What is B2B Data?
B2B data is information about companies and professionals used for sales, marketing, research, and analytics. It comes from sources like company websites, business registries, government filings, job boards, professional networks, and third-party providers that collect and organize this information.
Here are several ways in which B2B data is useful for sales, marketing, and analytics teams:
- Identifying and prioritizing prospects
- Enriching and maintaining lead lists
- Monitoring competitors’ moves
- Tracking hiring trends and funding news
- Building go-to-market strategies
Common Types of B2B Data
Not all B2B data serve the same purpose. The data you need depends on your specific use case, such as prospecting, market research, or building a data product. Often, you will use several data types together to achieve your goals. Below are the most common types.
- Company data: basic details about a business, such as its name, industry, size, location, estimated revenue, and how it is organized.
- Contact data: information about individual professionals, like their names, job titles, email addresses, phone numbers, and LinkedIn profiles.
- Firmographic data: number of employees, yearly revenue, funding stage, location, and industry type.
- Technographic data: the software and technology a company uses.
- Intent data: behavioral signals that suggest a company or individual is actively researching a topic or solution.
- Job posting and hiring signals: company growth, new projects, changes in technology, or moves into new markets surfaced before these changes are widely known.
- Funding, growth, and market signals: news about investments, changes in staff numbers, leadership changes, and other signs of business progress.
How to Get B2B Data
When buying data from a third-party provider, you can access it in two main ways: APIs or pre-compiled datasets.
- B2B data APIs allow you to search a provider’s database whenever you need and get organized results right away. They’re useful when you need immediate access to specific records, such as enriching incoming leads, verifying company information, powering AI agents or retrieving data for internal applications.
- B2B datasets are collections of records that have already been compiled and are available as downloadable files, usually in CSV, JSON, or Parquet format. You buy the dataset, download it, and then load it into your own systems. They’re better suited for large-scale analytics, machine learning projects, internal databases, and market research.
Interestingly, it often works best to combine both methods. For example, start with a dataset as your baseline to fill your internal database with broad coverage. Then, you can use API to enrich certain records as needed.
It’s also worth mentioning alternative options, such as sales intelligence platforms or web scraping tools. The former are easy to use but can be costly, less adaptable to technical needs, and often follow the platform’s workflow rather than your own. With web scraping tools, you can have full control over what and when you collect, but it typically requires a more hands-on approach than buying ready-made data
Comparison: B2B data APIs vs B2B datasets
Feature | B2B data APIs | B2B datasets |
Access method | On-demand requests | Downloadable files |
Best for | CRM enrichment, lead generation | Analytics, market research |
Data volume | Specific, targeted queries | Millions of records |
Freshness | Depends on the provider’s update frequency | Scheduled refreshes |
Integration | CRM, internal tools | BI systems, warehouses |
Pricing | Subscription / usage-based | One-time or contract-based |
Use case example | Enriching a new lead the moment they fill out a form | Building a training dataset for a candidate scoring model |
What to Look for in a B2B Data Provider?
The right provider can save countless hours of manual work. The wrong one can leave you with outdated records, missing data, and unreliable integrations.
Here are the main aspects you should consider when buying data from a B2B data provider:
- Data coverage: pay attention to how many records the provider maintains, and across which geographies, industries, and seniority levels.
- Data accuracy and freshness: How often is the data updated, and how reliable are the records? Look for providers that validate, deduplicate, and standardize data before delivery. Fresh records are especially important for lead generation, CRM enrichment, and AI applications.
- Available data points: check upfront what’s included in the base record and what requires additional credits or a separate purchase.
- Delivery method: make sure the delivery model fits your workflow, whether it’s APIs, downloadable bulk datasets, custom datasets, or webhooks.
- Integrations: review whether the provider connects to the tools you already use, such as CRM platforms, data warehouses, or cloud storage.
- Compliance and data sourcing: it should be clear where the data comes from and how it was collected. Providers with unclear collection practices create legal exposure.
- Pricing transparency: pricing should be publicly available. Watch for hidden costs as some providers charge extra credits for specific fields, such as experience descriptions or skills, which can make a competitively priced plan considerably more expensive at scale.
- Support and documentation: clear API references, schema guides, and query examples reduce integration time and help technical teams avoid failures.
Before we dive into the list, here’s a quick guide on when to choose an API versus a dataset:
| Company Data APIs | Company Datasets | |
| Sources | Data is pulled from a variety of sources, including business registries, news, public records, databases, and company websites. | Data is typically sourced from similar business registries, public records, and third-party data providers, and is pre-compiled. |
| Data formats | Raw HTML, JSON, XML, CSV, or custom formats based on the API. | CSV, JSON, SQL, or other structured file formats like Parquet. |
| Delivery frequency | Real-time if you’re using a web scraping API. | Typically available as a one-time download or on a set schedule (monthly, quarterly, or custom frequency). |
| Integration | Can be integrated into CRM systems, websites, marketing automation platforms, and internal tools through API calls. | Downloadable datasets can be manually or programmatically imported into analytics tools, databases, or cloud storage solutions. |
| Best for | Businesses that need real-time, dynamic access to company data for applications like CRM, lead generation, or competitive intelligence. | Ideal for in-depth analysis, market research, and situations where large, static datasets are needed for bulk analysis. |
The Best B2B Data Providers
1. Coresignal
Best for real-time b2b data collection at scale

