Full profile of 10,000 people in the US - download here, data schema here, with more than 40 data points including - Full Name - Education - Location - Work Experience History and many more!

There are additionally 258+ Million US people profiles available, visit the LinkDB product page here.

Our LinkDB database is an exhaustive database of publicly accessible LinkedIn people and companies profiles. It contains close to 500 Million people and companies profiles globally.

Full profile of 10,000 U.S. companies - download here, data schema here, with more than 40 data points including - Company name - Website - Location - Industry and many more!

There are additionally millions more companies profiles available, visit the LinkDB product page here.

Our LinkDB database is an exhaustive database of publicly accessible LinkedIn people and companies profiles. It contains close to 500 Million people and companies profiles globally.

Full profile of 10,000 people in India - download here, data schema here, with more than 40 data points including - Full Name - Education - Location - Work Experience History and many more!

There are additionally 25+ Million Indian people profiles available, visit the LinkDB product page here.

Our LinkDB database is an exhaustive database of publicly accessible LinkedIn people and companies profiles. It contains close to 500 Million people and companies profiles globally.

Empower your business decisions with LinkedIn Dataset: A treasure trove of B2B data, featuring over 100 million records.

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling. The LinkedIn Profiles dataset contains over 669M records. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 59 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

LinkedIn Data Jobs Dataset

Scraped LinkedIn job postings for data-related roles (Data Analyst, Data Engineer, Data Scientist, etc.)

Overview

This dataset contains job postings scraped from LinkedIn, including job titles, companies, locations, descriptions, and job types (remote/hybrid/onsite). The data can be used for data cleaning, NLP analysis, skill extraction, and building AI-powered job application tools. ## Dataset Features Column Name Description Title Job title (e.g., "Data Analyst," "Product Analyst") Company Hiring company name Location Job location (city/country) Description Full job description (may include company info) Job Type Remote, Hybrid, or Onsite (if available)

Potential Use Cases

✅ Data Cleaning & Normalization – Standardize job titles, locations, and descriptions. ✅ NLP & Skill Extraction – Find the most in-demand skills (Python, SQL, ML, etc.). ✅ Job Type Analysis – Compare remote vs. onsite job trends. ✅ AI-Powered Job Tools – Build a Streamlit app to generate:

"About Me" sections tailored to job descriptions.

Auto-generated cover letters based on job requirements.

GitHub Collaboration Want to contribute? Join the project here: 🔗 https://github.com/JoyKimaiyo/Web-scraping-data-jobs-and-automating-about-me-section

Acknowledgments Data scraped from LinkedIn for educational/non-commercial use.

LinkedIn Profile Data and LinkedIn Database

This dataset provides access to large-scale LinkedIn profile data built from public professional profiles and company-linked information. It is designed for teams that need structured professional data for lead generation, market research, contact discovery, and profile enrichment.

The dataset combines profile-level information with career, education, skills, and company context, making it easier to search, segment, and analyze professionals at scale. It can be used as a LinkedIn database, LinkedIn leads database, professional profile database, or LinkedIn contact list depending on the use case.

The database includes more than 380 million public profiles, covering professionals across industries, roles, and regions. Each record is organized into structured fields so buyers can build targeted lists, study professional trends, or enrich internal datasets with profile-based information.

Dataset Overview

• 380M+ public professional profiles • Monthly updates • Profile URLs and public profile details • Job titles and career history • Education history • Skills and certifications • Company-linked profile data • Contact fields such as email and phone where available

This linkedin profile data product is useful for teams that need broad coverage of public professional profiles in a structured format.

Profile Data Fields

Each record in the linkedin database may include a wide range of fields that describe a person’s professional background and public profile information.

Typical profile fields include:

• Full Name • Job Title • Profile URL • Summary • Location • Job History • Education History • Skills • Certifications

These fields help users understand a professional’s background, experience, and role.

Contact and Enrichment Fields

Where available, records may also include contact-related and enrichment fields that make the dataset useful for list building and outreach research.

Typical enrichment fields may include:

• Work Email • Personal Email • Phone Number • Company Name • Company Domain • Industry

This makes the dataset useful as a linkedin leads list, linkedin contact list, or linkedin enriched profiles dataset for teams that need more than profile URLs alone.

Career and Professional History

The dataset includes structured career information that can help users understand how a professional’s background has developed over time.

