🕷️ Professional Network

LinkedIn Scraper — Extract
LinkedIn Data Automatically

Extract professional profiles, company pages, job listings, and contact information from LinkedIn. Designed for B2B lead generation, sales intelligence, HR sourcing, and market research within LinkedIn usage guidelines.

Quick Summary: LinkedIn Scraper

What it does: Automatically extracts structured data from LinkedIn.
Key data points: full name, current company, location (city, state, country) and more.
Top use case: b2b sales lead generation and prospecting.
Delivery formats: CSV, Excel, JSON, API, or direct database sync.

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api.datascraper.in/v1/extract/linkedin-scraper

const response = await scraper.run({
  platform: 'LinkedIn',
  format: 'json',
  fields: [
    'full_name',
    'current_company',
    'location_city_state_country_',
    'number_of_connections',
    'skills',
  ]
});

// Output (1000s of records generated)
[
  {
    "full_name": "Extracted Data...",
    "current_company": "Extracted Data...",
    "location_city_state_country_": "Extracted Data...",
    "number_of_connections": "Extracted Data...",
  },
  ...
]

Data You Get

What We Extract From LinkedIn

Schema Definition

Ready for Export

`"full_name":`	Full name and professional headline
`"current_company":`	Current company and job title
`"location_city_state_country_":`	Location (city, state, country)
`"number_of_connections":`	Number of connections
`"skills":`	Skills and endorsements
`"work_experience_company_title_dates_":`	Work experience (company, title, dates)
`"education_university_degree_year_":`	Education (university, degree, year)
`"linkedin_profile_url":`	LinkedIn profile URL
`"summary_about_section":`	Summary/About section
`"company_name_size":`	Company name, size and industry

★Custom fields & specific attributes available on request.

Use Cases

Why Businesses Use Our LinkedIn Scraper

B2B sales lead generation and prospecting

HR talent sourcing and recruiting

Competitive intelligence on rival company teams

Market research on industry verticals

Account-based marketing (ABM) data enrichment

Process

How Our LinkedIn Scraper Works

📋

Share Requirements

Tell us which LinkedIn pages to target, what fields you need, and how often.

⚙️

We Build the Scraper

Our engineers configure the LinkedIn Scraper with proxy rotation, anti-bot bypass, and data cleaning.

📦

Receive Clean Data

Structured LinkedIn data delivered in your preferred format — CSV, JSON, API, or database.

Why DataScraper?

DataScraper vs Building It Yourself

You're too big for manual copy-paste, too small to justify a full scraping infrastructure team. DataScraper is built for exactly that gap.

Feature	Build Yourself	SaaS Tool	✓ DataScraper
Setup Time	2–4 weeks	Minutes	48 hours
Anti-Bot Handling	Manual	Limited	Enterprise proxies
Maintenance	You maintain it	Tool updates break it	We maintain
Cost	$500–2,000/mo dev	$99–499/month	Starts from $20
Data Quality	Variable	Generic	QA verified
Support	None	Email tickets	WhatsApp direct
Delivery Time	Weeks	Hours	48 hours

Anti-Bot Technology

LinkedIn is One of the Most Aggressively Bot-Protected Sites on the Internet. We Handle It Automatically.

Our infrastructure is purpose-built to bypass Cloudflare, DataDome, PerimeterX, and reCAPTCHA at scale — so you always get clean data, not block pages. 99.2% success rate across all active scrapers.

Rotating residential proxies across 50+ countries

Browser fingerprint randomization (Playwright stealth)

Rate limiting that mimics human browsing behaviour

CAPTCHA bypass (2captcha / AntiCaptcha integration)

Self-healing parsing — site layout changes don't break your feed

What We Handle

Cloudflare Bot ManagementDataDomePerimeterXreCAPTCHA v3ImpervahCaptcha

Never blocked. 99.8% uptime on all production scrapers.

Delivery

Data in Your Preferred Format

📊

CSV / Excel

Ready-to-use spreadsheet

💾

JSON / XML

Structured for developers

🔌

REST API

Real-time endpoint

🗄️

SQL Database

MySQL / PostgreSQL

📋

Google Sheets

Live-updating sheet

☁️

Amazon S3

Cloud storage delivery

Sample Data

See What Your LinkedIn Data Looks Like

We send a free sample before any payment. Here's what a typical data row looks like — clean, structured, and ready to use.

linkedin_sample.json

[
  {
    "full_name_and_professional_headline": "LinkedIn — Sample Record #1",
    "current_company_and_job_title": "$49.99",
    "location": 4.7,
    "source_url": "https://linkedin.com/item/12345",
    "scraped_at": "2025-06-28T10:32:00Z"
  },
  { "...": "50–100 records in free sample" }
]

Free sample of 50–100 records provided before payment. No credit card required.

❓ FAQ

Frequently Asked Questions

Everything you need to know about our web scraping services.

Scraping publicly visible LinkedIn profile data has been affirmed as legal by the US 9th Circuit Court (hiQ Labs v. LinkedIn, 2022). We extract only data visible to unauthenticated users and operate within GDPR and IT Act guidelines. We do not scrape private messages or connection lists.

Yes. We extract publicly visible employee profiles for a given company page, including name, headline, job title, location, and LinkedIn URL. This is commonly used for account-based marketing (ABM) and competitive team intelligence.

Yes. LinkedIn uses aggressive bot detection including fingerprinting, rate limiting, and login walls. We use stealth browser automation, residential proxies, and session rotation to extract data reliably without triggering blocks.

Without login, publicly visible fields include: full name, professional headline, current company and title, location, profile summary snippet, skills, and LinkedIn profile URL. Email addresses are not publicly visible but can be added via enrichment tools like Apollo or Hunter.

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