Available tools
Company, employee, jobs datasets, and data APIs, Agentic Search API

Refresh frequency
Real-time API access, daily, weekly, monthly, quarterly
- Data formats: JSON, JSONL CSV, Parquet, Other (upon request)
- Pricing model:
– Datasets: One-year contract, one-time purchase
– Data API: Subscription, monthly payments - Pricing structure:
– Datasets: custom
– Data API: credit system (two types of API credits: data collection credits and search credits) - Support: contact form, dedicated account manager (for subscribers and dataset users), tech support
- Free trial:
– Data API: 200 credits for 7 days - Starting price:
– Datasets: $1,000
– Data API: $49/month
Coresignal is a B2B data provider with more than 4.5 billion records, covering employee profiles, job listings, and company data.
Let’s start by saying that Coresignal’s data is collected from multiple sources, deduplicated, cleaned, and normalized, reducing the engineering work customers need to do internally and ensuring records are accurate and ready for AI models and scoring systems.
Moreover, what really sets them apart from other providers is the freshly-unveiled Agentic Search API, which is built for teams developing AI-powered workflows. Rather than learning a query language, you simply describe what you need in plain English and receive clean, structured data in return. Coresignal also offers an MCP Server that connects directly to its multi-source datasets with zero custom integration required.
On the performance side, the provider claims its API averages 176 ms response time and delivers real-time data. Webhooks deliver event-driven updates when data changes, removing the need to repurchase full datasets to detect shifts.
Coresignal is certified by the Ethical Web Data Collection Initiative and collects only publicly available, business-related data, which is a meaningful quality indicator.
For more information and performance tests, read our Coresignal review.
2. Bright Data
Excellent infrastructure for in-house data extraction.

Available tools
Web access APIs, web scraping tools, proxy services, and datasets

Refresh frequency (datasets):
one-time, bi-annually, quarterly, monthly
- Data formats:
– Company data APIs: JSON & CSV
– Datasets: JSON, ndJSON, CSV & XLSX - Pricing model:
– Web Scraper API: subscription or pay as you go
– Datasets: one-time purchase, or biannual, quarterly, monthly - Pricing structure: based on records
- Support: 24/7 via live chat, dedicated account manager
- Free trial: 7 days for Playground mode
- Starting price:
– Web Scraper API: $1/1K records
– Datasets: $250 for 100K records
Bright Data is another prominent provider, whose main strength comes from its excellent proxy network and their web scraping infrastructure. It gives teams a solid base for building and managing their own data pipelines.
Their Web Scraping API takes care of common challenges in custom data collection, like proxy rotation, getting past anti-bot systems, handling JavaScript, and adapting to website changes. This reduces the work needed to maintain your own scraping setup.
On the proxy side, Bright Data runs a network of over 400 million residential IPs, letting you target by country, city, carrier, or ASN. This is useful for developers who need detailed geographic coverage or want to route requests through certain network conditions.
All in all, Bright Data will do a great technical job if you want control over your data collection. It focuses on infrastructure, giving developers the tools to build their own workflows.
3. People Data Labs
Best for enriching customer and prospect data.

