA) and LinkedIn's terms. Use it for legitimate business purposes like sales, recruiting, and research.

No. There is no login, no session cookie, and no API key. Paste public profile URLs and run — no cookies or account required.

Can I use LinkedIn People Scraper with the Apify API?

Yes. Start runs and fetch datasets through the Apify API using the actor path myagizm~linkedin-people-scraper. Sync and async examples are shown above.

Can I scrape LinkedIn people through an MCP server (AI agents)?

Yes. The actor works with the Apify MCP server, so Claude, ChatGPT, and Cursor can call it as a tool to scrape and enrich people on demand.

Do I need proxies to scrape LinkedIn people?

No. The actor handles connectivity, rotation, and retries for you — nothing to configure and no proxies to bring.

Can I integrate LinkedIn people data with other apps?

Yes. Push results into Make, Zapier, n8n, Slack, Google Sheets, Airtable, Notion, and more via the API, webhooks, or MCP connectors.

Can I export scraped LinkedIn people to CSV, Excel, or JSON?

Yes. Results are stored in an Apify dataset and can be exported to JSON, CSV, Excel, or XML, or pulled via the API.

Can I scrape multiple LinkedIn people at once?

Yes — up to 500 profiles per run via the maxItems field, processed in parallel. Set concurrency (up to 12) to control speed. There are no limitations on the number of runs.

Can I schedule the LinkedIn People Scraper?

Yes. Use Apify Schedules to run enrichment daily, weekly, or on any cron you like.

Can I scrape data from private LinkedIn accounts?

No. The actor only works with public LinkedIn /in/ profiles. Private or restricted profiles may return limited or no data.

How accurate are the emails?

Each email carries an emailStatus (verified, catch-all, or unverified) and an emailConfidence score. Verified means the address was confirmed over SMTP. Catch-all means the domain accepts all addresses, so treat it as probable, not guaranteed. Always check these fields before sending.

What is the `emailCandidates` list for?

It's a ranked set of every plausible email pattern for the person and domain. If the primary email bounces, use the next candidate as a fallback.

Can I skip email finding and just get profile data?

Yes — set findEmail to false. This is faster and cheaper when you only need name, headline, company, and location.

Can I force a specific email domain?

Yes. Set companyDomain (e.g. microsoft.com) and it applies to every profile in the run, overriding auto-detection.

Can I match results back to my input list?

Yes — every item includes inputUrl, the exact URL you supplied, so you can join results back to your source rows.

How fast is it?

It fetches profiles in parallel, so large lists finish quickly. Increase concurrency for more throughput; lower it if you want gentler runs. Fast, fresh data every run — no caching.

Want other LinkedIn data? {#want-other-linkedin-data}

Scrape more of LinkedIn with the rest of the myagizm LinkedIn family — same no-login, no-API-key approach:

LinkedIn Profile Scraper — full, detailed single-profile data (experience, education, skills).
LinkedIn Company Scraper — company pages: size, industry, headquarters, and more.
LinkedIn Profile Posts Scraper — a person's recent posts and activity.
LinkedIn Jobs Scraper — job listings with titles, companies, locations, and links.

linkedin email finder · linkedin people scraper · b2b email list builder · find work emails linkedin · decision maker email finder · linkedin lead generation · sales prospecting tool · linkedin contact enrichment · email finder api · linkedin outreach list · x402 actor · ai agent scraper no account · pay with usdc api · mcp scraper for agents

Run it from an AI agent — no Apify account needed (x402) {#x402}

This actor accepts agentic payments over the open x402 protocol. An AI agent can pay for a run in USDC on Base and get the data without an Apify account, a credit card, or an API key:

# one-time: wallet + prepaid token (agent side)
npx -y awal auth login <email>
npx awal x402 pay 'https://agi.apify.com/protocols/x402/prepaid-tokens?amount=1&currency=usd' --max-amount 1000000 --json
# then use the returned token exactly like an Apify API token
curl "https://api.apify.com/v2/acts/myagizm~linkedin-people-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $PREPAID_TOKEN" -H 'Content-Type: application/json' -d '{INPUT}'

Why it works here: this actor is pay per event and runs with limited permissions, the two conditions x402 requires. You are charged per result, so an agent pays only for the rows it receives. The prepaid token is a hard spending cap and expires 14 days after purchase.

