Best Proxycurl Alternatives (2026): LinkedIn Data APIs After the Shutdown

Proxycurl shut down on July 4, 2025, after LinkedIn and its parent company Microsoft sued the company behind it, Nubela, over large-scale scraping of member data. The API no longer works, sign-ups are closed, and its old docs and code samples should be treated as historical reference only (Nubela).

For years Proxycurl was the default way to turn a LinkedIn URL into structured JSON. If you built on it — or were about to — this guide covers what happened, the best Proxycurl alternatives in 2026 with current pricing, and how to migrate without repeating the same compliance mistake.

Key Takeaways

• Proxycurl is gone—it shut down in July 2025 after LinkedIn's lawsuit; there is no way to buy or use the API anymore
• Alternatives fall into three models—real-time scrapers (Bright Data, Apify, ScrapIn), data providers (Coresignal, People Data Labs), and account-based APIs (Unipile)
• Any tool that scrapes LinkedIn carries the same legal risk that ended Proxycurl—compliance, not price, is now the deciding factor
• Inbound approaches eliminate scraping entirely—prospects come to you with their data
• The best alternative depends on your use case: real-time lookups, bulk enrichment, or compliant lead generation

Why Look for Proxycurl Alternatives?

The most pressing reason is simple: Proxycurl no longer exists. But even before the shutdown, teams evaluated alternatives for reasons that still apply to any replacement you pick:

Availability: Proxycurl's July 2025 closure broke thousands of pipelines overnight — a reminder that any single-source LinkedIn API can vanish.

Pricing concerns: Credit-based models get expensive at scale. Proxycurl credits ran roughly $0.009–$0.02 each, so 1,000 profile lookups could cost $10–$100+ depending on the data type (Linked API).

Compliance questions: Any LinkedIn data scraping violates platform terms, creating legal and account risks — the exact issue that ended Proxycurl.

Feature gaps: Some teams need capabilities a raw scraping API never offered, like consented contact data, real-time monitoring, or the ability to act on an account (send messages or connection requests).

Top Proxycurl Alternatives Compared

1. Bright Data (Formerly Luminati)

Best for: Enterprise-scale data collection

Bright Data offers comprehensive web data solutions including LinkedIn capabilities:

Pros: Industrial-scale capacity, dedicated account management, comprehensive data coverage

Cons: Enterprise pricing excludes smaller teams, complex setup, ongoing compliance concerns

2. ScrapingBee

Best for: Developers wanting simple API access

ScrapingBee provides web scraping APIs with LinkedIn support:

Pros: Clean API, good documentation, reasonable starting price

Cons: LinkedIn-specific features limited, still requires compliance awareness

3. PhantomBuster

Best for: Marketing teams wanting no-code solutions

PhantomBuster offers pre-built LinkedIn automation "Phantoms" (covered in depth in our PhantomBuster alternatives guide):

Pros: Easy to use without coding, extensive LinkedIn coverage, workflow automation

Cons: Higher LinkedIn ban risk, automation features violate TOS, pricing adds up quickly

4. Evaboot

Best for: Sales Navigator users

Evaboot specializes in Sales Navigator data extraction (see our full Evaboot alternatives guide):

Pros: Specifically designed for Sales Navigator, includes email enrichment, clean exports

Cons: Requires Sales Navigator subscription, LinkedIn compliance concerns

5. Apollo.io

Best for: Sales teams wanting a complete platform

Apollo provides database access without direct LinkedIn scraping (compare options in our Apollo.io alternatives guide):

Pros: No direct LinkedIn scraping reduces risk, comprehensive sales platform, strong data quality

Cons: Data may be outdated, less LinkedIn-specific than Proxycurl

6. LinkedIn Sales Navigator API (Official)

Best for: Enterprise organizations requiring compliance

LinkedIn's official API provides sanctioned data access:

Pros: Zero compliance risk, official data accuracy, full platform support

Cons: Limited availability, restricted use cases, expensive enterprise pricing

Comparison Table: Proxycurl vs Alternatives

What Happened to Proxycurl? The LinkedIn Lawsuit Explained

Proxycurl shut down because LinkedIn sued it out of existence. In January 2025, LinkedIn and Microsoft filed suit in the U.S. District Court for the Northern District of California, alleging Proxycurl created hundreds of thousands of fake accounts to scrape millions of profiles — including non-public data — and resold that data through its API.

The complaint brought six claims, including breach of contract, fraud, and violations of the Computer Fraud and Abuse Act (CFAA). Rather than fight a company owned by Microsoft, Proxycurl settled and wound the service down, posting its goodbye on July 4, 2025. Founder Steven Goh said the company had bootstrapped to roughly $10M in annual recurring revenue with no venture funding to bankroll a legal defense (Nubela).

