LinkedIn Data API | Personal/Work Emails & Phone Numbers | Global Coverage 1B+ People
Verified Data Provider| # | email_type |
email_status |
email |
full_name |
first_name |
last_name |
title |
location |
locality |
region |
country |
linkedin |
domain |
phone_number1 |
phone_number2 |
phone_number3 |
mobile_phone1 |
other_phone1 |
personal_email1 |
company |
linkedin_profile_url |
company_domain |
company_industry |
company_subindustry |
company_size |
company_size_range |
company_founded |
company_revenue |
company_funding |
company_type |
company_linkedin |
company_twitter |
company_facebook |
company_description |
company_last_funding_round |
company_last_funding_amount |
company_last_funding_at |
company_location |
company_street |
company_locality |
company_region |
company_country |
sub_title |
summary |
months_at_current_position |
months_at_current_company |
current_job_description |
is_premium |
Open_to_Work |
person_industry |
skills |
languages |
certifications |
education |
work_history |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
| 2 | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
| 3 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
| 4 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
| 5 | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
| 6 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
| 7 | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx |
| 8 | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx |
| 9 | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx |
| 10 | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx |
| ... | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx |
Volume
1B
person records
Data Quality
95%
Linkedin Profile Coverage
Avail. Formats
.json, .csv, and .xls
File
Coverage
249
Countries
History
0
days
Data Dictionary
[Sample] Wiza_Data_Sample.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
email_type
|
String | work | |
|
email_status
|
String | valid | |
|
email
 |
String | ||
|
full_name
|
String | ||
|
first_name
|
String | ||
|
last_name
|
String | ||
|
title
|
String | Vice President of Product Management | |
|
location
|
String | Fremont, California, United States | |
|
locality
|
String | Fremont | |
|
region
|
String | California | |
|
country
|
String | United States | |
|
linkedin
|
String | https://www.linkedin.com/in/kiranprabhakara | |
|
domain
|
String | fivetran.com | |
|
phone_number1
|
Integer | ||
|
phone_number2
|
Integer | ||
|
phone_number3
|
Integer | ||
|
mobile_phone1
|
Integer | 15106766469 | |
|
other_phone1
|
Integer | 15105050474 | |
|
personal_email1
|
String | ||
|
company
|
String | Fivetran | |
|
linkedin_profile_url
|
String | https://www.linkedin.com/in/kiranprabhakara | |
|
company_domain
|
String | fivetran.com | |
|
company_industry
|
String | Software Development | |
|
company_subindustry
|
String | Analytics | |
|
company_size
|
Integer | 1001 | |
|
company_size_range
|
String | 1001 to 5000 | |
|
company_founded
|
Integer | 2012 | |
|
company_revenue
|
String | $108,000,000 | |
|
company_funding
|
String | $728,000,000 | |
|
company_type
|
String | private | |
|
company_linkedin
|
String | https://www.linkedin.com/company/fivetran | |
|
company_twitter
|
String | https://twitter.com/fivetran | |
|
company_facebook
|
String | https://www.facebook.com/fivetran | |
|
company_description
|
String | Effortlessly centralize all the data you need so your tea... | |
|
company_last_funding_round
|
String | Series D | |
|
company_last_funding_amount
|
String | $565,000,000 | |
|
company_last_funding_at
|
String | 21-Sep | |
|
company_location
|
String | Oakland, California, United States | |
|
company_street
|
String | 1221 Broadway St | |
|
company_locality
|
String | Oakland | |
|
company_region
|
String | California | |
|
company_country
|
String | United States | |
|
sub_title
|
String | Product management and Strategy Leader | B2B SaaS | Fivet... | |
|
summary
|
String | Kiran is an accomplished product leader with strong exper... | |
|
months_at_current_position
|
Integer | 8 | |
|
months_at_current_company
|
Integer | 8 | |
|
current_job_description
|
String | Lead product management for Fivetran's automated data mov... | |
|
is_premium
|
Boolean | t | |
|
Open_to_Work
|
Boolean | f | |
|
person_industry
|
String | Computer Software | |
|
skills
|
String | ["Enterprise Software", "SaaS", "Product Management", "Bu... | |
|
languages
|
|||
|
certifications
|
String | [{"name":"The Science of Leadership","date":{"start":{"mo... | |
|
education
|
String | [{"date":{"start":{"month":null,"day":null,"year":null},"... | |
|
work_history
|
String | [{"company":{"id":3954657,"name":"Fivetran","logo":"https... |
Product Attributes
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Email Type
|
String | work | |
|
Email Status
|
String | valid | |
| String | Contact Email Address | ||
| String | Contact Email Address | ||
| String | Contact Full Name | ||
| String | Contact First Name | ||
| String | Contact Last Name | ||
| String | Founder & CEO | Contact Job Title | |
| String | New York, New York, United States | Location Name | |
| String | New York | City Name | |
| String | New York | State Name | |
| String | United States | Country Name | |
| String | Contact LinkedIn | ||
| Integer | Contact Phone Number | ||
| Integer | Contact Phone Number | ||
| Integer | Contact Phone Number | ||
| Integer | Contact Mobile Phone Number | ||
| Integer | Company Phone Number | ||
| String | https://wiza.co/ | Company Domain | |
| String | Wiza | Company Name | |
| String | Software Development | Company Industry | |
| String | Lead Generation Software | Company Industry | |
| Integer | 15 | Company Employee Count | |
| Text | 11-50 | Company Employee Count | |
|
company founded
|
Integer | 2019 | |
| Integer | 10000000 | Company Annual Revenue | |
|
company funding
|
Integer | 0 | |
|
company type
|
String | Private | |
| String | https://www.linkedin.com/company/wizainc/ | Company LinkedIn | |
|
company twitter
|
String | https://x.com/wiza_co?lang=en | |
|
company facebook
|
String | https://www.facebook.com/p/Wiza-100057334364194/ | |
| String | The world's most accurate source of contact data | Company Description | |
|
company_last_funding_round
|
String | Series A | |
|
company_last_funding_amount
