Search people
curl --request POST \
--url https://api.companyenrich.com/v2/people/search \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"pageSize": 50,
"cursor": "<string>",
"expand": [],
"filter": {
"query": "<string>",
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"country": "<string>",
"position": "<string>",
"currentCompanyStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"currentPositionStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"education": {
"institutionLinkedinHandle": "<string>",
"institutionName": "<string>"
},
"pastExperience": {
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"position": "<string>",
"startDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"endDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
}
}
},
"semantic": {
"query": "<string>"
},
"company": {
"filter": {
"query": "<string>",
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"keywords": "<string>",
"technologies": "<string>",
"region": "<string>",
"country": "<string>",
"state": 123,
"city": 123,
"workforceGrowth": {
"min": 123,
"max": 123
},
"workforceSize": [
{
"min": 123,
"max": 123
}
],
"naicsCodes": "<string>",
"foundedYear": {
"min": 123,
"max": 123
},
"fundingAmount": {
"min": 123,
"max": 123
},
"fundingYear": {
"min": 123,
"max": 123
}
},
"semantic": {
"query": "<string>",
"weight": 0.5,
"autoFilter": true
},
"lookalike": {
"domains": [
"<string>"
],
"weight": 0,
"minScore": 0.5
}
}
}
'const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
pageSize: 50,
cursor: '<string>',
expand: [],
filter: {
query: '<string>',
companyId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
domain: '<string>',
companyLinkedinHandle: '<string>',
country: '<string>',
position: '<string>',
currentCompanyStartDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'},
currentPositionStartDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'},
education: {institutionLinkedinHandle: '<string>', institutionName: '<string>'},
pastExperience: {
companyId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
domain: '<string>',
companyLinkedinHandle: '<string>',
position: '<string>',
startDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'},
endDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'}
}
},
semantic: {query: '<string>'},
company: {
filter: {
query: '<string>',
id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
domain: '<string>',
keywords: '<string>',
technologies: '<string>',
region: '<string>',
country: '<string>',
state: 123,
city: 123,
workforceGrowth: {min: 123, max: 123},
workforceSize: [{min: 123, max: 123}],
naicsCodes: '<string>',
foundedYear: {min: 123, max: 123},
fundingAmount: {min: 123, max: 123},
fundingYear: {min: 123, max: 123}
},
semantic: {query: '<string>', weight: 0.5, autoFilter: true},
lookalike: {domains: ['<string>'], weight: 0, minScore: 0.5}
}
})
};
fetch('https://api.companyenrich.com/v2/people/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.companyenrich.com/v2/people/search"
payload = {
"pageSize": 50,
"cursor": "<string>",
"expand": [],
"filter": {
"query": "<string>",
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"country": "<string>",
"position": "<string>",
"currentCompanyStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"currentPositionStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"education": {
"institutionLinkedinHandle": "<string>",
"institutionName": "<string>"
},
"pastExperience": {
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"position": "<string>",
"startDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"endDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
}
}
},
"semantic": { "query": "<string>" },
"company": {
"filter": {
"query": "<string>",
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"keywords": "<string>",
"technologies": "<string>",
"region": "<string>",
"country": "<string>",
"state": 123,
"city": 123,
"workforceGrowth": {
"min": 123,
"max": 123
},
"workforceSize": [
{
"min": 123,
"max": 123
}
],
"naicsCodes": "<string>",
"foundedYear": {
"min": 123,
"max": 123
},
"fundingAmount": {
"min": 123,
"max": 123
},
"fundingYear": {
"min": 123,
"max": 123
}
},
"semantic": {
"query": "<string>",
"weight": 0.5,
"autoFilter": True
},
"lookalike": {
"domains": ["<string>"],
"weight": 0,
"minScore": 0.5
}
}
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"items": [
{
"id": 123,
"socials": {
"linkedinUrl": "<string>"
},
"experiences": [
{
"isCurrent": true,
"isMatched": true,
"startDate": "2023-12-25",
"endDate": "2023-12-25",
"position": "<string>",
"seniority": "owner",
"department": "c-suite",
"company": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"legalName": "<string>",
"website": "<string>",
"description": "<string>",
"type": "private",
"foundedYear": 123,
"employees": "1-10",
"revenue": "under-1m",
"industries": [
"<string>"
],
"categories": [
"b2b"
],
"location": {
"country": {
"code": "<string>",
"name": "<string>"
},
"state": {
"id": 123,
"name": "<string>",
"code": "<string>"
},
"city": {
"id": 123,
"name": "<string>"
},
"address": "<string>",
"postalCode": "<string>",
"phone": "<string>"
},
"socials": {
"linkedinUrl": "<string>",
"linkedinId": "<string>",
"twitterUrl": "<string>",
"facebookUrl": "<string>",
"instagramUrl": "<string>",
"angellistUrl": "<string>",
"crunchbaseUrl": "<string>",
"youtubeUrl": "<string>",
"githubUrl": "<string>",
"g2Url": "<string>"
},
"updatedAt": "2023-11-07T05:31:56Z",
"name": "<string>",
"domain": "<string>",
"logoUrl": "<string>",