Goh has since said about half of Proxycurl's revenue came from scraping LinkedIn — an existential dependency once LinkedIn moved to enforce (Nubela founder update, 2026). He now builds NinjaPear, which deliberately does not scrape LinkedIn and uses company websites, not LinkedIn URLs, as its canonical identifier.

The lesson: a data business built entirely on unauthorized access to one platform carries existential risk. When you pick a replacement, weigh how likely it is to still exist next year.

The Three Types of Proxycurl Alternatives (2026)

There is no single drop-in replacement for Proxycurl. The market has split into three models, each with different freshness, pricing, and legal exposure. Match the model to your use case before comparing individual vendors.

• Real-time scrapers are the closest "profile URL → JSON" match for Proxycurl's core endpoint.
• Data providers win on bulk enrichment cost, but their data is pre-collected rather than live.
• Account-based APIs avoid a shared scraped database entirely, but actions run through a real account, so pacing and ban risk matter.

Proxycurl Alternatives Compared: 2026 Pricing

Here are the leading replacements, with pricing verified from each vendor's own pages in July 2026. Prices change often — confirm on the vendor site before you commit.

Where Proxycurl Was Genuinely Better

In fairness, Proxycurl was excellent at what it did, and most alternatives trade away something it got right.

• Developer experience: a single, well-documented REST endpoint returned clean, consistently structured JSON — faster to integrate than stitching together marketplace actors or dataset queries.
• LinkedIn-specific depth: purpose-built endpoints for profiles, companies, jobs, and roles, rather than generic web-scraping primitives.
• Predictable per-credit pricing: at roughly $0.009–$0.02 per credit, low-volume lookups were cheap and easy to reason about.
• Freshness on demand: live lookups meant data was current at request time, unlike pre-built datasets.

The catch is that every one of those strengths depended on scraping LinkedIn at scale — the exact practice that got it shut down. Any replacement that fully matches Proxycurl's convenience inherits the same legal exposure.

How to Migrate Off Proxycurl

If you still have Proxycurl code in production, treat migration as a one-time refactor rather than a like-for-like swap:

1. Add an abstraction layer. Put a thin interface in front of your data source so providers become swappable — you will likely need more than one.
2. Pick by use case, not brand. Single live lookups go to a real-time scraper; bulk lists to a dataset provider; reads plus actions to an account-based API.
3. Normalize the schema. Map each provider's fields back to your internal profile model at the API boundary.
4. Replace contact extraction with consented data. Use enrichment providers (Reverse Contact, People Data Labs) instead of pulling emails directly from profiles.
5. Backfill and re-pace. Re-enrich records lost in the shutdown, and respect each provider's rate limits — especially account-based APIs, where aggressive pacing risks the account.

Which Proxycurl Alternative Should You Choose? (By Role)

• Solo developer or indie hacker: Apify. Pay per result, no monthly minimum, and dozens of ready-made LinkedIn actors to test cheaply.
• Startup building a product feature: Unipile. An account-based API gives you live data plus the ability to act, without depending on a shared scraped database that could be litigated away.
• Enterprise data team: Bright Data or Coresignal. Volume pricing, a stronger compliance posture, and the legal track record to survive scrutiny.
• Sales or GTM team: Apollo.io or ZoomInfo. You get a full platform and verified contact data without touching LinkedIn's terms directly.
• Agency or freelancer running client outreach: skip raw data APIs entirely. An inbound, account-safe approach (below) protects the client accounts your business depends on.

The Compliance Reality

All unofficial LinkedIn data extraction violates platform terms. According to LinkedIn's User Agreement, scraping and automated data collection are prohibited.

Legal precedent: LinkedIn v. hiQ Labs established that LinkedIn can block scrapers, though public data questions remain legally complex.

Practical risks:

• Account termination without appeal
• IP blocking affecting all company access
• Potential legal action for commercial use
• Data accuracy degrades without maintained access

Enterprise exception: Official LinkedIn Marketing API and Sales Navigator API provide compliant access—but require partnership agreements and enterprise budgets.

The Alternative Approach: Inbound Lead Generation

Rather than scraping LinkedIn data, inbound strategies make prospects come to you—bringing their information voluntarily.

Why Inbound Beats Scraping

How Inbound Lead Generation Works

Instead of extracting data from LinkedIn profiles, inbound authority building:

1. Creates valuable content that attracts your ideal prospects
2. Engages authentically to build visibility and trust
3. Draws prospects to you through demonstrated expertise
4. Receives voluntary contact from interested leads

The prospect provides their information because they want to connect—not because you scraped it.

