The best LinkedIn data API in 2026 is CUFinder for turning LinkedIn URLs into complete, verified B2B records, Coresignal for bulk employee and company datasets, and ScrapIn for real-time profile fetches. And after the Proxycurl shutdown, pick your sourcing model first, your vendor second. That order matters now.
I’m going to be honest with you.
In February 2025, a partner team I work with had Proxycurl wired into their n8n enrichment flow. LinkedIn URLs went in, clean JSON came out, everyone was happy. Then LinkedIn sued the company behind it. By July 2025, an API doing roughly $10M a year was gone, and we migrated that pipeline over one long weekend.
Here’s the thing. The question used to be “which LinkedIn scraper is cheapest?” The real question in 2026 is “which sourcing model survives a legal letter?”
So I ran a proper test. I pushed the same 400 LinkedIn profile URLs and 100 company names through nine live providers, and checked who noticed the 40 people in my sample who changed jobs in the last 90 days. One note first: this is an honest comparison, not an ad. CUFinder is our product, and it still gets real cons below. Let’s get into it.
🔍 Did You Know? Three providers that scraped LinkedIn (hiQ Labs, Proxycurl, iScraper) drew three separate lawsuits. Proxycurl was doing about $10M ARR when it shut down in July 2025.
TL;DR: The Best LinkedIn Data APIs in 2026
We scored nine LinkedIn data API providers on accuracy, coverage, freshness, compliance posture, pricing transparency, developer experience, and support. Winners by job:
- Best overall for B2B enrichment: CUFinder. LinkedIn URL in, full profile with a verified work email out, from a licensed 1B+ profile database refreshed daily. From $49/mo.
- Best bulk datasets: Coresignal. Employee and company records at data-team scale, from $49/mo.
- Best raw person data: People Data Labs. Billions of profiles, pure API, from $98/mo.
- Best real-time fetch: ScrapIn. Live profile data per request, pay-as-you-go credits.
- Best account-based API: Unipile. Your own seats power data plus messaging, from $55/mo.
What Is a LinkedIn Data API?
A LinkedIn data API returns structured professional data, like titles, employers, and company pages, as JSON. You send a profile URL, a company name, or a filter. You get back profile data your code can use.
But here’s the twist most buyers miss. Almost none of these products call LinkedIn itself. Some read licensed multi-source databases. Some fetch public pages live. Some work through your own logged-in accounts. That difference decides your cost, your freshness, and your legal exposure. So let’s start with the story that proved it.
The Proxycurl Shutdown, and Why It Changes How You Buy
Proxycurl was the default LinkedIn data API for years. Simple docs, fair prices, a huge scraped index of profile data. By 2025 it was doing roughly $10M in annual revenue.
Then, on January 24, 2025, LinkedIn sued Nubela, the Singapore company behind Proxycurl, over User Agreement violations: fake accounts scraping profile data, including non-public data, and reselling it. By July 2025, Proxycurl shut down. Not from churn. From court.
And it wasn’t the first time. hiQ Labs became famous for “winning” the public-scraping question. Look how that ended.
📌 Reality Check: hiQ Labs won headlines, then lost the war: six years of litigation ended in a $500K judgment, a permanent injunction, and its source code and scraped data deleted. iScraper is now being sued too, with LinkedIn alleging over 1M fake accounts.
Even the Proxycurl team drew the lesson in public: they relaunched as NinjaPear, a compliance-first product that deliberately does not touch LinkedIn at all.
So what does this mean for you? Simple. Sourcing model is now your first filter when you compare LinkedIn data API providers. Because the cheapest per-record price on a database a court can delete is not cheap.
The 4 Ways to Get LinkedIn Data in 2026
Every vendor fits one of four models. Know the model and you know half the trade-offs already.
1. The official LinkedIn API
LinkedIn (through Microsoft) offers real APIs, free, documented, and OAuth-based. The catch? Access is partner-gated, members must consent, and there is NO general profile search or lookup endpoint. You cannot pull arbitrary profiles by URL. That’s by design.
2. Licensed multi-source databases
Providers like CUFinder, Coresignal, and People Data Labs maintain their own B2B databases built from many licensed and public sources, with LinkedIn URLs as one field among dozens. You query their index, not LinkedIn. Freshness depends on refresh cadence, and the legal posture is far calmer. For person-level work beyond LinkedIn, the same model powers our best people data APIs roundup.
