curl -X POST https://api.dataforb2b.ai/search/people \
-H "api_key: YOUR_api_key" \
-H "Content-Type: application/json" \
-d '{
"filters": {
"op": "and",
"conditions": [
{"column": "current_title", "type": "like", "value": "Engineer"},
{"column": "profile_country", "type": "=", "value": "US"}
]
},
"count": 10
}'
import requests
response = requests.post(
"https://api.dataforb2b.ai/search/people",
headers={
"api_key": "YOUR_api_key",
"Content-Type": "application/json"
},
json={
"filters": {
"op": "and",
"conditions": [
{"column": "current_title", "type": "like", "value": "Engineer"},
{"column": "profile_country", "type": "=", "value": "US"}
]
},
"count": 10
}
)
data = response.json()
print(f"Found {data['total']} profiles")
const response = await fetch('https://api.dataforb2b.ai/search/people', {
method: 'POST',
headers: {
'api_key': 'YOUR_api_key',
'Content-Type': 'application/json'
},
body: JSON.stringify({
filters: {
op: 'and',
conditions: [
{ column: 'current_title', type: 'like', value: 'Engineer' },
{ column: 'profile_country', type: '=', value: 'US' }
]
},
count: 10
})
});
const data = await response.json();
console.log(`Found ${data.total} profiles`);
{
"total": 10000,
"total_is_capped": true,
"offset": 0,
"count": 2,
"has_next_page": true,
"credits_used": 1.5,
"results": [
{
"id": "prof_PVURNGJihYludzaOwFCAwNajijSHFi6H0L9R",
"first_name": "Sarah",
"last_name": "Martinez",
"headline": "Senior Software Engineer at Google | Cloud Infrastructure",
"location": "San Francisco Bay Area, California",
"country": "US",
"industry": "Computer Software",
"summary": "Passionate software engineer with 8+ years of experience building scalable cloud infrastructure. Specialized in Kubernetes, distributed systems, and site reliability engineering. Led multiple teams in delivering high-impact projects for millions of users.",
"profile_language": "en_US",
"profile_picture_url": "https://media.licdn.com/dms/image/...",
"links": {
"linkedin": "https://www.linkedin.com/in/sarah-martinez-engineer",
"twitter": "https://twitter.com/sarahdev",
"github": "https://github.com/smartinez"
},
"experience": [
{
"company": {
"id": "org_google",
"name": "Google",
"url": "https://linkedin.com/company/google",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Information Technology & Services"
},
"title": "Senior Software Engineer",
"description": "Lead engineer for Google Cloud infrastructure, managing Kubernetes clusters at scale. Reduced deployment time by 40% through automation and improved system reliability to 99.99% uptime.",
"employment_type": "Full-time",
"location": "Mountain View, California",
"duration_months": 36,
"start_date": "2021-09",
"end_date": null,
"is_current": true
},
{
"company": {
"id": "org_amazon",
"name": "Amazon",
"url": "https://linkedin.com/company/amazon",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Internet"
},
"title": "Software Engineer II",
"description": "Developed microservices for AWS infrastructure. Built monitoring and alerting systems processing millions of events daily.",
"employment_type": "Full-time",
"location": "Seattle, Washington",
"duration_months": 30,
"start_date": "2019-03",
"end_date": "2021-08",
"is_current": false
},
{
"company": {
"id": "org_microsoft",
"name": "Microsoft",
"url": "https://linkedin.com/company/microsoft",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Software Engineer",
"description": "Azure infrastructure development and DevOps automation.",
"employment_type": "Full-time",
"location": "Redmond, Washington",
"duration_months": 24,
"start_date": "2017-03",
"end_date": "2019-02",
"is_current": false
}
],
"education": [
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZQlAmZ",
"name": "Stanford University",
"url": "https://www.linkedin.com/school/stanford-university/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Master of Science - MS",
"field_of_study": "Computer Science",
"activities": "Teaching Assistant for CS 106A",
"grade": "3.9 GPA",
"description": "Focus on distributed systems and machine learning",
"start_date": "2015",
"end_date": "2017"
},
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZSAIQJ",
"name": "UC Berkeley",
"url": "https://www.linkedin.com/school/uc-berkeley/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Bachelor of Science - BS",
"field_of_study": "Computer Engineering",
"activities": "IEEE Computer Society, Hackathons",
"grade": "3.8 GPA",
"description": null,
"start_date": "2011",
"end_date": "2015"
}
],
"skills": [
"Python",
"Kubernetes",
"Docker",
"Go",
"Terraform",
"AWS",
"Google Cloud Platform",
"Distributed Systems",