Real Comparison: Scraping vs Inbound Results

Based on ConnectSafely user data over 90 days:

Scraping-based outreach:

• 1,000 profiles scraped
• 15% email deliverability (bounces from stale data)
• 2% response rate
• 3-5 meetings booked

Inbound authority building:

• 50+ pieces of strategic content
• 200+ meaningful engagements weekly
• 20-30 inbound conversations monthly
• 8-12 qualified meetings monthly

Inbound produces 2-3x more meetings while building sustainable authority.

Choosing the Right Alternative

Choose a real-time scraping API (Bright Data, Apify) if:

• You need programmatic LinkedIn data for specific technical use cases
• Compliance risk is acceptable for your organization
• You have developer resources for API integration
• You accept that the vendor could face the same legal pressure that ended Proxycurl

Choose Apollo.io or databases if:

• You want contact data without direct LinkedIn scraping
• Sales platform integration matters more than LinkedIn-specific data
• Lower compliance risk is important
• You're building outbound sales workflows

Choose inbound lead generation if:

• You want sustainable lead flow without compliance concerns
• Relationship quality matters more than data quantity
• You're building long-term authority in your space
• LinkedIn restrictions concern you

ConnectSafely.ai: The Inbound Alternative

While Proxycurl and alternatives focus on extracting data, ConnectSafely.ai helps you build authority that attracts leads who want to connect.

Key differences:

• No scraping required: Prospects come to you with their information
• Full compliance: Works within LinkedIn's terms
• Higher quality leads: Inbound prospects have demonstrated interest
• Sustainable growth: Authority compounds over time

Instead of paying per profile for data of unknown quality, invest in building the authority that makes prospects seek you out. Plans start around $39/month with zero LinkedIn-ban risk, since nothing runs against LinkedIn's terms.

Frequently Asked Questions

What is Proxycurl used for?

Proxycurl provided API access to LinkedIn profile, company, and job data, translating LinkedIn URLs into structured JSON. Developers used it to enrich CRM records, build prospecting lists, verify employment, and power sales automation. The service shut down in July 2025, so these use cases now require an alternative provider.

Is scraping LinkedIn profiles legal?

The legal status remains complex. LinkedIn's terms prohibit scraping, and the platform actively blocks scrapers. However, courts have issued mixed rulings on public data access. For most businesses, the practical risks (account termination, blocked access) outweigh legal technicalities.

What's the cheapest Proxycurl alternative?

For free entry points, Apollo.io and Coresignal both offer free tiers, and Bright Data includes 5,000 free records per month. For low-volume paid scraping, Bright Data's pay-as-you-go starts at $1.50 per 1,000 records and Apify charges roughly $6–$10 per 1,000 profiles with no monthly minimum. Evaboot's Sales Navigator exports start at $9/month.

How do I get LinkedIn data without an API?

Options include: manual research (time-intensive but compliant), official Sales Navigator exports (limited but approved), database services like Apollo (third-party data), or inbound strategies where prospects provide their information voluntarily.

Is there a free LinkedIn data API?

No reliable free LinkedIn data APIs exist. LinkedIn's official API requires partnership agreements. Free scraping solutions typically violate terms of service and face blocking. For legitimate needs, LinkedIn Sales Navigator provides some export functionality within subscription limits.

What's better than scraping for lead generation?

Inbound authority building produces higher-quality leads without compliance risks. By creating valuable content and engaging authentically, you attract prospects who want to connect. These leads have demonstrated interest, provide current information voluntarily, and start relationships collaboratively rather than from cold outreach.

Is Proxycurl still working?

No. Proxycurl was permanently shut down on July 4, 2025. The API returns no data, sign-ups are closed, and the founder has confirmed that old documentation and code samples should be treated as historical reference only. There is no paid tier or grandfathered access.

Why did Proxycurl shut down?

LinkedIn and Microsoft sued Proxycurl's parent company, Nubela, in January 2025, alleging it created hundreds of thousands of fake accounts to scrape and resell member data. As a bootstrapped company, Proxycurl settled rather than fight a multi-billion-dollar corporation, and wound the service down in mid-2025.

What is the best Proxycurl alternative in 2026?

It depends on your model. For real-time "URL in, JSON out" lookups, Bright Data or Apify are the closest fit. For bulk enrichment, Coresignal or People Data Labs. For live data plus the ability to act through your own account, Unipile. For a full sales platform, Apollo.io or ZoomInfo.

