Find companies
TAM By People API: Companies by Buyer Persona
Build a TAM from headcount signals: filter people by title, function, level and location plus firmographics, and get the distinct companies they work at.
POST
/
v2
/
company
/
tam-by-people
TAM By People
curl --request POST \
--url https://api.blitz-api.ai/v2/company/tam-by-people \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"company": {
"linkedin_url": [],
"name": {
"include": [],
"exclude": []
},
"industry": {
"include": [],
"exclude": []
},
"type": {
"include": [],
"exclude": []
},
"employee_range": [
"1-10",
"11-50",
"51-200",
"201-500",
"501-1000",
"1001-5000",
"5001-10000",
"10001+"
],
"employee_count": {
"min": 1,
"max": 0
},
"min_linkedin_followers": 1,
"revenue": {
"min": 0,
"max": 0
},
"naics_code": {
"include": [],
"exclude": []
},
"sic_code": {
"include": [],
"exclude": []
},
"web_traffic": {
"min": 0,
"max": 0
},
"ad_spend": {
"min": 0,
"max": 0
},
"total_funding": {
"min": 0,
"max": 0
},
"last_funding_amount": {
"min": 0,
"max": 0
},
"last_funding_year": {
"min": 0,
"max": 0
},
"last_funding_type": {
"include": [],
"exclude": []
},
"lead_investors": {
"include": [],
"exclude": []
},
"keywords": {
"include": [],
"exclude": []
},
"founded_year": {
"min": 0,
"max": 0
},
"hq": {
"city": {
"include": [],
"exclude": []
},
"country_code": [],
"continent": [],
"sales_region": []
}
},
"people": {
"job_title": {
"include_linkedin_headline": false,
"include": [],
"exclude": []
},
"job_function": [],
"job_level": [],
"min_connections": 500,
"location": {
"city": {
"include": [],
"exclude": []
},
"country_code": [
"US"
],
"continent": [],
"sales_region": []
},
"education": {
"include": [],
"exclude": []
}
},
"max_results": 3,
"cursor": null
}
'import requests
url = "https://api.blitz-api.ai/v2/company/tam-by-people"
payload = {
"company": {
"linkedin_url": [],
"name": {
"include": [],
"exclude": []
},
"industry": {
"include": [],
"exclude": []
},
"type": {
"include": [],
"exclude": []
},
"employee_range": ["1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+"],
"employee_count": {
"min": 1,
"max": 0
},
"min_linkedin_followers": 1,
"revenue": {
"min": 0,
"max": 0
},
"naics_code": {
"include": [],
"exclude": []
},
"sic_code": {
"include": [],
"exclude": []
},
"web_traffic": {
"min": 0,
"max": 0
},
"ad_spend": {
"min": 0,
"max": 0
},
"total_funding": {
"min": 0,
"max": 0
},
"last_funding_amount": {
"min": 0,
"max": 0
},
"last_funding_year": {
"min": 0,
"max": 0
},
"last_funding_type": {
"include": [],
"exclude": []
},
"lead_investors": {
"include": [],
"exclude": []
},
"keywords": {
"include": [],
"exclude": []
},
"founded_year": {
"min": 0,
"max": 0
},
"hq": {
"city": {
"include": [],
"exclude": []
},
"country_code": [],
"continent": [],
"sales_region": []
}
},
"people": {
"job_title": {
"include_linkedin_headline": False,
"include": [],
"exclude": []
},
"job_function": [],
"job_level": [],
"min_connections": 500,
"location": {
"city": {
"include": [],
"exclude": []
},
"country_code": ["US"],
"continent": [],
"sales_region": []
},
"education": {
"include": [],
"exclude": []
}
},
"max_results": 3,
"cursor": None
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
company: {
linkedin_url: [],
name: {include: [], exclude: []},
industry: {include: [], exclude: []},
type: {include: [], exclude: []},
employee_range: [
'1-10',
'11-50',
'51-200',
'201-500',
'501-1000',
'1001-5000',
'5001-10000',
'10001+'
],
employee_count: {min: 1, max: 0},
min_linkedin_followers: 1,
revenue: {min: 0, max: 0},
naics_code: {include: [], exclude: []},
sic_code: {include: [], exclude: []},
web_traffic: {min: 0, max: 0},
ad_spend: {min: 0, max: 0},
total_funding: {min: 0, max: 0},
last_funding_amount: {min: 0, max: 0},
last_funding_year: {min: 0, max: 0},
last_funding_type: {include: [], exclude: []},
lead_investors: {include: [], exclude: []},
keywords: {include: [], exclude: []},
founded_year: {min: 0, max: 0},
hq: {