"Site Reliability Engineering",
"CI/CD",
"Monitoring & Alerting",
"System Design"
],
"certifications": [
{
"name": "Google Cloud Professional Architect",
"authority": "Google Cloud",
"url": "https://www.credential.net/...",
"start_date": "2022-03",
"end_date": "2025-03"
},
{
"name": "Certified Kubernetes Administrator (CKA)",
"authority": "Cloud Native Computing Foundation",
"url": "https://www.credly.com/badges/...",
"start_date": "2021-06",
"end_date": "2024-06"
}
],
"languages": [
{
"name": "English",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "Spanish",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "French",
"proficiency": "LIMITED_WORKING"
}
],
"metrics": {
"followers": 4200,
"skills_count": 12
}
},
{
"id": "prof_QWXj2MZKh65aYLdoLGDvwOckljTIGj7I1M0S",
"first_name": "Michael",
"last_name": "Chen",
"headline": "Product Manager at Salesforce | B2B SaaS Expert",
"location": "Seattle, Washington",
"country": "US",
"industry": "Computer Software",
"summary": null,
"profile_language": "en_US",
"profile_picture_url": "https://media.licdn.com/dms/image/...",
"links": {
"linkedin": "https://www.linkedin.com/in/michael-chen-pm",
"twitter": null,
"github": null
},
"experience": [
{
"company": {
"id": "org_salesforce",
"name": "Salesforce",
"url": "https://linkedin.com/company/salesforce",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Senior Product Manager",
"description": "Leading product strategy for enterprise CRM features. Managed a portfolio generating $50M+ ARR. Launched 3 major features adopted by 1000+ enterprise customers.",
"employment_type": "Full-time",
"location": "Seattle, Washington",
"duration_months": 28,
"start_date": "2022-05",
"end_date": null,
"is_current": true
},
{
"company": {
"id": "org_microsoft",
"name": "Microsoft",
"url": "https://linkedin.com/company/microsoft",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Product Manager",
"description": "Product management for Microsoft Teams enterprise features",
"employment_type": "Full-time",
"location": "Redmond, Washington",
"duration_months": 36,
"start_date": "2019-05",
"end_date": "2022-04",
"is_current": false
}
],
"education": [
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZUTajN",
"name": "MIT Sloan School of Management",
"url": "https://www.linkedin.com/school/mit-sloan/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Master of Business Administration - MBA",
"field_of_study": "Technology & Innovation Management",
"activities": null,
"grade": null,
"description": null,
"start_date": "2017",
"end_date": "2019"
},
{
"school": {
"id": null,
"name": "University of Washington",
"url": null,
"logo_url": null
},
"degree": "Bachelor of Science - BS",
"field_of_study": "Business Administration",
"activities": null,
"grade": null,
"description": null,
"start_date": "2013",
"end_date": "2017"
}
],
"skills": [
"Product Management",
"Product Strategy",
"Agile Methodologies",
"Roadmap Planning",
"B2B SaaS",
"User Research",
"Data Analysis",
"SQL",
"A/B Testing"
],
"certifications": [
{
"name": "Certified Scrum Product Owner (CSPO)",
"authority": "Scrum Alliance",
"url": null,
"start_date": "2020-08",
"end_date": null
}
],
"languages": [
{
"name": "English",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "Mandarin Chinese",
"proficiency": "PROFESSIONAL_WORKING"
}
],
"metrics": {
"followers": 2800,
"skills_count": 9
}
}
]
}
Search
Search People
Search professional profiles with advanced filters
POST
/
search
/
people
curl -X POST https://api.dataforb2b.ai/search/people \
-H "api_key: YOUR_api_key" \
-H "Content-Type: application/json" \
-d '{
"filters": {
"op": "and",
"conditions": [
{"column": "current_title", "type": "like", "value": "Engineer"},
{"column": "profile_country", "type": "=", "value": "US"}
]
},
"count": 10
}'
import requests
response = requests.post(
"https://api.dataforb2b.ai/search/people",
headers={
"api_key": "YOUR_api_key",
"Content-Type": "application/json"
},
json={
"filters": {
"op": "and",
"conditions": [
{"column": "current_title", "type": "like", "value": "Engineer"},
{"column": "profile_country", "type": "=", "value": "US"}
]
},
"count": 10
}
)
data = response.json()
print(f"Found {data['total']} profiles")
const response = await fetch('https://api.dataforb2b.ai/search/people', {
method: 'POST',
headers: {
'api_key': 'YOUR_api_key',
'Content-Type': 'application/json'
},
body: JSON.stringify({
filters: {
op: 'and',
conditions: [
{ column: 'current_title', type: 'like', value: 'Engineer' },
{ column: 'profile_country', type: '=', value: 'US' }
]
},
count: 10
})
});
