Add company search to your product and AI workflows. Search 33M+ companies using natural language and advanced filters for firmographics, tech stack, funding, location, and workforce trends.
POST https://api.companyenrich.com/v2/companies/search{
"semantic": { "query": "AI customer support platforms" },
"filter": {
"employees": ["51-200", "201-500", "1K-5K"],
"foundedYear": { "min": 2015, "max": 2020 },
"fundingAmount": { "min": 1000000 },
"technologies": { "in": ["typescript", "python"] },
"workforceGrowth": {
"department": "marketing",
"period": "m6", "min": 0.1
},
"country": { "notIn": ["GB"] },
"require": ["linkedin", "revenue"]
}
}Trusted by the fastest growing companies
4.9 on
G2
Describe the companies you want to find and test our company search API.
Build precise company queries with advanced filters. Combine inclusion and exclusion rules with AND/OR matching. Set department growth thresholds over selected time periods.
Access comprehensive data from millions of companies across every industry and geography worldwide.
Explore our dataWHAT YOU GET BACK
Each search result includes a company profile. Inspect the available data before mapping results to your product or workflow.
idnamelegalNamedomainwebsitedescriptionlogoUrlupdatedAtindustryindustriescategoriestypeemployeesrevenuefoundedYearlocation.country.namelocation.country.codelocation.state.namelocation.state.codelocation.state.idlocation.city.namelocation.city.idlocation.addresslocation.postalCodelocation.phonesocials.linkedinUrlsocials.linkedinIdsocials.twitterUrlsocials.facebookUrlsocials.instagramUrlsocials.angellistUrlsocials.crunchbaseUrlsocials.youtubeUrlsocials.githubUrlsocials.g2UrlRequest with expand=financial
Optional expansion: returned only when requested, at an additional credit cost per company.
financial.totalFundingfinancial.fundingStagefinancial.fundingDatefinancial.stockSymbolfinancial.stockExchangefinancial.fundingRounds[].datefinancial.fundingRounds[].amountfinancial.fundingRounds[].typefinancial.fundingRounds[].investorsfinancial.fundingRounds[].urlRequest with expand=keywords
Optional expansion: returned only when requested, at an additional credit cost per company.
keywordsRequest with expand=naicsCodes
Optional expansion: returned only when requested, at an additional credit cost per company.
naicsCodesRequest with expand=technologies
Optional expansion: returned only when requested, at an additional credit cost per company.
technologiesRequest with expand=workforce
Optional expansion: returned only when requested, at an additional credit cost per company. Counts reflect employees observed in our people dataset. Use nextCursor with the workforce endpoint for earlier years.
workforce.observedEmployeeCountworkforce.employeeCountRangeworkforce.departmentHeadcountworkforce.unclassifiedHeadcountworkforce.history[].dateworkforce.history[].observedEmployeeCountworkforce.history[].departmentHeadcountworkforce.nextCursorSEE IT IN CODE
Combine the flexibility of natural language search with the precision of advanced filters in a single request.