city: {include: [], exclude: []},
country_code: [],
continent: [],
sales_region: []
}
},
people: {
job_title: {include_linkedin_headline: false, include: [], exclude: []},
job_function: [],
job_level: [],
min_connections: 500,
location: {
city: {include: [], exclude: []},
country_code: ['US'],
continent: [],
sales_region: []
},
education: {include: [], exclude: []}
},
max_results: 3,
cursor: null
})
};
fetch('https://api.blitz-api.ai/v2/company/tam-by-people', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.blitz-api.ai/v2/company/tam-by-people",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'company' => [
'linkedin_url' => [
],
'name' => [
'include' => [
],
'exclude' => [
]
],
'industry' => [
'include' => [
],
'exclude' => [
]
],
'type' => [
'include' => [
],
'exclude' => [
]
],
'employee_range' => [
'1-10',
'11-50',
'51-200',
'201-500',
'501-1000',
'1001-5000',
'5001-10000',
'10001+'
],
'employee_count' => [
'min' => 1,
'max' => 0
],
'min_linkedin_followers' => 1,
'revenue' => [
'min' => 0,
'max' => 0
],
'naics_code' => [
'include' => [
],
'exclude' => [
]
],
'sic_code' => [
'include' => [
],
'exclude' => [
]
],
'web_traffic' => [
'min' => 0,
'max' => 0
],
'ad_spend' => [
'min' => 0,
'max' => 0
],
'total_funding' => [
'min' => 0,
'max' => 0
],
'last_funding_amount' => [
'min' => 0,
'max' => 0
],
'last_funding_year' => [
'min' => 0,
'max' => 0
],
'last_funding_type' => [
'include' => [
],
'exclude' => [
]
],
'lead_investors' => [
'include' => [
],
'exclude' => [
]
],
'keywords' => [
'include' => [
],
'exclude' => [
]
],
'founded_year' => [
'min' => 0,
'max' => 0
],
'hq' => [
'city' => [
'include' => [
],
'exclude' => [
]
],
'country_code' => [
],
'continent' => [
],
'sales_region' => [
]
]
],
'people' => [
'job_title' => [
'include_linkedin_headline' => false,
'include' => [
],
'exclude' => [
]
],
'job_function' => [
],
'job_level' => [
],
'min_connections' => 500,
'location' => [
'city' => [
'include' => [
],
'exclude' => [
]
],
'country_code' => [
'US'
],
'continent' => [
],
'sales_region' => [
]
],
'education' => [
'include' => [
],
'exclude' => [
]
]
],
'max_results' => 3,
'cursor' => null
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.blitz-api.ai/v2/company/tam-by-people"
payload := strings.NewReader("{\n \"company\": {\n \"linkedin_url\": [],\n \"name\": {\n \"include\": [],\n \"exclude\": []\n },\n \"industry\": {\n \"include\": [],\n \"exclude\": []\n },\n \"type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"employee_range\": [\n \"1-10\",\n \"11-50\",\n \"51-200\",\n \"201-500\",\n \"501-1000\",\n \"1001-5000\",\n \"5001-10000\",\n \"10001+\"\n ],\n \"employee_count\": {\n \"min\": 1,\n \"max\": 0\n },\n \"min_linkedin_followers\": 1,\n \"revenue\": {\n \"min\": 0,\n \"max\": 0\n },\n \"naics_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"sic_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"web_traffic\": {\n \"min\": 0,\n \"max\": 0\n },\n \"ad_spend\": {\n \"min\": 0,\n \"max\": 0\n },\n \"total_funding\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_amount\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"lead_investors\": {\n \"include\": [],\n \"exclude\": []\n },\n \"keywords\": {\n \"include\": [],\n \"exclude\": []\n },\n \"founded_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"hq\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [],\n \"continent\": [],\n \"sales_region\": []\n }\n },\n \"people\": {\n \"job_title\": {\n \"include_linkedin_headline\": false,\n \"include\": [],\n \"exclude\": []\n },\n \"job_function\": [],\n \"job_level\": [],\n \"min_connections\": 500,\n \"location\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [\n \"US\"\n ],\n \"continent\": [],\n \"sales_region\": []\n },\n \"education\": {\n \"include\": [],\n \"exclude\": []\n }\n },\n \"max_results\": 3,\n \"cursor\": null\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.blitz-api.ai/v2/company/tam-by-people")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"company\": {\n \"linkedin_url\": [],\n \"name\": {\n \"include\": [],\n \"exclude\": []\n },\n \"industry\": {\n \"include\": [],\n \"exclude\": []\n },\n \"type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"employee_range\": [\n \"1-10\",\n \"11-50\",\n \"51-200\",\n \"201-500\",\n \"501-1000\",\n \"1001-5000\",\n \"5001-10000\",\n \"10001+\"\n ],\n \"employee_count\": {\n \"min\": 1,\n \"max\": 0\n },\n \"min_linkedin_followers\": 1,\n \"revenue\": {\n \"min\": 0,\n \"max\": 0\n },\n \"naics_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"sic_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"web_traffic\": {\n \"min\": 0,\n \"max\": 0\n },\n \"ad_spend\": {\n \"min\": 0,\n \"max\": 0\n },\n \"total_funding\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_amount\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"lead_investors\": {\n \"include\": [],\n \"exclude\": []\n },\n \"keywords\": {\n \"include\": [],\n \"exclude\": []\n },\n \"founded_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"hq\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [],\n \"continent\": [],\n \"sales_region\": []\n }\n },\n \"people\": {\n \"job_title\": {\n \"include_linkedin_headline\": false,\n \"include\": [],\n \"exclude\": []\n },\n \"job_function\": [],\n \"job_level\": [],\n \"min_connections\": 500,\n \"location\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [\n \"US\"\n ],\n \"continent\": [],\n \"sales_region\": []\n },\n \"education\": {\n \"include\": [],\n \"exclude\": []\n }\n },\n \"max_results\": 3,\n \"cursor\": null\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.blitz-api.ai/v2/company/tam-by-people")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"company\": {\n \"linkedin_url\": [],\n \"name\": {\n \"include\": [],\n \"exclude\": []\n },\n \"industry\": {\n \"include\": [],\n \"exclude\": []\n },\n \"type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"employee_range\": [\n \"1-10\",\n \"11-50\",\n \"51-200\",\n \"201-500\",\n \"501-1000\",\n \"1001-5000\",\n \"5001-10000\",\n \"10001+\"\n ],\n \"employee_count\": {\n \"min\": 1,\n \"max\": 0\n },\n \"min_linkedin_followers\": 1,\n \"revenue\": {\n \"min\": 0,\n \"max\": 0\n },\n \"naics_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"sic_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"web_traffic\": {\n \"min\": 0,\n \"max\": 0\n },\n \"ad_spend\": {\n \"min\": 0,\n \"max\": 0\n },\n \"total_funding\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_amount\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"lead_investors\": {\n \"include\": [],\n \"exclude\": []\n },\n \"keywords\": {\n \"include\": [],\n \"exclude\": []\n },\n \"founded_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"hq\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [],\n \"continent\": [],\n \"sales_region\": []\n }\n },\n \"people\": {\n \"job_title\": {\n \"include_linkedin_headline\": false,\n \"include\": [],\n \"exclude\": []\n },\n \"job_function\": [],\n \"job_level\": [],\n \"min_connections\": 500,\n \"location\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [\n \"US\"\n ],\n \"continent\": [],\n \"sales_region\": []\n },\n \"education\": {\n \"include\": [],\n \"exclude\": []\n }\n },\n \"max_results\": 3,\n \"cursor\": null\n}"
response = http.request(request)
puts response.read_body{
"results": [
{
"company": {
"linkedin_url": "https://www.linkedin.com/company/google",
"linkedin_id": 1441,
"name": "Google",
"about": "A problem isn\\'t truly solved until it\\'s solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh",
"specialties": [
"mobile",
"hardware",
"youtube",
"machine learning",
"artificial intelligence",
"software",
"search",
"apps",
"cloud",
"online video",
"virtual reality",
"roid",
"ads"
],
"industry": "Software Development",
"type": "Public Company",
"size": "10001+",
