LinkedIn Datasets

Last update: December 27, 2024

LinkedIn dataset is a collection of structured data from the LinkedIn platform such as user profiles, company information, and job postings. LinkedIn datasets typically contain information about: +Show More

LinkedIn dataset is a collection of structured data from the LinkedIn platform such as user profiles, company information, and job postings. LinkedIn datasets typically contain information about:

  • User profiles: Names, job titles, skills and endorsements
  • Job postings: Job descriptions, titles, requirements, salaries and postins dates
  • Company information: Company names, sizes, industries and locations
  • Groups and communities: Group members’ names and profile URLs, topics of discussion.

To be categorized as a LinkedIn dataset, a dataset must provide at least one of the information above.

If you’d like to learn about the ecosystem consisting of LinkedIn Datasets and others, feel free to check AIMultiple Web Data.
How relevant, verifiable metrics drive AIMultiple’s rankings

AIMultiple uses relevant & verifiable metrics to evaluate vendors.

Metrics are selected based on typical enterprise procurement processes ensuring that market leaders, fast-growing challengers, feature-complete solutions and cost-effective solutions are ranked highly so they can be shortlisted.
Data regarding these metrics are collected from public sources as outlined in the “What are AIMultiple’s data sources?” section of this page.


There are 2 ways in which vendor metrics are processed to help prioritization:
1- Vendors are grouped within 4 metrics (customer satisfaction, market presence, growth and features) according to their performance in that metric.
2- Vendors that perform high in these metrics are ranked higher in the list.


The data used in each vendor’s ranking can be accessed by expanding the vendor’s row in the below list.
This page includes links to AIMultiple’s sponsors. Sponsored links are included in “Visit Website” buttons and ranked at the top of the list when results are sorted by “Sponsored”. Sponsors have no say over the ranking which is based on market data. Organic ranking can be seen by sorting by “AIMultiple” or other sorting approaches. For more on how AIMultiple works, please see the ethical standards that we follow and how we fund our research.

Products Position Customer satisfaction
Bright Data Datasets logo

Bright Data Datasets

Leader
N/A
Get pre-collected datasets that cover a wide range of data points of entire websites. Identify and analyze trends, find companies, people, and social media influencers, optimize your eCommerce activity, or obtain data for your machine learning algorithms.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
5.00 / 5 based on 3 reviews
Market presence
Company's number of employees
1k-2k employees
Company's social media followers
30k-40k followers
Company
Type of company
private
Founding year
1901
Coresignal logo

Coresignal

Challenger
N/A
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
30-40 employees
Company's social media followers
1k-2k followers
Company
Type of company
private
Founding year
2016
Zyte logo

Zyte

Leader
Satisfactory
Offers proxy networks, API for data collection activities, and web data extraction services for businesses.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Average rating
4.20 / 5 based on ~20 reviews
Market presence
Company's number of employees
200-300 employees
Company's social media followers
40k-50k followers
People Data Labs logo

People Data Labs

Leader
N/A
People Data Labs offers accurate and fresh web data at scale, including profile and company data for HR, marketing, sales and finance.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Total funding
$50-100m
# of funding rounds
7
Latest funding date
November 16, 2021
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2015
DataCaptive logo

DataCaptive

Leader
N/A
B2B company data including various LinkedIn data points such as employee size, location, and industry for outreach, multi-channel campaigns, finance purposes.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
50-100 employees
Company's social media followers
1k-2k followers
Company
Type of company
private
Founding year
2015
Xverum logo

Xverum

Leader
N/A
Provides structured datasets including company, individual profile, and job listing information for lead generation, talent sourcing, and data enrichment.
Basis for Evaluation

We made these evaluations based on the following parameters;

Customer satisfaction
Market presence
Company's number of employees
30-40 employees
Company's social media followers
300-400 followers
Company
Type of company
private
Founding year
2020

“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.


Sources

AIMultiple uses these data sources for ranking solutions and awarding badges in linkedin datasets:


5 vendor web domains
4 funding announcements
12 social media profiles
2 profiles on review platforms
2 search engine queries

LinkedIn Datasets Leaders

According to the weighted combination of 4 metrics

Zyte logo
Bright Data Datasets logo
People Data Labs logo
DataCaptive logo
Xverum logo

What are linkedin datasets
customer satisfaction leaders?

Taking into account the latest metrics outlined below, these are the current linkedin datasets customer satisfaction leaders:

Zyte logo
Bright Data Datasets logo
People Data Labs logo
DataCaptive logo
Xverum logo

Which linkedin datasets solution provides the most customer satisfaction?

AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.

While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.

  • Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
  • Recency is important as products are always evolving.
  • Reviews older than 5 years are not taken into consideration
  • older than 12 months have reduced impact in average ratings in line with their date of publishing.

What are linkedin datasets
market leaders?

Taking into account the latest metrics outlined below, these are the current linkedin datasets market leaders:

Zyte logo
Bright Data Datasets logo
People Data Labs logo
DataCaptive logo
Xverum logo

Which one has collected the most reviews?

AIMultiple uses multiple datapoints in identifying market leaders:

  • Product line revenue (when available)
  • Number of reviews
  • Number of case studies
  • Number and experience of employees
  • Social media presence and engagement
Out of these, number of reviews information is available for all products and is summarized in the graph:

Zyte
Bright Data Datasets
Xverum
People Data Labs
DataCaptive

What are the most mature linkedin datasets?

Which one has the most employees?

Bright Data logo
Zyte logo
People Data Labs logo
DataCaptive logo
 logo

Which linkedin datasets companies have the most employees?

87 employees work for a typical company in this solution category which is 64 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 6 companies with >10 employees are offering . Top 3 products are developed by companies with a total of 1k employees. The largest company in this domain is Bright Data with more than 1000 employees. Bright Data provides the linkedin datasets solution: Bright Data Datasets

Bright Data
Zyte
People Data Labs
DataCaptive

Insights

What is the average customer size?

According to customer reviews, most common company size for linkedin datasets customers is 1-50 Employees. Customers with 1-50 Employees make up 63% of linkedin datasets customers. For an average Web Data solution, customers with 1-50 Employees make up 25% of total customers.

Where are linkedin datasets vendors' HQs located?

What is the level of interest in linkedin datasets?

This category was searched on average for 1.6k times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other web data solutions, a typical solution was searched 546 times in 2024 and this decreased to 0 in 2025.

Learn more about LinkedIn Datasets

LinkedIn dataset refers to a collection of structured data from LinkedIn. It can be scraped data, API data, research data or publicly shared information

LinkedIn datasets include different data points related to company, profile, job, activity and network data.

The main types of LinkedIn datasets include:

  • Public LinkedIn datasets: Available by LinkedIn itself for public interest purposes, such as industry-specific insights.
  • Proprietary LinkedIn datasets: Owned and managed by LinkedIn, including network data, user activity. Third-party LinkedIn datasets:
  • Generated by external entities using LinkedIn APIs or web scraping methods.