A people search API lets software find professional profiles using criteria such as job title, company, and location. It helps sales, recruiting, and B2B applications discover relevant people, evaluate results, and route selected records into CRM, ATS, or internal workflows.
Unlike profile enrichment, people search begins with criteria rather than a known person. Use search to discover potential matches, then enrich the profiles you choose to act on.
Explore the People Search API
What Is a People Search API?
A people search API is an application programming interface that lets software query professional-profile data using work-related criteria. Instead of researching people one profile at a time, an application sends a structured request and receives matching records in a machine-readable format such as JSON.
Professional people search supports B2B, recruiting, market-research, and product workflows. It is different from a consumer people-finder or public-record lookup product. In a B2B context, the goal is to work with professional context—such as roles, employers, work experience, skills, education, industries, and public professional-profile information.
Depending on the endpoint and supported parameters, a people-search request may include:
- Job title or role keywords
- Company name, company domain, or target-account criteria
- Location, city, country, or region
- Skills, industry, education, or professional experience
- Additional supported search filters
For example, a sales application could search for “Revenue Operations leaders at SaaS companies in San Francisco.” A recruiting platform could search for “software engineers with Python skills in Singapore.” The API returns a set of potential matches that the application can filter, score, enrich, or send to a human reviewer.
A response commonly includes:
- Matching professional profiles
- Structured data supported by the selected endpoint
- Pagination details for retrieving additional results
People search is a discovery process. It can help identify potential contacts or candidates based on multiple criteria, but it does not guarantee a match for every query, complete coverage of public profiles, or the availability of every possible field for every person.
EnvoAPI provides public professional and company data through a developer-friendly API. Its API families include profile, company, search, job, and post data, all returned through a consistent response structure. Exact fields and record availability vary by endpoint and available public data.
How Does a People Search API Work?
A people search API typically follows this workflow:
text
Define intent → Apply supported filters → Retrieve matching profiles → Review and score results → Enrich selected records → Route approved data downstream
This structure gives teams more control than manual research across disconnected websites, databases, and spreadsheets.
Start With Intent
Every search should begin with a business or product objective. The API does not decide who is relevant; it retrieves profiles based on the criteria your application supplies.
Common B2B search intents include:
- Find Product Marketing leaders at B2B SaaS companies
- Find software-engineering candidates in a selected location
- Identify employees at a known target account
- Find professionals with a specific role and industry background
- Build a candidate or account-research pool for human review
At this stage, separate discovery from lookup.
Discovery begins when you know the type of person you need but not the specific individual. The workflow uses criteria such as role keywords, company, location, skills, and industry to create a pool of potentially relevant professional profiles.
Lookup or profile enrichment begins when you already have a person identifier, such as a public profile URL, username, profile ID, or other supported identity signal. The goal is to retrieve or standardize additional context for that known record.
This distinction helps teams use credits, infrastructure, and reviewer time more efficiently. Search identifies possible contacts or candidates. Enrichment adds detail to records that have passed an initial relevance check.
Apply Search Filters
Filters determine whether results align with the workflow’s needs. Start with two to four high-signal conditions, review the first page of results, then refine the query based on relevance and coverage.
For example:
Job title: Head of Sales Industry: SaaS Location: Singapore
This gives the API enough context to identify a relevant professional audience without over-constraining the query. Adding too many filters before testing coverage can exclude useful profiles and produce no-result responses.
A practical search experience should provide:
- Supported include or exclude filters
- Clear handling of title and keyword variations
- Location matching where supported
- Company or company-domain matching where supported
- Clear no-result responses
- Query logging or history for debugging and workflow improvement
Check the API reference before implementation to confirm the current people-search parameters, response fields, pagination behavior, rate limits, and error responses.
Retrieve and Evaluate Results
A people search API returns multiple potential matches rather than one definitive result. Depending on the endpoint and available public data, a result may include professional information such as name, title, company, location, industry, work experience, education, skills, or public-profile context.
Pagination lets an application retrieve results in controlled batches. This reduces unnecessary requests and allows the workflow to stop when it has collected enough profiles for a defined purpose.
