Buscar empresas afines
curl --request POST \
--url https://api.pubrio.com/companies/lookalikes/search \
--header 'Content-Type: application/json' \
--header 'pubrio-api-key: <api-key>' \
--data '
{
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": [
"US",
"SG",
"CN"
],
"exclude_locations": [
"CN",
"US",
"RU",
"CA"
],
"technologies": [
123
],
"categories": [
123
],
"verticals": [
123
],
"vertical_categories": [
123
],
"vertical_sub_categories": [
123
],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [
[
1,
10
],
[
11,
20
],
[
10001
]
],
"founded_dates": [
2018,
2024
],
"revenues": [
0,
100000
],
"job_locations": [
"US",
"SG",
"CN"
],
"job_posted_dates": [
"2025-01-01",
"2025-01-10"
],
"job_titles": [
"sales manager",
"marketing manager"
],
"news_categories": [
"launches"
],
"news_published_dates": [
"2025-01-01",
"2025-01-10"
],
"is_enable_similarity_search": true,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
'import requests
url = "https://api.pubrio.com/companies/lookalikes/search"
payload = {
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": ["US", "SG", "CN"],
"exclude_locations": ["CN", "US", "RU", "CA"],
"technologies": [123],
"categories": [123],
"verticals": [123],
"vertical_categories": [123],
"vertical_sub_categories": [123],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [[1, 10], [11, 20], [10001]],
"founded_dates": [2018, 2024],
"revenues": [0, 100000],
"job_locations": ["US", "SG", "CN"],
"job_posted_dates": ["2025-01-01", "2025-01-10"],
"job_titles": ["sales manager", "marketing manager"],
"news_categories": ["launches"],
"news_published_dates": ["2025-01-01", "2025-01-10"],
"is_enable_similarity_search": True,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
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({
domain_search_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
locations: ['US', 'SG', 'CN'],
exclude_locations: ['CN', 'US', 'RU', 'CA'],
technologies: [123],
categories: [123],
verticals: [123],
vertical_categories: [123],
vertical_sub_categories: [123],
domain: 'pubrio.com',
linkedin_url: 'https://www.linkedin.com/company/pubrio',
employees: [[1, 10], [11, 20], [10001]],
founded_dates: [2018, 2024],
revenues: [0, 100000],
job_locations: ['US', 'SG', 'CN'],
job_posted_dates: ['2025-01-01', '2025-01-10'],
job_titles: ['sales manager', 'marketing manager'],
news_categories: ['launches'],
news_published_dates: ['2025-01-01', '2025-01-10'],
is_enable_similarity_search: true,
similarity_score: 0.7,
per_page: 25,
page: 1
})
};
fetch('https://api.pubrio.com/companies/lookalikes/search', 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/companies/lookalikes/search",
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([
'domain_search_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'locations' => [
'US',
'SG',
'CN'
],
'exclude_locations' => [
'CN',
'US',
'RU',
'CA'
],
'technologies' => [
123
],
'categories' => [
123
],
'verticals' => [
123
],
'vertical_categories' => [
123
],
'vertical_sub_categories' => [
123
],
'domain' => 'pubrio.com',
'linkedin_url' => 'https://www.linkedin.com/company/pubrio',
'employees' => [
[
1,
10
],
[
11,
20
],
[
10001
]
],
'founded_dates' => [
2018,
2024
],
'revenues' => [
0,
100000
],
'job_locations' => [
'US',
'SG',
'CN'
],
'job_posted_dates' => [
'2025-01-01',
'2025-01-10'
],
'job_titles' => [
'sales manager',
'marketing manager'
],
'news_categories' => [
'launches'
],
'news_published_dates' => [
'2025-01-01',
'2025-01-10'
],
'is_enable_similarity_search' => true,
'similarity_score' => 0.7,
'per_page' => 25,
'page' => 1
]),
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/companies/lookalikes/search"
payload := strings.NewReader("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\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 \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\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/companies/lookalikes/search")
.header("pubrio-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\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 \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pubrio.com/companies/lookalikes/search")
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 \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\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 \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}"
response = http.request(request)
puts response.read_body{
"data": {
"pagination": {
"page": 1,
"per_page": 25,
"total_entries": 45234700,
"total_pages": 1809388
},
"companies": [
{
"logo_url": "https://buckets.pubrio.com/company-logo/MjI0NDc1OTMxaWxqOXNzbmoxdHdpdHRlci5jb20=.jpg",
"company_name": "Twitter",
"emails": [
"..."