curl --request POST 'https://api.companyenrich.com/v2/companies/search' \
--header "Authorization: Bearer $COMPANYENRICH_API_KEY" \
--header 'Accept: application/json' \
--header 'Content-Type: application/json' \
--data '{
"semantic": {
"query": "AI customer support platforms with shared inboxes",
"weight": 0.85
},
"filter": {
"employees": ["51-200", "201-500", "501-1K", "1K-5K", "5K-10K"],
"revenue": ["10m-50m", "50m-100m", "100m-200m", "200m-1b", "over-1b"],
"foundedYear": {
"min": 2000,
"max": 2020
},
"technologies": {
"in": ["hubspot", "google analytics"]
},
"country": {
"notIn": ["GB"]
},
"require": ["linkedin", "revenue"]
},
"expand": ["keywords", "technologies"],
"pageSize": 25
}'import os
import requests
response = requests.post(
"https://api.companyenrich.com/v2/companies/search",
headers={
"Authorization": f"Bearer {os.environ['COMPANYENRICH_API_KEY']}"
},
json={
"semantic": {
"query": "AI customer support platforms with shared inboxes",
"weight": 0.85
},
"filter": {
"employees": ["51-200", "201-500", "501-1K", "1K-5K", "5K-10K"],
"revenue": ["10m-50m", "50m-100m", "100m-200m", "200m-1b", "over-1b"],
"foundedYear": {
"min": 2000,
"max": 2020
},
"technologies": {
"in": ["hubspot", "google analytics"]
},
"country": {
"notIn": ["GB"]
},
"require": ["linkedin", "revenue"]
},
"expand": ["keywords", "technologies"],
"pageSize": 25
},
timeout=30,
)
response.raise_for_status()
print(response.json())const response = await fetch(
"https://api.companyenrich.com/v2/companies/search",
{
method: "POST",
headers: {
Authorization: `Bearer ${process.env.COMPANYENRICH_API_KEY}`,
"Content-Type": "application/json"
},
body: JSON.stringify({
"semantic": {
"query": "AI customer support platforms with shared inboxes",
"weight": 0.85
},
"filter": {
"employees": ["51-200", "201-500", "501-1K", "1K-5K", "5K-10K"],
"revenue": ["10m-50m", "50m-100m", "100m-200m", "200m-1b", "over-1b"],
"foundedYear": {
"min": 2000,
"max": 2020
},
"technologies": {
"in": ["hubspot", "google analytics"]
},
"country": {
"notIn": ["GB"]
},
"require": ["linkedin", "revenue"]
},
"expand": ["keywords", "technologies"],
"pageSize": 25
})
}
);
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());{
"items": [
{
"id": "01925249-877f-7e49-9e4d-f1ce77eb52b4",
"name": "Help Scout",
"domain": "helpscout.com",
"type": "private",
"employees": "51-200",
"revenue": "10m-50m",
"foundedYear": 2011,
"keywords": [
"shared inbox",
"AI chatbot",
"customer support software"
],
"technologies": [
"hubspot",
"amazon aws",
"python"
],
"location": {
"country": {
"code": "US",
"name": "United States"
}
},
"socials": {
"linkedinUrl": "https://www.linkedin.com/company/help-scout"
}
},
{
"id": "019257ab-3925-788e-b4dd-8635bed707d7",
"name": "Intercom",
"domain": "intercom.com",
"type": "private",
"employees": "1K-5K",
"revenue": "50m-100m",
"foundedYear": 2011,
"keywords": [
"shared inbox",
"AI customer service",
"customer service software"
],
"technologies": [
"intercom",
"google analytics",
"react"
],
"location": {
"country": {
"code": "US",
"name": "United States"
}
},
"socials": {
"linkedinUrl": "https://www.linkedin.com/company/intercom"
}
},
{
"id": "01924e9c-6396-766f-bb6c-75cf748b66ba",
"name": "Zendesk",
"domain": "zendesk.com",
"employees": "5K-10K",
"revenue": "over-1b",
"foundedYear": 2007,
"keywords": [
"customer service",
"help desk",
"ticketing system"
],
"technologies": [
"google analytics",
"wordpress",
"cloudflare cdn"
],
"location": {
"country": {
"code": "US",
"name": "United States"
}
},
"socials": {
"linkedinUrl": "https://www.linkedin.com/company/zendesk"
}
}
],
"nextCursor": "<opaque cursor>"
}Set COMPANYENRICH_API_KEY in your environment, then copy the request.Uses the requests package. Set COMPANYENRICH_API_KEY in your environment.Uses Node.js 18+ and its built-in fetch. Set COMPANYENRICH_API_KEY in your environment.
Find companies by industry code or a plain-English description, then use their profiles in your CRM, product, or People Search workflow.
“Companies that provide compliance software for banks.”
Use this description as the semantic query. Add country and employee filters to target US companies with 51–200 employees, and exclude the domains of accounts you already have.
Every integration is unique. Whether you're enriching CRM data, powering AI agents, or automating lead generation — we'll show you exactly how our API fits.
Technical questions?
Our engineers will join the call.
Pricing concerns?
We'll design a plan that scales with you.
Integration help?
Walk away with working code samples.
Amirali, Co-Founder
Zeynep, Partnership Manager
Ekin, Co-Founder & CTO
CompanyEnrichGet answers, not a sales pitch
Book a demo