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10 Best People Search APIs in 2026 for Developers

Rahul Lakhaney
By Rahul LakhaneyPublished on: May 20, 2026 · 12 min read · Last reviewed: May 2026
Enrich homepage showing waterfall multi-source people search API
Enrich's waterfall API combines multiple providers per lookup to lift match rates above any single source.

TL;DR

A people search API lets your app look up a person's profile, email, phone, and employer data in real time. We rank the 10 best people search APIs for 2026 on match rate, phone coverage, pricing, and developer experience.

10
APIs ranked
In this guide
From ~$39/mo
Enrich pricing
Per credit, no contract
Results
Charges for
Not raw calls (Enrich)
Enrich
Waterfall multi-source
Highest match rate

Why the right people search API matters

A people search API lets your application look up a person's professional profile, email, phone number, and employer data in real time, without building and maintaining your own contact database. Developers use these APIs to power enrichment pipelines, CRM auto-fill, lead scoring, and AI agent workflows. This guide compares the 10 best people search APIs for 2026 with honest pricing, response characteristics, and trade-offs so you can choose the right one for your stack.

We lead with the API we think most engineering and RevOps teams should evaluate first, then cover the rest of the field in order.

Picking the wrong API creates downstream problems that are expensive to fix later. Common pain points include:

  • Low match rates from a single source. Any one provider covers only a fraction of total prospects. Single-source APIs routinely return nulls for 20-40% of inputs, forcing you to build your own fallback logic.
  • Stale data causing bounces. B2B contact data decays quickly. APIs that return cached records without freshness checks produce emails that bounce and phones that ring dead.
  • Unpredictable per-call costs. Some APIs charge on every call regardless of whether they return a result, which makes budget forecasting unreliable at scale.
  • No phone data. Many email-focused APIs skip direct dials and mobile numbers entirely, limiting your ability to run multi-channel outreach.
  • Compliance gaps. GDPR and CCPA require that data is sourced and handled lawfully. An API that cannot explain its data sourcing creates regulatory risk.

How we evaluated these APIs

We scored each API against six criteria so you can match the right tool to your stack.

  1. 1Match rate and data freshness, including whether the API draws from a single dataset or multiple sources.
  2. 2Email and phone coverage, especially direct dials and mobile numbers alongside work emails.
  3. 3Pricing model transparency, including per-call vs per-result, free tiers, and bulk pricing.
  4. 4Developer experience, including REST API design, documentation quality, response latency, and SDK availability.
  5. 5Compliance posture, including GDPR readiness, data sourcing transparency, and DNC handling.
  6. 6Workflow fit, including bulk enrichment, webhook support, and CRM write-back capabilities.

Here is the field at a glance before the detailed rankings.

ToolBest forPricing modelFree planPhone data
EnrichWaterfall multi-source enrichmentPer credit, from ~$39/moTrial creditsYes
People Data LabsRaw person datasets at scaleUsage-based, customNoLimited
Clearbit (Breeze)HubSpot-native enrichmentHubSpot bundleTier-basedLimited
FullContactIdentity resolutionUsage-based, customNoLimited
ProxycurlLinkedIn-sourced person dataPer creditNoLimited
RocketReach APIBroad email and phone lookupPer credit, from ~$39/moLimitedYes
Apollo APIHigh-volume prospectingPer seat/credit, from ~$49/moYesYes
ContactOut APIPersonal and work emailsPer credit, from ~$99/moLimitedYes
DatagmaEmail and phone enrichment APIUsage-basedNoYes
CoresignalLarge-scale firmographic and employee dataUsage-based, customNoLimited

1. Enrich (best for waterfall enrichment with email and phone)

Enrich homepage showing waterfall people search API
Enrich queries multiple providers per contact via API and returns one verified record with email and phone.

Enrich is the people search API we recommend evaluating first because it solves the core problem most developers hit with single-source APIs: coverage gaps. Instead of querying one database and returning a null when that source has no record, Enrich runs waterfall enrichment, querying multiple data providers in sequence per contact and returning the first verified result. That architecture lifts overall match and fill rates above any single provider, and returns one clean record per input with both email and phone included.

From a developer perspective, Enrich ships a clean REST API and an MCP server, which means it runs natively inside AI agent workflows, not just traditional scripts. Pricing is per credit from around $39 per month with no annual contract, and the tool charges for results rather than raw calls, which keeps costs predictable. It writes clean records back to Salesforce, HubSpot, or any CRM, and includes email verification as part of the enrichment step. For teams that need the highest possible match rate and want enrichment as an API service rather than a UI platform, Enrich is the most direct fit.