const data = await response.json();
console.log(`Found ${data.total} profiles`);
{
"total": 10000,
"total_is_capped": true,
"offset": 0,
"count": 2,
"has_next_page": true,
"credits_used": 1.5,
"results": [
{
"id": "prof_PVURNGJihYludzaOwFCAwNajijSHFi6H0L9R",
"first_name": "Sarah",
"last_name": "Martinez",
"headline": "Senior Software Engineer at Google | Cloud Infrastructure",
"location": "San Francisco Bay Area, California",
"country": "US",
"industry": "Computer Software",
"summary": "Passionate software engineer with 8+ years of experience building scalable cloud infrastructure. Specialized in Kubernetes, distributed systems, and site reliability engineering. Led multiple teams in delivering high-impact projects for millions of users.",
"profile_language": "en_US",
"profile_picture_url": "https://media.licdn.com/dms/image/...",
"links": {
"linkedin": "https://www.linkedin.com/in/sarah-martinez-engineer",
"twitter": "https://twitter.com/sarahdev",
"github": "https://github.com/smartinez"
},
"experience": [
{
"company": {
"id": "org_google",
"name": "Google",
"url": "https://linkedin.com/company/google",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Information Technology & Services"
},
"title": "Senior Software Engineer",
"description": "Lead engineer for Google Cloud infrastructure, managing Kubernetes clusters at scale. Reduced deployment time by 40% through automation and improved system reliability to 99.99% uptime.",
"employment_type": "Full-time",
"location": "Mountain View, California",
"duration_months": 36,
"start_date": "2021-09",
"end_date": null,
"is_current": true
},
{
"company": {
"id": "org_amazon",
"name": "Amazon",
"url": "https://linkedin.com/company/amazon",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Internet"
},
"title": "Software Engineer II",
"description": "Developed microservices for AWS infrastructure. Built monitoring and alerting systems processing millions of events daily.",
"employment_type": "Full-time",
"location": "Seattle, Washington",
"duration_months": 30,
"start_date": "2019-03",
"end_date": "2021-08",
"is_current": false
},
{
"company": {
"id": "org_microsoft",
"name": "Microsoft",
"url": "https://linkedin.com/company/microsoft",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Software Engineer",
"description": "Azure infrastructure development and DevOps automation.",
"employment_type": "Full-time",
"location": "Redmond, Washington",
"duration_months": 24,
"start_date": "2017-03",
"end_date": "2019-02",
"is_current": false
}
],
"education": [
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZQlAmZ",
"name": "Stanford University",
"url": "https://www.linkedin.com/school/stanford-university/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Master of Science - MS",
"field_of_study": "Computer Science",
"activities": "Teaching Assistant for CS 106A",
"grade": "3.9 GPA",
"description": "Focus on distributed systems and machine learning",
"start_date": "2015",
"end_date": "2017"
},
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZSAIQJ",
"name": "UC Berkeley",
"url": "https://www.linkedin.com/school/uc-berkeley/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Bachelor of Science - BS",
"field_of_study": "Computer Engineering",
"activities": "IEEE Computer Society, Hackathons",
"grade": "3.8 GPA",
"description": null,
"start_date": "2011",
"end_date": "2015"
}
],
"skills": [
"Python",
"Kubernetes",
"Docker",
"Go",
"Terraform",
"AWS",
"Google Cloud Platform",
"Distributed Systems",
"Site Reliability Engineering",
"CI/CD",
"Monitoring & Alerting",
"System Design"
],
"certifications": [
{
"name": "Google Cloud Professional Architect",
"authority": "Google Cloud",
"url": "https://www.credential.net/...",
"start_date": "2022-03",
"end_date": "2025-03"
},
{
"name": "Certified Kubernetes Administrator (CKA)",
"authority": "Cloud Native Computing Foundation",
"url": "https://www.credly.com/badges/...",
"start_date": "2021-06",
"end_date": "2024-06"
}
],
"languages": [
{
"name": "English",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "Spanish",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "French",
"proficiency": "LIMITED_WORKING"
}
],
"metrics": {
"followers": 4200,
"skills_count": 12
}
},
{
"id": "prof_QWXj2MZKh65aYLdoLGDvwOckljTIGj7I1M0S",
"first_name": "Michael",
"last_name": "Chen",
"headline": "Product Manager at Salesforce | B2B SaaS Expert",
"location": "Seattle, Washington",
"country": "US",
"industry": "Computer Software",
"summary": null,
"profile_language": "en_US",
"profile_picture_url": "https://media.licdn.com/dms/image/...",
"links": {
