5 Best LinkedIn Datasets in 2026

In this article, I will walk you through the 5 best LinkedIn dataset providers, sharing their features, pros, cons, and pricing.

Let’s go!

TL;DR

Bright Data — Enterprise-grade, compliant, flexible LinkedIn data
Coresignal — Affordable, frequently updated, historical data
People Data Labs — Largest profiles dataset, powerful APIs
Apify — Easy LinkedIn scrapers, low cost
Webz.io — Real-time, large-scale, structured insights

Bright Data

Bright Data is one of the biggest names in the data industry. It provides ready-to-use LinkedIn datasets for profiles, companies, jobs, and posts. Businesses use Bright Data when they require large amounts of accurate and up-to-date information. The company focuses on ethical and compliant data collection. With Bright Data, you can request custom datasets tailored to your needs or use prebuilt ones.

It also offers flexible delivery options, including Amazon S3, Snowflake, and Google Cloud. This makes it easy to integrate the data into your system. Bright Data is trusted by thousands of companies worldwide. It is best suited for enterprises, market researchers, and organizations that require high-quality LinkedIn datasets regularly.

Key Features:

Provides LinkedIn datasets including people profiles, company profiles, job listings, and posts.
Offers a LinkedIn Posts Dataset with details like post IDs, user IDs, post text, hashtags, and engagement metrics.
Multiple output formats: JSON, NDJSON, CSV, JSON Lines.
Flexible delivery: Amazon S3, Google Cloud, Azure, Snowflake, and SFTP.
“Request a Custom Dataset” option for tailored data needs.
Advanced infrastructure with unblocking, IP rotation, and automation.

Pros

Trusted by over 20,000 customers worldwide.
High data volume (millions of records available).
Provides both subscription and one-time purchase options.
Free dataset samples available.
Strong compliance focus with ethical data collection.

Cons

Pricing is relatively high compared to smaller providers.
Best suited for enterprises rather than individual researchers.

Pricing

Subscription plan starts at $375/month.
One-time purchase options start at $250.
Pricing per record: Starting from $1 per 1K records.

Coresignal

Coresignal is a provider known for its reliable and regularly updated LinkedIn datasets. It collects information from more than 20 online sources, including professional platforms and company websites. The datasets cover profiles, companies, and employee information. A standout feature is its Historical Headcount API, which lets users track company growth over time. Data is refreshed every six hours, so you always have access to the latest information.

Coresignal also offers historical data for up to five years, which is useful for long-term analysis and planning. It supports formats such as CSV, JSONL, and Parquet, making it flexible for various systems. With affordable plans, Coresignal is a strong choice for businesses, recruiters, and analysts looking for frequent LinkedIn updates.

Key Features:

Offers datasets from 40 online sources including LinkedIn.
Provides company, profile, and employee data.
Historical Headcount API for tracking organizational growth trends.
Database refreshed every six hours.
Available in formats like CSV, JSONL, and Parquet.
Flexible API integrations with direct access to historical and live data.

Pros

Very frequent refresh rate (every 6 hours).
Affordable entry-level pricing compared to Bright Data.
Offers historical data (up to 5 years).
Provides a 14-day free trial for testing.

Cons

Limited free usage compared to competitors.
May require technical knowledge to fully use APIs.

Pricing

Starts at $49/month.
Includes 250 API credits.
Free trial for 14 days with 200 credits.

People Data Labs (PDL)

People Data Labs is a leading provider of professional and company datasets. It specializes in delivering detailed information through its powerful APIs. PDL’s primary offering is LinkDB, a dataset comprising over 485 million professional profiles. This makes it one of the largest and most comprehensive resources for LinkedIn-style data. The dataset includes education, skills, certifications, job history, and more.

It is especially useful for B2B businesses, recruiters, and researchers building tools or models. PDL also provides free company data samples and limited API credits for testing. Data is available in Parquet format, which is efficient for large-scale projects. With PDL, businesses can enrich their data, generate leads, and discover insights at scale.

Key Features:

Focuses on individual and company datasets.
APIs include Company Search API and Company Enrichment API.
Provides attributes like company industry, domain, year founded, and LinkedIn URL.
Offers LinkDB: a dataset with over 485 million professional profiles.
Supports advanced data points such as education, certifications, languages, projects, and publications.
LinkDB available in Parquet format for efficient big data processing.

Pros

Very comprehensive professional dataset.
Good for B2B applications and AI model training.
Offers both free company datasets and limited API access.
Suitable for startups building SaaS or recruitment tools.

Cons

Data volume can be overwhelming without proper filtering.
Requires technical setup (Python, pandas, fastparquet, etc.) for large-scale analysis.

Pricing

Free tier with limited APIs (100 credits).
Paid plans start at $98/month.
LinkDB dataset pricing available upon request.

Apify

Apify’s website

Apify is a platform made for web scraping and automation. It provides easy-to-use scrapers for LinkedIn, such as job scrapers, profile scrapers, and post scrapers. Users can create LinkedIn datasets quickly without requiring advanced technical skills. The platform supports outputs like CSV, JSON, and Excel, which makes downloading and using the data simple. Apify is beginner-friendly yet strong enough for professional use.

Every month, users receive $5 of free usage for testing. A helpful developer community is also active on Discord for support and advice. Apify is an affordable option for startups, recruiters, and businesses seeking custom LinkedIn data without a complicated setup.

Key Features:

Provides LinkedIn scraping tools to build datasets.
Offers specialized scrapers: Job Scraper, Profile Scraper, and Post Scraper.
Easy setup and download in JSON, CSV, Excel.
Provides $5 free usage per month for testing.
Active developer community on Discord.

Pros

Easy for non-technical users to start.
Provides multiple ready-made scrapers for different LinkedIn use cases.
Low entry cost with free credits.
Flexible integrations with APIs and workflows.

Cons

Scraping may raise compliance and ToS concerns.
Requires manual setup compared to pre-structured datasets.

Pricing

Free plan with $5 usage per month.
Paid plans start from $49/month.
Pay-as-you-go pricing available based on scraper usage.

Webz.io

Webz.io website

Webz.io offers structured web data, including LinkedIn datasets. It delivers real-time and large-scale information that helps businesses stay updated. The platform gathers company details, job postings, and professional profiles. This makes it a good choice for market research and recruitment needs.

The platform’s primary strength is its continuous feed of updated data. That feature is especially important for fast-changing industries. Data comes in easy formats such as JSON or CSV, making integration simple. Webz.io is designed for enterprises and large organizations that require precise and reliable LinkedIn insights. Strong filtering tools allow businesses to focus on the data they need, based on keywords, industries, or regions.

Key Features:

Provides datasets from multiple online platforms, including LinkedIn.
Offers structured data for jobs, profiles, and companies.
Real-time web data feeds available.
JSON/CSV outputs with scalable integration.

Pros

Real-time data available for fast-changing industries.
Strong filtering options by region, keywords, or industry.
Suitable for large-scale enterprise use.

Cons

Pricing not transparent — must contact sales.
Requires technical knowledge for integration.

Pricing

Pricing is custom, usually enterprise-level.
Starts from around $500/month, depending on volume.

Conclusion

LinkedIn datasets are a powerful tool for businesses, recruiters, and researchers. They provide access to structured information that can support talent acquisition, competitor analysis, sales prospecting, and market research.

Choosing the right LinkedIn dataset depends on your budget, use case, and technical ability. Whether you are a recruiter, a sales professional, or a researcher, these providers can help you unlock the true potential of LinkedIn’s professional data.