After Proxycurl's shutdown, many businesses that relied on B2B data APIs began evaluating replacement options. If you're looking for a Proxycurl alternative, two names that stand out are Coresignal and NinjaPear.
While both companies offer B2B data products, they differ in their datasets, APIs, delivery options, and intended use cases. This article, just like Coresignal vs Proxycurl, compares Coresignal with NinjaPear to help you understand how the two providers differ and which may be the better fit for your data needs after Proxycurl's shutdown.
What was Proxycurl?
Proxycurl was an API-first B2B data platform developed by Nubela that provided APIs for accessing and enriching people and company data. Its products included APIs for retrieving information associated with professional profiles and company pages, making it a popular option for businesses building data-driven sales, recruiting, and enrichment workflows.
In July 2025, Nubela, the company behind Proxycurl, announced that Proxycurl was shutting down. As a result, businesses that relied on the platform began evaluating replacement solutions. That’s why if you're looking for Proxycurl alternatives, two main options you may encounter are Coresignal and NinjaPear.
The rest of this article focuses on Coresignal vs. NinjaPear: their B2B data options, APIs, delivery types, supported use cases, and overall fit for organizations replacing Proxycurl.
Proxycurl pros and cons
Before Proxycurl was shut down, it was a popular B2B data platform. Below are some of its main advantages and downsides.
Pros
- Developer-focused REST APIs for integrating people and company data into custom applications and workflows.
- Credit-based pricing model with transparent API usage.
- APIs for people, companies, contact enrichment, and search use cases.
- Bulk data access through the LinkDB dataset for organizations requiring large-scale data delivery.
- Designed for programmatic access, making it suitable for API-driven products and internal tools.
Cons
- Proxycurl was discontinued in 2025, meaning it is no longer available for new or existing implementations.
- As an API-first platform, it was primarily designed for developers rather than users looking for a built-in interface or workflow management features.
- Organizations needing additional datasets or broader go-to-market signals may need to evaluate alternative providers depending on their specific use case.
Why Proxycurl shut down
In January 2025, LinkedIn filed a lawsuit against Nubela, Proxycurl, and other defendants. LinkedIn alleged that Proxycurl violated its User Agreement through the unauthorized creation of fake accounts and the scraping of LinkedIn member data.
On July 4, 2025, Nubela announced that it was shutting down Proxycurl. In its announcement, the company said the decision followed the legal dispute with LinkedIn and that it would instead focus on developing NinjaPear. Nubela also stated that shutting down Proxycurl was part of complying with the legal settlement.
What changed after Proxycurl’s shutdown
Following Proxycurl's shutdown, businesses that relied on its APIs had to evaluate alternative providers based on their specific data requirements and integration needs.
Coresignal and NinjaPear are some of the main alternatives. While NinjaPear represents Nubela's post-Proxycurl direction, Coresignal offers B2B data APIs, datasets, jobs data, historical data, and infrastructure designed for AI and large-scale data applications.
What is Coresignal?
Coresignal is a public web data provider that delivers structured B2B data through APIs and large datasets. It offers company data, employee and professional data, job posting data, and social media post data, enabling organizations to build, enrich, and power data-driven products and workflows.
Organizations can access Coresignal's data through multiple APIs, including:
For large-scale projects, Coresignal also provides full datasets that support data enrichment, analytics, AI development, and internal data pipelines.
One of Coresignal's key strengths is its ethical sourcing and broad public web data coverage. In addition to current data, the provider offers historical datasets, real-time API access, structured data formats, and infrastructure designed for AI applications and large-scale data processing.
Coresignal is particularly well suited for data teams, AI teams, product teams, HR tech providers, sales technology companies, investment research, and market intelligence. It is also a strong fit for organizations building internal data pipelines or developing data-driven products that require structured public web data at scale.
As Coresignal collects only publicly available data and is certified by the Ethical Web Data Collection Initiative, it represents a significantly lower compliance risk than Proxycurl, whose data collection methods relied on unauthorized account creation and scraping behind authentication barriers.
What is NinjaPear?
NinjaPear is Nubela's current B2B company data platform and the company's primary product following the shutdown of Proxycurl. It provides company and people data through APIs and workflow tools, supporting use cases such as company and employee data enrichment, customer and competitor discovery, monitoring, and work email lookup.
NinjaPear also includes company funding and product data, spreadsheet-style workflows, and API access for integrating data into existing applications and processes.
NinjaPear is particularly relevant for businesses that previously used Proxycurl or are already familiar with Nubela's products. However, it is not the same product as Proxycurl. Instead, it represents Nubela's post-Proxycurl direction, so organizations evaluating a Proxycurl alternative may also consider providers such as Coresignal depending on their data needs.