Career-related attributes may include:

• Current job title • Current employer • Previous job roles • Employment timeline • Education institutions • Certifications and skills

This makes the dataset useful for professional research, industry analysis, and role-based segmentation.

Company-Linked Profile Data

In addition to profile-level information, the dataset can also include company context connected to the professional profile. This helps users understand the organization where the person works and segment profiles more effectively.

Company-related fields may include:

• Company Name • Industry • Company Website • Company Location • Company Size

This makes the product useful not only as linkedin profile data, but also as a linkedin company database for buyers who want both person-level and company-level context.

Filtering and Segmentation

The dataset can be filtered using multiple criteria so buyers can build targeted lists based on specific requirements.

Common filtering options include:

• Job title • Industry • Company name • Location • Skills • Education • Career history • Seniority level

These filters help users create focused LinkedIn B2B leads, role-based prospect lists, or segmented research datasets.

Global Coverage

The database includes professional profiles from a wide range of countries and industries, making it useful for both local and international research and targeting.

Coverage includes:

• North America • Europe • Asia-Pacific • Middle East • Latin America

Coverage may vary by field type and profile availability, so buyers can request a sample to review data fit for their target segment.

Common Use Cases B2B Lead Generation

Use the linkedin leads database to identify professionals by job title, industry, location, or company and build targeted prospect lists.

Market Research

Analyze professional backgrounds, industry movement, skills, and company-linked profile trends using structured public profile data.

Contact Discovery

Use available email and phone fields to support outreach research and build linkedin contact lists.

Profile Enrichment

Add profile URLs, job history, education, skills, and company details to internal records using linkedin enriched profiles.

Company and Talent Mapping

Study employees connected to specific companies, industries, or role groups using structured professional profile records.

Data Structure and Delivery

The dataset is organized into a structured format so buyers can work with large volumes of profile data more easily. Records can be used in s...

Dataset Description

This dataset contains profile and employment information for 10,000 LinkedIn users, representing their professional status as of January 1, 2018. The data includes demographic estimates, job roles, company attributes, connection metrics, and location details.

Collected through a browser-based scraping extension, the dataset provides a structured view of professional networks and employment patterns. It enables analysis of career progression, company workforce characteristics, hiring trends, and professional networking behavior.

The dataset is particularly useful for research in labor market analytics, social network analysis, recruitment intelligence, and machine learning applications involving professional profile data.

Key Features

Contains data for 10,000 LinkedIn members

Includes both individual profile attributes and company information

Captures job roles active on a specific historical date

Provides networking indicators such as connections and followers

Enables career trajectory and employment duration analysis

Useful for analytics, recommendation systems, and HR research

Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

📁 Dataset Title: LinkedIn Post Analytics Data (Creator Insights) 📝 Dataset Overview: This dataset provides a curated view of LinkedIn content performance, offering a detailed breakdown of metrics that reflect audience interaction and post visibility over time.

It’s built specifically for data enthusiasts, content creators, and digital marketers who want to analyze trends, measure engagement, and optimize content strategy.

🔍 Features / Columns: Column Name Description Month The calendar month the post was published Post Type Type of LinkedIn post (e.g., Image, Text, Document, Poll) Impressions Total number of views the post received Reactions Number of likes and reactions (e.g., celebrate, insightful) Comments Number of comments the post received Shares Number of times the post was shared Clicks Number of profile or content clicks generated by the post Reach Number of unique users who saw the post Engagement Rate (%) Calculated as a percentage of total engagements over impressions Post Description Short description or summary of the post content or topic

🎯 Ideal Use Cases: Build Power BI or Tableau dashboards to track post performance over time

Run A/B analysis on different post types to identify what drives engagement

Predict post success using machine learning models

Analyze audience behavior and optimize content posting strategy

Educational use for practicing social media analytics and data storytelling

🔧 Tools You Can Use: Power BI, Tableau, Looker Studio

Python (Pandas, Seaborn, Scikit-learn)

R (ggplot2, tidyverse)

Excel dashboards

🙌 Creator: Fatolu Peter (a.k.a. Emperor Analytics) On a mission to turn insights into impact through clean, professional datasets that help analysts grow. 🚀

The LinkedIn posts dataset is a comprehensive collection of user-generated content on LinkedIn, featuring key fields such as post ID, user ID, URL, title, post text, date posted, hashtags, and engagement metrics like the number of likes and comments. This dataset also includes additional elements such as embedded links, images, videos, top visible comments, and links to more posts by the user or relevant content. It is ideal for social media analysts, marketers, and researchers looking to analyze user behavior, content trends, and engagement on LinkedIn.

