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.

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 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.

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.

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.

A LinkedIn profile dataset of 250M+ employee records with job title, seniority, department, company and location, enriched with work email and direct dial. Every row carries the person and their employer together, and you only pay for the rows you export.

Full profile of 10,000 Swedish 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.

Dataset

This dataset was created by Lakshay Handa

Released under Apache 2.0

Contents

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.

Context

Anonymized data from profiles scraped on LinkedIn. Contains data from about 15000 profiles. Profiles came from people predominantly located in Australia. Includes all their work history as well as analysis of their photo and name.

Content

Each row contains:

• Profile data
• Job data
• Name analysis (Race, Gender)
• Profile picture analysis (Age, Race, Gender, Attractiveness, Health, Emotionality)

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Access over 920 million global LinkedIn profiles data enriched with detailed B2B LinkedIn people profiles and LinkedIn company data. This LinkedIn dataset offers accurate, structured information for professionals across industries, geographies, and company sizes. It is designed to support sales intelligence, recruiting, marketing, enrichment, investment research, and data platforms.

Our LinkedIn profile dataset includes verified and frequently updated records, making it ideal for data-driven teams looking to scale outreach, identify decision-makers, enrich CRM records, and improve targeting.

LinkedIn profile dataset :

755M+ LinkedIn People Profiles

70M+ LinkedIn Company Profiles

Full Name, Job Title, Company, Industry

LinkedIn Public Identifier and Profile URL

Location, Seniority, Education, Skills

Company Size, Revenue Range, Company Domain, Domain rank

Bi-Weekly Data Updates

Delivery Formats: CSV, JSON, PostgreSQL

API Access with Credit-Based Pricing

Use Cases

Sales Prospecting: Target decision-makers and buyers by title, seniority, region, and industry.

Recruiting: Source passive candidates using skills, experience, education, and seniority filters.

Data Enrichment: Append LinkedIn profile data to your CRM, CDP, or internal database.

Investment Research: Identify executive teams, founders, and key leadership at global companies.

Marketing Automation: Build high-quality outbound and ABM campaign lists using live LinkedIn data.

Technology & SaaS Platforms: Integrate LinkedIn profile data into your product via API.

Key Features

High-accuracy B2B LinkedIn data with 95%+ verified records

Wide global coverage across North America, Europe, LATAM, APAC, and MENA

Fast delivery with bi-weekly refresh cycles

Flexible access via API or flat file delivery

Supports real-time and large-scale enrichment workflows

GDPR and CCPA compliant

Who Uses This Data

Sales Intelligence Tools

Talent Acquisition & HR Tech Platforms

CRM and CDP Vendors

Private Equity and Venture Capital Firms

Data Enrichment Providers

Martech and Adtech Companies

Research and Analytics Firms

Delivery Options

API-based credit system (starting at $100 for 2,500 credits)

One-time file deliveries for specific LinkedIn IDs or data samples

Ongoing flat file subscriptions (CSV, JSON, or PostgreSQL)

Hourly or Bi-weekly refresh options

Trial & Evaluation Sample data and trial API credits are available to validate accuracy and fit for your use case. Volume-based pricing and custom delivery formats can be discussed on request.

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.

A LinkedIn job postings dataset of 10M+ active and expired listings with job title, full description, location and listing dates, alongside the hiring company's industry, headcount and head office. Priced per row exported.

Key Features:

Always recently scraped: Guaranteed < 30 days of scraped data

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.

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.

A LinkedIn company dataset of 64M+ company records with domain, industry, headcount and revenue bands, headquarters and office locations, detected technologies, open roles and funding history. Filter it to your segment and pay only for the rows you export.

Public LinkedIn job postings collected since April 2026: title, company, location, seniority, employment type, job functions, industries, salary, applicant count and full description. One Parquet or CSV file per day of first sighting.

Access professional job market insights: Comprehensive job listings and recruitment data from LinkedIn's global platform. Choose various delivery frequencies (monthly, quarterly or one-time purchase) or contact us to get it customized.

Analyze professional social media trends: Posts, engagement metrics, and content insights from LinkedIn's global network. Choose various delivery frequencies (monthly, quarterly or one-time purchase) or contact us to get it customized.

Data showing the movement of LinkedIn members across the world at the country, industry, and skill level. 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 insights. 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 a collection of software engineering job listings scraped from LinkedIn. It provides valuable insights into the current job market, job requirements, and company hiring trends.

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Interesting Task Ideas:

1. Analyze the most in-demand software engineering job titles.
2. Explore the geographical distribution of software engineering job opportunities.
3. Identify the most sought-after programming languages and skills in job descriptions.
4. Determine the average years of experience required for different job levels.

Photo by Hack Capital on Unsplash