"revenue_range": "$1B+",
"employees_on_linkedin": 328177,
"followers": 40093219,
"founded_year": null,
"hq": {
"city": "Mountain View",
"state": "California",
"country_code": "US",
"country_name": "United States",
"region": "NORAM",
"continent": "North America"
},
"domain": "google.com",
"website": "https://www.google.com"
},
"matched_people": 42
},
{
"company": {
"linkedin_url": "https://www.linkedin.com/company/amazon",
"linkedin_id": 1586,
"name": "Amazon",
"about": "Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth\\'s most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You\\'ll also hear us say that at Amazon, it\\'s always \\\"Day 1.\\\" What do we mean? That our approach remains the same as it was on Amazon\\'s very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.",
"specialties": [
"operations",
"internet",
"retail",
"e-commerce"
],
"industry": "Software Development",
"type": "Public Company",
"size": "10001+",
"revenue_range": "$1B+",
"employees_on_linkedin": 778681,
"followers": 35961516,
"founded_year": null,
"hq": {
"city": "Seattle",
"state": "Washington",
"country_code": "US",
"country_name": "United States",
"region": "NORAM",
"continent": "North America"
},
"domain": "amazon.com",
"website": "https://www.amazon.com"
},
"matched_people": 27
},
{
"company": {
"linkedin_url": "https://www.linkedin.com/company/1337",
"linkedin_id": 1337,
"name": "Linkedin",
"about": "Founded in 2003, LinkedIn connects the world\\'s professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world\\'s largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.",
"specialties": [
"address book",
"recruiting",
"people search",
"group collaboration",
"online professional network",
"company search",
"jobs",
"professional identity",
"advertising"
],
"industry": "Software Development",
"type": "Public Company",
"size": "10001+",
"revenue_range": "$1B+",
"employees_on_linkedin": 23910,
"followers": 32612546,
"founded_year": null,
"hq": {
"city": "Sunnyvale",
"state": "California",
"country_code": "US",
"country_name": "United States",
"region": "NORAM",
"continent": "North America"
},
"domain": null,
"website": "https://www.linkedin.com"
},
"matched_people": 4
}
],
"results_length": 3,
"max_results": 3,
"cursor": "eyJvZmZzZXQiOjN9",
"fair_usage": {
"records_used": 3,
"records_remaining": 9913547,
"next_reset_at": "2026-09-29T10:25:23.155Z",
"rate_limit": {
"requests_per_second": 10,
"remaining_this_second": 9
},
"request_id": "019bae09-0055-7441-b2ea-16086e499219"
}
}
Agents & LLMs: a Markdown version of this page is available by appending .md to the URL, and the full documentation index is at llms.txt.
POST /v2/company/tam-by-people) builds a total addressable market (TAM) from headcount signals. It takes the same filters as Find People, plus a people.linkedin_url filter and without the include_active_jobs and include_past_jobs flags (only current jobs count), but returns the distinct companies employing the matching people (deduplicated), each with its matched_people count. Use it to size the set of accounts that actually employ your buyer persona.
1 record per result
Pagination is cursor-based. Pass the
cursor returned by each response back into the next request. cursor: null means you’re on the first page; a null cursor in the response means you’ve reached the end. Pagination stops at 50,000 companies: the page that reaches this cap returns cursor: null, like a normal end. To go further, split the search into narrower filters that each stay under the cap.people.min_per_company floors the matched-people count, so only companies with at least that many matching employees are returned (max 25, 0 = unset). When it filters heavily, a page may come back partial: keep paging until cursor is null.TAM By People vs TAM By Jobs: By People sizes accounts on who already works there, By Jobs on who they are hiring. Use By People for persona-based ICP sizing, By Jobs for intent.
