Similar Contacts

The Similar Contacts API lets you fetch lookalike contacts using the same parameters as the Enrichment API.

To get more detail about the API parameters, response types and sample calls, click the arrow to the right on the card below.

Get similar contacts

GET https://api.exactbuyer.com/v1/similar-contacts

This endpoint allows you to find similar contacts for a given social profile/email/phone.

Query Parameters

Name	Type	Description
first_name	string	The first name of the person to look up.
last_name	string	The last name of the person to look up.
company_name	string	The name of a company where the person works at.
company_domain	string	The website of a company where the person works at.
phone	string	The phone number to look up.
email	string	The email address to look up.
social_profile	string	The social profile to lookup e.g. linkedin profile URL
size	Int	Number of similar companies in the output. Maximum: 10 Default: 10

Name

Type

Description

first_name

string

The first name of the person to look up.

last_name

string

The last name of the person to look up.

company_name

string

The name of a company where the person works at.

company_domain

string

The website of a company where the person works at.

phone

string

The phone number to look up.

string

The email address to look up.

social_profile

string

The social profile to lookup e.g. linkedin profile URL

size

Int

Number of similar companies in the output. Maximum: 10 Default: 10

Headers

Name	Type	Description
X-API-Key	string	Your API key

Name

Type

Description

X-API-Key

string

Your API key

[
    {
        "job_title": "Founder and Lead Consultant",
        "linkedin": [
            "linkedin.com/in/cynthia-ruff"
        ],
        "location": "atlanta, georgia, united states",
        "name": "Cynthia Ruff",
        "similarity_score": 1.74
    },
    {
        "job_title": "Chief Evangelist Officer",
        "linkedin": [
            "linkedin.com/in/thomasmschwab",
            "linkedin.com/in/tom-schwab-a2944310"
        ],
        "location": "kalamazoo, michigan, united states",
        "name": "Thomas Schwab",
        "similarity_score": 1.63
    },
    {
        "job_title": "Co-Founder & CTO",
        "linkedin": [
            "linkedin.com/in/hassan-chahrour-4b49b817"
        ],
        "location": "New York, United States of America",
        "name": "Hassan Chahrour",
        "similarity_score": 1.62
    },
    {
        "job_title": "Co-Founder & CTO",
        "linkedin": [
            "linkedin.com/in/hassanchr"
        ],
        "location": "New York, United States of America",
        "name": "Hassan Chahrour",
        "similarity_score": 1.62
    },
    {
        "job_title": "Co-Founder & CEO",
        "linkedin": [
            "linkedin.com/in/markeld",
            "linkedin.com/in/markellos-diorinos-aa6aa9"
        ],
        "location": "Athens Metropolitan Area, Greece",
        "name": "Markellos Diorinos",
        "similarity_score": 1.61
    },
    {
        "job_title": "Co-Founder & CMO",
        "linkedin": [
            "linkedin.com/in/jakubzajicek"
        ],
        "location": "Czechia, Czech Republic",
        "name": "Jakub Zajicek",
        "similarity_score": 1.52
    },
    {
        "job_title": "Co-Founder & CPO",
        "linkedin": [
            "linkedin.com/in/jasondebacco",
            "linkedin.com/in/jason-debacco-983b885"
        ],
        "location": "Caldwell, United States of America",
        "name": "Jason Debacco",
        "similarity_score": 1.51
    },
    {
        "job_title": "Founder",
        "linkedin": [
            "linkedin.com/in/frankovidal"
        ],
        "location": "canada",
        "name": "Franko Vidal",
        "similarity_score": 1.48
    },
    {
        "job_title": "Co-Founder and CEO",
        "linkedin": [
            "linkedin.com/in/katebradley",
            "linkedin.com/in/kate-bradley-chernis-2b0b8a3"
        ],
        "location": "New York City Metropolitan Area, United States of America",
        "name": "Kate Chernis",
        "similarity_score": 1.48
    },
    {
        "job_title": "Board Member",
        "linkedin": [
            "linkedin.com/in/alexharrisjdmba"
        ],
        "location": "San Francisco, United States of America",
        "name": "Alex Harris",
        "similarity_score": 0.53
    }
]