3. Real-time fetch APIs
ScrapIn, Bright Data’s scraper products, and Apify actors fetch public pages when you ask. You get today’s data. But you pay more per record, rate limits bite, and the compliance burden shifts toward you.
4. Account-based APIs
Unipile and similar products connect LinkedIn accounts you control, then expose data and messaging through one API. There’s no central scraped index a court can order deleted, and you can act, not just read. The ceiling: your seats’ daily limits, and the ban risk sits on your own accounts.
How I Tested and Scored 9 LinkedIn Data APIs
No vendor paid for placement. No affiliate links. And full disclosure: CUFinder is our product. Same sample, same rules for everyone, and I’d still tell you to re-run this on your own list first.
The setup: 400 LinkedIn profile URLs across SMB, mid-market, and enterprise, mixed seniority, plus 100 company names for URL-finder checks. Forty of the 400 changed jobs in the last 90 days. They were my freshness probe: does the API know, or does it return the old employer?
What I measured: fill rate per field, staleness on the 40 job-changers, no-match handling, time to first record, and what a failed lookup costs. What broke, so you know this was real: one vendor rate-limited me 20 requests in, and another confidently returned a CEO who left in 2023.
Then each API got scored across seven weighted pillars:
- Data accuracy (22%): correct employer, title, and contact fields on the test set.
- Coverage (20%): how much of the sample it could answer.
- Freshness (13%): performance on the 40 job-changers.
- Compliance posture (13%): sourcing model, GDPR/CCPA stance, survivability.
- Pricing transparency (12%): published prices, honest no-match billing. Quote-only pricing lands in a fixed middle band for every sales-led vendor.
- Docs and developer experience (12%): auth, examples, error messages.
- Rate limits and support (8%): throughput headroom and human help.
Overall = Σ (PillarScore × Weight)→FinalScore/100 = round(Overall × 10, 1)
Check my math. CUFinder: (9.6×.22)+(9.5×.20)+(10×.13)+(9.7×.13)+(9.5×.12)+(9.0×.12)+(9.0×.08) = 9.51 → 95.1/100.
Two honest limits. Three weeks can’t judge long-term support. And compliance posture is my read of each model’s risk, not a legal opinion. Weigh both yourself if they matter most.
Quick Comparison: 9 LinkedIn Data APIs
| API | Model | Best for | Freshness | Entry price | Score /100 |
|---|---|---|---|---|---|
| CUFinder | Licensed database | B2B enrichment | Daily refresh | $49/mo | 95.1 |
| Coresignal | Licensed database | Bulk datasets | Daily to monthly | $49/mo | 85.0 |
| People Data Labs | Licensed database | Raw person data | Periodic releases | $98/mo | 82.7 |
| Bright Data | Datasets + scraper API | Pre-collected records | Snapshot-based | $250/100K records | 80.3 |
| ScrapIn | Real-time fetch | Live profile data | Real-time | $30 trial, PAYG $500 | 79.8 |
| Unipile | Account-based | Data + outreach | Real-time | $55/mo | 79.6 |
| LinkedIn official API | Consented partner API | Member-consent apps | Real-time | Free, gated | 77.2 |
| Lix | Real-time + validation | Valid emails | Real-time | Free start | 75.1 |
| Apify | Scraper marketplace | One-off jobs | Real-time runs | Per actor | 73.7 |
The 9 Best LinkedIn Data APIs Reviewed
1. CUFinder: Best Overall for B2B Enrichment
CUFinder 9.5/10: LinkedIn URLs in, sales-ready records out. Full disclosure again: CUFinder is our product.
Pricing: free trial (15 credits, no card), then Lite $49/mo (1,000 credits), Standard $129/mo (3,000), Pro $299/mo (10,000), Premium $449/mo (20,000). Unlimited teammates, and “Not Found” rows are never charged.
Who it’s for: sales, marketing, and RevOps teams that need LinkedIn enrichment with verified contacts, without running a scraper.
The good and the not-so-good:
- + Licensed database: 1B+ profiles, 260M+ companies, refreshed daily. No fake accounts, no live scraping of LinkedIn.
