curl --request POST \
--url https://api.pubrio.com/expansions/companies/rankings \
--header 'Content-Type: application/json' \
--header 'pubrio-api-key: <api-key>' \
--data '
{
"froms": [
"US",
"GB"
],
"tos": [
"US",
"GB"
],
"exclude_froms": [
"US",
"GB"
],
"exclude_tos": [
"US",
"GB"
],
"stages": [
"committing",
"expanding"
],
"signal_types": [
"EXEC",
"HIRE"
],
"signal_strengths": [
"high"
],
"min_signal_count": 3,
"only_contraction": false,
"domain_search_ids": [
"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c"
],
"verticals": [
123
],
"vertical_categories": [
123
],
"vertical_sub_categories": [
123
],
"technologies": [
123
],
"employees": [
[
1,
10
],
[
11,
20
],
[
10001
]
],
"revenues": [
0,
100000
],
"founded_dates": [
2018,
2024
],
"keywords": [
"ecommerce",
"ai",
"fintech"
],
"companies": [
"stripe.com",
"https://www.linkedin.com/company/airbnb",
"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70"
],
"job_locations": [
"US",
"SG",
"CN"
],
"job_exclude_locations": [
"CN",
"US",
"RU",
"CA"
],
"job_posted_dates": [
"2025-01-01",
"2025-01-10"
],
"job_titles": [
"sales manager",
"marketing manager"
],
"advertisement_target_locations": [
"TW",
"AE",
"NO"
],
"advertisement_exclude_target_locations": [
"IS",
"GB",
"FR",
"IE",
"ES"
],
"advertisement_search_terms": [
"asus"
],
"advertisement_start_dates": [
"2025-12-25",
"2025-12-25"
],
"advertisement_end_dates": [
"2025-12-25",
"2025-12-25"
],
"news_categories": [
"launches"
],
"news_published_dates": [
"2025-01-01",
"2025-01-10"
],
"is_include_established": false,
"select_size": 50,
"is_include_metadata": true,
"is_enable_similarity_search": true
}
'import requests
url = "https://api.pubrio.com/expansions/companies/rankings"
payload = {
"froms": ["US", "GB"],
"tos": ["US", "GB"],
"exclude_froms": ["US", "GB"],
"exclude_tos": ["US", "GB"],
"stages": ["committing", "expanding"],
"signal_types": ["EXEC", "HIRE"],
"signal_strengths": ["high"],
"min_signal_count": 3,
"only_contraction": False,
"domain_search_ids": ["8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c"],
"verticals": [123],
"vertical_categories": [123],
"vertical_sub_categories": [123],
"technologies": [123],
"employees": [[1, 10], [11, 20], [10001]],
"revenues": [0, 100000],
"founded_dates": [2018, 2024],
"keywords": ["ecommerce", "ai", "fintech"],
"companies": ["stripe.com", "https://www.linkedin.com/company/airbnb", "b7d92a56-31f8-4c0b-ae43-19c8e5f24b70"],
"job_locations": ["US", "SG", "CN"],
"job_exclude_locations": ["CN", "US", "RU", "CA"],
"job_posted_dates": ["2025-01-01", "2025-01-10"],
"job_titles": ["sales manager", "marketing manager"],
"advertisement_target_locations": ["TW", "AE", "NO"],
"advertisement_exclude_target_locations": ["IS", "GB", "FR", "IE", "ES"],
"advertisement_search_terms": ["asus"],
"advertisement_start_dates": ["2025-12-25", "2025-12-25"],
"advertisement_end_dates": ["2025-12-25", "2025-12-25"],
"news_categories": ["launches"],
"news_published_dates": ["2025-01-01", "2025-01-10"],
"is_include_established": False,
"select_size": 50,
"is_include_metadata": True,
"is_enable_similarity_search": True
}
headers = {
"pubrio-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'pubrio-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
froms: ['US', 'GB'],
tos: ['US', 'GB'],
exclude_froms: ['US', 'GB'],
exclude_tos: ['US', 'GB'],
stages: ['committing', 'expanding'],
signal_types: ['EXEC', 'HIRE'],
signal_strengths: ['high'],
min_signal_count: 3,
only_contraction: false,
domain_search_ids: ['8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c'],
verticals: [123],
vertical_categories: [123],
vertical_sub_categories: [123],
technologies: [123],
