Contact Search
The Prospector Endpoint enables bulk retrieval of contacts that match user-defined filters.
To get more detail about the API parameters, response types and sample calls, click the arrow to the right on the card below.
Contact Search
POST https://api.exactbuyer.com/v1/prospector
This endpoint lets you find contacts based on certain filters like job title, seniority, location, skills and interests.
Headers
X-API-key*
string
Your API Key
Request Body
page_size
integer
The amount of records to return per page (default is 5, maximum is 500).
from_page
integer
The results page to show (default is 1).
industries [ ]
array
List of industries (strings) that match a pre-defined list of industries (see the list below).
company_sizes [ ]
array
List of company sizes (strings) that match a pre-defined list of company sizes.
company_name [ ]
array
List of user-specified company names (strings) to filter on.
countries [ ]
array
List of countries (strings) that specify a company's country location, from a pre-defined set of filters.
states [ ]
array
List of states (strings) that specify a company's state.
cities [ ]
array
List of cities (strings) that specify a company's city.
personal_countries [ ]
array
List of countries (strings) that specify an individual's country location, from a pre-defined set of countries.
domains
string
String containing 1 or more domains (separated by newline characters). Example: "exactbuyer.com\ngoogle.com".
social_profile_urls
string
String containing 1 or more social_profile_urls separated by newline characters. Example: "linkedin.com /in/edankrolewicz\nlinkedin .com/in/williamhgates"
roles
array
List of roles (strings) that specify an individual's role in a company.
job_titles [ ]
array
List of job titles (strings) to filter individuals on. Example: "Programmer".
job_description [ ]
array
List of job descriptions (strings) to filter individuals on. Example: "Writing backend code in Python".
seniorities [ ]
array
List of seniorities (strings) that match a pre-defined set of seniorities to filter individuals on.
skills [ ]
array
List of skills (strings) to filter individuals on.
interests [ ]
array
List of interests (strings) to filter individuals on.
summaries [ ]
array
List of summaries (strings) to filter individuals on.
certifications [ ]
array
List of certifications (strings) to filter individuals on.
languages [ ]
array
List of languages (strings) from a pre-defined set of languages to filter individuals on.
schools [ ]
array
List of schools/universities (strings) to filter individuals on.
work_email
boolean
True or False indicating whether work emails are required for all retrieved contacts.
personal_email
boolean
True or False indicating whether personal emails are required for all retrieved contacts.
phone
boolean
True or False indicating whether phone numbers are required for all retrieved contacts.
exclude_domains
string
String containing 1 or more domains (separated by newline characters) that should be excluded from the results. Example: "facebook.com\napple.com".
exclude_job_titles [ ]
array
List of job titles (strings) to exclude. Example: "Architect".
boolean
True or False indicating whether an email is required for all retrieved contacts.
departments [ ]
array
List of departments (strings) that match a pre-defined set of departments to filter individuals on.
personal_name [ ]
array
Names of individuals to search for
previous_job_titles [ ]
array
Previous job titles of an individual
previous_company_name [ ]
array
Name of previous companies that an individual have worked in
personal_states [ ]
array
List of states (strings) that specify an individual's state
personal_cities [ ]
array
List of cities (strings) that specify an individual's city
contact_keywords [ ]
array
Keywords to filter individuals on a certain aspect of their persona
exclude_contact_keywords [ ]
array
Keywords to exclude individuals with an aspect in their persona
founded_year_from
string
Filter out companies founded before the given year
founded_year_to
string
Filter out companies founded after the given year
company_social_profile_urls
string
String containing 1 or more company_social_profile_urls separated by newline characters. Example: "https://www.linkedin.com/company/exactbuyer\nhttps://www.linkedin.com/company/gorgias"
keywords [ ]
array
Keywords to filter companies on a certain aspect of their persona
exclude_keywords [ ]
array
Keywords to exclude individuals with a aspect in their persona
company_revenues [ ]
array
List of revenues (strings) that specify a company's estimated annual revenue from a pre-defined set of filters.
last_funding_round_type [ ]
array
List of funding rounds (strings) that specify a company's last funding round from a pre-defined set of filters.
lead_investor_names [ ]
array
List of names of Lead Investors
company_type [ ]
array
List of company types (strings) that specify a company's type from a pre-defined set of filters.