],
"phones": [
"..."
],
"contacts": [
"..."
],
"founded_year": 2006,
"specialties": [
"Software Development"
],
"industry": "Software Development",
"domain": "twitter.com",
"domain_search_id": "61a73da7-2efc-41a5-a252-a8a8df29925a",
"domain_id": 224475931,
"linkedin_company_id": 44005587,
"linkedin_name": "twitter",
"is_company_url_active": true,
"domain_ids": [
224475931,
1758889566,
368242865
],
"company_keywords": [
"realtime information",
"social commerce",
"online shopping",
"classifieds",
"craigslist killers",
"e-commerce",
"killers",
"consumer internet",
"internet",
"information technology",
"edp services",
"technology",
"software development",
"microblogging",
"social networking",
"public conversation",
"user engagement",
"content sharing",
"advertising solutions",
"monetization",
"community building",
"digital wallet",
"ai integration",
"user safety"
],
"company_size": 1500,
"youtube_url": null,
"crunchbase_url": null,
"linkedin_url": "http://www.linkedin.com/company/twitter",
"instagram_url": null,
"facebook_url": "http://facebook.com/twitterinc",
"twitter_url": "https://twitter.com/x",
"github_url": null,
"x_url": null,
"location": "United States",
"company_ranking": null,
"company_url": "http://twitter.com",
"saved_lists": null,
"company_size_printed": "1,500"
},
"..."
]
}
}{
"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."
}Afines
Búsqueda de empresas afines
deprecated
Obsoleto. Usa POST /companies/search/similar en su lugar — mismos datos, mismo cuerpo.
Encuentra empresas similares a una empresa objetivo específica según atributos firmográficos y tecnográficos.
POST
/
companies
/
lookalikes
/
search
Buscar empresas afines
curl --request POST \
--url https://api.pubrio.com/companies/lookalikes/search \
--header 'Content-Type: application/json' \
--header 'pubrio-api-key: <api-key>' \
--data '
{
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": [
"US",
"SG",
"CN"
],
"exclude_locations": [
"CN",
"US",
"RU",
"CA"
],
"technologies": [
123
],
"categories": [
123
],
"verticals": [
123
],
"vertical_categories": [
123
],
"vertical_sub_categories": [
123
],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [
[
1,
10
],
[
11,
20
],
[
10001
]
],
"founded_dates": [
2018,
2024
],
"revenues": [
0,
100000
],
"job_locations": [
"US",
"SG",
"CN"
],
"job_posted_dates": [
"2025-01-01",
"2025-01-10"
],
"job_titles": [
"sales manager",
"marketing manager"
],
"news_categories": [
"launches"
],
"news_published_dates": [
"2025-01-01",
"2025-01-10"
],
"is_enable_similarity_search": true,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
'import requests
url = "https://api.pubrio.com/companies/lookalikes/search"
payload = {
"domain_search_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
"locations": ["US", "SG", "CN"],
"exclude_locations": ["CN", "US", "RU", "CA"],
"technologies": [123],
"categories": [123],
"verticals": [123],
"vertical_categories": [123],
"vertical_sub_categories": [123],
"domain": "pubrio.com",
"linkedin_url": "https://www.linkedin.com/company/pubrio",
"employees": [[1, 10], [11, 20], [10001]],
"founded_dates": [2018, 2024],
"revenues": [0, 100000],
"job_locations": ["US", "SG", "CN"],
"job_posted_dates": ["2025-01-01", "2025-01-10"],
"job_titles": ["sales manager", "marketing manager"],
"news_categories": ["launches"],
"news_published_dates": ["2025-01-01", "2025-01-10"],
"is_enable_similarity_search": True,
"similarity_score": 0.7,
"per_page": 25,
"page": 1
}
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({
domain_search_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
locations: ['US', 'SG', 'CN'],