Filter logic: all filters combine with AND. Multiple values within a single
include list combine with OR. Use exclude to filter matches out.Company search guide
Build an ICP-aligned company list, with a full walk-through and example filters.
TAM By People API: product overview
Use cases, coverage, and the endpoints it chains with.
Authorizations
Your BlitzAPI key. Get one from https://app.blitz-api.ai
Body
application/json
Company search criteria
Show child attributes
Show child attributes
People search criteria for company matching
Show child attributes
Show child attributes
Maximum number of results to return
Required range:
1 <= x <= 50Example:
10
Cursor to paginate through the results
Minimum string length:
3Example:
null
⌘I
TAM By People
curl --request POST \
--url https://api.blitz-api.ai/v2/company/tam-by-people \
--header 'Content-Type: application/json' \
--header 'x-api-key: <api-key>' \
--data '
{
"company": {
"linkedin_url": [],
"name": {
"include": [],
"exclude": []
},
"industry": {
"include": [],
"exclude": []
},
"type": {
"include": [],
"exclude": []
},
"employee_range": [
"1-10",
"11-50",
"51-200",
"201-500",
"501-1000",
"1001-5000",
"5001-10000",
"10001+"
],
"employee_count": {
"min": 1,
"max": 0
},
"min_linkedin_followers": 1,
"revenue": {
"min": 0,
"max": 0
},
"naics_code": {
"include": [],
"exclude": []
},
"sic_code": {
"include": [],
"exclude": []
},
"web_traffic": {
"min": 0,
"max": 0
},
"ad_spend": {
"min": 0,
"max": 0
},
"total_funding": {
"min": 0,
"max": 0
},
"last_funding_amount": {
"min": 0,
"max": 0
},
"last_funding_year": {
"min": 0,
"max": 0
},
"last_funding_type": {
"include": [],
"exclude": []
},
"lead_investors": {
"include": [],
"exclude": []
},
"keywords": {
"include": [],
"exclude": []
},
"founded_year": {
"min": 0,
"max": 0
},
"hq": {
"city": {
"include": [],
"exclude": []
},
"country_code": [],
"continent": [],
"sales_region": []
}
},
"people": {
"job_title": {
"include_linkedin_headline": false,
"include": [],
"exclude": []
},
"job_function": [],
"job_level": [],
"min_connections": 500,
"location": {
"city": {
"include": [],
"exclude": []
},
"country_code": [
"US"
],
"continent": [],
"sales_region": []
},
"education": {
"include": [],
"exclude": []
}
},
"max_results": 3,
"cursor": null
}
'import requests
url = "https://api.blitz-api.ai/v2/company/tam-by-people"
payload = {
"company": {
"linkedin_url": [],
"name": {
"include": [],
"exclude": []
},
"industry": {
"include": [],
"exclude": []
},
"type": {
"include": [],
"exclude": []
},
"employee_range": ["1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+"],
"employee_count": {
"min": 1,
"max": 0
},
"min_linkedin_followers": 1,
"revenue": {
"min": 0,
"max": 0
},
"naics_code": {
"include": [],
"exclude": []
},
"sic_code": {
"include": [],
"exclude": []
},
"web_traffic": {
"min": 0,
"max": 0
},
"ad_spend": {
"min": 0,
"max": 0
},
"total_funding": {
"min": 0,
"max": 0
},
"last_funding_amount": {
"min": 0,
"max": 0
},
"last_funding_year": {
"min": 0,
"max": 0
},
"last_funding_type": {
"include": [],
"exclude": []
},
"lead_investors": {
"include": [],
"exclude": []
},
"keywords": {
"include": [],
"exclude": []
},
"founded_year": {
"min": 0,
"max": 0
},
"hq": {
"city": {
"include": [],
"exclude": []
},
"country_code": [],
"continent": [],
"sales_region": []
}
},
"people": {
"job_title": {
"include_linkedin_headline": False,
"include": [],
"exclude": []
},
"job_function": [],
"job_level": [],
"min_connections": 500,
"location": {
"city": {
"include": [],
"exclude": []
},
"country_code": ["US"],
"continent": [],
"sales_region": []
},
"education": {
"include": [],
"exclude": []
}
},
"max_results": 3,
"cursor": None
}
headers = {
"x-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
company: {
linkedin_url: [],
