➡️ You can choose from multiple data formats, delivery frequency options, and delivery methods;

➡️ You can select raw or clean and AI-enriched datasets;

➡️ Multiple APIs designed for effortless search and enrichment (accessible using a user-friendly self-service tool);

➡️ Fresh data: daily updates, easy change tracking with dedicated data fields, and a constant flow of new data;

➡️ You get all necessary resources for evaluating our data: a free consultation, a data sample, or free credits for testing our APIs.

Coresignal's employee and company data enables you to create and improve innovative data-driven solutions and extract actionable business insights. These datasets are popular among companies from different industries, including investment, sales, and HR technology.

✅ For investors

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal's global Employee Data and Company Data.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase

✅ For HR tech

Coresignal's global Employee Data and Company Data enable you to build and improve AI-based talent-sourcing and other HR technology solutions.

Use cases

1. Build AI-based tools
2. Find qualified candidates
3. Enrich existing hiring data

✅ For sales tech

Companies use our large-scale datasets to improve their lead generation engines and power sales technology platforms.

Use cases

1. Extract targeted lead lists
2. Fill in the gaps in your lead data
3. Enable data-driven sales strategies

➡️ Why 400+ data-powered businesses choose Coresignal:

1. Experienced data provider (in the market since 2016);
2. Exceptional client service;
3. Responsible and secure data collection.

Our Web Scraping dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For lead generation

With millions of companies from around the globe, this scraped data enables you to filter potential clients based on specific criteria and hasten the conversion process.

Use cases

1. Filter potential clients according to location, size, and other criteria
2. Enrich your existing database
3. Improve conversion rates
4. Use predictive models to identify potential leads
5. Group your leads in segments for more accurate targeting

For market and business analysis

Our Web Scraping Data on companies gives information about millions of businesses, allowing you to evaluate your competitors.

Use cases

1. Know your competitors
2. See your competitors' size, headcount, and revenue
3. Come up with a data-driven strategy for the next quarter

For Investors

We recommend Web Scraping Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global Web Scraping Data.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies looking for the next investment
3. Check if a startup is about to reach its maturity
4. Predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

Web Scraping Data saves time your employees would otherwise use it to find potential clients and choose the best prospects manually.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

➡️ You can choose from multiple data formats, delivery frequency options, and delivery methods;

➡️ Extensive datasets with job postings data from 5 leading B2B data sources;

➡️ Jobs API designed for effortless search and enrichment (accessible using a user-friendly self-service tool);

➡️ Fresh data: daily updates, easy change tracking with dedicated data fields, and a constant flow of new data;

➡️ You get all necessary resources for evaluating our data: a free consultation, a data sample, or free credits for testing the API.

✅ For HR tech

Job posting data can provide insights into the demand for different types of jobs and skills, as well as trends in job postings over time. With access to historical data, companies can develop predictive models.

✅ For Investors

Explore expansion trends, analyze hiring practices, and predict company or industry growth rates, enabling the extraction of actionable strategic and operational insights. At a larger scale of analysis, Job Postings Data can be leveraged to forecast market trends and predict the growth of specific industries.

✅ For Lead generation

Coresignal’s Job Postings Data is ideal for lead generation and determining purchasing intent. In B2B sales, job postings can help identify the best time to approach a prospective client.

➡️ Why 400+ data-powered businesses choose Coresignal:

1. Experienced data provider (in the market since 2016);
2. Exceptional client service;
3. Responsible and secure data collection.

This Private Company Data dataset is a refined version of our company datasets, consisting of 35M+ data records.

It’s an excellent data solution for companies with limited data engineering capabilities and those who want to reduce their time to value. You get filtered, cleaned, unified, and standardized B2B private company data. This data is also enriched by leveraging a carefully instructed large language model (LLM).

AI-powered data enrichment offers more accurate information in key data fields, such as company descriptions. It also produces over 20 additional data points that are very valuable to B2B businesses. Enhancing and highlighting the most important information in web data contributes to quicker time to value, making data processing much faster and easier.