"industry": "<string>"
},
"companyName": "<string>"
}
],
"name": "<string>",
"firstName": "<string>",
"lastName": "<string>",
"imageUrl": "<string>",
"position": "<string>",
"seniority": "owner",
"department": "c-suite",
"location": {
"country": {
"code": "<string>",
"name": "<string>"
},
"address": "<string>"
},
"updatedAt": "2023-11-07T05:31:56Z",
"education": [
{
"institutionName": "<string>",
"institution": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"domain": "<string>",
"logoUrl": "<string>",
"industry": "<string>"
},
"socialHandle": "<string>",
"degree": [
"<string>"
],
"startYear": 123,
"endYear": 123
}
]
}
],
"nextCursor": "<string>",
"interpretation": {
"companyNames": [
"<string>"
],
"filter": {
"query": "<string>",
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"seniority": "owner",
"department": "c-suite",
"country": "<string>",
"position": "<string>",
"currentCompanyStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"currentPositionStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"education": {
"institutionLinkedinHandle": "<string>",
"institutionName": "<string>"
},
"pastExperience": {
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"seniority": "owner",
"department": "c-suite",
"position": "<string>",
"startDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"endDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
}
}
},
"company": {
"query": "<string>",
"filter": {
"query": "<string>",
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"keywords": "<string>",
"technologies": "<string>",
"region": "<string>",
"country": "<string>",
"state": 123,
"city": 123,
"type": "private",
"employees": "1-10",
"reportedEmployees": "1-10",
"revenue": "under-1m",
"workforceGrowth": {
"period": "m6",
"department": "overall",
"min": 123,
"max": 123
},
"workforceSize": [
{
"department": "overall",
"min": 123,
"max": 123
}
],
"naicsCodes": "<string>",
"categories": "b2b",
"foundedYear": {
"min": 123,
"max": 123
},
"fundingRounds": "seed",
"fundingAmount": {
"min": 123,
"max": 123
},
"fundingYear": {
"min": 123,
"max": 123
},
"require": "linkedin"
},
"boost": {
"names": [
"<string>"
],
"categories": [
"b2b"
],
"revenue": [
"under-1m"
]
}
}
}
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>",
"errors": {}
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}People · Search
Search people
Search people using person filters, a natural-language query, and an optional company query.
Cost: 2 credits per returned person, plus requested paid expansions. Empty results cost one result’s base price.
The education expansion adds 1 credit per returned person. Repeating an expansion does not multiply its cost.
The company expansion includes the standard company profile in experiences[].company for current and past experiences. It adds 1 credit per unique company successfully expanded across this response page, even when multiple people or experiences reference it. Unavailable companies retain their summary without an expansion charge. Companies on another page or request are charged again. Separately priced company expansions are not included.
Company expansion supports at most 500 unique available companies per response page. A page exceeding this limit returns 400 before company profiles are loaded or credits are charged. Reduce pageSize or remove company from expand and retry.
Person filters can be combined with a company query to find people whose current companies match. The company query accepts the same filters, semantic query, and lookalike seeds as company search. Company queries that use query, keyword, technology, funding, workforce, reportedEmployees, or required-feature filters, or a semantic or lookalike query, match people at the 1,000 best-matching companies.
A semantic query infers person filters and a description of the current companies. For example, VP of sales at Series A SaaS startups in Germany filters VP-level sales people and searches their current companies with the semantic company query Series A SaaS startups in Germany. Inferred person names, positions, seniorities, departments, countries, current and past companies, schools, and recent company or position start dates filter results. Person locations are inferred at country level, so a city filters its country. Current company names and confidently equivalent aliases are OR alternatives in a company text query, matching names, keywords, and domain prefixes before finding current employees. Past company names resolve to domains. Request filters that include values take precedence over inferred values of the same kind, and request exclusions apply together with inferred values. A request company.semantic or company.lookalike query replaces the inferred company description. When the request includes specific current companies by id, domain, or LinkedIn handle in filter, or by id, domain, or query inclusions in company.filter, current companies are not inferred. A semantic query from which no filters can be inferred is rejected. The response interpretation reports what was inferred.
Top-level company, seniority, department, position, and start date filters match current experiences. Use filter.pastExperience to find people by previous employment. Its inclusion rules must all match the same past experience, and people who still work at an included company are excluded. A past company exclusion removes people with any matching past experience. Past seniority, department, and position filters do not support exclusions.
