curl --request POST \
--url https://api.generect.com/api/v1/search/realtime/leads/count/ \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"job_titles": [
"CEO",
"Founder"
],
"seniorities": [
"c_suite"
],
"locations": [
"United States"
],
"company_industries": [
"Software Development"
],
"company_headcounts": [
"51-200"
],
"limit_by": 50
}
'import requests
url = "https://api.generect.com/api/v1/search/realtime/leads/count/"
payload = {
"job_titles": ["CEO", "Founder"],
"seniorities": ["c_suite"],
"locations": ["United States"],
"company_industries": ["Software Development"],
"company_headcounts": ["51-200"],
"limit_by": 50
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
job_titles: ['CEO', 'Founder'],
seniorities: ['c_suite'],
locations: ['United States'],
company_industries: ['Software Development'],
company_headcounts: ['51-200'],
limit_by: 50
})
};
fetch('https://api.generect.com/api/v1/search/realtime/leads/count/', 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.generect.com/api/v1/search/realtime/leads/count/",
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([
'job_titles' => [
'CEO',
'Founder'
],
'seniorities' => [
'c_suite'
],
'locations' => [
'United States'
],
'company_industries' => [
'Software Development'
],
'company_headcounts' => [
'51-200'
],
'limit_by' => 50
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.generect.com/api/v1/search/realtime/leads/count/"
payload := strings.NewReader("{\n \"job_titles\": [\n \"CEO\",\n \"Founder\"\n ],\n \"seniorities\": [\n \"c_suite\"\n ],\n \"locations\": [\n \"United States\"\n ],\n \"company_industries\": [\n \"Software Development\"\n ],\n \"company_headcounts\": [\n \"51-200\"\n ],\n \"limit_by\": 50\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<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.generect.com/api/v1/search/realtime/leads/count/")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"job_titles\": [\n \"CEO\",\n \"Founder\"\n ],\n \"seniorities\": [\n \"c_suite\"\n ],\n \"locations\": [\n \"United States\"\n ],\n \"company_industries\": [\n \"Software Development\"\n ],\n \"company_headcounts\": [\n \"51-200\"\n ],\n \"limit_by\": 50\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.generect.com/api/v1/search/realtime/leads/count/")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"job_titles\": [\n \"CEO\",\n \"Founder\"\n ],\n \"seniorities\": [\n \"c_suite\"\n ],\n \"locations\": [\n \"United States\"\n ],\n \"company_industries\": [\n \"Software Development\"\n ],\n \"company_headcounts\": [\n \"51-200\"\n ],\n \"limit_by\": 50\n}"
response = http.request(request)
puts response.read_body{
"data": {
"results_count": 1240
},
"meta": {
"amount_charged": 0.04
}
}Count realtime leads
Count fresh leads matching filters. Billed per request.
curl --request POST \
--url https://api.generect.com/api/v1/search/realtime/leads/count/ \
--header 'Authorization: <api-key>' \
--header 'Content-Type: application/json' \
--data '
{
"job_titles": [
"CEO",
"Founder"
],
"seniorities": [
"c_suite"
],
"locations": [
"United States"
],
"company_industries": [
"Software Development"
],
"company_headcounts": [
"51-200"
],
"limit_by": 50
}
'import requests
url = "https://api.generect.com/api/v1/search/realtime/leads/count/"
payload = {
"job_titles": ["CEO", "Founder"],
"seniorities": ["c_suite"],
"locations": ["United States"],
"company_industries": ["Software Development"],
"company_headcounts": ["51-200"],
"limit_by": 50
}
headers = {
"Authorization": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
job_titles: ['CEO', 'Founder'],
seniorities: ['c_suite'],
locations: ['United States'],
company_industries: ['Software Development'],
company_headcounts: ['51-200'],
limit_by: 50
})
};
fetch('https://api.generect.com/api/v1/search/realtime/leads/count/', 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.generect.com/api/v1/search/realtime/leads/count/",
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([
'job_titles' => [
'CEO',
'Founder'
],
'seniorities' => [
'c_suite'
],
'locations' => [
'United States'
],
'company_industries' => [
'Software Development'
],
'company_headcounts' => [
'51-200'
],
'limit_by' => 50
]),
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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.generect.com/api/v1/search/realtime/leads/count/"
payload := strings.NewReader("{\n \"job_titles\": [\n \"CEO\",\n \"Founder\"\n ],\n \"seniorities\": [\n \"c_suite\"\n ],\n \"locations\": [\n \"United States\"\n ],\n \"company_industries\": [\n \"Software Development\"\n ],\n \"company_headcounts\": [\n \"51-200\"\n ],\n \"limit_by\": 50\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<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.generect.com/api/v1/search/realtime/leads/count/")
.header("Authorization", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"job_titles\": [\n \"CEO\",\n \"Founder\"\n ],\n \"seniorities\": [\n \"c_suite\"\n ],\n \"locations\": [\n \"United States\"\n ],\n \"company_industries\": [\n \"Software Development\"\n ],\n \"company_headcounts\": [\n \"51-200\"\n ],\n \"limit_by\": 50\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.generect.com/api/v1/search/realtime/leads/count/")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"job_titles\": [\n \"CEO\",\n \"Founder\"\n ],\n \"seniorities\": [\n \"c_suite\"\n ],\n \"locations\": [\n \"United States\"\n ],\n \"company_industries\": [\n \"Software Development\"\n ],\n \"company_headcounts\": [\n \"51-200\"\n ],\n \"limit_by\": 50\n}"
response = http.request(request)
puts response.read_body{
"data": {
"results_count": 1240
},
"meta": {
"amount_charged": 0.04
}
}Use Case:
Count matching realtime leads before running a fresh lead search.Pricing
This is a billable endpoint — you are charged per count request.Authorizations
Use the required Token prefix. Example: Authorization: Token xxxxxxxxx
Body
Job titles held by the people you want to find. A lead only needs to match one of the titles you provide — adding more expands your search. Results may also include similar titles (e.g. "marketing manager" can return "content marketing manager"). Combine with seniorities to target both function and level. Examples: "sales development representative", "marketing manager", "software engineer".