Employee Database

This dataset provides access to a global employee data database with professional profiles from companies across many industries and regions. It is built for teams that need reliable information about people working inside businesses, including their roles, company details, and professional contact data.

The dataset combines employee information with company-level data, making it easier to identify relevant professionals and understand the organizations they work for. This helps users build targeted lists, research specific markets, and find professionals based on role, industry, location, or company type.

Companies use employee data, employee databases, and professional contact databases for many different purposes, including recruiting, sales prospecting, market research, and business development. This dataset is structured to support those use cases by making employee and company information easy to search, filter, and review.

The database includes more than 380 million professional profiles worldwide, covering employees across a wide range of industries, seniority levels, and locations.

Dataset Overview

• 380M+ professional profiles worldwide • Work email addresses • Mobile phone numbers • LinkedIn profile URLs • Current job titles • Job levels and job functions • Employment history • Company details

This employee database helps users identify professionals working inside businesses and build lists based on specific criteria.

Employee Contact Information

Each record in the employee contact database includes a set of fields that help users identify and understand professional profiles.

Typical contact fields include:

• First Name • Last Name • Work Email Address • Mobile Phone Number • LinkedIn Profile URL • Job Title • Job Level • Job Function

These fields help users identify professionals by department, role, or level of seniority.

Employment Information

The dataset also includes employment-related details that help users understand a person’s current position and career background.

Employment fields may include:

• Current Company • Current Job Title • Department or Function • Seniority Level • Previous Roles • Employment History

This information is useful for teams that need to understand where a professional works, what role they hold, and how their career has developed over time.

Company Data

Along with employee-level details, the dataset also includes company information that provides useful context about each professional’s workplace.

Company data may include:

• Company Name • Industry • Company Size • Website Domain • Headquarters Location • Country • Region

This makes the dataset useful not only as an employee data list, but also as a company employee dataset that connects people to the businesses where they work.

Filtering and Segmentation

The dataset includes multiple filtering options that allow users to narrow results and build targeted lists.

Profiles can be filtered using criteria such as:

• Industry • Job title • Job function • Seniority level • Company size • Geographic location

These filters help users find professionals who match their target audience, hiring criteria, or research needs.

Global Coverage

The professional contact database includes employees from companies across major business regions around the world.

Coverage includes:

• North America • Europe • Asia-Pacific • Middle East • Latin America

This broad coverage allows users to search for professionals in both local and international markets.

Data Quality and Updates

The employee data database is updated regularly to keep the information current and useful. Updates help reflect changes in job titles, company affiliations, and contact details.

This is important for teams that rely on up-to-date professional information for outreach, research, or talent discovery.

Common Use Cases

Recruiting and Talent Research Recruiting teams can use the employee database to identify professionals based on role, industry, location, or career background.

Sales Prospecting Sales teams can use the employee contact database to identify relevant people inside target companies and build outreach lists.

Market Research Researchers can use the dataset to study workforce structures, industry hiring patterns, and company-level professional distribution.

Business Development Organizations can identify professionals involved in operations, partnerships, purchasing, or leadership roles.

Who This Dataset Is For

This dataset is useful for:

• Recruiting teams • Sales teams • Market research firms • Business development teams • Data providers and analysts

It supports teams that need structured employee data, employee email database access, and broader company-linked professional information.

Sample Data Available

A sample dataset and schema preview are available upon request so buyers can review the structure and data quality before purchasing.

Structured LinkedIn profile data including identity, location, role, company, and public activity fields.

The LinkedIn Jobs Listing dataset emerges as a comprehensive resource for individuals navigating the contemporary job market. With a focus on critical employment details, the dataset encapsulates key facets of job listings, including titles, company names, locations, and employment specifics such as seniority levels and functions. This wealth of information is instrumental for job seekers looking to align their skills and aspirations with the right opportunities. The inclusion of direct application links and real-time application numbers enhances the dataset's utility, offering users a streamlined approach to engaging with potential employers. Beyond aiding job seekers, the dataset serves as a valuable tool for analysts and researchers, providing nuanced insights into industry trends and the evolving demands of the job market. The temporal aspect, captured through job posting timestamps, allows for the observation of job trends over time. Moreover, the dataset's integration of company details, including unique identifiers and LinkedIn profile links, enables a deeper exploration of hiring organizations. Whether for job seekers or analysts, the LinkedIn Jobs Listing dataset emerges as a versatile and informative repository, empowering users with the knowledge to make informed decisions in their professional pursuits.