For example:
Input: Head of Sales + SaaS + Singapore Output: A paginated set of matching professional profiles Next step: Review, score, enrich selected profiles, and route approved records to a CRM
A production workflow needs at least three safeguards:
- Deduplication: Prevent a person from creating duplicate CRM or ATS records.
- Relevance scoring: Rank profiles by criteria such as title, company, location, skills, or account fit.
- No-result handling: Return a clear status when no records meet the selected conditions.
These controls protect data quality and prevent a people-search endpoint from becoming a source of unmanaged records.
Enrich Selected Profiles
The most effective workflow separates search from enrichment:
Search people → Select relevant profiles → Enrich the selected profile → Add company context → Sync to CRM, ATS, or internal software
This approach puts data minimization into practice. Rather than retrieving all possible fields for every search result, the application retrieves additional professional data only for records relevant to a defined business purpose.
People Search vs. Profile Enrichment
People search and profile enrichment solve different data problems. People search discovers potential matches; profile enrichment adds context to a known record.
CriteriaPeople Search APIProfile Enrichment APIStarting pointYou have criteria but do not know the exact personYou have a specific person or supported identifierMain purposeFind multiple professional profilesAdd structured context to one profileCommon inputsRole keywords, company, location, skills, industryPublic profile URL, username, profile ID, or supported identity signalsTypical outputA result list, often with paginationOne matched or enriched profileCommon use casesSales prospecting, recruiting, account mappingCRM enrichment, candidate review, profile routingNext actionScore and select relevant resultsMap approved data into a system record
Use people search and enrichment together rather than as substitutes.
For example, an enterprise sales workflow could look like this:
Search: Revenue Operations leaders at target accounts → Select relevant matches → Enrich selected profiles → Retrieve company context → Map approved fields to CRM records → Assign records to the appropriate sales workflow
The search step identifies a relevant group of professionals. The enrichment step provides more context for profiles the team chooses to act on. This separation helps reduce unnecessary API calls and avoids uncontrolled enrichment across an entire database.
When enriching records, preserve high-confidence CRM data, record the lookup date and source, and flag no-match or incomplete results for review.
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People Search API Use Cases
A people search API supports three core B2B workflows: sales intelligence, talent sourcing, and CRM data hygiene. In each case, the API provides structured professional data while teams remain responsible for relevance, outreach, hiring, and compliance decisions.
Sales Intelligence and Account Mapping
Sales teams often start with target accounts, company domains, industry criteria, or an ideal customer profile. The next task is identifying the employees most relevant to that account.
A people search API can help sales software find professionals by supported criteria such as company, role, location, and keywords. The workflow can prioritize contacts associated with finance, operations, marketing, engineering, sales, or executive leadership rather than treating every employee as equally relevant.
A practical account-mapping workflow includes:
- Define target companies using domains, industry, location, or ICP criteria.
- Search for people using relevant role keywords or supported filters.
- Score profiles based on role, company, location, and account relevance.
- Enrich selected profiles and retrieve relevant company context.
- Route approved records to CRM segments, account plans, or research queues.
For example, a company selling revenue-operations infrastructure could search for RevOps leaders at target SaaS accounts. Its application can prioritize profiles with relevant titles, add company context, and then place the approved results into a research queue for sales review.
People search supports account research, segmentation, and routing. It should not be positioned as a tool for indiscriminate outreach or automatic messaging.
Recruiting and Talent Sourcing
Recruiting teams can use people search to create a candidate discovery pool using job-related criteria. Depending on the supported parameters, a search may combine role, location, skills, education, industry experience, and professional history.
For example:
Role: Software Engineer Skills: Python and PostgreSQL Location: Ho Chi Minh City Industry: SaaS
The output is a set of profiles for recruiter review, not an automated hiring decision. Recruiters must evaluate qualifications, conduct interviews, and follow applicable employment practices before advancing a candidate.
A responsible recruiting workflow includes:
- Define job-related criteria and legitimate exclusion requirements.
- Search professional profiles using supported filters.
- Enrich selected candidates before adding them to an ATS or recruiting workspace.
- Maintain human review for each selection and hiring decision.
An application may add an AI layer that translates a natural-language request into structured search filters. However, that layer should be transparent about the criteria it applies, and it must not replace recruiter judgment or turn a relevance score into a hiring recommendation.