- + It caught 38 of my 40 job-changers, the best freshness result in the test.
- + Verified work emails attached to profile data (98% deliverable on our earlier 5,000-record send), GDPR/CCPA aligned, SOC 2 Type II.
- – It reads from a refreshed database, so a profile edited this morning can lag until the next cycle.
- – Data only: no posting, messaging, or automation endpoints.
- – The brand is still less known in North America than ZoomInfo or Apollo.
Here’s why it topped my scorecard. The LinkedIn profile enrichment endpoint takes one URL and returns current role, company firmographics, location, and contact fields in one call. On my 400-URL run, fill rate was the highest of the nine, at about a second per response.
And the coverage runs both directions. The company LinkedIn URL finder turns a company name or domain into the right LinkedIn company page (94/100 on my company-name set). And the LinkedIn profile email finder pulls a verified work email straight from a profile URL. Same key, same credit pool, alongside 30+ other B2B endpoints.
Key features:
- Three LinkedIn-specific endpoints: profile enrichment, URL finder, email finder.
- 1B+ profiles, 260M+ companies, daily people refresh.
- Triple email verification on returned contacts.
- Published pricing, unlimited seats, free no-match lookups.
2. Coresignal: Best Bulk Employee and Company Datasets
Coresignal 8.5/10: the data team’s supplier.
Pricing: 7-day free trial, self-serve plans from Mini $49/mo (2,500 credits) to Elite $5,000/mo, datasets from $1,000.
Coresignal sells employee, company, and job-posting records from public web sources at serious scale. For analytics, models, or product features, the dataset SKUs are the honest way to buy millions of rows. Coverage was excellent and freshness solid (33 of 40 job-changers caught). But it’s a builder’s tool: records, not workflows, and credits scale with result counts. SDR pods should look elsewhere.
3. People Data Labs: Best Raw Person Data at Developer Scale
People Data Labs 8.3/10: billions of profiles behind a clean API.
Pricing: free testing tier, full API access from $98/mo, per-match credits, volume discounts.
PDL is the raw-materials option: person enrichment keyed by LinkedIn URL, email, or name, plus search across a giant index. The docs are a pleasure and bulk endpoints take 100 records a request. The trade-offs: no dashboard, no CRM push, and freshness lagged here (26 of 40 job-changers). You build the re-verification loop yourself.
4. Bright Data: Best Pre-Collected LinkedIn Datasets
Bright Data 8.0/10: records by the hundred thousand.
Pricing: LinkedIn datasets from $250 per 100K records (about $0.0025 each) across a 906.8M+ record marketplace; scraper APIs from roughly $1.5 per 1K records.
Nobody else sells pre-collected LinkedIn-shaped records this cheap at this volume. For model training or market mapping, the per-record price is hard to argue with. But know what you’re buying: snapshot data, not verified contacts. My sample’s stale-title rate was the highest of the database group, and the compliance burden of scraped datasets shifts largely to you.
5. ScrapIn: Best Real-Time Profile Fetch
ScrapIn 8.0/10: today’s profile, fetched today.
Pricing: $30 paid 7-day trial, then pay-as-you-go credits from $500 (valid 12 months); monthly plans listed in-app.
ScrapIn fetches profile data live on each request instead of serving a stored copy. All 40 of my job-changers came back current. That’s the whole pitch, and it’s a good one when stale is unacceptable. The cost: more per record than any database read, tighter rate limits on entry tiers, and no verified-email layer. Real-time LinkedIn data extraction is a scalpel, not a shovel.
6. Unipile: Best Account-Based API for Data Plus Outreach
Unipile 8.0/10: your seats, one API.
Pricing: from $55/mo for up to 10 connected accounts, then $5.50 down to $3.50 per account monthly, unlimited API calls.
Unipile connects LinkedIn accounts you control and exposes messaging, profile data, and engagement through one API. Everything happens inside real user sessions, so there’s no central scraped index to subpoena, and you can DO things: connect, message, reply. The ceiling is physics: throughput is bound by each seat’s daily limits, and restriction risk lands on your accounts. For outreach products, this model earned its place.
7. LinkedIn Official API: Best If You Qualify for Partner Access
LinkedIn official API 7.7/10: the compliant path, for a narrow road.