"linkedin": "https://www.linkedin.com/in/michael-chen-pm",
"twitter": null,
"github": null
},
"experience": [
{
"company": {
"id": "org_salesforce",
"name": "Salesforce",
"url": "https://linkedin.com/company/salesforce",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Senior Product Manager",
"description": "Leading product strategy for enterprise CRM features. Managed a portfolio generating $50M+ ARR. Launched 3 major features adopted by 1000+ enterprise customers.",
"employment_type": "Full-time",
"location": "Seattle, Washington",
"duration_months": 28,
"start_date": "2022-05",
"end_date": null,
"is_current": true
},
{
"company": {
"id": "org_microsoft",
"name": "Microsoft",
"url": "https://linkedin.com/company/microsoft",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Product Manager",
"description": "Product management for Microsoft Teams enterprise features",
"employment_type": "Full-time",
"location": "Redmond, Washington",
"duration_months": 36,
"start_date": "2019-05",
"end_date": "2022-04",
"is_current": false
}
],
"education": [
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZUTajN",
"name": "MIT Sloan School of Management",
"url": "https://www.linkedin.com/school/mit-sloan/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Master of Business Administration - MBA",
"field_of_study": "Technology & Innovation Management",
"activities": null,
"grade": null,
"description": null,
"start_date": "2017",
"end_date": "2019"
},
{
"school": {
"id": null,
"name": "University of Washington",
"url": null,
"logo_url": null
},
"degree": "Bachelor of Science - BS",
"field_of_study": "Business Administration",
"activities": null,
"grade": null,
"description": null,
"start_date": "2013",
"end_date": "2017"
}
],
"skills": [
"Product Management",
"Product Strategy",
"Agile Methodologies",
"Roadmap Planning",
"B2B SaaS",
"User Research",
"Data Analysis",
"SQL",
"A/B Testing"
],
"certifications": [
{
"name": "Certified Scrum Product Owner (CSPO)",
"authority": "Scrum Alliance",
"url": null,
"start_date": "2020-08",
"end_date": null
}
],
"languages": [
{
"name": "English",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "Mandarin Chinese",
"proficiency": "PROFESSIONAL_WORKING"
}
],
"metrics": {
"followers": 2800,
"skills_count": 9
}
}
]
}
Credit Cost
0.75 credits per result.Need access to additional filters? Contact us at [email protected] with your use case.
Request Body
string
required
Logical operator to combine conditions.
and- All conditions must matchor- At least one condition must match
array
required
Array of filter conditions or nested filter groups.
string
required
Column name to filter on. See Available Columns section below for complete list with data types and recommended operators.Profile:
first_name, last_name, profile_location, profile_country, profile_industry, follower_count, keywordCurrent Job: current_company, current_title, current_job_location, current_company_industry, current_company_category, current_company_size (values: 2-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+), current_company_id, current_employment_type, years_in_current_position, years_at_current_company, current_company_has_funding, current_company_funding_stage, current_company_investorPast Jobs: past_company, past_title, past_company_industry, past_company_size (same values as current_company_size), past_company_id, past_employment_type, years_at_past_companySkills: skill (e.g., “Python”, “JavaScript”, “Machine Learning”)Education: school, degree, degree_level (Bachelor, Master, PhD, Associate, Certificate, High School), field_of_studyLanguages: language (full name), language_iso (ISO code like “en”, “fr”), language_proficiency (NATIVE_OR_BILINGUAL, FULL_PROFESSIONAL, PROFESSIONAL_WORKING, LIMITED_WORKING, ELEMENTARY)Certifications: certification, certification_authorityExperience: years_of_experience (total career), num_total_jobs (number of positions), is_currently_employed (boolean)string
required
Comparison operator to use. Available operators:
-
=- Exact match -
>- Greater than -
>=- Greater than or equal -
<- Less than -
<=- Less than or equal -
between- Between two values (requiresvalue2) -
in- Value is in a list -
like- Text search (pattern matching)
any
Filter value to compare against.
any
Second value (only used with
between operator).integer
default:"0"
Number of results to skip for pagination.
integer
default:"25"
Number of results to return. Maximum: 5000.
Filters System
FilterGroup Structure
A FilterGroup combines multiple conditions with a logical operator:{
"op": "and",
"conditions": [...]