Disclaimer

This is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn. All product names, logos, and brands are property of their respective owners. Use this actor only to collect publicly available data and in compliance with applicable laws and platform terms.

Resources {#resources}

Apify API reference — run actors and fetch datasets programmatically.
Apify MCP server — connect this actor to Claude, ChatGPT, and Cursor.
Dataset export docs — export results to JSON, CSV, Excel, and more.
Apify Schedules — automate recurring runs.
Actor page — try it now and get your first results free in under 2 minutes.

中文说明 —— LinkedIn 人员 + 邮箱抓取工具

免登录抓取 LinkedIn 公开数据 —— 批量抓取公开个人资料，并可选查找工作邮箱。不需要 API Key、不需要 OAuth 应用、不需要登录或 Cookie。结果可导出为 JSON、CSV、Excel、XML，也可通过 Apify API 定时运行并接入 n8n、Zapier、Make 等工具。

两分钟内免费拿到第一批数据 —— 填入内容、点击 Start 即可。无需配置，试用不需要信用卡。

能做什么

📧 可选邮箱查找（findEmail），直接产出可外呼的名单。
👤 完整公开资料：姓名、头衔、公司、地区。
🧾 邮箱状态字段，区分已验证与推测结果。
🧑‍🤝‍🧑 批量处理大量主页链接。
🚫 不使用你的 LinkedIn 账号，无封号风险。
📤 导出 JSON / CSV / Excel / XML。

谁在用

💼 B2B 外呼团队 —— 直接生成带邮箱的名单。
🧑‍💼 招聘团队 —— 联系候选人。
📊 增长团队 —— 构建 ICP 名单。
🗂️ 数据运营 —— 补全 CRM 联系字段。

可以抓取哪些数据

字段	类型	说明
`ok`	boolean	该行是否成功提取
`fullName`	string	姓名
`firstName`	string	名
`lastName`	string	姓
`headline`	string	一句话职业头衔
`company`	string	当前公司
`profileUrl`	string	个人主页链接
`inputUrl`	string	The URL you supplied (for matching back to your list).
`found`	boolean	Whether a work email was found.
`email`	string	邮箱（启用邮箱查找时返回）
`emailStatus`	string	邮箱验证状态
`emailConfidence`	string	Confidence in the chosen email (`high` / `medium` / `low`).
`emailDomain`	string	Domain used for email derivation.
`emailSource`	string	How the email was derived (e.g. `smtp-pattern`).
`emailCandidates`	array	Ranked list of all plausible email addresses.
`companyDomain`	string	(auto)
`concurrency`	integer	`8`

字段取决于该条目公开了什么；不存在的值返回 null，数据结构保持稳定。

输入示例

{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/satyanadella"
  ],
  "findEmail": true
}

输出示例

{
  "ok": true,
  "email": "bill.gates@gatesfoundation.org",
  "found": true,
  "image": null,
  "company": "Gates Foundation",
  "fullName": "Bill Gates",
  "headline": "Chair, Gates Foundation and Founder, Breakthrough Energy",
  "inputUrl": "https://www.linkedin.com/in/williamhgates",
  "lastName": "Gates",
  "location": "Seattle",
  "firstName": "Bill",
  "profileUrl": "https://www.linkedin.com/in/williamhgates",
  "emailDomain": "gatesfoundation.org",
  "emailSource": "smtp-pattern",
  "emailStatus": "catch-all",
  "companyLinkedIn": null,
  "emailCandidates": [
    "bill.gates@gatesfoundation.org",
    "billgates@gatesfoundation.org",
    "bgates@gatesfoundation.org",
    "bill_gates@gatesfoundation.org",
    "b.gates@gatesfoundation.org",
    "gatesb@gatesfoundation.org",
    "bill@gatesfoundation.org"
  ],
  "emailConfidence": "low"
}