For your convenience, you can choose from multiple data formats (Parquet, JSON, JSONL, or CSV) and select suitable delivery frequency (quarterly, monthly, or weekly).

Coresignal is a leading private company data provider in the web data sphere with an extensive focus on firmographic data and public employee profiles. More than 3B data records in different categories enable companies to build data-driven products and generate actionable insights. Coresignal is exceptional in terms of data freshness, with 890M+ records updated monthly for unprecedented accuracy and relevance.

Our Business Listings Data dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For market and business analysis

Our Business Listings Data gives information about millions of companies, allowing you to find your competitors and see their weak and strong points.

Use cases

1. Pinpoint your competitors
2. Learn about your competitors' size, headcount, and revenue
3. Prepare a data-driven plan for the next quarter

For Investors

We recommend Business Listings Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global Business Listings Data.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase
4. Identify and predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

Business Listings Data saves time your employees would otherwise use it to manually find potential clients and choose the best prospects.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

Our Web Data dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For lead generation

With millions of companies worldwide, Web Company Database helps you filter potential clients based on custom criteria and speed up the conversion process.

Use cases

1. Filter potential clients according to location, size, and other criteria
2. Enrich your existing database
3. Improve conversion rates
4. Use predictive models to identify potential leads
5. Group your leads in segments for more accurate targeting

For market and business analysis

Our Web Company Data provides information about millions of companies, allowing you to find your competitors and see their weaknesses and strengths.

Use cases

1. Pinpoint your competitors
2. Learn about your competitors' size, headcount, and revenue
3. Prepare a data-driven plan for the next quarter

For Investors

We recommend B2B Web Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global B2B Web Dataset.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase
4. Identify and predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

B2B Web Database saves time your employees would otherwise use to search for potential clients manually.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

Use Coresignal's Company API to explore and filter our extensive, regularly updated Companies dataset directly. Easily integrate this API into your workflow or use it to look up specific company records on demand. This tool is perfect for enhancing investing and lead generation efforts.

Two ways to use Company API

1. Search. Use specific parametric filters, such as location, industry, size, or specific keywords to narrow down your search and pull URL lists.

2. Enrichment. Enrich your data using specific URLs or IDs to pull full records thanks to the 1:1 type matching.

The Metal Multi-core Signal Connector report provides a detailed analysis of emerging investment pockets, highlighting current and future market trends. It offers strategic insights into capital flows and market shifts, guiding investors toward growth opportunities in key industry segments and regions.

The global market for plastic multi-core signal connectors is experiencing robust growth, driven by the increasing demand for high-speed data transmission and miniaturization in various industries. The market, estimated at $5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $8.5 billion by 2033. This growth is fueled by several key factors, including the proliferation of electronic devices, the rise of the Internet of Things (IoT), and the expansion of automotive and industrial automation sectors. The increasing need for reliable and high-performance connectors in these applications is driving innovation in connector design, leading to the development of smaller, lighter, and more efficient plastic multi-core signal connectors. Furthermore, the adoption of advanced materials and manufacturing techniques contributes to the improvement of connector durability and performance. Major players like TE Connectivity, Molex, Amphenol, and Hirose Electric are key contributors to this growth, leveraging their established market positions and extensive product portfolios. However, the market also faces certain challenges. Fluctuations in raw material prices and potential supply chain disruptions can impact production costs and market stability. Competitive pressures from emerging manufacturers and the need for continuous technological advancements to meet evolving industry standards also pose constraints on market growth. Despite these challenges, the long-term outlook for the plastic multi-core signal connector market remains positive, driven by the sustained growth in its key application areas. Segmentation by connector type (e.g., rectangular, circular), application (e.g., automotive, industrial automation, consumer electronics), and region offers opportunities for targeted market penetration and further growth.