Job seniority levels at the lead's current employer (current position only, not previous roles). A lead needs to match at least one; adding more values expands your search. Allowed values: owner, founder, c_suite, partner, vp, head, director, manager, senior, entry, intern. Combine with job_titles to narrow targeting.
Geographic locations where leads currently live — matches across cities, states/regions and countries. A lead needs to match at least one. To filter by the employer's HQ location, use company_locations. Examples: "San Francisco, California, United States", "Germany", "London".
Locations to exclude from results.
Headquarters location of the lead's current employer; a lead is included if their company's HQ matches at least one. Filters by where the company is based — distinct from locations, which is where the lead personally lives.
Company locations to exclude.
Industries of the lead's current employer; a lead is included if their company matches at least one. Values follow LinkedIn's industry taxonomy. Examples: "Software Development", "Financial Services", "Information Technology".
Company industries to exclude.
Size of the lead's current employer, as employee-count ranges; a lead is included if their company falls into at least one. Allowed values: "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10 000+".
Company size ranges to exclude.
Company types: "Public Company", "Privately Held", "Non Profit", "Government Agency", "Educational", "Self Employed", "Partnership", "Self Owned".
Target company name (mutually exclusive with company_link and company_id).
LinkedIn company URL (mutually exclusive with company_name and company_id).
LinkedIn company numeric ID (mutually exclusive with company_name and company_link).
Skip leads by full name.
Skip leads by Sales Navigator ID.
Skip leads where these fields are empty. Options: job_started_on, profile_photo, started_at_position, company_website.
Maximum number of leads to return. For filter-only searches (no company_id/company_link/company_name) the maximum is 2400.
Number of leads to skip (for pagination). For filter-only searches the maximum is 2399.
Fields to apply strict matching on (e.g. "company_locations").
Drop leads whose first or last name is a single character or empty. LinkedIn abbreviates surnames for members who restrict their profile, so these rows carry a name that cannot be personalised. Applies to both database and realtime search.
List of persona tuples. Each persona: [name, functions, seniorities, prohibits, priority?].
Exact first names to match; a lead is included if their first name matches at least one.
Exact last names to match; a lead is included if their last name matches at least one.
Industries of the lead themselves (their own profile industry), as opposed to company_industries, which filters by the employer's industry.
Lead industries to exclude.
Titles the lead held in a previous role; a lead is included if their history matches at least one.
Job functions to exclude — same value set as functions.
LinkedIn company IDs the lead previously worked at; ID-based counterpart of past_company_names.
Skip leads who previously worked at these LinkedIn company IDs.
Skip leads currently working at these LinkedIn company IDs.
Resolve LinkedIn groups by name instead of by numeric ID — each keyword is matched against group names and the matches are added to groups.
Total years of work experience: 1 = under 1y, 2 = 1-2y, 3 = 3-5y, 4 = 6-10y, 5 = 10y+.
Connection-count range applied to the lead's profile. Leads outside the range are dropped from the results.
Show child attributes
Show child attributes
{ "min": 500 }
Filter for leads recently mentioned in the news.
Free-text keywords searched across lead profiles (headline, current job description, skills, summary); a lead is included if their profile contains at least one. Realtime mode only — database mode does not support free-text search. Examples: "machine learning", "growth marketing", "kubernetes".
Job functions — categorize roles by business area, independent of seniority or title; a lead is included if their function matches at least one. Common values: Sales, Marketing, Engineering, Operations, Finance, HR, Product, Customer Success, Legal, Data. Combine with seniorities for function-by-seniority targeting.
Filter by companies where the lead previously worked; a lead is included if their work history contains at least one. Useful for alumni outreach (e.g. ex-Google engineers) or targeting people who left a competitor. Examples: "Google", "Meta", "Stripe".
School IDs to filter by.
LinkedIn group IDs to filter by.
Time in current position: 1 = under 1y, 2 = 1-2y, 3 = 3-5y, 4 = 6-10y, 5 = 10y+.
Time at current company: 1 = under 1y, 2 = 1-2y, 3 = 3-5y, 4 = 6-10y, 5 = 10y+.
Filter for leads who recently changed jobs.
Filter for leads who recently posted on LinkedIn.
Pre-built LinkedIn or Sales Navigator search URL to extract filters from.
Return the complete lead profile instead of the standard field set — roughly thirty extra fields, including skills, industry and social links. Priced as one lead enrichment per returned lead, charged on top of the search itself, so a request that returns N leads is billed twice: once for the search and once for the profiles. Each returned lead carries is_full_data so you can confirm what you received.
Find the people behind these known addresses, up to 500 per request. Every address must share one domain: that domain is used as the company anchor, so the request resolves to leads at that company and cannot be combined with an unanchored search. Realtime only.
Include results_count in the response; without it the response carries only the page itself. The figure is an estimate, not an exact total. For a search anchored to one company it may come back as the string "within limit" rather than a number, meaning the whole match set fits inside the page you asked for — handle both types. A filter-only search reports results_count anyway, without this flag.
Hard ceiling on how many profiles the search opens while assembling results. Bounds the time and cost of a broad query; a limit_by above this value is lowered to it. Unset means no ceiling.
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