employees: [[1, 10], [11, 20], [10001]],
revenues: [0, 100000],
founded_dates: [2018, 2024],
keywords: ['ecommerce', 'ai', 'fintech'],
companies: [
'stripe.com',
'https://www.linkedin.com/company/airbnb',
'b7d92a56-31f8-4c0b-ae43-19c8e5f24b70'
],
job_locations: ['US', 'SG', 'CN'],
job_exclude_locations: ['CN', 'US', 'RU', 'CA'],
job_posted_dates: ['2025-01-01', '2025-01-10'],
job_titles: ['sales manager', 'marketing manager'],
advertisement_target_locations: ['TW', 'AE', 'NO'],
advertisement_exclude_target_locations: ['IS', 'GB', 'FR', 'IE', 'ES'],
advertisement_search_terms: ['asus'],
advertisement_start_dates: ['2025-12-25', '2025-12-25'],
advertisement_end_dates: ['2025-12-25', '2025-12-25'],
news_categories: ['launches'],
news_published_dates: ['2025-01-01', '2025-01-10'],
is_include_established: false,
select_size: 50,
is_include_metadata: true,
is_enable_similarity_search: true
})
};
fetch('https://api.pubrio.com/expansions/companies/rankings', 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.pubrio.com/expansions/companies/rankings",
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([
'froms' => [
'US',
'GB'
],
'tos' => [
'US',
'GB'
],
'exclude_froms' => [
'US',
'GB'
],
'exclude_tos' => [
'US',
'GB'
],
'stages' => [
'committing',
'expanding'
],
'signal_types' => [
'EXEC',
'HIRE'
],
'signal_strengths' => [
'high'
],
'min_signal_count' => 3,
'only_contraction' => false,
'domain_search_ids' => [
'8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c'
],
'verticals' => [
123
],
'vertical_categories' => [
123
],
'vertical_sub_categories' => [
123
],
'technologies' => [
123
],
'employees' => [
[
1,
10
],
[
11,
20
],
[
10001
]
],
'revenues' => [
0,
100000
],
'founded_dates' => [
2018,
2024
],
'keywords' => [
'ecommerce',
'ai',
'fintech'
],
'companies' => [
'stripe.com',
'https://www.linkedin.com/company/airbnb',
'b7d92a56-31f8-4c0b-ae43-19c8e5f24b70'
],
'job_locations' => [
'US',
'SG',
'CN'
],
'job_exclude_locations' => [
'CN',
'US',
'RU',
'CA'
],
'job_posted_dates' => [
'2025-01-01',
'2025-01-10'
],
'job_titles' => [
'sales manager',
'marketing manager'
],
'advertisement_target_locations' => [
'TW',
'AE',
'NO'
],
'advertisement_exclude_target_locations' => [
'IS',
'GB',
'FR',
'IE',
'ES'
],
'advertisement_search_terms' => [
'asus'
],
'advertisement_start_dates' => [
'2025-12-25',
'2025-12-25'
],
'advertisement_end_dates' => [
'2025-12-25',
'2025-12-25'
],
'news_categories' => [
'launches'
],
'news_published_dates' => [
'2025-01-01',
'2025-01-10'
],
'is_include_established' => false,
'select_size' => 50,
'is_include_metadata' => true,
'is_enable_similarity_search' => true
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"pubrio-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.pubrio.com/expansions/companies/rankings"
payload := strings.NewReader("{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"domain_search_ids\": [\n \"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c\"\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_include_established\": false,\n \"select_size\": 50,\n \"is_include_metadata\": true,\n \"is_enable_similarity_search\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("pubrio-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.pubrio.com/expansions/companies/rankings")