See Enrich pricing or the Enrich solutions page.

Our top pick
Enrich leads because its waterfall architecture queries multiple sources per contact, returns email and phone in one verified record, and prices transparently per credit from around $39/mo while charging only for results.
Pros
  • Waterfall multi-source matching
  • Email and phone in one record
  • REST API and MCP server
  • Transparent per-credit pricing
  • No contract
Cons
  • Focused on enrichment, not a full prospecting database or sequencing suite
  • Free tier is trial credits, not unlimited

2. People Data Labs (best for raw data at massive scale)

People Data Labs is a data-as-a-service API that delivers large-scale person and company datasets directly to developers. Rather than a UI or a managed enrichment experience, PDL gives you raw JSON records covering hundreds of millions of people, ideal for teams building their own enrichment infrastructure or training data pipelines. Pricing is usage-based and typically custom at scale; there is no free plan. Phone data is limited compared to enrichment-focused APIs.

See our People Data Labs alternatives.

Pros
  • Massive dataset
  • Developer-first
  • Flexible for custom pipelines
Cons
  • No UI
  • Limited phone coverage
  • Pricing requires a conversation

3. Clearbit / Breeze Intelligence (best for HubSpot-native enrichment)

Clearbit, now integrated into HubSpot as Breeze Intelligence, offers person and company enrichment triggered by form fills and CRM events. If your stack centers on HubSpot, the native integration reduces engineering effort considerably. Outside of HubSpot, the value proposition weakens, and phone data is limited. Pricing is bundled with HubSpot tiers rather than a standalone per-call model.

See our Clearbit pricing breakdown or the Enrich vs Clearbit comparison.

Pros
  • Seamless HubSpot integration
  • Solid firmographics
  • Easy setup
Cons
  • HubSpot ecosystem lock-in
  • Limited phone data
  • Single-source coverage

4. FullContact (best for identity resolution and audience matching)

FullContact specializes in identity resolution, matching fragmented person signals (email, phone, social) into a unified profile. It is particularly useful for customer data platforms and ad-tech workflows that need to connect first-party data to a larger identity graph. Pricing is usage-based with custom enterprise tiers and no public free plan. Phone coverage is limited relative to enrichment-first tools.

Pros
  • Strong identity graph
  • Multi-signal matching
  • Good for CDPs
Cons
  • Not ideal for B2B contact enrichment
  • Limited phone data
  • Pricing requires a sales call

5. Proxycurl (best for LinkedIn-sourced person data)

Proxycurl is a developer API that returns profile data sourced from LinkedIn, including current role, employer, education, and work history. It is the most direct way to get structured LinkedIn profile data into an application without running a scraper yourself. Pricing is per credit with no free plan. Phone data and email are limited because LinkedIn profiles rarely expose them directly.

See our guide on how to find anyone's email address.

Pros
  • Structured LinkedIn profile data
  • Clean REST API
  • No scraper maintenance
Cons
  • Limited email and phone
  • No waterfall fallback
  • Per-credit costs add up at volume

6. RocketReach API (best for broad email and phone lookup)

RocketReach offers a REST API on top of its contact database, covering emails and direct dial phone numbers for a wide range of professionals. Plans start from around $39 per month with limited free lookups. Coverage is broad but depth and freshness vary by contact, so it is worth running a trial against your specific target accounts before committing.

See our RocketReach review and RocketReach pricing breakdown.

Pros
  • Broad coverage
  • Affordable entry
  • Email and phone included
Cons
  • Variable accuracy and freshness
  • Lighter API documentation than specialist tools

8. ContactOut API (best for personal and work email from LinkedIn)

ContactOut surfaces personal emails and direct phone numbers alongside work emails, making it useful for recruiting and sales workflows where reaching someone outside a corporate inbox matters. Pricing starts from around $99 per month with a limited free plan. The API is straightforward to integrate and returns high personal email coverage.

See our ContactOut pricing breakdown and ContactOut alternatives.