}
| Field | Type | Description |
|---|---|---|
op | string | Logical operator: "and" or "or" |
conditions | array | List of FilterCondition or nested FilterGroup (recursive) |
FilterCondition Structure
{
"column": "first_name",
"type": "=",
"value": "John",
"value2": null
}
| Field | Type | Description |
|---|---|---|
column | string | Column name to filter on |
type | string | Operator type (see below) |
value | any | Filter value |
value2 | any | Second value (only for between operator) |
Available Operators
| Operator | Description | Example |
|---|---|---|
= | Exact match | {"column": "first_name", "type": "=", "value": "John"} |
> | Greater than | {"column": "follower_count", "type": ">", "value": 1000} |
>= | Greater than or equal | {"column": "years_of_experience", "type": ">=", "value": 5} |
< | Less than | {"column": "years_at_current_company", "type": "<", "value": 2} |
<= | Less than or equal | {"column": "follower_count", "type": "<=", "value": 500} |
between | Between two values | {"column": "years_of_experience", "type": "between", "value": 3, "value2": 7} |
in | In a list | {"column": "profile_country", "type": "in", "value": ["US", "GB", "CA"]} |
like | Text search | {"column": "current_title", "type": "like", "value": "Engineer"} |
How text matching works
The operator controls how text is matched — there are no separator characters (comma, pipe, etc.):=matches the exact value, case-insensitive. On multi-word fields it matches the full phrase, in order —current_company = "Y Combinator"matches,"Combinator Y"does not.likematches records where all the words appear, in any order — the best choice for partial or keyword search.keyword like "growth marketing"matches “Growth & Performance Marketing Lead”.intakes a JSON array and matches any value in it (OR):"value": ["Google", "Meta"]. A comma-separated string like"Google,Meta"is rejected with a400error — always pass an array.
Titles are free-form (e.g. “Senior Software Engineer, Platform @ Acme”), so search for the part that matters —
current_title like "software engineer" — rather than a full exact title.Available Columns
Profile
| Column | Type | Recommended Operators | Description |
|---|---|---|---|
first_name | text | =, like, in | Person’s first name |
last_name | text | =, like, in | Person’s last name |
profile_location | text | =, like | Current location (city, state) |
profile_country | text | =, in | Country code ISO 2 letters, uppercase (e.g., “US”, “GB”, “FR”, “DE”, “CA”). Note: use GB (not UK) for United Kingdom |
profile_industry | text | =, like, in | Profile industry |
follower_count | int | =, >, >=, <, <=, between | Number of profile followers |
keyword | text | like | Full-text search in headline (trigram matching) |
Current Job
| Column | Type | Operators | Description |
|---|---|---|---|
current_company | text | =, like, in | Current employer name |
current_title | text | =, like, in | Current job title. Use like with the key part of the title, e.g. "software engineer" (all words must appear, any order); = matches the exact phrase in order |
current_job_location | text | =, like, in | Current job location (city, state) |
current_company_industry | text | =, like, in | Industry of current employer, capitalized (e.g., “Information Technology & Services”, “Computer Software”, “Hospital & Health Care”, “Financial Services”, “Marketing & Advertising”) |
current_company_category | text | =, like, in | Category of current employer, lowercase (e.g., software, consulting, financial services, e-commerce, health care) |
current_company_size | text | =, in | Company size range (2-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+) |
current_company_id | text | =, in | Company identifier |
current_employment_type | text | =, in | Employment type. Values: “Full-time”, “Part-time”, “Self-employed”, “Freelance”, “Contract”, “Permanent”, “Permanent Full-time”, “Permanent Part-time”, “Contract Full-time”, “Contract Part-time”, “Internship”, “Apprenticeship”, “Seasonal” |
years_in_current_position | int | =, >, >=, <, <=, between | Years in current role |
years_at_current_company | int | =, >, >=, <, <=, between | Years at current company |
current_company_has_funding | bool | = | Whether the current company has received funding (true/false) |
current_company_funding_stage | text | =, in | Funding stage of the current company. Values: seed_round, series_a, series_b, series_c, series_d, series_e, series_f, series_g, series_h, series_unknown, pre_seed_round, angel_round, grant, private_equity_round, debt_financing, convertible_note, corporate_round, equity_crowdfunding, post_ipo_equity, post_ipo_debt, post_ipo_secondary, secondary_market, non_equity_assistance, product_crowdfunding, initial_coin_offering, undisclosed. Note: data also contains some legacy values without _round suffix (seed, pre_seed, angel, private_equity) — use in with both forms for max coverage |