.header("pubrio-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"domain_search_ids\": [\n \"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c\"\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_include_established\": false,\n \"select_size\": 50,\n \"is_include_metadata\": true,\n \"is_enable_similarity_search\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pubrio.com/expansions/companies/rankings")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["pubrio-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"domain_search_ids\": [\n \"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c\"\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_include_established\": false,\n \"select_size\": 50,\n \"is_include_metadata\": true,\n \"is_enable_similarity_search\": true\n}"
response = http.request(request)
puts response.read_body{
"metadata": {
"filters": {
"froms": [
"CN"
],
"tos": [
"GB"
]
},
"select_size": 250,
"count": 1
},
"data": {
"markers": [
{
"domain_search_id": "8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c",
"country_code": "US",
"stage_slug": "expanding",
"expansion_score": 0.721,
"freshness": "fresh",
"direction": "advancing"
}
]
}
}{
"code": 40001,
"message": "Errors and codes will vary depending on the scenario, please see the documentation for information.",
"details": {}
}{
"error": "Request rate limit exceeded. Please wait and try again later."
}{
"error": "An unexpected error occurred on the server."
}Clasificación de expansión
Lista clasificada y ligera de pares empresa/mercado por puntuación de expansión, apta para representarse en mapas o mapas de calor.
curl --request POST \
--url https://api.pubrio.com/expansions/companies/rankings \
--header 'Content-Type: application/json' \
--header 'pubrio-api-key: <api-key>' \
--data '
{
"froms": [
"US",
"GB"
],
"tos": [
"US",
"GB"
],
"exclude_froms": [
"US",
"GB"
],
"exclude_tos": [
"US",
"GB"
],
"stages": [
"committing",
"expanding"
],
"signal_types": [
"EXEC",
"HIRE"
],
"signal_strengths": [
"high"
],
"min_signal_count": 3,
"only_contraction": false,
"domain_search_ids": [
"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c"
],
"verticals": [
123
],
"vertical_categories": [
123
],
"vertical_sub_categories": [
123
],
"technologies": [
123
],
"employees": [
[
1,
10
],
[
11,
20
],
[
10001
]
],
"revenues": [
0,
100000
],
"founded_dates": [
2018,
2024
],
"keywords": [
"ecommerce",
"ai",
"fintech"
],
"companies": [
"stripe.com",
"https://www.linkedin.com/company/airbnb",
"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70"
],
"job_locations": [
"US",
"SG",
"CN"
],
"job_exclude_locations": [
"CN",
"US",
"RU",
"CA"
],
"job_posted_dates": [
"2025-01-01",
"2025-01-10"
],
"job_titles": [
"sales manager",
"marketing manager"
],
"advertisement_target_locations": [
"TW",
"AE",
"NO"
],
"advertisement_exclude_target_locations": [
"IS",
"GB",
"FR",
"IE",
"ES"
],
"advertisement_search_terms": [
"asus"
],
"advertisement_start_dates": [
"2025-12-25",
"2025-12-25"
],
"advertisement_end_dates": [
"2025-12-25",
"2025-12-25"
],
"news_categories": [
"launches"
],
"news_published_dates": [
"2025-01-01",
"2025-01-10"
],
"is_include_established": false,
"select_size": 50,
"is_include_metadata": true,
"is_enable_similarity_search": true
}
'import requests
url = "https://api.pubrio.com/expansions/companies/rankings"
payload = {
"froms": ["US", "GB"],
"tos": ["US", "GB"],
"exclude_froms": ["US", "GB"],
"exclude_tos": ["US", "GB"],
"stages": ["committing", "expanding"],
"signal_types": ["EXEC", "HIRE"],
"signal_strengths": ["high"],
"min_signal_count": 3,
"only_contraction": False,
"domain_search_ids": ["8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c"],
"verticals": [123],
"vertical_categories": [123],
"vertical_sub_categories": [123],
"technologies": [123],
"employees": [[1, 10], [11, 20], [10001]],
"revenues": [0, 100000],
"founded_dates": [2018, 2024],
"keywords": ["ecommerce", "ai", "fintech"],
"companies": ["stripe.com", "https://www.linkedin.com/company/airbnb", "b7d92a56-31f8-4c0b-ae43-19c8e5f24b70"],