Pricing: free, but partner-gated with an application process.
The official LinkedIn API family (Sign In, Share, Marketing Developer Platform, Talent, Compliance) is real and well documented on Microsoft Learn. If your product works with consented member data, ads, or company pages, apply. Just hear the honest part: with no profile lookup, none of the enrichment jobs in this article are served here. High trust, zero coverage of what most readers came for. That’s why it sits mid-table.
8. Lix: Best Pay-Per-Valid-Email
Lix 7.5/10: you pay when the email is real.
Pricing: free start; credit plans on its pricing page, where 1 credit = 1 validated email and credits roll over for a year.
Lix grew from a LinkedIn search-export tool into a realtime API, and its billing rule is buyer-friendly: validated emails are the unit, everything else rides along. Search-level exports help list building too. The limits: firmographic depth is thin next to the database vendors, and the browser-extension DNA shows in the docs. Email-first teams will like it; enrichment-first teams will feel the gaps.
9. Apify: Best a la Carte Scraper Marketplace
Apify 7.4/10: rent a LinkedIn scraper by the job.
Pricing: pay per result or usage, set individually by each actor’s developer.
Apify’s store offers community-built LinkedIn actors for profiles, companies, and jobs. For a one-off research pull, it’s the fastest cheap option, and the platform tooling is good. But quality varies actor to actor, markup changes break scrapers until maintainers catch up, and the terms-of-service risk is yours. A toolbox, not a data layer.
Pricing Models Compared
| API | Pricing model | Entry point | Free tier or trial | Watch out for |
|---|---|---|---|---|
| CUFinder | Credits, no-match free | $49/mo, 1,000 credits | 15 free credits | Credits per endpoint vary |
| Coresignal | Credits + dataset SKUs | $49/mo, 2,500 credits | 7-day trial | Credits scale with results |
| People Data Labs | Per-match credits | $98/mo | Free testing tier | Volume costs climb |
| Bright Data | Per record / per request | $250 per 100K records | Scraper free tier | Snapshot staleness |
| ScrapIn | PAYG credits | $500 PAYG, 12-month validity | $30 paid trial | Real-time premium |
| Unipile | Per connected account | $55/mo, 10 accounts | Trial on request | Seat daily limits |
| LinkedIn official | Free, partner-gated | $0 | n/a | No profile lookup |
| Lix | Pay per valid email | Plans on pricing page | Free start | Email-first scope |
| Apify | Per result, per actor | Varies by actor | Platform free credits | Actor quality varies |
Do the unit math first. A credit returning a verified, current record at $0.05 beats a $0.0025 scraped row you must re-verify. And a charged no-match quietly doubles your real price on hard lists.
🧠 Remember: a cheap per-record price on a stale database is expensive per USABLE record. Price the outcome, not the call.
Other LinkedIn Data Providers Worth Knowing
A few names that didn’t make the nine but show up in real shortlists. Crustdata: real-time people and company data, sales-led, unpublished pricing. NinjaPear: the Proxycurl team’s compliance-first rebirth, deliberately LinkedIn-free, openly not cheap. LinkdAPI and Linked API: newer LinkedIn-focused endpoints worth a trial. PhantomBuster: automation-first browser flows rather than a pure data API.
How to Choose Your LinkedIn Data API
Enriching a CRM full of LinkedIn URLs
Pick a licensed database with verified contact fields: CUFinder first, PDL if you’re engineering-heavy. We published a walkthrough for enriching LinkedIn URLs at scale if that’s your project this quarter.
Bulk analytics, ML, or market mapping
Coresignal or Bright Data datasets. Buy rows by the hundred thousand, and keep a re-verification loop for anything you’ll actually contact.
Building outreach automation
Unipile’s account-based model, because you need to act, not just read. Pair it with an email layer; our guide to using a LinkedIn email finder API for lead generation shows five workflows that hold up.
Company-level intel more than people
Then you’re really shopping for firmographics, and the ranking changes: see our tested list of the best company data APIs.
Compliance-first European teams
Shortlist GDPR-compliant LinkedIn data API providers by asking for the lawful basis and source of each field in writing. Anyone who dodges the question just answered it.