current_company_investor | text | =, like, in | Investor name of the current company. Supports partial matching with like |
Past Jobs
| Column | Type | Operators | Description |
|---|---|---|---|
past_company | text | =, like, in | Former employer name |
past_title | text | =, like, in | Previous job title. Same matching as current_title: like = all words in any order, = = exact phrase in order |
past_company_industry | text | =, like, in | Industry of former employer |
past_company_size | text | =, in | Former company size range (same values as current_company_size) |
past_company_id | text | =, in | Company identifier of former employer |
past_employment_type | text | =, in | Past employment type |
years_at_past_company | int | =, >, >=, <, <=, between | Years spent at former company |
Skills
| Column | Type | Operators | Description |
|---|---|---|---|
skill | text | =, like, in | Skills listed on profile (e.g., “Python”, “JavaScript”, “Machine Learning”) |
Education
| Column | Type | Operators | Description |
|---|---|---|---|
school | text | =, like, in | Educational institution name |
degree | text | =, like, in | Degree name |
degree_level | text | =, in | Normalized degree level. Values: Bachelor, Master, PhD, Associate, Certificate, High School, Other. Only set on a small share of profiles — for broad coverage use degree with like (e.g. "master") |
field_of_study | text | =, like, in | Major or field of study |
Languages
| Column | Type | Operators | Description |
|---|---|---|---|
language | text | =, like, in | Language name (e.g., “English”, “French”, “Spanish”) |
language_iso | text | =, in | ISO language code (e.g., “en”, “fr”, “es”) |
language_proficiency | text | =, in | Proficiency level. Values: NATIVE_OR_BILINGUAL, FULL_PROFESSIONAL, PROFESSIONAL_WORKING, LIMITED_WORKING, ELEMENTARY |
Certifications
| Column | Type | Operators | Description |
|---|---|---|---|
certification | text | =, like, in | Certification name (e.g., “AWS Certified”, “PMP”, “CPA”) |
certification_authority | text | =, like, in | Issuing organization (e.g., “Amazon Web Services”, “PMI”) |
Experience
| Column | Type | Operators | Description |
|---|---|---|---|
years_of_experience | int | =, >, >=, <, <=, between | Total years of professional experience |
num_total_jobs | int | =, >, >=, <, <=, between | Total number of positions held |
is_currently_employed | bool | = | Whether person is currently employed (true/false) |
Complex Query Examples
Senior developers at FAANG companies
Senior developers at FAANG companies
{
"filters": {
"op": "and",
"conditions": [
{"column": "current_company", "type": "in", "value": ["Google", "Apple", "Facebook", "Amazon", "Microsoft"]},
{"column": "current_title", "type": "like", "value": "Senior"},
{"column": "skill", "type": "in", "value": ["Python", "Java", "Go"]},
{"column": "years_of_experience", "type": ">=", "value": 8}
]
},
"count": 100
}
Ex-consultants from McKinsey/BCG now at startups
Ex-consultants from McKinsey/BCG now at startups
{
"filters": {
"op": "and",
"conditions": [
{"column": "past_company", "type": "in", "value": ["McKinsey", "BCG", "Bain"]},
{"column": "current_company_size", "type": "in", "value": ["2-10", "11-50"]},
{"column": "current_title", "type": "like", "value": "Founder"}
]
},
"count": 50
}
Engineers at Series A/B funded companies backed by Sequoia
Engineers at Series A/B funded companies backed by Sequoia
{
"filters": {
"op": "and",
"conditions": [
{"column": "current_title", "type": "like", "value": "Engineer"},
{"column": "current_company_has_funding", "type": "=", "value": true},
{"column": "current_company_funding_stage", "type": "in", "value": ["series_a", "series_b"]},
{"column": "current_company_investor", "type": "like", "value": "Sequoia"}
]
},
"count": 50
}
OR search (profiles with Python OR JavaScript)
OR search (profiles with Python OR JavaScript)
{
"filters": {
"op": "and",
"conditions": [
{"column": "profile_country", "type": "=", "value": "US"},
{
"op": "or",
"conditions": [
{"column": "skill", "type": "=", "value": "Python"},
{"column": "skill", "type": "=", "value": "JavaScript"}
]
}
]
}
}
Response
integer
Total number of results matching the filters. Capped at 10,000.
boolean
true when total reached the 10,000 cap — the real count is higher (display it as “10,000+”).integer
Offset used for pagination.
integer
Number of results returned in this response.
boolean
Whether more results are available. Use it with
offset to paginate.number
Credits charged for this request.
array
List of profiles matching the filters.