"job_locations": ["US", "SG", "CN"],
"job_exclude_locations": ["CN", "US", "RU", "CA"],
"job_posted_dates": ["2025-01-01", "2025-01-10"],
"job_titles": ["sales manager", "marketing manager"],
"advertisement_target_locations": ["TW", "AE", "NO"],
"advertisement_exclude_target_locations": ["IS", "GB", "FR", "IE", "ES"],
"advertisement_search_terms": ["asus"],
"advertisement_start_dates": ["2025-12-25", "2025-12-25"],
"advertisement_end_dates": ["2025-12-25", "2025-12-25"],
"news_categories": ["launches"],
"news_published_dates": ["2025-01-01", "2025-01-10"],
"is_include_established": False,
"select_size": 50,
"is_include_metadata": True,
"is_enable_similarity_search": True
}
headers = {
"pubrio-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'pubrio-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
froms: ['US', 'GB'],
tos: ['US', 'GB'],
exclude_froms: ['US', 'GB'],
exclude_tos: ['US', 'GB'],
stages: ['committing', 'expanding'],
signal_types: ['EXEC', 'HIRE'],
signal_strengths: ['high'],
min_signal_count: 3,
only_contraction: false,
domain_search_ids: ['8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c'],
verticals: [123],
vertical_categories: [123],
vertical_sub_categories: [123],
technologies: [123],
employees: [[1, 10], [11, 20], [10001]],
revenues: [0, 100000],
founded_dates: [2018, 2024],
keywords: ['ecommerce', 'ai', 'fintech'],
companies: [
'stripe.com',
'https://www.linkedin.com/company/airbnb',
'b7d92a56-31f8-4c0b-ae43-19c8e5f24b70'
],
job_locations: ['US', 'SG', 'CN'],
job_exclude_locations: ['CN', 'US', 'RU', 'CA'],
job_posted_dates: ['2025-01-01', '2025-01-10'],
job_titles: ['sales manager', 'marketing manager'],
advertisement_target_locations: ['TW', 'AE', 'NO'],
advertisement_exclude_target_locations: ['IS', 'GB', 'FR', 'IE', 'ES'],
advertisement_search_terms: ['asus'],
advertisement_start_dates: ['2025-12-25', '2025-12-25'],
advertisement_end_dates: ['2025-12-25', '2025-12-25'],
news_categories: ['launches'],
news_published_dates: ['2025-01-01', '2025-01-10'],
is_include_established: false,
select_size: 50,
is_include_metadata: true,
is_enable_similarity_search: true
})
};
fetch('https://api.pubrio.com/expansions/companies/rankings', 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.pubrio.com/expansions/companies/rankings",
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([
'froms' => [
'US',
'GB'
],
'tos' => [
'US',
'GB'
],
'exclude_froms' => [
'US',
'GB'
],
'exclude_tos' => [
'US',
'GB'
],
'stages' => [
'committing',
'expanding'
],
'signal_types' => [
'EXEC',
'HIRE'
],
'signal_strengths' => [
'high'
],
'min_signal_count' => 3,
'only_contraction' => false,
'domain_search_ids' => [
'8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c'
],
'verticals' => [
123
],
'vertical_categories' => [
123
],
'vertical_sub_categories' => [
123
],
'technologies' => [
123
],
'employees' => [
[
1,
10
],
[
11,
20
],
[
10001
]
],
'revenues' => [
0,
100000
],
'founded_dates' => [
2018,
2024
],
'keywords' => [
'ecommerce',
'ai',
'fintech'
],
'companies' => [
'stripe.com',
'https://www.linkedin.com/company/airbnb',
'b7d92a56-31f8-4c0b-ae43-19c8e5f24b70'
],
'job_locations' => [
'US',
'SG',
'CN'
],
'job_exclude_locations' => [
'CN',
'US',
'RU',
'CA'
],
'job_posted_dates' => [
'2025-01-01',
'2025-01-10'
],
'job_titles' => [
'sales manager',
'marketing manager'
],
'advertisement_target_locations' => [
'TW',
'AE',
'NO'
],
'advertisement_exclude_target_locations' => [
'IS',
'GB',
'FR',
'IE',
'ES'
],
'advertisement_search_terms' => [
'asus'
],
'advertisement_start_dates' => [
'2025-12-25',
'2025-12-25'
],
'advertisement_end_dates' => [