The Plastic Multi-core Signal Connector report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportunities, allowing businesses to tailor their market entry strategies and maximize growth in specific regions.

Our datasets of Company and Employee data complement each other very well, offering a broader perspective and an in-depth look. All data is collected from the largest professional network and updated every day. That's why it fits more than one purpose.

For Market Research

Obviously, doing market research on your own is no longer viable. Only dealing with the big data can give you an edge over competitors.

Use cases

1. Real-time insights into consumer behavior
2. Improved accuracy over traditional market research
3. Helps with more compelling and targeted marketing campaigns
4. Allows to assess the effectiveness of your marketing strategies
5. Increased conversion rate

For Investors

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global Employee Data and Company Data.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase
4. Identify and predict a startup's potential at the founding moment

For HR tech

Coresignal’s global Employee Data and Company Data enable you to make intelligent talent acquisition possible by building or improving AI-based talent-sourcing solutions.

Use cases

1. Build AI-based tools
2. Find qualified candidates
3. Enrich existing hiring data
4. Reduce hiring costs
5. Minimize the chance of unqualified hires

The global Labor Market Intelligence Platform market is projected to grow from USD 3,455.3 million in 2025 to USD 10,842.8 million by 2033, exhibiting a CAGR of 16.5% from 2025 to 2033. The market growth is primarily driven by the increasing demand for data-driven insights into labor market trends, skills gaps, and talent availability. The rising adoption of cloud-based platforms, the growing need for talent management and workforce planning, and government initiatives to enhance labor market efficiency are further contributing to market expansion. North America is expected to dominate the Labor Market Intelligence Platform market throughout the forecast period, owing to the presence of well-established vendors, early adoption of technology, and a large pool of skilled professionals. Asia Pacific is anticipated to witness significant growth in the coming years, driven by the increasing demand for talent in emerging economies and government initiatives to improve labor market information systems. The key players in the market include LinkedIn, Lightcast, Claro Analytics, Coresignal, Horsefly, Chmura, Talismatic, Textkernel, WageScape, Liepin, BOSS Zhipin, 51Job, and Zhilian Zhaopin. These companies offer a range of solutions to meet the diverse needs of organizations, including data-driven insights, talent management tools, and recruitment solutions.

We recommend our Company Funding Data and Investors Data not only for investors but also for market researchers and lead generation companies. This data comes from Owler, Wellfound, and 3 more sources.

👉 Investors Data use cases:

1. Generate business opportunities. Identify recently funded companies that are growing and showing market potential. Learn which sectors are attracting the most investment.

2. Screen investment candidates. Data points from categories such as investor information and company identifiers help you spot valuable opportunities. You can also find startups that are yet to raise any funds.

3. Get a better understanding of the market landscape and its trends. Utilize Company Funding Data, such as funding rounds, acquisitions, and investor information for market research and analysis.

4. Evaluate your competition and track its performance. Learn how much funding they are raising and how quickly they grow.

We also recommend combining Investors Data with our Firmographic Data for a complete business picture.

For talent sourcing and HR intelligence

Coresignal’s global Employee Data enables you to make intelligent talent acquisition possible by building or improving AI-based talent-sourcing solutions.

Our Web Data contains information such as employees' interests and activities, recommendations, education, job experience, and more.

Use cases

1. Build AI-based HR tools
2. Find qualified candidates
3. Enrich existing hiring data
4. Reduce hiring costs
5. Minimize the chance of unqualified hires

For lead enrichment

Access to a list of 712M+ employees helps you build the best prospect list. With work experience, location, industry, and connections, among other data points, lead enrichment becomes much more accessible.

Use cases

1. Increase conversion rates
2. Identify people ready for the next step in their career
3. Improve your acquisition processes
4. Create more accurate customer or employee profiles
5. Increase the efficiency of lead-sourcing strategies

Combine Employee Data with our Job Postings Data (260M+ records) for improved competitive intelligence and talent analytics.