Send an empty object ({}) to search without filters.
Results use cursor pagination. Omit cursor for the first page and pass a cursor returned by the previous response to continue. Numbered pagination is not supported. Keep the same query when continuing a search. Cursors expire 24 hours after the first page.
Experiences that matched the search filters are marked with isMatched.
A value filter supports these input forms:
- match one value:
"TR" - match several values:
["TR", "US"] - configure advanced matching rules:
{ "in": ["TR"], "notIn": ["US"] }
A single value or array matches any provided value. Use the object form to configure inclusion and exclusion rules together. Exclusions on current-experience fields (company, seniority, department, and position) remove a person when any of their current experiences matches.
POST
/
v2
/
people
/
search
Search people
curl --request POST \
--url https://api.companyenrich.com/v2/people/search \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"pageSize": 50,
"cursor": "<string>",
"expand": [],
"filter": {
"query": "<string>",
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"country": "<string>",
"position": "<string>",
"currentCompanyStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"currentPositionStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"education": {
"institutionLinkedinHandle": "<string>",
"institutionName": "<string>"
},
"pastExperience": {
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"position": "<string>",
"startDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"endDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
}
}
},
"semantic": {
"query": "<string>"
},
"company": {
"filter": {
"query": "<string>",
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"keywords": "<string>",
"technologies": "<string>",
"region": "<string>",
"country": "<string>",
"state": 123,
"city": 123,
"workforceGrowth": {
"min": 123,
"max": 123
},
"workforceSize": [
{
"min": 123,
"max": 123
}
],
"naicsCodes": "<string>",
"foundedYear": {
"min": 123,
"max": 123
},
"fundingAmount": {
"min": 123,
"max": 123
},
"fundingYear": {
"min": 123,
"max": 123
}
},
"semantic": {
"query": "<string>",
"weight": 0.5,
"autoFilter": true
},
"lookalike": {
"domains": [
"<string>"
],
"weight": 0,
"minScore": 0.5
}
}
}
'const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
pageSize: 50,
cursor: '<string>',
expand: [],
filter: {
query: '<string>',
companyId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
domain: '<string>',
companyLinkedinHandle: '<string>',
country: '<string>',
position: '<string>',
currentCompanyStartDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'},
currentPositionStartDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'},
education: {institutionLinkedinHandle: '<string>', institutionName: '<string>'},
pastExperience: {
companyId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
domain: '<string>',
companyLinkedinHandle: '<string>',
position: '<string>',
startDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'},
endDate: {after: '2023-11-07T05:31:56Z', before: '2023-11-07T05:31:56Z'}
}
},
semantic: {query: '<string>'},
company: {
filter: {
query: '<string>',
id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
domain: '<string>',
keywords: '<string>',
technologies: '<string>',
region: '<string>',
country: '<string>',
state: 123,
city: 123,
workforceGrowth: {min: 123, max: 123},
workforceSize: [{min: 123, max: 123}],
naicsCodes: '<string>',
foundedYear: {min: 123, max: 123},
fundingAmount: {min: 123, max: 123},
fundingYear: {min: 123, max: 123}
},
semantic: {query: '<string>', weight: 0.5, autoFilter: true},
lookalike: {domains: ['<string>'], weight: 0, minScore: 0.5}
}
})
};
fetch('https://api.companyenrich.com/v2/people/search', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));import requests
url = "https://api.companyenrich.com/v2/people/search"
payload = {
"pageSize": 50,
"cursor": "<string>",
"expand": [],
"filter": {
"query": "<string>",
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"country": "<string>",
"position": "<string>",
"currentCompanyStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"currentPositionStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"education": {
"institutionLinkedinHandle": "<string>",
"institutionName": "<string>"
},
"pastExperience": {
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"position": "<string>",
"startDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"endDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
}
}
},
"semantic": { "query": "<string>" },
"company": {
"filter": {
"query": "<string>",
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"keywords": "<string>",
"technologies": "<string>",
"region": "<string>",
"country": "<string>",
"state": 123,
"city": 123,
"workforceGrowth": {
"min": 123,
"max": 123
},
"workforceSize": [
{
"min": 123,
"max": 123
}
],
"naicsCodes": "<string>",
"foundedYear": {
"min": 123,
"max": 123
},
"fundingAmount": {
"min": 123,
"max": 123
},
"fundingYear": {
"min": 123,
"max": 123
}
},
"semantic": {
"query": "<string>",
"weight": 0.5,