Show profile item properties
Show profile item properties
string
Encoded profile ID (prof_xxx) — pass it to Enrich Profile
string
First name
string
Last name
string | null
Professional headline
string | null
Current location
string | null
Country code ISO 2 letters (e.g., “US”, “GB”, “FR”)
string | null
Profile industry
string | null
Profile summary/bio
string | null
Profile language code (e.g., “en_US”)
string | null
Profile picture URL
object
Profile links:
linkedin, twitter, github (each a URL or null)array
Work experience. Each item has a
company object (id, name, url, logo_url, size, industry), title, description, employment_type, location, duration_months, start_date (YYYY-MM), end_date (YYYY-MM, null if current) and is_current.array
Education history. Each item has a
school object (id, name, url, logo_url), degree, field_of_study, activities, grade, description, start_date and end_date (years).array
Skill names (strings)
array
Certifications:
name, authority, url, start_date, end_datearray
Languages:
name and proficiency (NATIVE_OR_BILINGUAL, FULL_PROFESSIONAL, PROFESSIONAL_WORKING, LIMITED_WORKING, ELEMENTARY)object
followers and skills_countcurl -X POST https://api.dataforb2b.ai/search/people \
-H "api_key: YOUR_api_key" \
-H "Content-Type: application/json" \
-d '{
"filters": {
"op": "and",
"conditions": [
{"column": "current_title", "type": "like", "value": "Engineer"},
{"column": "profile_country", "type": "=", "value": "US"}
]
},
"count": 10
}'
import requests
response = requests.post(
"https://api.dataforb2b.ai/search/people",
headers={
"api_key": "YOUR_api_key",
"Content-Type": "application/json"
},
json={
"filters": {
"op": "and",
"conditions": [
{"column": "current_title", "type": "like", "value": "Engineer"},
{"column": "profile_country", "type": "=", "value": "US"}
]
},
"count": 10
}
)
data = response.json()
print(f"Found {data['total']} profiles")
const response = await fetch('https://api.dataforb2b.ai/search/people', {
method: 'POST',
headers: {
'api_key': 'YOUR_api_key',
'Content-Type': 'application/json'
},
body: JSON.stringify({
filters: {
op: 'and',
conditions: [
{ column: 'current_title', type: 'like', value: 'Engineer' },
{ column: 'profile_country', type: '=', value: 'US' }
]
},
count: 10
})
});
const data = await response.json();
console.log(`Found ${data.total} profiles`);
{
"total": 10000,
"total_is_capped": true,
"offset": 0,
"count": 2,
"has_next_page": true,
"credits_used": 1.5,
"results": [
{
"id": "prof_PVURNGJihYludzaOwFCAwNajijSHFi6H0L9R",
"first_name": "Sarah",
"last_name": "Martinez",
"headline": "Senior Software Engineer at Google | Cloud Infrastructure",
"location": "San Francisco Bay Area, California",
"country": "US",
"industry": "Computer Software",
"summary": "Passionate software engineer with 8+ years of experience building scalable cloud infrastructure. Specialized in Kubernetes, distributed systems, and site reliability engineering. Led multiple teams in delivering high-impact projects for millions of users.",
"profile_language": "en_US",
"profile_picture_url": "https://media.licdn.com/dms/image/...",
"links": {
"linkedin": "https://www.linkedin.com/in/sarah-martinez-engineer",
"twitter": "https://twitter.com/sarahdev",
"github": "https://github.com/smartinez"
},
"experience": [
{
"company": {
"id": "org_google",
"name": "Google",
"url": "https://linkedin.com/company/google",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Information Technology & Services"
},
"title": "Senior Software Engineer",
"description": "Lead engineer for Google Cloud infrastructure, managing Kubernetes clusters at scale. Reduced deployment time by 40% through automation and improved system reliability to 99.99% uptime.",
"employment_type": "Full-time",
"location": "Mountain View, California",
"duration_months": 36,
"start_date": "2021-09",
"end_date": null,
"is_current": true
},
{
"company": {
"id": "org_amazon",
"name": "Amazon",
"url": "https://linkedin.com/company/amazon",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Internet"
},
"title": "Software Engineer II",
"description": "Developed microservices for AWS infrastructure. Built monitoring and alerting systems processing millions of events daily.",
"employment_type": "Full-time",
"location": "Seattle, Washington",
"duration_months": 30,
"start_date": "2019-03",
"end_date": "2021-08",
"is_current": false
},
{
"company": {
"id": "org_microsoft",
"name": "Microsoft",
"url": "https://linkedin.com/company/microsoft",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Software Engineer",
"description": "Azure infrastructure development and DevOps automation.",