exclude_locations: ['CN', 'US', 'RU', 'CA'],
technologies: [123],
categories: [123],
verticals: [123],
vertical_categories: [123],
vertical_sub_categories: [123],
domain: 'pubrio.com',
linkedin_url: 'https://www.linkedin.com/company/pubrio',
employees: [[1, 10], [11, 20], [10001]],
founded_dates: [2018, 2024],
revenues: [0, 100000],
job_locations: ['US', 'SG', 'CN'],
job_posted_dates: ['2025-01-01', '2025-01-10'],
job_titles: ['sales manager', 'marketing manager'],
news_categories: ['launches'],
news_published_dates: ['2025-01-01', '2025-01-10'],
is_enable_similarity_search: true,
similarity_score: 0.7,
per_page: 25,
page: 1
})
};
fetch('https://api.pubrio.com/companies/lookalikes/search', 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/companies/lookalikes/search",
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([
'domain_search_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
'locations' => [
'US',
'SG',
'CN'
],
'exclude_locations' => [
'CN',
'US',
'RU',
'CA'
],
'technologies' => [
123
],
'categories' => [
123
],
'verticals' => [
123
],
'vertical_categories' => [
123
],
'vertical_sub_categories' => [
123
],
'domain' => 'pubrio.com',
'linkedin_url' => 'https://www.linkedin.com/company/pubrio',
'employees' => [
[
1,
10
],
[
11,
20
],
[
10001
]
],
'founded_dates' => [
2018,
2024
],
'revenues' => [
0,
100000
],
'job_locations' => [
'US',
'SG',
'CN'
],
'job_posted_dates' => [
'2025-01-01',
'2025-01-10'
],
'job_titles' => [
'sales manager',
'marketing manager'
],
'news_categories' => [
'launches'
],
'news_published_dates' => [
'2025-01-01',
'2025-01-10'
],
'is_enable_similarity_search' => true,
'similarity_score' => 0.7,
'per_page' => 25,
'page' => 1
]),
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/companies/lookalikes/search"
payload := strings.NewReader("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\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 \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\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/companies/lookalikes/search")
.header("pubrio-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\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 \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.pubrio.com/companies/lookalikes/search")
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 \"domain_search_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n \"locations\": [\n \"US\",\n \"SG\",\n \"CN\"\n ],\n \"exclude_locations\": [\n \"CN\",\n \"US\",\n \"RU\",\n \"CA\"\n ],\n \"technologies\": [\n 123\n ],\n \"categories\": [\n 123\n ],\n \"verticals\": [\n 123\n ],\n \"vertical_categories\": [\n 123\n ],\n \"vertical_sub_categories\": [\n 123\n ],\n \"domain\": \"pubrio.com\",\n \"linkedin_url\": \"https://www.linkedin.com/company/pubrio\",\n \"employees\": [\n [\n 1,\n 10\n ],\n [\n 11,\n 20\n ],\n [\n 10001\n ]\n ],\n \"founded_dates\": [\n 2018,\n 2024\n ],\n \"revenues\": [\n 0,\n 100000\n ],\n \"job_locations\": [\n \"US\",\n \"SG\",\n \"CN\"\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 \"news_categories\": [\n \"launches\"\n ],\n \"news_published_dates\": [\n \"2025-01-01\",\n \"2025-01-10\"\n ],\n \"is_enable_similarity_search\": true,\n \"similarity_score\": 0.7,\n \"per_page\": 25,\n \"page\": 1\n}"
response = http.request(request)
puts response.read_body{
"data": {
"pagination": {
"page": 1,
"per_page": 25,
"total_entries": 45234700,
"total_pages": 1809388
},
"companies": [
{
"logo_url": "https://buckets.pubrio.com/company-logo/MjI0NDc1OTMxaWxqOXNzbmoxdHdpdHRlci5jb20=.jpg",
"company_name": "Twitter",
"emails": [
"..."
],
"phones": [
"..."
],
"contacts": [
"..."