CRM Enrichment and Data Hygiene
CRM records lose value when important fields are missing, outdated, or inconsistent. Common issues include missing job titles, employer names, company domains, locations, public profile links, or company context.
A CRM enrichment workflow should use defined triggers rather than enrich an entire database without controls. Useful triggers include:
- A new contact record lacks a job title or company.
- A sales representative requests account research.
- A candidate record needs profile context before review.
- A company domain is missing from an active account.
- A record has not been reviewed within the team’s refresh schedule.
Before integrating an enrichment API, define field-mapping rules. Do not overwrite a high-confidence value entered by a customer, employee, or verified internal source with a lower-confidence API response.
Store the source, lookup date, response status, and relevant workflow decision for each enrichment event. This creates a more auditable process and gives teams a way to review stale, incomplete, or conflicting records.
How to Choose a People Search API
Choose a people search API based on search relevance, technical reliability, data-quality controls, and source transparency—not only on database-size claims.
Use this checklist:
- Filter depth: Confirm the API supports the role, company, location, keyword, and other criteria relevant to your ICP or recruiting workflow.
- Profile context: Verify that search results provide enough professional context to assess relevance before creating a system record.
- Pagination and scale: Review pagination, rate limits, credit usage, and error handling for automated workflows.
- Data availability: Review documentation on public-data availability, data freshness, coverage limits, no-result behavior, and endpoint-specific fields.
- Source transparency: Choose a provider that clearly explains the nature of its data, endpoint limitations, and supported identifiers.
- System integration: Review authentication, response schemas, field-mapping needs, and whether your CRM, ATS, or internal tool can make authenticated HTTP requests.
- Pricing control: Review current credits, pricing, and rate limits before implementation so costs align with expected query volume and enrichment triggers.
Before a production rollout, test the provider with three realistic workflows:
- A broad discovery query using a role and location.
- A target-account query using a company and role.
- A profile-enrichment request using a known supported identifier.
Measure relevance, response consistency, pagination behavior, duplicate rate, no-match handling, and the percentage of returned records that your workflow actually uses.
Privacy and Responsible Use
People search APIs can process information that relates to identifiable individuals. Teams should establish data-minimization, access-control, retention, and review practices appropriate to their purpose, jurisdiction, and role in the processing activity.
Request and retain only the professional data necessary for a defined workflow. For example, a sales platform should not collect unrelated personal information simply because an API may return it. A recruiting workflow should use job-related criteria, maintain human review, and avoid treating search or relevance results as automated hiring decisions.
Privacy obligations vary by jurisdiction, the nature of the data, and the organization’s use case. Organizations processing personal data should assess applicable laws, platform terms, internal governance requirements, and their own legal basis or notice obligations before deployment.
EnvoAPI is an independent third-party B2B data enrichment API. It is not an official LinkedIn API and is not affiliated with or endorsed by LinkedIn. Use professional data responsibly and in accordance with applicable laws, platform policies, and your organization’s governance requirements.
FAQ
What is a people search API?
A people search API allows software to find professional profiles using criteria such as role, company, location, keywords, skills, industry, and other supported filters. It returns multiple potential matches that sales teams, recruiters, and B2B applications can review, score, enrich, and route into downstream workflows.
How is people search different from profile enrichment?
People search begins with criteria and returns multiple potential matches. Profile enrichment begins with a known person or supported identifier and retrieves additional structured context for that record. Use search for discovery, then enrich the profiles your workflow selects.
Can I use a people search API for recruiting?
Yes. Recruiting software can use people search to identify potential candidates using job-related criteria such as role, location, skills, education, and relevant professional experience, where supported. The API supports sourcing and research; people must remain responsible for candidate assessment and hiring decisions.
Can I use a people search API for CRM enrichment?
Yes. Use people search to discover relevant contacts at target accounts, then enrich selected profiles to fill missing CRM fields. Apply field-mapping rules, prevent duplicates, preserve high-confidence internal data, record lookup dates, and handle no-match responses without automatically creating incomplete contacts.
Build Your Professional Data Workflow With EnvoAPI
Search for relevant people, enrich selected professional profiles, add company context, and connect structured data to the systems your team already uses. EnvoAPI provides profile, company, people search, job, and post data through one developer-friendly API.
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