Data that captures the evolution of skill requirements over time across the workforce based on updates to LinkedIn member profiles. This dataset is part of the LinkedIn - World Bank Group partnership, which helps governments and researchers understand rapidly evolving labor markets with detailed and dynamic data. It allows leaders to benchmark and compare labor markets across the world; analyze skills, occupations, migration, and industries; and leverage real-time data to make policy changes. Visualizations for many of these data are available at linkedindata.worldbank.org. The data cover 2015-2019, are refreshed on an annual basis, and are available for 140+ countries.

This dataset contains LinkedIn profile comments, capturing user interactions and engagement across various profiles. The dataset can be useful for researchers and developers working on natural language processing (NLP), sentiment analysis, and social media behavior analysis.

Key features of the dataset: Captures LinkedIn comments from various profiles . User engagement insights: Analyze the language and sentiment of comments to gauge user engagement. Potential applications: The dataset is ideal for machine learning projects such as sentiment analysis, text classification, and recommendation systems. This dataset can help with:

Identifying sentiment in LinkedIn comments. Detecting popular or trending topics based on comment activity. Enhancing user engagement analysis on professional networking platforms.

Easily uncover insights with LinkedIn Company Dataset: Dive into company specifics, websites, and market movements.

Scale your HR Tech, B2B Sales, and Market Intelligence engines with the world’s most comprehensive database of public professional profiles. This dataset offers a structured, historical view of the global workforce, capturing the career trajectories, educational backgrounds, and skill sets of over 830,042,175 professionals across 190+ countries.

Unlike static contact lists, our Professional Identity Graph provides a dynamic view of an individual's career. We map the relationships between People, Companies, Skills, and Schools, allowing you to answer complex questions about talent migration, skill supply, and organizational hierarchies.

All profiles are matched to a public Linkedin URL

Key Use Cases 1. B2B Data Enrichment & CRM Hygiene Turn a simple email address or name into a full 360-degree prospect profile.

Append: Add currentCompanies, jobTitle, and industry to your existing leads.

Lead Scoring: Use connectionsCount and recommendations as proxies for influence and decision-making power.

Refresh: Identify when a prospect has changed jobs (lastUpdated) to trigger "New Role" outreach campaigns.

1. Talent Intelligence & Recruitment Build the next generation of hiring tools.

Sourcing: Query by complex skill combinations (e.g., "Python" + "TensorFlow" + "5 Years Experience").

Alumni Targeting: Use educations data to find candidates from target universities.

DEI Analytics: Leverage pronoun and volunteerExperiences data for diversity and inclusion benchmarking.

1. Investment & Labor Market Analysis

Headcount Growth: Track currentCompanies vs. previousCompanies to measure company growth or attrition rates in real-time.

Skill Trends: Analyze the rise of specific skills (e.g., "Generative AI") across specific industries or regions.

Data Dictionary & Schema Attributes Our schema is normalized for easy ingestion. We provide over 30 rich attributes per profile, grouped into five core intelligence clusters:

1. Identity & Social (The "Who")

publicId / vanity: The unique handle for the profile (e.g., /in/john-doe).

urn: The immutable, system-unique identifier.

fullName, firstName, lastName: Parsed name fields.

headline & summary: The professional's self-described bio and taglines.

pronoun: Self-identified pronouns (he/him, she/her, etc.).

logoUrl: Profile image link.

openToWork: Indicator of active job-seeking status.

1. Professional Graph (The "What")

currentCompanies: Detailed object containing Company Name, Title, Start Date.

previousCompanies: Historical array of past roles, creating a full resume view.

industry: Standardized industry classification.

1. Capability & Skills (The "How")

skills: Array of endorsed skills (e.g., "Project Management", "SQL").

languages: Spoken languages and proficiency levels.

certifications: Professional licenses and validity dates.

courses & honors: Academic and professional awards.

educations: Full academic history including Degree, School, and Dates.

1. Influence & Content (The "Reach")

connectionsCount: Total network size.

followersCount: Measure of audience reach.

recommendations: Text of received professional endorsements.

organizations: Memberships in professional bodies or non-profits.

patents, projects, publications: Intellectual property and portfolio items.