],
"founded_year": 2006,
"specialties": [
"Software Development"
],
"industry": "Software Development",
"domain": "twitter.com",
"domain_search_id": "61a73da7-2efc-41a5-a252-a8a8df29925a",
"domain_id": 224475931,
"linkedin_company_id": 44005587,
"linkedin_name": "twitter",
"is_company_url_active": true,
"domain_ids": [
224475931,
1758889566,
368242865
],
"company_keywords": [
"realtime information",
"social commerce",
"online shopping",
"classifieds",
"craigslist killers",
"e-commerce",
"killers",
"consumer internet",
"internet",
"information technology",
"edp services",
"technology",
"software development",
"microblogging",
"social networking",
"public conversation",
"user engagement",
"content sharing",
"advertising solutions",
"monetization",
"community building",
"digital wallet",
"ai integration",
"user safety"
],
"company_size": 1500,
"youtube_url": null,
"crunchbase_url": null,
"linkedin_url": "http://www.linkedin.com/company/twitter",
"instagram_url": null,
"facebook_url": "http://facebook.com/twitterinc",
"twitter_url": "https://twitter.com/x",
"github_url": null,
"x_url": null,
"location": "United States",
"company_ranking": null,
"company_url": "http://twitter.com",
"saved_lists": null,
"company_size_printed": "1,500"
},
"..."
]
}
}{
"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
application/json
- ID de búsqueda de dominio
- Dominio
- URL de LinkedIn
Identificador único para la operación de búsqueda de empresas.
Se usa el código ISO 3166-1 alfa-2 (cca2) para filtrar ubicaciones. Consulta los endpoints location en la pestaña Filters para más información.
Ejemplo:
["US", "SG", "CN"]
Se usa el código ISO 3166-1 alfa-2 (cca2) para excluir ubicaciones que no deben devolverse. Consulta los endpoints location en la pestaña Filters para más información.
Ejemplo:
["CN", "US", "RU", "CA"]
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"].
Una lista de category_id utilizada para buscar categorías específicas de tecnología usadas por las empresas. Para encontrar el ID, llama al endpoint category en la pestaña Filters.
Este filtro admite is_enable_similarity_search; una vez habilitado, puedes introducir texto libre, por ejemplo ["CDN"].
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"].
Un dominio de empresa utilizado para operaciones de búsqueda de empresas. Si recibimos una URL como www.pubrio.com o https://docs.pubrio.com/, el sistema la convertirá a pubrio.com para su procesamiento.
Ejemplo:
"pubrio.com"
La URL completa del perfil de LinkedIn de la empresa. La URL debe empezar por http y contener linkedin.com/company/
Ejemplo:
"https://www.linkedin.com/company/pubrio"
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.
Ejemplo:
[[1, 10], [11, 20], [10001]]
Rango de años de fundación de la empresa. El valor máximo de fundación es el año en curso.
Ejemplo:
[2018, 2024]
Rango mínimo y máximo de ingresos de la empresa.
Ejemplo:
[0, 100000]
Se usa el código ISO 3166-1 alfa-2 (cca2) para filtrar ubicaciones. Consulta los endpoints location en la pestaña Filters para más información.
Ejemplo:
["US", "SG", "CN"]
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.
Ejemplo:
["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.
Ejemplo:
["sales manager", "marketing manager"]
Lista de category slugs para buscar categorías de noticias específicas. Para encontrar un slug, llama al endpoint news categories en la pestaña Filters.
Ejemplo:
["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.
Ejemplo:
["2025-01-01", "2025-01-10"]
Cuando está habilitado, los filtros indicados anteriormente que admiten búsquedas por similitud pueden completarse con texto libre en lugar de IDs específicos.
Se usa junto con is_enable_similarity_search. Este número se utiliza para analizar si un slug específico (por ejemplo, vertical de industria, tecnología) es similar a la entrada del usuario, y cuanto mayor es el número, más estricto es.
Ejemplo:
0.7
Registros por página. Por defecto es 25, que también es el límite en la mayoría de los planes — el límite es el max_search_per_page de tu suscripción, devuelto por Perfil. Superarlo devuelve HTTP 416 con el código 41676 (o 41613 en la búsqueda de empresas y personas), no un conjunto de resultados recortado.
Rango requerido:
x <= 25Ejemplo:
25
Respuesta
Respuesta exitosa que contiene los detalles de la búsqueda de empresas.
Última modificación el 4 de septiembre de 2026