'2025-12-25',
'2025-12-25'
],
'news_categories' => [
'launches'
],
'news_published_dates' => [
'2025-01-01',
'2025-01-10'
],
'is_include_established' => false,
'select_size' => 50,
'is_include_metadata' => true,
'is_enable_similarity_search' => true
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"pubrio-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.pubrio.com/expansions/companies/rankings"
payload := strings.NewReader("{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"domain_search_ids\": [\n \"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c\"\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_include_established\": false,\n \"select_size\": 50,\n \"is_include_metadata\": true,\n \"is_enable_similarity_search\": true\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("pubrio-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.pubrio.com/expansions/companies/rankings")
.header("pubrio-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"domain_search_ids\": [\n \"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c\"\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_include_established\": false,\n \"select_size\": 50,\n \"is_include_metadata\": true,\n \"is_enable_similarity_search\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pubrio.com/expansions/companies/rankings")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["pubrio-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"froms\": [\n \"US\",\n \"GB\"\n ],\n \"tos\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_froms\": [\n \"US\",\n \"GB\"\n ],\n \"exclude_tos\": [\n \"US\",\n \"GB\"\n ],\n \"stages\": [\n \"committing\",\n \"expanding\"\n ],\n \"signal_types\": [\n \"EXEC\",\n \"HIRE\"\n ],\n \"signal_strengths\": [\n \"high\"\n ],\n \"min_signal_count\": 3,\n \"only_contraction\": false,\n \"domain_search_ids\": [\n \"8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c\"\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"technologies\": [\n 123\n ],\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"keywords\": [\n \"ecommerce\",\n \"ai\",\n \"fintech\"\n ],\n \"companies\": [\n \"stripe.com\",\n \"https://www.linkedin.com/company/airbnb\",\n \"b7d92a56-31f8-4c0b-ae43-19c8e5f24b70\"\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"job_exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"job_posted_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"job_titles\": [\n \"sales manager\",\n \"marketing manager\"\n ],\n \"advertisement_target_locations\": [\n \"TW\",\n \"AE\",\n \"NO\"\n ],\n \"advertisement_exclude_target_locations\": [\n \"IS\",\n \"GB\",\n \"FR\",\n \"IE\",\n \"ES\"\n ],\n \"advertisement_search_terms\": [\n \"asus\"\n ],\n \"advertisement_start_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"advertisement_end_dates\": [\n \"2025-12-25\",\n \"2025-12-25\"\n ],\n \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_include_established\": false,\n \"select_size\": 50,\n \"is_include_metadata\": true,\n \"is_enable_similarity_search\": true\n}"
response = http.request(request)
puts response.read_body{
"metadata": {
"filters": {
"froms": [
"CN"
],
"tos": [
"GB"
]
},
"select_size": 250,
"count": 1
},
"data": {
"markers": [
{
"domain_search_id": "8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c",
"country_code": "US",
"stage_slug": "expanding",
"expansion_score": 0.721,
"freshness": "fresh",
"direction": "advancing"
}
]
}
}{
"code": 40001,
"message": "Errors and codes will vary depending on the scenario, please see the documentation for information.",
"details": {}
}{
"error": "Request rate limit exceeded. Please wait and try again later."
