MixRank - US Only Person Dataset | 160M+ Records | 50M+ Updates/Month | Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery
# | awards |
country_iso |
education |
experience |
experience[*] |
experience[*].company_name |
experience[*].end_date |
experience[*].end_date_month |
experience[*].end_date_year |
experience[*].is_current |
experience[*].locality |
experience[*].start_date |
experience[*].start_date_month |
experience[*].start_date_year |
experience[*].summary |
experience[*].title |
industry_id |
industry_name |
interests |
job_posts |
locality |
name |
others_named |
others_named[*] |
patents |
people_also_viewed |
people_also_viewed[*] |
person_id |
position |
position.company_name |
position.locality |
position.start_date |
position.start_date_month |
position.start_date_year |
position.summary |
position.title |
projects |
publications |
recommender_count |
specialties |
summary |
title |
updated_at |
volunteering |
||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | 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 |
3 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | 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 |
4 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | 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 |
5 | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | 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 |
6 | 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 | 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 |
7 | 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 | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx |
8 | 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 | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx |
9 | 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 | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
10 | 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 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
awards
|
list | ||
String | text | Company Name | |
String | text | Company Website | |
country_iso
|
text | ||
String | text | Country Name | |
education
|
list | ||
experience
|
list | ||
experience[*]
|
obj | ||
experience[*].company_name
|
text | ||
experience[*].end_date
|
integer | ||
experience[*].end_date_month
|
integer | ||
experience[*].end_date_year
|
integer | ||
experience[*].is_current
|
boolean | ||
experience[*].locality
|
text | ||
experience[*].start_date
|
text | ||
experience[*].start_date_month
|
integer | ||
experience[*].start_date_year
|
integer | ||
experience[*].summary
|
text | ||
experience[*].title
|
text | ||
String | Contact First Name | ||
industry_id
|
integer | ||
industry_name
|
text | ||
interests
|
list | ||
job_posts
|
list | ||
String | list | Language Name | |
String | Contact Last Name | ||
locality
|
text | ||
name
|
text | ||
others_named
|
list | ||
others_named[*]
|
integer | ||
patents
|
list | ||
people_also_viewed
|
list | ||
people_also_viewed[*]
|
integer | ||
person_id
|
integer | ||
position
|
obj | ||
position.company_name
|
text | ||
position.locality
|
text | ||
position.start_date
|
text | ||
position.start_date_month
|
integer | ||
position.start_date_year
|
integer | ||
position.summary
|
text | ||
position.title
|
text | ||
projects
|
list | ||
publications
|
list | ||
recommender_count
|
integer | ||
specialties
|
list | ||
summary
|
text | ||
title
|
text | ||
updated_at
|
text | ||
volunteering
|
list |
Description
Country Coverage
History
Volume
160 million | Records |
50 million | Updates/Month |
150 | Individual Data Points |
40 | Other Social Network Linkages |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
$13,000$11,700 / month |
Yearly License |
$156,000$140,400 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery?
World’s best US Professionals Dataset!!! This is the largest and most up-to-date data feed in the industry today. Who this data is for — Sales & Hiring Platforms, Data Vendors, ABM & Intent, PE & VCs.
What is MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery used for?
This product has 5 key use cases. MixRank recommends using the data for Identity Resolution, Venture Capital (VC), Private Equity (PE), B2B Data Enrichment, and Contact Data Enrichment. Global businesses and organizations buy Company Data from MixRank to fuel their analytics and enrichment.
Who can use MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Company Data. Get in touch with MixRank to see what their data can do for your business and find out which integrations they provide.
How far back does the data in MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery go?
This product has 36 months of historical coverage. It can be delivered on a minutely, hourly, daily, weekly, monthly, quarterly, real-time, and on-demand basis.
Which countries does MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery cover?
This product includes data covering 1 country like USA. MixRank is headquartered in United States of America.
How much does MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery cost?
Pricing for MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery starts at USD13,000 per month. MixRank offers a 10% discount when you buy data from them through Datarade. Connect with MixRank to get a quote and arrange custom pricing models based on your data requirements.
How can I get MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery?
Businesses can buy Company Data from MixRank and get the data via S3 Bucket, SFTP, and REST API. Depending on your data requirements and subscription budget, MixRank can deliver this product in .json and .csv format.
What is the data quality of MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery?
MixRank has reported that this product has the following quality and accuracy assurances: 99.5% Match rate to all public records. You can compare and assess the data quality of MixRank using Datarade’s data marketplace. MixRank appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? May Edition.
What are similar products to MixRank - US Only Person Dataset 160M+ Records 50M+ Updates/Month Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery?
This product has 3 related products. These alternatives include Forager.ai - Global Job Postings Data Set 732M Records 21M Updates/Month Delivery Hourly via CSV/JSON/PostgreSQL Human Resources (HR) Data, MixRank - India Only Company Dataset 1M+ Records Monthly Updates Hourly Delivery via CSV/JSON/PostgreSQL Database Delivery, and HitHorizons Manufacturing Company Data API CSV JSON 4,289,762 Companies 50 European Countries Data Enrichment Monthly Updated. You can compare the best Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.