Pros
  • Strong personal email coverage
  • Phone data included
  • Recruiter and sales use cases
Cons
  • Higher entry price
  • Recruiter-leaning feature set
  • Smaller overall database

9. Datagma (best for usage-based email and phone enrichment)

Datagma is a usage-based enrichment API covering both email and phone data, with no minimum commitment. It is a good fit for developers who want a lightweight pay-as-you-go enrichment endpoint without a monthly subscription floor. Coverage is narrower than the larger platforms, and documentation is lighter than enterprise tools.

Pros
  • Pay-as-you-go
  • Email and phone
  • No monthly minimum
Cons
  • Narrower coverage
  • Lighter documentation
  • Less established than larger APIs

10. Coresignal (best for large-scale firmographic and employee data)

Coresignal delivers large-scale datasets covering employee records, firmographics, and job postings, sourced from public web data. It is aimed at developers building data products, investment research pipelines, or custom enrichment layers. Pricing is usage-based and typically custom. Phone and direct email coverage are limited; this is primarily a firmographic and headcount data source.

See our guide on how to build a B2B prospect list.

Pros
  • Large-scale datasets
  • Good for firmographics and headcount
  • Developer-first
Cons
  • Limited phone and direct email
  • High volume pricing
  • Not suited for real-time single-record lookup

How to choose the right people search API

  • Want the highest match rate across your whole contact list? Choose a waterfall enrichment API like Enrich that queries multiple sources per contact rather than one.
  • Building a custom data pipeline at massive scale? People Data Labs gives you raw datasets with flexible licensing.
  • Your stack is already in HubSpot? Clearbit / Breeze Intelligence keeps enrichment native to that ecosystem.
  • Need structured LinkedIn profile data without maintaining a scraper? Proxycurl is the cleaner path.
  • Want broad email and phone coverage at a low entry price? RocketReach API is worth testing against your specific targets.
  • Running high-volume prospecting with built-in filtering? Apollo's API handles search and enrichment in one call.
  • Need personal emails and direct phones for recruiting or sales? ContactOut covers those use cases well.

Final verdict

The people search API market splits into two camps: large single-source databases that are fast and easy to query but have coverage gaps, and multi-source or waterfall tools that require more infrastructure but deliver higher match rates. For most teams, the coverage gap from a single-source API is the most expensive problem, measured in missed contacts, bounced emails, and dead-end phone calls.

Enrich is built specifically to close that gap, combining multiple providers in waterfall sequence and returning one verified record with both email and phone per input. Pricing is transparent and per-credit from around $39 per month with no annual contract. Start with Enrich's pricing or see how it compares to People Data Labs and Clearbit.

Quick decision framework
Want the highest match rate? Enrich (per credit, from ~$39/mo, charges for results). Raw data at scale? People Data Labs. HubSpot-native? Clearbit / Breeze. Generous free tier? Apollo.

Frequently Asked Questions

For most developer and RevOps teams, Enrich is the strongest starting point because its waterfall architecture queries multiple sources per contact and returns one verified record with both email and phone. For teams that need raw data at massive scale, People Data Labs is the specialist option. For HubSpot-native use cases, Clearbit / Breeze Intelligence is the easiest integration. The best choice always depends on your specific target accounts and tech stack.

Apollo offers the most generous ongoing free tier among the APIs in this list. Enrich provides trial credits that are enough to validate match rates before committing to a paid plan. RocketReach and ContactOut offer limited free lookups. Most dedicated enrichment APIs, including People Data Labs, FullContact, and Coresignal, do not offer a meaningful free plan.

Accuracy varies significantly by provider, target market, and recency of the underlying data. Waterfall enrichment tools that combine multiple sources tend to produce higher overall match rates than single-source APIs. APIs with built-in email verification, like Enrich, return addresses that are less likely to bounce. For phone data, verified mobile databases like Cognism's Diamond Data tend to outperform scraped or inferred numbers. Always test an API against a sample of your actual target accounts before scaling spend.

Compliance posture varies by vendor. APIs built on publicly sourced professional data generally argue lawful basis for B2B use, but you should review each vendor's data processing agreement and confirm GDPR and CCPA compliance before using their data in your application. Vendors like Cognism include DNC screening explicitly. Avoid any API that cannot describe its data sourcing methodology clearly.

Pricing models vary widely. Per-credit APIs like Enrich start from around $39 per month and charge only for results. RocketReach starts from around $39 per month. Apollo starts from around $49 per month. ContactOut starts from around $99 per month. Enterprise data platforms like People Data Labs, FullContact, and Coresignal use custom usage-based pricing that typically requires a sales conversation.

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