name: {include: [], exclude: []},
industry: {include: [], exclude: []},
type: {include: [], exclude: []},
employee_range: [
'1-10',
'11-50',
'51-200',
'201-500',
'501-1000',
'1001-5000',
'5001-10000',
'10001+'
],
employee_count: {min: 1, max: 0},
min_linkedin_followers: 1,
revenue: {min: 0, max: 0},
naics_code: {include: [], exclude: []},
sic_code: {include: [], exclude: []},
web_traffic: {min: 0, max: 0},
ad_spend: {min: 0, max: 0},
total_funding: {min: 0, max: 0},
last_funding_amount: {min: 0, max: 0},
last_funding_year: {min: 0, max: 0},
last_funding_type: {include: [], exclude: []},
lead_investors: {include: [], exclude: []},
keywords: {include: [], exclude: []},
founded_year: {min: 0, max: 0},
hq: {
city: {include: [], exclude: []},
country_code: [],
continent: [],
sales_region: []
}
},
people: {
job_title: {include_linkedin_headline: false, include: [], exclude: []},
job_function: [],
job_level: [],
min_connections: 500,
location: {
city: {include: [], exclude: []},
country_code: ['US'],
continent: [],
sales_region: []
},
education: {include: [], exclude: []}
},
max_results: 3,
cursor: null
})
};
fetch('https://api.blitz-api.ai/v2/company/tam-by-people', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.blitz-api.ai/v2/company/tam-by-people",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'company' => [
'linkedin_url' => [
],
'name' => [
'include' => [
],
'exclude' => [
]
],
'industry' => [
'include' => [
],
'exclude' => [
]
],
'type' => [
'include' => [
],
'exclude' => [
]
],
'employee_range' => [
'1-10',
'11-50',
'51-200',
'201-500',
'501-1000',
'1001-5000',
'5001-10000',
'10001+'
],
'employee_count' => [
'min' => 1,
'max' => 0
],
'min_linkedin_followers' => 1,
'revenue' => [
'min' => 0,
'max' => 0
],
'naics_code' => [
'include' => [
],
'exclude' => [
]
],
'sic_code' => [
'include' => [
],
'exclude' => [
]
],
'web_traffic' => [
'min' => 0,
'max' => 0
],
'ad_spend' => [
'min' => 0,
'max' => 0
],
'total_funding' => [
'min' => 0,
'max' => 0
],
'last_funding_amount' => [
'min' => 0,
'max' => 0
],
'last_funding_year' => [
'min' => 0,
'max' => 0
],
'last_funding_type' => [
'include' => [
],
'exclude' => [
]
],
'lead_investors' => [
'include' => [
],
'exclude' => [
]
],
'keywords' => [
'include' => [
],
'exclude' => [
]
],
'founded_year' => [
'min' => 0,
'max' => 0
],
'hq' => [
'city' => [
'include' => [
],
'exclude' => [
]
],
'country_code' => [
],
'continent' => [
],
'sales_region' => [
]
]
],
'people' => [
'job_title' => [
'include_linkedin_headline' => false,
'include' => [
],
'exclude' => [
]
],
'job_function' => [
],
'job_level' => [
],
'min_connections' => 500,
'location' => [
'city' => [
'include' => [
],
'exclude' => [
]
],
'country_code' => [
'US'
],
'continent' => [
],
'sales_region' => [
]
],
'education' => [
'include' => [
],
'exclude' => [
]
]
],
'max_results' => 3,
'cursor' => null
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.blitz-api.ai/v2/company/tam-by-people"
payload := strings.NewReader("{\n \"company\": {\n \"linkedin_url\": [],\n \"name\": {\n \"include\": [],\n \"exclude\": []\n },\n \"industry\": {\n \"include\": [],\n \"exclude\": []\n },\n \"type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"employee_range\": [\n \"1-10\",\n \"11-50\",\n \"51-200\",\n \"201-500\",\n \"501-1000\",\n \"1001-5000\",\n \"5001-10000\",\n \"10001+\"\n ],\n \"employee_count\": {\n \"min\": 1,\n \"max\": 0\n },\n \"min_linkedin_followers\": 1,\n \"revenue\": {\n \"min\": 0,\n \"max\": 0\n },\n \"naics_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"sic_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"web_traffic\": {\n \"min\": 0,\n \"max\": 0\n },\n \"ad_spend\": {\n \"min\": 0,\n \"max\": 0\n },\n \"total_funding\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_amount\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"lead_investors\": {\n \"include\": [],\n \"exclude\": []\n },\n \"keywords\": {\n \"include\": [],\n \"exclude\": []\n },\n \"founded_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"hq\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [],\n \"continent\": [],\n \"sales_region\": []\n }\n },\n \"people\": {\n \"job_title\": {\n \"include_linkedin_headline\": false,\n \"include\": [],\n \"exclude\": []\n },\n \"job_function\": [],\n \"job_level\": [],\n \"min_connections\": 500,\n \"location\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [\n \"US\"\n ],\n \"continent\": [],\n \"sales_region\": []\n },\n \"education\": {\n \"include\": [],\n \"exclude\": []\n }\n },\n \"max_results\": 3,\n \"cursor\": null\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-api-key", "<api-key>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.blitz-api.ai/v2/company/tam-by-people")
.header("x-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"company\": {\n \"linkedin_url\": [],\n \"name\": {\n \"include\": [],\n \"exclude\": []\n },\n \"industry\": {\n \"include\": [],\n \"exclude\": []\n },\n \"type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"employee_range\": [\n \"1-10\",\n \"11-50\",\n \"51-200\",\n \"201-500\",\n \"501-1000\",\n \"1001-5000\",\n \"5001-10000\",\n \"10001+\"\n ],\n \"employee_count\": {\n \"min\": 1,\n \"max\": 0\n },\n \"min_linkedin_followers\": 1,\n \"revenue\": {\n \"min\": 0,\n \"max\": 0\n },\n \"naics_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"sic_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"web_traffic\": {\n \"min\": 0,\n \"max\": 0\n },\n \"ad_spend\": {\n \"min\": 0,\n \"max\": 0\n },\n \"total_funding\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_amount\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"lead_investors\": {\n \"include\": [],\n \"exclude\": []\n },\n \"keywords\": {\n \"include\": [],\n \"exclude\": []\n },\n \"founded_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"hq\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [],\n \"continent\": [],\n \"sales_region\": []\n }\n },\n \"people\": {\n \"job_title\": {\n \"include_linkedin_headline\": false,\n \"include\": [],\n \"exclude\": []\n },\n \"job_function\": [],\n \"job_level\": [],\n \"min_connections\": 500,\n \"location\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [\n \"US\"\n ],\n \"continent\": [],\n \"sales_region\": []\n },\n \"education\": {\n \"include\": [],\n \"exclude\": []\n }\n },\n \"max_results\": 3,\n \"cursor\": null\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.blitz-api.ai/v2/company/tam-by-people")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"company\": {\n \"linkedin_url\": [],\n \"name\": {\n \"include\": [],\n \"exclude\": []\n },\n \"industry\": {\n \"include\": [],\n \"exclude\": []\n },\n \"type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"employee_range\": [\n \"1-10\",\n \"11-50\",\n \"51-200\",\n \"201-500\",\n \"501-1000\",\n \"1001-5000\",\n \"5001-10000\",\n \"10001+\"\n ],\n \"employee_count\": {\n \"min\": 1,\n \"max\": 0\n },\n \"min_linkedin_followers\": 1,\n \"revenue\": {\n \"min\": 0,\n \"max\": 0\n },\n \"naics_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"sic_code\": {\n \"include\": [],\n \"exclude\": []\n },\n \"web_traffic\": {\n \"min\": 0,\n \"max\": 0\n },\n \"ad_spend\": {\n \"min\": 0,\n \"max\": 0\n },\n \"total_funding\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_amount\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"last_funding_type\": {\n \"include\": [],\n \"exclude\": []\n },\n \"lead_investors\": {\n \"include\": [],\n \"exclude\": []\n },\n \"keywords\": {\n \"include\": [],\n \"exclude\": []\n },\n \"founded_year\": {\n \"min\": 0,\n \"max\": 0\n },\n \"hq\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [],\n \"continent\": [],\n \"sales_region\": []\n }\n },\n \"people\": {\n \"job_title\": {\n \"include_linkedin_headline\": false,\n \"include\": [],\n \"exclude\": []\n },\n \"job_function\": [],\n \"job_level\": [],\n \"min_connections\": 500,\n \"location\": {\n \"city\": {\n \"include\": [],\n \"exclude\": []\n },\n \"country_code\": [\n \"US\"\n ],\n \"continent\": [],\n \"sales_region\": []\n },\n \"education\": {\n \"include\": [],\n \"exclude\": []\n }\n },\n \"max_results\": 3,\n \"cursor\": null\n}"
response = http.request(request)
puts response.read_body{
"results": [
{
"company": {
"linkedin_url": "https://www.linkedin.com/company/google",
"linkedin_id": 1441,
"name": "Google",
"about": "A problem isn\\'t truly solved until it\\'s solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh",
"specialties": [
"mobile",
"hardware",
"youtube",
"machine learning",
"artificial intelligence",
"software",
"search",
"apps",
"cloud",
"online video",
"virtual reality",
"roid",
"ads"
],
"industry": "Software Development",
"type": "Public Company",
"size": "10001+",
"revenue_range": "$1B+",
"employees_on_linkedin": 328177,
"followers": 40093219,
"founded_year": null,
"hq": {
"city": "Mountain View",
"state": "California",
"country_code": "US",
"country_name": "United States",
"region": "NORAM",
"continent": "North America"
},
"domain": "google.com",
"website": "https://www.google.com"
},
"matched_people": 42
},
{
"company": {
"linkedin_url": "https://www.linkedin.com/company/amazon",
"linkedin_id": 1586,
"name": "Amazon",
"about": "Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth\\'s most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You\\'ll also hear us say that at Amazon, it\\'s always \\\"Day 1.\\\" What do we mean? That our approach remains the same as it was on Amazon\\'s very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.",
"specialties": [
"operations",
"internet",
"retail",
"e-commerce"
],
"industry": "Software Development",
"type": "Public Company",
"size": "10001+",
"revenue_range": "$1B+",
"employees_on_linkedin": 778681,
"followers": 35961516,
"founded_year": null,
"hq": {
"city": "Seattle",
"state": "Washington",
"country_code": "US",
"country_name": "United States",
"region": "NORAM",
"continent": "North America"
},
"domain": "amazon.com",
"website": "https://www.amazon.com"
},
"matched_people": 27
},
{
"company": {
"linkedin_url": "https://www.linkedin.com/company/1337",
"linkedin_id": 1337,
"name": "Linkedin",
"about": "Founded in 2003, LinkedIn connects the world\\'s professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world\\'s largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.",
"specialties": [
"address book",
"recruiting",
"people search",
"group collaboration",
"online professional network",
"company search",
"jobs",
"professional identity",
"advertising"
],
"industry": "Software Development",
"type": "Public Company",
"size": "10001+",
"revenue_range": "$1B+",
"employees_on_linkedin": 23910,
"followers": 32612546,
"founded_year": null,
"hq": {
"city": "Sunnyvale",
"state": "California",
"country_code": "US",
"country_name": "United States",
"region": "NORAM",
"continent": "North America"
},
"domain": null,
"website": "https://www.linkedin.com"
},
"matched_people": 4
}
],
"results_length": 3,
"max_results": 3,
"cursor": "eyJvZmZzZXQiOjN9",
"fair_usage": {
"records_used": 3,
"records_remaining": 9913547,
"next_reset_at": "2026-09-29T10:25:23.155Z",
"rate_limit": {
"requests_per_second": 10,
"remaining_this_second": 9
},
"request_id": "019bae09-0055-7441-b2ea-16086e499219"
}
}