Will my Proxycurl alternative get sued too?

Any tool that scrapes LinkedIn faces the same legal exposure that ended Proxycurl. Vendors in the strongest position either license consented data, hold compliance certifications, or route access through your own authenticated account rather than a shared scraped database. Compliance posture, not price, is the safest way to choose.

How do I migrate off Proxycurl?

Add an abstraction layer so providers stay swappable, then pick a replacement by use case (real-time scraper, dataset provider, or account-based API), normalize each provider's fields to your schema, replace direct contact extraction with consented enrichment, and backfill any records lost in the shutdown.

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Edge Cases in LinkedIn API Pricing: When Cheaper Alternatives Aren't Always Better

When evaluating Proxycurl alternatives, it's essential to consider edge cases that may impact the total cost of ownership. For instance, if your use case requires a high volume of API requests with a low latency requirement, a cheaper alternative like ScrapingBee might not be the best choice. Although ScrapingBee's pricing starts at $49/month, its API request limits and queueing mechanism may lead to increased costs due to repeated requests or timeouts. In contrast, Bright Data's custom enterprise pricing might seem more expensive upfront, but its industrial-scale capacity and dedicated account management can help optimize costs in the long run. It's crucial to assess your specific requirements and weigh the trade-offs between cost, performance, and support when selecting a Proxycurl alternative.

The Hidden Risks of Compliance: Understanding LinkedIn's Terms of Service

One of the most significant concerns when using LinkedIn APIs is compliance with the platform's terms of service. While many alternatives, including Proxycurl, acknowledge the risks, few provide clear guidance on mitigating them. The reality is that any form of web scraping or data extraction violates LinkedIn's terms, and the consequences can be severe, including account suspension or legal action. To navigate these risks, it's essential to understand the nuances of LinkedIn's terms and develop strategies to minimize exposure. This might involve implementing robust data anonymization, ensuring transparent data usage, or establishing clear opt-out mechanisms. By taking a proactive approach to compliance, businesses can reduce the risks associated with using LinkedIn APIs and ensure a more sustainable data extraction strategy.

Myth vs Reality: Debunking Common Misconceptions About LinkedIn API Alternatives

There are several common misconceptions surrounding LinkedIn API alternatives that can lead to poor decision-making. One of the most prevalent myths is that all alternatives are created equal, and the cheapest option is always the best. In reality, the quality and reliability of LinkedIn data can vary significantly between providers, and cheaper alternatives often come with hidden costs or compromises on data accuracy. Another myth is that LinkedIn API alternatives can completely replace manual data extraction methods. While APIs can certainly streamline data collection, they are not a silver bullet, and human judgment and oversight are still essential for ensuring data quality and relevance. By separating fact from fiction, businesses can make more informed decisions when selecting a Proxycurl alternative and develop a more effective data extraction strategy.

Advanced-Level Data Enrichment: Using LinkedIn APIs for Predictive Modeling and Scoring

For advanced users, LinkedIn APIs can be a powerful tool for predictive modeling and scoring. By combining LinkedIn data with other sources, such as company databases or market research, businesses can develop sophisticated models that predict customer behavior, identify high-value prospects, or forecast market trends. To achieve this, it's essential to have a deep understanding of data enrichment techniques, including data normalization, feature engineering, and machine learning algorithms. One approach is to use LinkedIn APIs to collect data on company size, industry, and job function, and then combine this data with other sources to develop a predictive model. For example, a business might use LinkedIn data to identify companies that are likely to purchase a specific product or service, and then use this information to prioritize sales outreach efforts. By leveraging LinkedIn APIs in this way, businesses can unlock new insights and drive more informed decision-making.

The Dark Side of Automation: When Over-Reliance on LinkedIn APIs Can Backfire

While LinkedIn APIs can be a powerful tool for automating data extraction and enrichment, over-reliance on these technologies can have unintended consequences. One of the most significant risks is that automated systems can become overly dependent on a single data source, leading to a lack of diversity in the data and a increased vulnerability to data quality issues. Additionally, automated systems can also lead to a lack of human oversight and judgment, which can result in poor decision-making or inaccurate insights. Furthermore, the over-reliance on automation can also lead to a lack of understanding of the underlying data and the algorithms used to process it, making it difficult to identify and address data quality issues. To mitigate these risks, it's essential to strike a balance between automation and human oversight, and to ensure that automated systems are designed with transparency, explainability, and accountability in mind. By taking a more nuanced approach to automation, businesses can unlock the full potential of LinkedIn APIs while minimizing the risks associated with over-reliance on these technologies.