}{
"error": "An unexpected error occurred on the server."
}Autorizaciones
Un token de API único que representa las acciones que realizas a través de la API, junto con los permisos y operaciones correspondientes. Puedes crearlo en la sección Configuración.
Cuerpo
Mercados de origen (ISO 3166-1 alfa-2). Desde dónde se expande una empresa: sus países de origen o sede. Úsalo solo para encontrar empresas que crecen a partir de estos mercados; combínalo con tos para un corredor origen→destino específico.
["US", "GB"]
Mercados de destino (ISO 3166-1 alfa-2). Hacia dónde se expande una empresa. Úsalo solo para encontrar todas las empresas que están entrando en estos mercados; combínalo con froms para un corredor origen→destino específico.
["US", "GB"]
Mercados de origen a excluir (ISO 3166-1 alfa-2).
["US", "GB"]
Mercados de destino a excluir (ISO 3166-1 alfa-2).
["US", "GB"]
Los valores distinguen entre mayúsculas y minúsculas, y no se validan. Un valor no reconocido se descarta silenciosamente en lugar de rechazarse: en stages, freshness, scopes y momentum se descarta el filtro completo y obtienes resultados sin filtrar, mientras que en signal_types y signal_strengths el filtro se aplica y no coincide con nada. En ambos casos, la respuesta parece normal. Resuelve los slugs válidos en Expansion Reference y compara data.pagination.total_entries con una llamada sin filtrar si un conjunto de resultados parece incorrecto.
exploring, committing, expanding, scaling ["committing", "expanding"]
Los valores distinguen entre mayúsculas y minúsculas, y no se validan. Un valor no reconocido se descarta silenciosamente en lugar de rechazarse: en stages, freshness, scopes y momentum se descarta el filtro completo y obtienes resultados sin filtrar, mientras que en signal_types y signal_strengths el filtro se aplica y no coincide con nada. En ambos casos, la respuesta parece normal. Resuelve los slugs válidos en Expansion Reference y compara data.pagination.total_entries con una llamada sin filtrar si un conjunto de resultados parece incorrecto.
AD, AUDIENCE, DNS, ENTITY, EVENT, EVENT_PLUS, EXEC, HIRE, INFRA, IP, NEWS, OFFICE, PARTNER, PRODUCT, REG, SCALE, TECH ["EXEC", "HIRE"]
Los valores distinguen entre mayúsculas y minúsculas, y no se validan. Un valor no reconocido se descarta silenciosamente en lugar de rechazarse: en stages, freshness, scopes y momentum se descarta el filtro completo y obtienes resultados sin filtrar, mientras que en signal_types y signal_strengths el filtro se aplica y no coincide con nada. En ambos casos, la respuesta parece normal. Resuelve los slugs válidos en Expansion Reference y compara data.pagination.total_entries con una llamada sin filtrar si un conjunto de resultados parece incorrecto.
low, medium, high, very_high ["high"]
Número mínimo de señales de expansión que debe tener una empresa dentro de la ventana: "muy activa / con una presencia considerable".
3
Cuando es true, devuelve solo las expansiones marcadas como contracción (empresas que están reduciendo su actividad).
false
Empresas a las que restringir, por domain_search_id.
["8f3c1b04-2e7a-4d19-9c55-6ab21f0e7d3c"]
Una lista de vertical_id utilizada para buscar empresas en un vertical o industria específica. Para encontrar el ID, llama al endpoint vertical en la pestaña Filters.
Este filtro admite is_enable_similarity_search; una vez habilitado, puedes introducir texto libre, por ejemplo ["AI"].
Una lista de vertical_category_id utilizada para buscar empresas en una categoría vertical específica. Para encontrar el ID, llama al endpoint vertical category en la pestaña Filters.