Coresignal vs NinjaPear after Proxycurl: quick comparison
Both Coresignal and NinjaPear provide B2B data through APIs, but they differ in the types of data they offer, delivery methods, and the use cases they support. Because Proxycurl itself is no longer an active product, we focused on available competitors. The comparison below looks at key criteria, including data coverage, API offerings, datasets, job data, enrichment capabilities, competitive intelligence features, delivery options, and overall fit for different business needs.
Data coverage and data types
Coresignal and NinjaPear share a common ground by offering company and people data through APIs. However, their overall data coverage differs based on the types of datasets and use cases each provider emphasizes.
- Coresignal provides access to company data, employee and professional data, job posting data, social post data, and historical datasets. This combination makes the provider suitable for organizations that require public web data for analytics, AI training, market intelligence, and large-scale data processing in addition to data enrichment.
- NinjaPear focuses on company and people data, while also offering work email lookup, company funding and product data, customer and competitor intelligence, and monitoring capabilities. Its main purpose is geared toward enrichment workflows, customer discovery, competitor research, and ongoing company monitoring.
Beyond company and people data, their focus splits. Coresignal extends its public web data coverage with dedicated job posting, social post, and historical datasets, while NinjaPear places greater emphasis on enrichment, work email lookup, competitive intelligence, and workflow-oriented data access.
API and integration options
Both Coresignal and NinjaPear provide APIs, making them suitable for organizations replacing Proxycurl with programmatic access to B2B data. However, their API offerings are designed to support different types of workflows.
- Coresignal provides dedicated APIs for company, employee, job posting, and agentic search data, alongside datasets for organizations that need to integrate large volumes of structured public web data into internal systems. This combination makes the provider well suited for analytics, AI and machine learning, HR tech, sales technology, investment research, and other data-intensive applications.
- NinjaPear offers APIs for company and employee data, along with endpoints for work email lookup, customer and competitor discovery, monitoring, and related enrichment workflows. Its platform is designed to help users retrieve and enrich information about specific companies or people while supporting ongoing monitoring and competitive intelligence.
The key difference is not simply whether each provider offers APIs, but what those APIs are intended to support. Coresignal emphasizes scalable data access through APIs and datasets for building internal data products and pipelines, while NinjaPear focuses on enrichment, entity lookups, and workflow-oriented API use cases.
Data delivery: real-time API, datasets, and enrichment workflows
Although both Coresignal and NinjaPear provide real-time API access, they differ in how data is delivered and the types of projects their delivery models are designed to support.
- Coresignal combines real-time APIs with datasets, historical data, and structured file formats, giving organizations flexibility in how they consume public web data. This delivery model is well suited for processing large data volumes, building enrichment pipelines, training AI and machine learning models, supporting analytics, and maintaining long-term data warehouses.
- NinjaPear primarily delivers data through APIs and workflow-based tools designed for retrieving and enriching information about specific companies and people. Its platform also supports spreadsheet-style workflows and monitoring capabilities, making it suitable for targeted lookups, work email enrichment, customer and competitor discovery, and ongoing company monitoring.
As a result, the main difference lies in the scale and purpose of data delivery. Coresignal supports both real-time access and large-scale dataset delivery for technical and data-intensive use cases, while NinjaPear focuses on API-driven enrichment and workflow-oriented access for operational and go-to-market activities.
Use cases: when to choose Coresignal or NinjaPear
Both Coresignal and NinjaPear support a range of B2B data use cases, but they are designed with different priorities in mind. The right choice depends on the type of data you need, how you plan to use it, and the workflows you want to support. The sections below outline the scenarios where each provider is the better fit.
Building data-driven products and internal data pipelines
Coresignal is well suited for organizations building data-driven products, internal data platforms, or custom enrichment pipelines. Its APIs, datasets, historical data, and structured public web data support large-scale analytics and long-term data infrastructure.
NinjaPear is geared more toward API-based enrichment, company intelligence, and monitoring workflows than bulk data delivery.
Verdict: if your primary need is large-scale public web data delivered through APIs and datasets, Coresignal is likely the better fit. If you primarily need enrichment and entity-focused workflows, NinjaPear may be more suitable.
AI and agentic workflows
Coresignal is well suited for AI teams that require structured public web data for model training, lead scoring, company classification, talent matching, hiring trend analysis, and other AI-driven applications. Alongside large-scale datasets, it also offers the Agentic Search API for AI-powered workflows.
NinjaPear supports AI agents through API-based enrichment and entity lookups, making it suitable for workflow automation and retrieving information about specific companies or people.
Verdict: Coresignal is the stronger choice for AI applications that rely on large-scale, structured data. NinjaPear is better suited as an enrichment layer for AI-driven workflows.
