employee data sources
data updates and discovery
years in the market
What is employee data?
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Top employee data sources
Employee data is divided between multiple datasets, each one corresponding to its respective data source.
Largest Professional Network
Data from the largest professional network consists of over 687M employee records and provides you with data points such as name, location, job title, experience, employment length, and more.
Crunchbase People data consists of over 1.8M records and provides you with data points such as name, job title, starting date, investment list, and more.
Reduce time to value with clean employee data
Professional network datasets are available in two types: raw and clean.
Popular among companies with strong data engineering capabilities that need data that is closer to the source.
- 687M+ employee records available
- No profile filtering
- Basic pre-processing only
- Data is not enriched
Best suited for companies that prefer ready-to-use, pre-processed datasets that require less data engineering.
- 459M+ employee records available
- Contains high-value profiles only
- Cleaned, filtered, and standardized
- 20+ additional fields
Employee data use cases
Public employee data for investors can help track talent movement for emerging business opportunities. Employee data fields such as professional experience, education, and connections, combined with firmographic data, show movements between companies and reveal company or industry-wide trends.
Employee data can be leveraged to source the best-fit talent for your recruitment needs by providing up-to-date information on qualified candidates globally. Data points such as employment length, location, position title, and description can take your data-driven recruitment efforts to a new level.
Fuel your lead generation pipeline with over 687M member records. Coresignal’s employee data is used for developing a qualified list of prospective clients and new contacts. Our alternative data for business can also provide you with additional data points on new clients and leads, enriching your own database.
Have another use case in mind?
Contact our sales team and we will do our best to help you.
Flexible data delivery options
When buying datasets, you can select data formats, delivery methods, and frequency that are convenient for your business.
But don't take us at our word. Listen to our clients.
Find more reviews on Datarade.
"We are using Coresignal to enrich our AI platform for Sales Pipeline Growth. We proactively recommend sales-ready opps, interested buyers, warm intros, and trusted actions, which results in +25% in net new pipeline in 2 months, and +40% after 6 months."
Lead generation client
"Before we started working with Coresignal, the percentage of investments that we made that had data influence was around 2% and currently it’s around 65%."
Venture capital client
"We chose Coresignal because of the coverage and the data freshness and ability to extend to other data sources."
Sales tech client
Find more reviews on Datarade.
Why 400+ companies choose Coresignal
Reliable and convenient delivery
We offer data in multiple formats, flexible delivery frequency and ensure transparent information about data operations to our clients.
Exceptional client support
Get the most out of your data with the help of Coresignal's dedicated account managers. We value long-term relationships and strive to provide quick support.
8 years in the market
Our team includes some of the most experienced web data extraction professionals. The advanced infrastructure they built over the years allows us to expand our datasets daily.
Stay ahead of the game with fresh web data
Coresignal's data helps companies achieve their goals
Frequently asked questions
What are Coresignal's employee data sources?
Coresignal's employee data sources include the largest professional network, Wellfound, Crunchbase, and more.
Who uses employee data?
Coresignal’s employee database is used by HR professionals, investors, and lead generation companies.
What are the types of employee data?
There are many types of employee data that varies based on perspective. The main ones are personnel information, employment details, job details, and salary data:
- Personnel information. This type of employee data primarily includes basic yet essential details about an individual. It encompasses the employee's name, location, connections in the professional sphere, and more. Such information is foundational for understanding an employee's background and is often the starting point for more in-depth analysis. In the context of talent sourcing and lead generation, personnel information helps in identifying potential candidates or clients and understanding their geographic and professional network context.
- Employment details. Employment details go a step further by providing insights into an employee's career trajectory. This includes data points like the start date at their current position, previous roles, and the length of employment at each position. Such information is invaluable for understanding an employee's stability, career progression, and experience in the industry. For investors and HR professionals, these details can reveal patterns in talent movement and highlight potential opportunities or risks.
- Job details. Job details are more specific and focus on the nature of the employee's current and past roles. This includes their position title, job responsibilities, and possibly a description of their role. This type of data is crucial for understanding the skill set and expertise of an employee, making it particularly useful for recruiters and companies looking to source talent with specific competencies or experience.
- Salary data. Salary data can provide significant insights into the market value of certain positions and the compensation trends within an industry. This information can be used for benchmarking salaries, understanding industry standards, and in negotiations for new hires or promotions. It's a critical component for companies aiming to maintain competitive and fair compensation practices.
Additionally, surveys to measure employee engagement could count as a type of employee data. With Coresignal, you can get data points such as employee name, location, connections, position title, education, and more.
Employee data use cases
- Talent sourcing. For HR professionals and recruiters, employee data is a goldmine for sourcing the best-fit talent. With access to up-to-date information on qualified candidates globally, recruiters can streamline their search process. Data points such as employment length, location, position title, and job descriptions enable a more targeted approach, allowing recruiters to find candidates who not only have the required skills and experience but also are likely to be a good cultural fit for the organization.
- Investment intelligence. Employee data is a valuable asset for investors looking to identify emerging business opportunities. By tracking talent movement, investors can gain insights into company growth, industry trends, and potential market shifts. For example, a significant influx of employees with specific skills into a company could signal a new strategic direction or innovation, presenting a potential investment opportunity. Similarly, tracking where top talents are moving can provide clues about the health and future prospects of companies.
- Lead generation. Companies can leverage employee data to fuel their lead generation pipelines. With over 682 million member records, businesses can develop a qualified list of prospective clients and new contacts. This use of employee data is particularly beneficial for B2B companies, where understanding the decision-makers and influencers in a target company is crucial for effective marketing and sales strategies.
- Market analysis and competitive intelligence. Employee data can provide valuable insights for market analysis and competitive intelligence. By analyzing trends in talent movement, companies can gauge the health of competitors and the overall industry. For instance, a trend of talent moving away from a particular sector could indicate a decline, while an influx might suggest growth or innovation. This information helps businesses in strategic planning and staying ahead in the market.
What are employee data collection methods?
Employee data collection involves gathering a wide range of information about employees, typically from various public web sources. This process is crucial for organizations as it helps in making informed decisions in areas such as talent sourcing, investment intelligence, lead generation, and more.
The methods of collecting employee data are diverse and can include extracting information from professional networking sites, public records, and other online platforms where professionals share their career details. This data often includes, but is not limited to, names, job titles, employment history, educational background, and professional connections.
The collection of employee data is not just about accumulating information, it's about ensuring the data is current, relevant, and accurate. At Coresignal, we employ systematic updates and discovery processes to keep the data fresh and valuable.
This aspect is particularly important as the job market and individual career paths are dynamic, with frequent changes. By regularly updating the databases, we ensure that the data reflects the most current state of an individual's professional journey, making it a powerful tool for their clients.
How secure is the data?
Data security is one of our main priorities. We store data in a protected dataset to avoid breaches and leaks of sensitive information.