instagram_popularity_min
number
Exclude out all companies below the given Instagram popularity score. 1-100
instagram_popularity_max
number
Exclude out all companies above the given Instagram popularity score. 1-100
instagram_avg_likes_min
number
Exclude out all companies below the given Instagram average likes per post
instagram_avg_likes_max
number
Exclude out all companies above the given Instagram average likes per post
instagram_avg_comments_min
number
Exclude out all companies below the given Instagram average comments per post
instagram_avg_comments_max
number
Exclude out all companies above the given Instagram average comments per post
min_total_funding_amount
number
Exclude out all companies that have raise funding below the given funding amount
max_total_funding_amount
number
Exclude out all companies that have raise funding above the given funding amount
last_funding_round_to
number
Exclude out all companies that have raise funding after a given date
last_funding_round_from
number
Exclude out all companies that have raise funding before a given date
eb_score_min
number
Exclude out all companies below the given ExactBuyer Score. 1-100
eb_score_max
number
Exclude out all companies below the given ExactBuyer Score. 1-100
technology_score_min
number
Exclude out all companies below the given Technology Score. 1-100
technology_score_max
number
Exclude out all companies above the given Technology Score. 1-100
social_score_min
number
Exclude out all companies below the given Social Score. 1-100
social_score_max
number
Exclude out all companies above the given Social Score. 1-100
success_score_min
number
Exclude out all companies below the given Success Score. 1-100
success_score_max
number
Exclude out all companies above the given Success Score. 1-100
boolean_search
string
Perform boolean queries with OR, AND, and NOT operators. Example: (NOT C++ AND (Java OR Python)) AND Software Engineer
company_boolean_search
string
Perform boolean queries on companies with OR, AND, and NOT operators. Example: (NOT B2C AND (B2B OR Enterprise))
business_models [ ]
array
Get companies having specific business models.
Allowed values:
saas, b2b, b2c, b2g, p2p, agency, marketplace, ecommerce, startup
exclude_business_models [ ]
array
Exclude companies having specific business models.
Allowed values:
saas, b2b, b2c, b2g, p2p, agency, marketplace, ecommerce, startup
gender
string
Filter by gender: male, female
exclude_industries [ ]
array
Exclude list of industries (strings) that match a pre-defined list of industries (see the list below).
country_regions [ ]
String
List of regions (strings) that specify a company's region, from a pre-defined set of regions.
personal_regions [ ]
array
List of countries (strings) that specify an individual's region, from a pre-defined set of regions.
exclude_personal_countries [ ]
array
Exclude list of countries (strings) that specify an individual's country location, from a pre-defined set of countries.
exclude_personal_regions [ ]
array
Exclude ist of countries (strings) that specify an individual's region, from a pre-defined set of regions.
exclude_personal_states [ ]
array
Exclude list of states (strings) that specify an individual's state
exclude_personal_cities [ ]
array
Exclude list of cities (strings) that specify an individual's city
exclude_countries [ ]
array
Exclude ist of countries (strings) that specify a company's country location, from a pre-defined set of filters.
exclude_country_regions [ ]
String
Exclude list of regions (strings) that specify a company's region, from a pre-defined set of regions.
exclude_states [ ]
String
Exclude list of states (strings) that specify a company's state.
exclude_cities [ ]
String
Exclude list of cities (strings) that specify a company's city.
technologies
array
List of strings that specify the technologies a company uses.
exclude_technologies
array
Exclude the companies that use specific technologies.
technologies_operator
string
Get companies that use any technology specified in the technologies field or use all the technologies. Acts as a boolean operator.
Possible values: AND, OR
{
"credits_deducted": 4,
"page": 1,
"page_size": 10,
"records_returned": 4,
"results": [
{
"accomplishment_courses": [
{
"name": "Artificial Intelligence",
"number": "6.034"
},
{
"name": "Computational Structures",
"number": "6.004"
},
{
"name": "Design and Analysis of Algorithms",
"number": "6.046"
},
{
"name": "Software Construction",
"number": "6.005"
}
],
"accomplishment_honors_awards": [
{
"description": "Over the weekend our team Elevate (now BeatBat Music) created a promotions platform for musicians to publish their events to local news publication calendars. This became a full time project.",
"issued_on": {
"day": 1,
"month": 3,
"year": 2016
},
"issuer": "Start Up Weekend Seattle",
"title": "Winner of Start-Up Weekend Seattle"
}
],
"accomplishment_organisations": [],
"accomplishment_patents": [],
...
}
,
{ ...
"current_work_email": "[email protected]",
"education": [
{
"degrees": [
"bachelors",
"bachelor of science"
],
"end_date": "2012",
"gpa": null,
"locations": [],
"majors": [
"computer science",
"management",
"management science"
],
"minors": [],
"school": {
"location": "cambridge, massachusetts, united states",
"name": "massachusetts institute of technology",
"profiles": [
"linkedin.com/edu/massachusetts-institute-of-technology-18494"
],
"type": "post-secondary institution",
"website": "mit.edu"
},
"start_date": "2008"
}
],
"total_records_found": 4
}Pre-Defined Filters
Some fields must contain strings that adhere to the pre-defined categories listed below.
Credits Deduction:
The credits deducted are the minimum of the number of records found and the current page size. If there are 30 records found and the page size is 50, then 30 credits will be deducted. Vice versa, if the records are 60 and the page size is 50, then 50 credits will be deducted because the API only returned 50 contacts. The next 10 contacts will be in the next page and the credits for those will only be deducted if you send the API call for the next page to fetch those contacts.
Examples
import requests
import json
url = "https://api.exactbuyer.com/v1/prospector"
payload = json.dumps({
"from_page": 1,
"page_size": 10,
"personal_countries": ["united states"],
"job_titles": ["founder"],
"personal_email": True
})
headers = {
'X-API-Key': 'YOUR_API_KEY',
'Content-Type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)Last updated
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