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.

📁 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. 🚀

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.

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

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?

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.

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.

This dataset provides an overview of LinkedIn's user base across the globe. It includes estimates of the number of LinkedIn users in various countries as of 2023 and 2024. The data was sourced from various online reports and analyses of LinkedIn's user demographics.

People Data Labs is an aggregator of B2B person and company data. We source our globally compliant person dataset via our "Data Union".

The "Data Union" is our proprietary data sharing co-op. Customers opt-in to sharing their data and warrant that their data is fully compliant with global data privacy regulations. Some data sources are provided as a one time dump, others are refreshed every time we do a new data build. Our data sources come from a variety of verticals including HR Tech, Real Estate Tech, Identity/Anti-Fraud, Martech, and others. People Data Labs works with customers on compliance based topics. If a customer wishes to ensure anonymity, we work with them to anonymize the data.

Our person data has over 100 fields including resume data (work history, education), contact information (email, phone), demographic info (name, gender, birth date) and social profile information (linkedin, github, twitter, facebook, etc...).

LinkedIn Leads — Market Intelligence Dataset

100,000,000 verified Worldwide contacts are available from LeadsBlue →. This open dataset provides the aggregate market intelligence behind that database — contact volume, benchmark open/reply rates, send timing, and compliance for the Worldwide segment.

At a glance: A research dataset describing the LinkedIn Leads market: verified-contact volume, industry distribution, outreach benchmarks, and regulatory framework, published by… See the full description on the dataset page: https://huggingface.co/datasets/emailmarketingdataset/linkedin-leads.

MIT LinkedIn Profiles — Preview

A small set of MIT-affiliated LinkedIn profiles to test enrichment and matching workflows. For the full dataset with broader coverage and updates, see https://www.thedataoutlet.com.

Buy the full dataset: https://www.thedataoutlet.com

  What’s inside

One Excel file with 60 rows and 11 columns. Person names, education, location, and current role.

File list

MIT_LinkedIns.xlsx 60 rows

  Quickstart

import pandas aspd df =… See the full description on the dataset page: https://huggingface.co/datasets/calebheinzman/LayoffTracker.

This dataset includes metrics on LinkedIn profile effectiveness for freelancers using SkillSeek, covering placement timelines, commission earnings, and quarterly performance rates. Data is derived from internal SkillSeek analytics and correlated with industry benchmarks for freelancer recruitment in the EU.

This dataset is aggregated from sources such as

https://www.kaggle.com/datasets/snehaanbhawal/resume-dataset https://github.com/YanyuanSu/Resume-Corpus https://github.com/florex/resume_corpus.git etc.

Entirely available in the public domain. Resumes are usually in pdf format. OCR was used to convert the PDF into text and LLMs were used to convert the data into a structured format.

  Dataset Overview

This dataset contains structured information extracted from professional resumes… See the full description on the dataset page: https://huggingface.co/datasets/Suriyaganesh/54k-resume.

This dataset tracks the impact of LinkedIn profile optimization strategies on recruiters using the SkillSeek umbrella platform, including metrics on profile views, response rates, and time investment, based on median values from industry reports and member surveys.

Dataset contains US Retail companies with company size from 200-500 workers. For each company, all workers were scrapped as well.

For mode details about scrapping code, you can check my article or GitHub code

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.

Background Information

This dataset was curated and annotated by Mohamed Attia.

The original dataset (v1) is composed of 451 images of various pills that are present on a large variety of surfaces and objects. https://i.imgur.com/pBJxZe9.png" alt="Example of an Image from the Dataset">

The dataset is available under the Public License.

Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Dataset Versions

Version 1 (v1) - 496 images

• Preprocessing: Auto-Orient and Resize (Stretch to 416x416)
• Augmentations: No augmentations applied
• Training Metrics: This version of the dataset was not trained

Version 2 (v2) - 1,190 images

• Preprocessing: Auto-Orient, Resize (Stretch to 416x416), all classes remapped (Modify Classes) to "pill"

• Augmentations: Outputs per training example: 3 90° Rotate: Clockwise, Counter-Clockwise, Upside Down Shear: ±5° Horizontal, ±5° Vertical Hue: Between -25° and +25° Saturation: Between -10% and +10% Brightness: Between -10% and +10% Exposure: Between -10% and +10% Noise: Up to 2% of pixels Cutout: 5 boxes with 5% size each

• Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow

NOTE:

The Isolate Objects preprocessing step was added to convert the original object detection project into a suitable format for export in OpenAI's CLIP annotation format so that it could be used as a classifcation model in this project.

Mohamed Attia - LinkedIn

Summary

databricks-dolly-15k is an open source dataset of instruction-following records generated by thousands of Databricks employees in several of the behavioral categories outlined in the InstructGPT paper, including brainstorming, classification, closed QA, generation, information extraction, open QA, and summarization. This dataset can be used for any purpose, whether academic or commercial, under the terms of the Creative Commons Attribution-ShareAlike 3.0 Unported… See the full description on the dataset page: https://huggingface.co/datasets/databricks/databricks-dolly-15k.