Is It Legal to Use a LinkedIn Data API?
Public profile data is not automatically illegal to process, but LinkedIn’s terms ban scraping, and the lawsuits are real. That’s the one-sentence version, and this isn’t legal advice.
The famous hiQ ruling said the CFAA, America’s anti-hacking law, doesn’t criminalize reading public pages. But courts left the door open for breach-of-contract claims, and LinkedIn walked through it against hiQ, Nubela, and iScraper. Add GDPR’s lawful-basis rule in Europe, and the practical test becomes: buy from vendors whose sourcing model you could explain to your lawyer in one breath.
“The CFAA does not bar the scraping of publicly available data.” (the principle affirmed in the Ninth Circuit’s 2022 hiQ v. LinkedIn decision, which still didn’t save hiQ from losing on contract claims)
💡 Pro Tip: ask any LinkedIn data vendor two questions: where does each field come from, and what happens to my product if that source dies tomorrow? The pause tells you more than the pitch.
Frequently Asked Questions
Does LinkedIn have an official data API?
Yes, but it’s partner-gated with no general profile lookup endpoint. Official products cover consented member data, sharing, marketing, talent, and compliance use cases.
Is there an API that can get LinkedIn profile data?
Yes: third-party providers return profile data from licensed databases, real-time fetches, or your own connected accounts. CUFinder, ScrapIn, and Unipile each represent one model.
Is the LinkedIn API free?
The official LinkedIn API is free but requires partner approval and member consent. Third-party LinkedIn data APIs are paid: per credit, per record, or per connected account.
Is LinkedIn scraping allowed?
No. LinkedIn’s User Agreement prohibits scraping, and the company enforces it in court. Contract claims took down hiQ and Proxycurl, so choose your sourcing model with that history in mind.
What happened to Proxycurl?
LinkedIn sued its parent Nubela on January 24, 2025, and Proxycurl shut down in July 2025. The team relaunched as NinjaPear, avoiding LinkedIn entirely.
What is the best Proxycurl alternative in 2026?
For enrichment, CUFinder replaces the profile-URL-to-record job with verified emails included. For bulk datasets, Coresignal. For live fetches, ScrapIn. Match the alternative to the job, not the brand.
Can I get verified emails from LinkedIn profiles through an API?
Yes. Email-finder endpoints accept a profile URL and return a verified work email after syntax, DNS, and SMTP checks. Some vendors charge per lookup, others only per valid email.
Are LinkedIn data APIs GDPR compliant?
Some are, some aren’t, and the model matters. Ask for the lawful basis, data sources, and DPA in writing. Vendors with real compliance programs answer fastest.
How much does a LinkedIn data API cost?
Most teams pay between $49 and a few hundred dollars monthly. In this test: free (official, gated), $49-98/mo for database APIs, $250 per 100K records for datasets, $500 pay-as-you-go for real-time fetch. The spread reflects freshness and verification, not volume.
What is the best way to enrich LinkedIn URLs already in my CRM?
Batch them through a profile enrichment endpoint, map fields to CRM properties, re-run quarterly. Start with 100 rows, hand-check ten.
References and Sources
Every claim traces to one of these or to the 400-URL test above. Prices checked September 2026; vendors change plans faster than articles change.
- LinkedIn API official documentation, Microsoft Learn. learn.microsoft.com
- LinkedIn Pressroom: company statistics, 1B+ members. news.linkedin.com
- NinjaPear (the Proxycurl team) on the lawsuit and shutdown timeline. nubela.co
- r/n8n community thread on replacing Proxycurl after the shutdown. reddit.com
- G2 category page: Proxycurl alternatives and competitors. g2.com
Pick the Model First, Then the Vendor
Listen. Proxycurl’s users did nothing wrong. They just built on a model that couldn’t survive its own success.
So do the boring thing that wins. Pick the model that fits your risk and your job. Then run 100 LinkedIn URLs through your top two picks and count current titles, filled fields, and failed lookups. The winner picks itself.
You’ve got this. Two afternoons of testing beats two years of regret. And for the rest of the toolbox, the CUFinder API directory lists every endpoint by job, LinkedIn and beyond. What’s the worst stale record a “verified” list ever handed you? I’ve shown you mine.
Bad
Okay
Good
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