|
String | 20000000 | |
|
company_last_funding_at
|
Date | 2021-06 | |
| String | Newark, Delaware, United States | Company Address | |
| String | 2035 Sunset Lake Road | Company Address | |
| String | Newark | Company Address | |
| String | Delaware | Company Address | |
| String | United States | Company Address | |
|
Linkedin Subtitle
|
String | Founder & CEO of Wiza | |
|
Linkedin summary
|
String | After a short career in sales, I created Wiza to help sal... | |
|
Linkedin months in position
|
Integer | 60 | |
|
Linkedin months at company
|
Integer | 60 | |
| String | Wiza is a prospecting tool in a league of it's own, helpi... | Job Description | |
|
Linkedin is_premium
|
Boolean | TRUE | |
|
Linkedin Open to work
|
Boolean | FALSE | |
|
Linkedin person industry
|
String | Internet | |
|
Linkedin skills
|
Text | ["Go-to-Market Strategy", "Analytics", "Project Managemen... | |
|
Linkedin Languages
|
Text | [{"name":"English","proficiency":"NATIVE_OR_BILINGUAL"},{... | |
|
Linkedin certifications
|
Text | [{"name":"California License Solar Contractor","date":{"s... | |
|
Linkedin education
|
Text | [{"date":{"start":{"month":null,"day":null,"year":2012},"... | |
|
Linkedin work history
|
Text | [{"company":{"id":157261,"name":"Danaher Corporation","lo... |
Description
Leverage Wiza’s API for real-time access to LinkedIn data, enabling accurate prospecting with verified contact information, including emails and phone numbers. Ideal for B2B sales and recruitment across industries, Wiza’s API supports global data coverage with a focus on reliability and precision.
Wiza’s API empowers businesses to seamlessly access real-time LinkedIn data, making it easy to find verified contact details for sales and recruitment efforts.
The API supports various LinkedIn URLs, including regular, Sales Navigator, and Recruiter links. If no URL is available, simply input a name and company to get enriched contact information.
With over 15 advanced filters, users can build targeted lists, sourcing prospects by criteria like job title, industry, and location.
Wiza’s API is usage-based, charging only for verified data, ensuring accuracy with one of the lowest bounce rates in the industry.
This API is ideal for companies looking to automate lead generation, streamline data enrichment, and maintain high data quality standards. It integrates smoothly with existing CRM systems, making it a valuable asset for sales and marketing teams seeking to optimize outreach campaigns.
Country Coverage
Africa
(58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia
(51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe
(51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America
(13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania
(25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other
(9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America
(42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)
History
0 days of historical data
Volume
| 1 billion | person records |
Pricing
Free sample available
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License |
$500 / month |
| Yearly License |
$6,000 / year |
| Usage-based |
$0.02 / API credit |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
Linkedin Profile Coverage
valid email match rate
phone number accuracy
Email accuracy
Delivery
Methods
S3 Bucket
Email
UI Export
REST API
Frequency
minutely
hourly
daily
weekly
real-time
on-demand
Format
.json
.csv
.xls
Use Cases
Categories
Related Searches
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Frequently asked questions
What is LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People?
Leverage Wiza’s API for real-time access to LinkedIn data, enabling accurate prospecting with verified contact information, including emails and phone numbers. Ideal for B2B sales and recruitment across industries, Wiza’s API supports global data coverage with a focus on reliability and precision.
What is LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People used for?
This product has 3 key use cases. Wiza recommends using the data for Lead Scoring, Sales Prospecting, and Contact Data Enrichment. Global businesses and organizations buy Company Data from Wiza to fuel their analytics and enrichment.
Who can use LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Company Data. Get in touch with Wiza to see what their data can do for your business and find out which integrations they provide.
How far back does the data in LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People go?
This product has 0 days of historical coverage. It can be delivered on a minutely, hourly, daily, weekly, real-time, and on-demand basis.
Which countries does LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Wiza is headquartered in United States of America.
How much does LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People cost?
Pricing for LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People starts at USD0.02 per API credit. Connect with Wiza to get a quote and arrange custom pricing models based on your data requirements.
How can I get LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People?
Businesses can buy Company Data from Wiza and get the data via S3 Bucket, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Wiza can deliver this product in .json, .csv, and .xls format.
What is the data quality of LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People?
Wiza has reported that this product has the following quality and accuracy assurances: 99% Email accuracy, 95% Linkedin Profile Coverage, 80% phone number accuracy. You can compare and assess the data quality of Wiza using Datarade’s data marketplace. Wiza has received 2 reviews from clients.
What are similar products to LinkedIn Data API Personal/Work Emails & Phone Numbers Global Coverage 1B+ People?
This product has 3 related products. These alternatives include Real-Time Verified Email Data API Personal & Work Emails Global Coverage - 1B+ People, Success.ai B2B Email Data 170M Global Work Emails & Numbers Best Price Guarantee, and Forager.ai - Global B2B Person Data 720M LinkedIn Profiles Bi-Weekly Updates B2B Contacts Data Hourly Delivery via CSV, JSON, PostgreSQL. You can compare the best Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.
