Coresignal vs People Data Labs

The main People Data Labs (PDL) competitors are Coresignal, Proxycurl and Mixrank. Out of these companies, PDL can provide the most employee profiles, Coresignal offers the largest company profile database and multi-source company data with 300+ enriched data points, while Mixrank has the most jobs postings.

Yes, Coresignal can be a strong alternative to People Data Labs, particularly for companies that prioritize data freshness, multi-source coverage, or needs jobs data. Coresignal provides access to large-scale public web data across company, employee, and job posting datasets.

In addition, Coresignal offers both datasets and APIs, allowing teams to either analyze large volumes of historical data or retrieve specific records on demand. This flexibility makes it suitable for use cases such as market research, lead generation, and investment analysis.

The right choice depends on your use case and the type of data your product or team relies on.

Choose Coresignal if you need:

• Company intelligence and job market data
• Real-time APIs for dynamic data access
• Multi-source datasets for analytics and AI applications

Choose People Data Labs if you need:

• Large-scale employee data for enrichment
• Identity resolution workflows
• Person-level datasets

Both providers operate in the same space, but their strengths differ. Coresignal is better suited for broader business intelligence and market analysis, while People Data Labs is often a fit for teams focused on individual-level data enrichment and identity matching.

To start off, Coresignal has more company profiles, while People Data Labs offers way more employee records. However, Coresignal distinguishes itself with 495M+ job posting records.

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When it comes to new records, Coresignal discovers 18M+ new records, but People Data Labs has yet to specify this number.

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Finally, Coresignal is ready to deliver data in JSON, CSV, Parquet, and other formats. In the meantime, People Data Labs are still offering just JSON.

There are quite a few ways that businesses use company and people data. 

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Company data helps investors make educated decisions and provides unique business insights to C-level managers. Its data points include company name, location, headcount, size, and more. At the same time, company data could be used for market research, lead enrichment, or competitive analysis. 

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Company data providers such as Coresignal or People Data Labs provide global company databases that unlock new opportunities for investment companies, salespeople, and market researchers.

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Employee data helps HR experts with talent sourcing, data enrichment, and tracking talent movement. It comes with data points such as location, job title, education title, and experience.

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You can learn more about different datasets.

Coresignal offers fresh datasets real-time enrichment via APIs, which covers most business use cases.

Through its API products, you can retrieve up-to-date records on demand, making it suitable for applications that require dynamic data access. At the same time, its datasets are updated on a regular basis, ensuring data remains current and reliable.

In practice, this means:

• APIs support on-demand access to the latest available data
• Datasets are continuously refreshed
• Updates happen at scale, with millions of records refreshed regularly

This combination is perfect for most analytics, lead generation, and product use cases.

Yes. Testing data quality before committing is a standard part of the evaluation process.

Coresignal typically provides a free trial on self-service and data samples so you can review the structure, coverage, and accuracy before making a decision. This allows you to assess whether the dataset fits your specific use case, whether that is lead generation, analytics, or product development.

Evaluating a sample helps you:

• Verify data fields and schema
• Check accuracy and completeness
• Understand how well the data aligns with your business goals

If a provider does not offer a sample, that is usually a red flag. In the B2B data space, transparency and the ability to validate data upfront are essential for making an informed choice.

Getting started with Coresignal is a straightforward process, but it helps to approach it with a clear understanding of your data needs.

1. Define your use case
Start by identifying what you want to achieve with the data. For example, you might need it for lead generation, market research, recruitment insights, or building a data product. This will determine which datasets or APIs are relevant.

2. Choose the right data access method
Coresignal offers two main options:

• APIs for on-demand, targeted data retrieval
• Datasets for large-scale analysis and historical data exploration

If you're in an early stage or testing a concept, getting a dataset is often the easiest way to begin.

3. Request a data sample or start a trial
Before committing, request a sample to evaluate data quality, structure, and coverage. This step ensures the data aligns with your expectations and technical requirements.

You can also register for a free account and test the data for free using no-code tools.

4. Talk to the team
Coresignal typically provides guidance on selecting the right dataset or API based on your goals. This can help you avoid overpaying for unnecessary data or missing critical data points.

5. Integrate and scale
Once you've selected a solution, integrate the data into your workflows or systems. You can start small and scale usage as your needs grow, whether that means increasing API usage or working with full datasets.

In short, the process moves from defining your goals to testing the data, and then integrating it into your product or analysis pipeline.