Este filtro admite is_enable_similarity_search; una vez habilitado, puedes introducir texto libre, por ejemplo ["Information Technology"].
Una lista de vertical_sub_category_id utilizada para buscar empresas en una subcategoría vertical específica. Para encontrar el ID, llama al endpoint vertical sub category en la pestaña Filters.
Este filtro admite is_enable_similarity_search; una vez habilitado, puedes introducir texto libre, por ejemplo ["Software"].
Una lista de tag_id utilizada para buscar tecnologías específicas usadas por las empresas. Para encontrar el ID, llama al endpoint technology en la pestaña Filters.
Este filtro admite is_enable_similarity_search; una vez habilitado, puedes introducir texto libre, por ejemplo ["Shopify"].
El rango numérico de empleados que trabajan en la empresa. Esto te permite encontrar empresas según su plantilla. Puedes añadir varios rangos para ampliar los resultados de búsqueda.
Consulta los endpoints company size en la pestaña Filters para más información.
[[1, 10], [11, 20], [10001]]
Rango mínimo y máximo de ingresos de la empresa.
[0, 100000]
Rango de años de fundación de la empresa. El valor máximo de fundación es el año en curso.
[2018, 2024]
Una lista de palabras clave para filtrar empresas por relevancia, especialidades o descripciones.
["ecommerce", "ai", "fintech"]
Limita el alcance a empresas específicas mediante cualquier combinación de domain_search_id, dominio de la empresa o URL de perfil de red social de la empresa. Los dominios y las URL se resuelven a la empresa mejor clasificada.
[ "stripe.com", "https://www.linkedin.com/company/airbnb", "b7d92a56-31f8-4c0b-ae43-19c8e5f24b70" ]
Se usa el código ISO 3166-1 alfa-2 (cca2) para filtrar ubicaciones. Consulta los endpoints location en la pestaña Filters para más información.
["US", "SG", "CN"]
Ubicaciones geográficas a excluir de los resultados de ofertas de empleo.
["CN", "US", "RU", "CA"]
Rango de fechas de publicación. El valor máximo es el día actual. Los límites del día siguen la zona horaria de tu espacio de trabajo.
["2025-01-01", "2025-01-10"]
Cargos asociados a las personas que deseas localizar.
Los resultados también incluirán cargos que contengan terminología similar, aunque no coincidan exactamente. Por ejemplo, buscar software engineer puede devolver resultados de personas con el cargo senior software engineer.
["sales manager", "marketing manager"]
Ubicaciones geográficas objetivo para los anuncios.
["TW", "AE", "NO"]
Ubicaciones geográficas a excluir de la segmentación de anuncios.
["IS", "GB", "FR", "IE", "ES"]
Palabras clave utilizadas para buscar dentro del contenido o los títulos de los anuncios.
["asus"]
Rango de fecha de inicio para filtrar anuncios.
["2025-12-25", "2025-12-25"]
Rango de fecha de fin para filtrar anuncios.
["2025-12-25", "2025-12-25"]
Lista de category slugs para buscar categorías de noticias específicas. Para encontrar un slug, llama al endpoint news categories en la pestaña Filters.
["launches"]
Rango de fechas de publicación. El valor máximo es el día actual. Los límites del día siguen la zona horaria de tu espacio de trabajo.
["2025-01-01", "2025-01-10"]
Incluye la etapa established (operadores consolidados sin señales de expansión activas). Por defecto es false.
false
Número máximo de registros a devolver. Limitado por tu plan.
50
Devuelve la carga útil completa con todos los detalles. El tráfico con clave de API es ligero de forma predeterminada: el bloque model, las cifras de confianza (stage.confidence en Company Expansion Detail, confidence_score en other_markets[] y en markers[] de Rankings) y los campos established_min / share_of_detected / has_known_office se omiten todos a menos que esto sea true.
true
Activa la coincidencia de texto libre para verticals, vertical_categories, vertical_sub_categories y technologies; esos filtros se descartan a menos que esto sea true.
true