价格

采用按结果计费：只为真正拿到的数据付费，不按运行时间收费。

💸 成本 = 结果数量 × 单价，预算可提前算清。
📉 Apify 的 Bronze / Silver / Gold / Platinum / Diamond 套餐享阶梯折扣。
🆓 新账号自带每月免费额度，第一次运行不花钱。
🚫 无代理附加费、无单次请求费、无最低消费。

实时价格见 Apify 商店页面。

使用建议

📧 邮箱查找会增加成本，只对筛选后的名单开启。
✅ 用邮箱状态字段过滤低置信度结果再发信。
🎯 先用资料抓取广筛，再对短名单查邮箱。
⚖️ 外呼请遵守 GDPR / CAN-SPAM 等法规。

其他LinkedIn数据

👤 LinkedIn 个人资料抓取 —— 姓名、头衔、经历、教育、技能。
📧 LinkedIn 人员 + 邮箱抓取 —— 批量资料并可查找工作邮箱。
🏢 LinkedIn 公司抓取 —— 公司规模、行业、简介、网站。
💼 LinkedIn 职位抓取 —— 按关键词与地区抓招聘信息。
📝 LinkedIn 帖子抓取 —— 个人主页发布的内容与互动。

其他平台同样是免登录、按结果计费：Instagram · TikTok · X（推特） · Reddit · Google 地图 · Google 新闻。完整家族见 myagizm 商店主页。

配合 AI 智能体使用（MCP）

本 Actor 已接入 Apify MCP 服务器，Claude、ChatGPT、Cursor 等助手可以把它当作工具直接调用，用自然语言提问即可拿到结构化结果，无需写胶水代码。

集成与 API

支持 Make、Zapier、n8n、Slack、Airbyte、Gumloop、CrewAI、IFTTT、Lindy、GitHub、Google Sheets、Google Drive，以及 Webhook、定时任务与 MCP 服务器。

curl -X POST "https://api.apify.com/v2/acts/myagizm~linkedin-people-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates",
    "https://www.linkedin.com/in/satyanadella"
  ],
  "findEmail": true
}'

把 format 改成 json、csv、xlsx 或 xml 即可导出不同格式。

常见问题

需要 API Key 或登录吗？ 不需要。没有 API Key、没有 OAuth 应用、不登录、不用 Cookie，也不会使用你的账号。

抓取LinkedIn合法吗？ 只采集公开可见的数据，即任何未登录访客都能看到的内容，不登录、不绕过访问控制。合规责任由使用者承担：如涉及个人数据请遵守 GDPR / CCPA 与平台条款。

能抓私密内容吗？ 不能，需要登录或已删除的内容会被跳过并记录在日志中。

需要配置代理吗？ 不需要，已内置托管。

支持导出 CSV / Excel / JSON 吗？ 支持 JSON、CSV、Excel、XML。

可以通过 Apify API 调用吗？ 可以，见上方示例。

支持 AI 智能体（MCP）吗？ 支持，Claude、ChatGPT、Cursor 均可当作工具调用。

可以定时运行吗？ 可以，支持 Apify Schedules、API 与 Webhook。

数据有多新？ 不缓存，每次运行都读取当前公开页面。

让 AI 代理直接调用 —— 无需 Apify 账号（x402）

本工具支持基于开放 x402 协议的代理支付：AI 代理可以用 Base 链上的 USDC 直接付费运行，无需 Apify 账号、信用卡或 API 密钥。

npx -y awal auth login <邮箱>
npx awal x402 pay 'https://agi.apify.com/protocols/x402/prepaid-tokens?amount=1&currency=usd' --max-amount 1000000 --json
curl "https://api.apify.com/v2/acts/myagizm~linkedin-people-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $PREPAID_TOKEN" -H 'Content-Type: application/json' -d '{INPUT}'

之所以可用：本工具采用按事件计费且以受限权限运行，这正是 x402 的两个前提条件。按结果计费，代理只为拿到的数据付费；预付令牌本身就是消费上限，购买后 14 天到期。

免责声明

本工具为独立第三方工具，与 LinkedIn / 微软无任何隶属、认可或赞助关系，所有商标归各自所有者。

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