Market intelligence and company research
For organizations tracking industries and market developments, Coresignal combines company, employee, jobs, and social post data to uncover hiring trends, company growth, and broader market signals.
NinjaPear focuses on company intelligence through funding data, customer and competitor information, and monitoring capabilities, making it useful for researching and tracking specific organizations.
Verdict: Coresignal is the stronger choice for market intelligence and trend analysis. NinjaPear is better suited for researching and monitoring specific companies.
Talent intelligence and workforce analytics
Workforce analytics requires visibility into both professionals and hiring activity. By combining employee data with job posting data, Coresignal enables talent mapping, hiring trend analysis, skills demand research, and recruitment signal tracking.
NinjaPear supports people enrichment, employee search, and work email lookup, making it useful for retrieving information about individual professionals.
Verdict: Coresignal is the stronger choice for workforce analytics and hiring intelligence. NinjaPear is better suited for person-level enrichment and sourcing.
Investment research and company growth signals
Coresignal brings together multiple public web datasets – including company, employee, jobs, social post, and historical data – to help identify hiring momentum, company growth, sector trends, and emerging market signals.
NinjaPear provides company information alongside funding, customer, competitor, and monitoring data, making it useful for researching individual companies and tracking their development.
Verdict: Coresignal is the stronger choice for large-scale investment research and growth signal detection. NinjaPear is better suited for company-specific intelligence and monitoring.
Sales intelligence and lead enrichment
For sales and RevOps teams, Coresignal can serve as the data layer behind lead scoring, account segmentation, enrichment, and growth signal detection. It is particularly valuable when these capabilities are integrated into internal systems or sales technology products.
NinjaPear supports company and people enrichment, work email lookup, customer discovery, and API-based workflows for retrieving information about specific companies or contacts.
Verdict: Coresignal is the stronger choice for building scalable sales intelligence and enrichment capabilities. NinjaPear is better suited for targeted enrichment workflows and contact lookups.
Competitive intelligence and customer discovery
Competitive intelligence often relies on combining multiple business signals rather than individual lookups. Coresignal enables this through company, employee, jobs, and social post data that can be analyzed to monitor markets, competitors, and organizational changes at scale.
NinjaPear includes dedicated capabilities for customer discovery, competitor discovery, and company monitoring, making it convenient for researching specific organizations and tracking their competitive landscape.
Verdict: NinjaPear is the stronger choice for out-of-the-box competitor and customer discovery. Coresignal is the stronger choice for building custom competitive intelligence models and large-scale market monitoring powered by public web data.
Pricing comparison
Both Coresignal and NinjaPear offer free trials and credit-based API pricing, but they are designed around different purchasing models. Coresignal combines self-service API subscriptions with separately priced datasets, allowing organizations to choose between real-time API access and large-scale data delivery depending on their use case. Enterprise customers can also request custom plans for larger projects.
NinjaPear also uses a credit-based pricing model, with subscription tiers as well as pay-as-you-go credits for more occasional usage. Its pricing is closely tied to API endpoint usage and enrichment workflows, making it a good fit for organizations that primarily perform targeted lookups rather than consume large datasets. For teams building data products, AI applications, or analytics platforms, Coresignal's combination of APIs and datasets generally provides greater long-term flexibility and value.
Which platform is better for your team?
If you’re not sure if it’s better to go with Proxycurl’s successor or a third-party API provider, below is a quick summary to help you decide.
Choose Coresignal if your team:
- Needs large-scale public web data delivered through APIs or datasets.
- Wants company, employee, jobs, social post, and historical data in one.
- Is building AI applications, analytics platforms, internal data pipelines, or custom data products.
- Requires structured data for large-scale enrichment, market intelligence, or investment research.
- Needs flexible delivery options for technical and non-technical teams and enterprise data workflows.
Choose NinjaPear if your team:
- Primarily needs company or people enrichment through APIs.
- Relies on work email lookup and contact enrichment.
- Wants built-in customer and competitor discovery capabilities.
- Needs monitoring workflows for tracking companies and competitive activity.
- Prefers API-driven enrichment and pay-as-you-go workflows for targeted lookups.
Final verdict
For organizations looking for Proxycurl alternatives, Coresignal is a strong choice when the priority is scalable access to structured public web data. Its combination of APIs, bulk datasets, historical data, and broad B2B coverage makes it well suited for building AI applications, analytics pipelines, internal data infrastructure, and other data-driven products.
NinjaPear remains a relevant option for teams that are familiar with the Proxycurl ecosystem or primarily need enrichment, customer discovery, and competitive intelligence workflows. Ultimately, the right provider depends on your use case, but organizations looking beyond point enrichment toward long-term B2B data infrastructure will generally find Coresignal to be the more comprehensive solution.