1. Location & Metadata

locationName: City/Metro area (e.g., "Greater New York City Area").

locationCountry: ISO-2 Country Code.

lastUpdated: Timestamp of the most recent data refresh.

fullName: 830042175 - Fill Rate: 99.99% firstName: 830023323 - Fill Rate: 99.98% lastName: 822995392 - Fill Rate: 99.14% publicId / vanity: 830159658 - Fill Rate: 100% urn: 830159658 - Fill Rate: 100% headline: 829660649 - Fill Rate: 99.94% summary: 154826408 - Fill Rate: 18.65% industry: 569584072 - Fill Rate: 68.61% locationName: 829491476 - Fill Rate: 99.92% locationCountry: 830159658 - Fill Rate: 100% logoUrl: 225683142 - Fill Rate: 27.19% connectionsCount: 563236676 - Fill Rate: 67.85% followersCount: 569950689 - Fill Rate: 68.66% currentCompanies: 544595655 - Fill Rate: 65.6% previousCompanies: 244822218 - Fill Rate: 29.49% educations: 378348844 - Fill Rate: 45.58% volunteerExperiences: 33804455 - Fill Rate: 4.07% skills: 296336188 - Fill Rate: 35.7% pronoun: 38741090 - Fill Rate: 4.67% related: 576329691 - Fill Rate: 69.42% languages: 73444194 - Fill Rate: 8.85% recommendations: 27940603 - Fill Rate: 3.37% certifications: 65446443 - Fill Rate: 7.88% courses: 21095553 - Fill Rate: 2.54% honors: 17348831 - Fill Rate: 2.09% organizations: 14691528 - Fill Rate: 1.77% patents: 1012239 - Fill Rate: 0.12% projects: 16879774 - Fill Rate: 2.03% publications: 9748127 - Fill Rate: 1.17% lastUpdated: 830159658 - Fill Rate: 100% openToWork: 42157137 - Fill Rate: 5.08%

Compliance & Data Governance We understand that compliance is paramount when handling professional data.

Source: All data is aggregated strictly from Public Web Sources. We do not hack, credential-stuff, or access data behind login walls....

LinkedIn is a widely used professional networking platform that hosts millions of job postings. This dataset contains 1.3 million job listings scraped from LinkedIn in the year 2024.

This dataset can be used for various research tasks such as job market analysis, skills mapping, job recommendation systems, and more.

If you find this dataset valuable, please upvote 😊💼

This is the same master dataset that powers SkillExplorer

Interesting Task Ideas:

1. Practice data cleaning on raw data.
2. Analyze the most in-demand job titles or industries in different cities or countries.
3. Identify the top companies hiring for specific job positions.
4. Utilize the skills data to determine the most sought-after skills in different job categories.
5. Build a job recommendation system based on user profiles and job listing data.
6. Discover patterns in job types or levels across different industries.
7. Identify skill gaps in the job market to inform educational or training programs.
8. Explore the relationship between job title and required skills.

Photo by Clem Onojeghuo on Unsplash

Key Features:

Extensive Global Coverage: Our Linkedin Profile dataset spans across industries and geographies, offering a diverse representation of employee profiles from around the world. Analyze talent pools, identify skill gaps, and explore industry trends on a global scale.

Up-to-Date and Monthly Updates: Our Linkedin profile dataset is continuously updated with the latest information, ensuring you have access to the most current employee profiles. Stay ahead of the curve with monthly updates that reflect recent career advancements, job changes, and skill acquisitions.

Rich Employee Attributes: Gain a comprehensive understanding of professionals through a wide range of attributes, including job titles, company affiliations, educational backgrounds, skills, and endorsements. Leverage this detailed information to identify top talent, build professional networks, and conduct targeted talent searches.

Customizable Data Delivery: We offer flexible data delivery options to suit your specific needs. Choose from formats such as CSV, JSON, or API integration, allowing seamless integration with your existing data infrastructure.

GDPR Compliance: We prioritize data privacy and adhere to the General Data Protection Regulation (GDPR) guidelines. Our dataset collection process ensures the protection of personal and sensitive information, providing you with GDPR-compliant data.

Unlock the potential of our LinkedIn Employee Profile dataset to gain a competitive edge in talent acquisition, talent management, and industry research. Leverage the wealth of information to make informed decisions, build strategic partnerships, and enhance your understanding of the professional landscape.