"employment_type": "Full-time",
"location": "Redmond, Washington",
"duration_months": 24,
"start_date": "2017-03",
"end_date": "2019-02",
"is_current": false
}
],
"education": [
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZQlAmZ",
"name": "Stanford University",
"url": "https://www.linkedin.com/school/stanford-university/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Master of Science - MS",
"field_of_study": "Computer Science",
"activities": "Teaching Assistant for CS 106A",
"grade": "3.9 GPA",
"description": "Focus on distributed systems and machine learning",
"start_date": "2015",
"end_date": "2017"
},
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZSAIQJ",
"name": "UC Berkeley",
"url": "https://www.linkedin.com/school/uc-berkeley/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Bachelor of Science - BS",
"field_of_study": "Computer Engineering",
"activities": "IEEE Computer Society, Hackathons",
"grade": "3.8 GPA",
"description": null,
"start_date": "2011",
"end_date": "2015"
}
],
"skills": [
"Python",
"Kubernetes",
"Docker",
"Go",
"Terraform",
"AWS",
"Google Cloud Platform",
"Distributed Systems",
"Site Reliability Engineering",
"CI/CD",
"Monitoring & Alerting",
"System Design"
],
"certifications": [
{
"name": "Google Cloud Professional Architect",
"authority": "Google Cloud",
"url": "https://www.credential.net/...",
"start_date": "2022-03",
"end_date": "2025-03"
},
{
"name": "Certified Kubernetes Administrator (CKA)",
"authority": "Cloud Native Computing Foundation",
"url": "https://www.credly.com/badges/...",
"start_date": "2021-06",
"end_date": "2024-06"
}
],
"languages": [
{
"name": "English",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "Spanish",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "French",
"proficiency": "LIMITED_WORKING"
}
],
"metrics": {
"followers": 4200,
"skills_count": 12
}
},
{
"id": "prof_QWXj2MZKh65aYLdoLGDvwOckljTIGj7I1M0S",
"first_name": "Michael",
"last_name": "Chen",
"headline": "Product Manager at Salesforce | B2B SaaS Expert",
"location": "Seattle, Washington",
"country": "US",
"industry": "Computer Software",
"summary": null,
"profile_language": "en_US",
"profile_picture_url": "https://media.licdn.com/dms/image/...",
"links": {
"linkedin": "https://www.linkedin.com/in/michael-chen-pm",
"twitter": null,
"github": null
},
"experience": [
{
"company": {
"id": "org_salesforce",
"name": "Salesforce",
"url": "https://linkedin.com/company/salesforce",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Senior Product Manager",
"description": "Leading product strategy for enterprise CRM features. Managed a portfolio generating $50M+ ARR. Launched 3 major features adopted by 1000+ enterprise customers.",
"employment_type": "Full-time",
"location": "Seattle, Washington",
"duration_months": 28,
"start_date": "2022-05",
"end_date": null,
"is_current": true
},
{
"company": {
"id": "org_microsoft",
"name": "Microsoft",
"url": "https://linkedin.com/company/microsoft",
"logo_url": "https://media.licdn.com/dms/image/...",
"size": "10001+",
"industry": "Computer Software"
},
"title": "Product Manager",
"description": "Product management for Microsoft Teams enterprise features",
"employment_type": "Full-time",
"location": "Redmond, Washington",
"duration_months": 36,
"start_date": "2019-05",
"end_date": "2022-04",
"is_current": false
}
],
"education": [
{
"school": {
"id": "edu_0lox4Unn3pMSqjJXEFXX1n5YqgKPsQZUTajN",
"name": "MIT Sloan School of Management",
"url": "https://www.linkedin.com/school/mit-sloan/",
"logo_url": "https://media.licdn.com/dms/image/..."
},
"degree": "Master of Business Administration - MBA",
"field_of_study": "Technology & Innovation Management",
"activities": null,
"grade": null,
"description": null,
"start_date": "2017",
"end_date": "2019"
},
{
"school": {
"id": null,
"name": "University of Washington",
"url": null,
"logo_url": null
},
"degree": "Bachelor of Science - BS",
"field_of_study": "Business Administration",
"activities": null,
"grade": null,
"description": null,
"start_date": "2013",
"end_date": "2017"
}
],
"skills": [
"Product Management",
"Product Strategy",
"Agile Methodologies",
"Roadmap Planning",
"B2B SaaS",
"User Research",
"Data Analysis",
"SQL",
"A/B Testing"
],
"certifications": [
{
"name": "Certified Scrum Product Owner (CSPO)",
"authority": "Scrum Alliance",
"url": null,
"start_date": "2020-08",
"end_date": null
}
],
"languages": [
{
"name": "English",
"proficiency": "NATIVE_OR_BILINGUAL"
},
{
"name": "Mandarin Chinese",
"proficiency": "PROFESSIONAL_WORKING"
}
],
"metrics": {
"followers": 2800,
"skills_count": 9
}
}
]
}