Available tools
Person, Company APIs & Data Feeds, Job Posting Data Search API (Beta)

Refresh frequency (datasets):
monthly
- Data formats: JSON
- Pricing model:
– Data APIs: monthly/annual payments
– Bulk Data: custom pricing - Pricing structure: based on records
- Support:
– Standard support 8am – 5pm Pacific Time
– Privacy Support
– Enterprise plans include assistance from a dedicated customer success manager - Free trial: testing APIs with up to 100 monthly records
- Price:
– Company Data starts at $100/mo
– Person Data starts at $98/mo
People Data Labs (PDL) specializes in people data, making it a good choice for teams focused on contact and employee data enrichment. Their dataset includes a wide range of professional details, so enrichment pipelines get reliable coverage for individual records.
In addition to employee data, PDL provides company and jobs data, which helps teams combine different data sources. Their job postings product is still in beta, so teams with advanced jobs data needs should keep that in mind.
PDL works best in enrichment workflows that aim to fill gaps in an existing database. It matches known contacts with a large people dataset to add missing details like job title, employer, or work history.
4. MixRank
Best for fresh B2B intelligence data.

Available tools
People Data, Mobile App & SDK data, Company Data, Web Technographics

Refresh frequency (datasets)
hourly updates of the company and people databases
- Data formats: JSON, CSV & PostgresSQL
- Pricing model:
– Data Feed Pricing
– Data API Pricing - Pricing structure: record-based monthly pricing
- Support: Email, dedicated Slack channel
- Free trial: available for Mobile Apps & SDK Platform
- Price: Data APIs $1,000/month
If your team needs to know what technologies a company uses or wants to track personnel changes, MixRank offers data that goes further than typical professional profiles.
Their B2B database includes over 800 million data points and scans five million profiles each day. As a result, it’s well suited for monitoring fast-moving signals such as job changes, hiring activity, and shifts in a company’s technology stack.
A key feature is URL tracking. MixRank keeps a record of every profile URL change it finds, so teams can fix broken records and keep their databases accurate without having to do it by hand.
For infrastructure, MixRank gives you flexible ways to get data, like API, flat files or a hosted database. Their on-premise data warehousing supports teams that need to handle large amounts of data at a good price.
5. ZoomInfo
All-in-one sales intelligence platform.

Available tools
Professional profiles, Company Records, Intent Signals, Technographics

Refresh frequency
periodic/continuous updates delivered within minutes of signal detection
- Data formats: JSON, CSV
- Pricing model: not publicly available
- Pricing structure: not publicly available
- Support: mobile phone, contact phone
- Free trial: 7-day free trial for new users: contact and company search, intent signals, and email outreach, with usage limits.
- Price: not publicly available
Instead of just providing data, ZoomInfo brings together company and contact information, intent signals, workflow tools, and AI-powered features into a single platform.
You’ll get intent data that tracks over 4,500 topics and monitors 85 million signals each week. This helps you find accounts that are researching a category before they reach out to competitors. For go-to-market teams, this means they can identify potential leads earlier in the sales process.
ZoomInfo has a wide range of data privacy certifications. These standards are applied every time a record is updated, not just when the data is first collected.
If your team is looking to have data, intent signals, and GTM workflow tools all in one place, ZoomInfo offers a lot of features.
6. Dun & Bradstreet (D&B)
Trusted business data for risk and compliance.

Available tools
Scores, Ratings, and Models Small Business Products Public Sector Products

Refresh frequency
not specified
- Data formats: not specified
- Pricing model: not publicly available
- Pricing structure: not publicly available
- Support: contact form
- Free trial: available on request
- Price: small business products start at $15.00
Trusted business data for risk and compliance.Dun & Bradstreet has been a leading name in business data for many years, supporting organizations in sales, risk management, and compliance. Their long history shows in the depth of their company data and the strictness of their validation, with billions of quality checks each month.
One exceptional feature is the D-U-N-S Number, a unique nine-digit code given to each business. It helps map out corporate relationships and ownership worldwide. For teams dealing with complex company structures or compliance needs, this brings a level of clarity that few others offer.
It is also important that they gather data from global registries, trusted partners, and actual business activity, then check and validate it every month.
Thus, for organizations where data accuracy, compliance, and financial reliability are the primary requirements, Dun & Bradstreet remains a well-established and trusted option.