"autoFilter": True
},
"lookalike": {
"domains": ["<string>"],
"weight": 0,
"minScore": 0.5
}
}
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text){
"items": [
{
"id": 123,
"socials": {
"linkedinUrl": "<string>"
},
"experiences": [
{
"isCurrent": true,
"isMatched": true,
"startDate": "2023-12-25",
"endDate": "2023-12-25",
"position": "<string>",
"seniority": "owner",
"department": "c-suite",
"company": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"legalName": "<string>",
"website": "<string>",
"description": "<string>",
"type": "private",
"foundedYear": 123,
"employees": "1-10",
"revenue": "under-1m",
"industries": [
"<string>"
],
"categories": [
"b2b"
],
"location": {
"country": {
"code": "<string>",
"name": "<string>"
},
"state": {
"id": 123,
"name": "<string>",
"code": "<string>"
},
"city": {
"id": 123,
"name": "<string>"
},
"address": "<string>",
"postalCode": "<string>",
"phone": "<string>"
},
"socials": {
"linkedinUrl": "<string>",
"linkedinId": "<string>",
"twitterUrl": "<string>",
"facebookUrl": "<string>",
"instagramUrl": "<string>",
"angellistUrl": "<string>",
"crunchbaseUrl": "<string>",
"youtubeUrl": "<string>",
"githubUrl": "<string>",
"g2Url": "<string>"
},
"updatedAt": "2023-11-07T05:31:56Z",
"name": "<string>",
"domain": "<string>",
"logoUrl": "<string>",
"industry": "<string>"
},
"companyName": "<string>"
}
],
"name": "<string>",
"firstName": "<string>",
"lastName": "<string>",
"imageUrl": "<string>",
"position": "<string>",
"seniority": "owner",
"department": "c-suite",
"location": {
"country": {
"code": "<string>",
"name": "<string>"
},
"address": "<string>"
},
"updatedAt": "2023-11-07T05:31:56Z",
"education": [
{
"institutionName": "<string>",
"institution": {
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"name": "<string>",
"domain": "<string>",
"logoUrl": "<string>",
"industry": "<string>"
},
"socialHandle": "<string>",
"degree": [
"<string>"
],
"startYear": 123,
"endYear": 123
}
]
}
],
"nextCursor": "<string>",
"interpretation": {
"companyNames": [
"<string>"
],
"filter": {
"query": "<string>",
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"seniority": "owner",
"department": "c-suite",
"country": "<string>",
"position": "<string>",
"currentCompanyStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"currentPositionStartDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"education": {
"institutionLinkedinHandle": "<string>",
"institutionName": "<string>"
},
"pastExperience": {
"companyId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"companyLinkedinHandle": "<string>",
"seniority": "owner",
"department": "c-suite",
"position": "<string>",
"startDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
},
"endDate": {
"after": "2023-11-07T05:31:56Z",
"before": "2023-11-07T05:31:56Z"
}
}
},
"company": {
"query": "<string>",
"filter": {
"query": "<string>",
"id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"domain": "<string>",
"keywords": "<string>",
"technologies": "<string>",
"region": "<string>",
"country": "<string>",
"state": 123,
"city": 123,
"type": "private",
"employees": "1-10",
"reportedEmployees": "1-10",
"revenue": "under-1m",
"workforceGrowth": {
"period": "m6",
"department": "overall",
"min": 123,
"max": 123
},
"workforceSize": [
{
"department": "overall",
"min": 123,
"max": 123
}
],
"naicsCodes": "<string>",
"categories": "b2b",
"foundedYear": {
"min": 123,
"max": 123
},
"fundingRounds": "seed",
"fundingAmount": {
"min": 123,
"max": 123
},
"fundingYear": {
"min": 123,
"max": 123
},
"require": "linkedin"
},
"boost": {
"names": [
"<string>"
],
"categories": [
"b2b"
],
"revenue": [
"under-1m"
]
}
}
}
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>",
"errors": {}
}{
"type": "<string>",
"title": "<string>",
"status": 123,
"detail": "<string>",
"instance": "<string>"
}Authorizations
API Token used for authentication. Example: "Authorization: Bearer {token}"
Body
application/json
The maximum number of people to return
Required range:
1 <= x <= 100An opaque cursor returned by a previous search response. Omit for the first page.
Maximum string length:
1024Additional person data to include, charged on top of the base cost. Repeating an expansion does not multiply its cost:
education: 1 credit per returned person.company: 1 credit per unique company successfully expanded across the returned current and past experiences. Includes the standard company profile; separately priced company expansions are not included. Unavailable companies retain their summary without an expansion charge. Search charges each company once per response page. Limited to 500 unique available companies per request; exceeding the limit returns400without charging credits. ReducepageSizefor searches or removecompanyfromexpand.
Available options:
education, company The filters to apply to the people search
Show child attributes
Show child attributes
The natural-language query used to infer person filters and the current companies
Show child attributes
Show child attributes
The company query used to find people whose current companies match
Show child attributes
Show child attributes
Response
OK