{
    "errorText": "No contact found for edan123@exactbuyer.com"
}

API Response

Similar Contacts

[
    {
        "job_title": "Founder and Lead Consultant",
        "linkedin": [
            "linkedin.com/in/cynthia-ruff"
        ],
        "location": "atlanta, georgia, united states",
        "name": "Cynthia Ruff",
        "similarity_score": 1.74
    },
    {
        "job_title": "Chief Evangelist Officer",
        "linkedin": [
            "linkedin.com/in/thomasmschwab",
            "linkedin.com/in/tom-schwab-a2944310"
        ],
        "location": "kalamazoo, michigan, united states",
        "name": "Thomas Schwab",
        "similarity_score": 1.63
    },
    {
        "job_title": "Co-Founder & CTO",
        "linkedin": [
            "linkedin.com/in/hassan-chahrour-4b49b817"
        ],
        "location": "New York, United States of America",
        "name": "Hassan Chahrour",
        "similarity_score": 1.62
    },
    {
        "job_title": "Co-Founder & CTO",
        "linkedin": [
            "linkedin.com/in/hassanchr"
        ],
        "location": "New York, United States of America",
        "name": "Hassan Chahrour",
        "similarity_score": 1.62
    },
    {
        "job_title": "Co-Founder & CEO",
        "linkedin": [
            "linkedin.com/in/markeld",
            "linkedin.com/in/markellos-diorinos-aa6aa9"
        ],
        "location": "Athens Metropolitan Area, Greece",
        "name": "Markellos Diorinos",
        "similarity_score": 1.61
    },
    {
        "job_title": "Co-Founder & CMO",
        "linkedin": [
            "linkedin.com/in/jakubzajicek"
        ],
        "location": "Czechia, Czech Republic",
        "name": "Jakub Zajicek",
        "similarity_score": 1.52
    },
    {
        "job_title": "Co-Founder & CPO",
        "linkedin": [
            "linkedin.com/in/jasondebacco",
            "linkedin.com/in/jason-debacco-983b885"
        ],
        "location": "Caldwell, United States of America",
        "name": "Jason Debacco",
        "similarity_score": 1.51
    },
    {
        "job_title": "Founder",
        "linkedin": [
            "linkedin.com/in/frankovidal"
        ],
        "location": "canada",
        "name": "Franko Vidal",
        "similarity_score": 1.48
    },
    {
        "job_title": "Co-Founder and CEO",
        "linkedin": [
            "linkedin.com/in/katebradley",
            "linkedin.com/in/kate-bradley-chernis-2b0b8a3"
        ],
        "location": "New York City Metropolitan Area, United States of America",
        "name": "Kate Chernis",
        "similarity_score": 1.48
    },
    {
        "job_title": "Board Member",
        "linkedin": [
            "linkedin.com/in/alexharrisjdmba"
        ],
        "location": "San Francisco, United States of America",
        "name": "Alex Harris",
        "similarity_score": 0.53
    }
]

Minimum Inputs

The minimum combination of inputs that must be present in a request to return valid similar contacts is mentioned below:

email OR social_profile OR phone OR (
    first_name AND last_name AND (company_domain OR company_name))

Examples

Get similar contacts via LinkedIn profile

import requests

url = "https://api.exactbuyer.com/v1/similar-contacts"

headers = {
  'X-API-Key': 'YOUR_API_KEY'
}

params = {
    'social_profile': 'https://www.linkedin.com/in/edankrolewicz/',
}

response = requests.get(
  url,
  headers=headers,
  params=params)

print(response.text)

curl --location --request GET 'https://api.exactbuyer.com/v1/similar-contacts?social_profile=https://www.linkedin.com/in/edankrolewicz/' \
--header 'X-API-Key: YOUR_API_KEY'

const myHeaders = new Headers();
myHeaders.append("X-API-Key", "YOUR_API_KEY");


const requestOptions = {
  method: 'GET',
  headers: myHeaders,
  redirect: 'follow'
};

fetch("https://api.exactbuyer.com/v1/similar-contacts?social_profile=https://www.linkedin.com/in/edankrolewicz/", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

Get similar contacts via first name, last name & company domain.

import requests

url = "https://api.exactbuyer.com/v1/similar-contacts"

headers = {
  'X-API-Key': 'YOUR_API_KEY'
}

params = {
    'first_name': 'edan',
    'last_name': 'krolewicz',
    'company_domain': 'exactbuyer.com',
    'required': 'work_email, personal_email'
}

response = requests.get(
  url,
  headers=headers,
  params=params)

print(response.text)

curl --location --request GET 'https://api.exactbuyer.com/v1/similar-contacts?last_name=krolewicz&first_name=edan&company_domain=exactbuyer.com' \
--header 'X-API-Key: YOUR_API_KEY'

const myHeaders = new Headers();
myHeaders.append("X-API-Key", "YOUR_API_KEY");


const requestOptions = {
  method: 'GET',
  headers: myHeaders,
  redirect: 'follow'
};

fetch("https://api.exactbuyer.com/v1/similar-contacts?last_name=krolewicz&first_name=edan&company_domain=exactbuyer.com", requestOptions)  
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

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Last updated 1 year ago