US Healthcare NPI and Taxonomy Data | 8M+ B2B Healthcare Company Data - Emails & Phone Numbers | Healthcare Professionals Data
Verified Data Provider| # | "NPI_number" |
created_epoch |
enumeration_type |
last_updated_epoch |
twitter_url |
facebook_url |
organizational_subpart |
founded_year |
enumeration_date |
last_updated |
certification_date |
status |
keywords |
estimated_num_employees |
authorized_official__first_name |
authorized_official__last_name |
authorized_official__middle_name |
authorized_official__telephone_number |
authorized_official__email |
authorized_official__title_or_position |
authorized_official__name_prefix |
authorized_official__name_suffix |
taxonomies__code |
taxonomies__taxonomy_group |
taxonomies__desc |
taxonomies__state |
taxonomies__license |
taxonomies__primary |
addresses__country_name |
addresses__address_purpose |
addresses__address_type |
addresses__address_1 |
addresses__city |
addresses__state |
addresses__postal_code |
addresses__telephone_number |
addresses__fax_number |
practiceLocations__country_name |
practiceLocations__address_purpose |
practiceLocations__address_type |
practiceLocations__address_1 |
practiceLocations__address_2 |
practiceLocations__city |
practiceLocations__state |
practiceLocations__postal_code |
practiceLocations__telephone_number |
practiceLocations__fax_number |
|||||
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| 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 |
| 2 | 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 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx |
| 3 | 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 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx |
| 4 | 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 | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx |
| 5 | 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 | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx |
| 6 | 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 | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx |
| 7 | 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 | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx |
| 8 | 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 | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx |
| 9 | 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 | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx |
| 10 | 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 | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
"NPI_number"
|
Integer | 1962765693 | |
|
created_epoch
|
Integer | 1340059837000 | |
|
enumeration_type
|
String | NPI-2 | |
|
last_updated_epoch
|
Integer | 1715966436000 | |
| String | ALTERNATIVE BEHAVIOR STRATEGIES, LLC | Company Name | |
| String | http://www.abskids.com | Company Website | |
| String | http://www.linkedin.com/company/abskids | Company LinkedIn | |
|
twitter_url
|
String | https://twitter.com/abs_kids | |
|
facebook_url
|
String | https://www.facebook.com/alternative.behavior.strategies/ | |
|
organizational_subpart
|
Boolean | f | |
|
founded_year
|
Integer | 2011 | |
|
enumeration_date
|
DateTime | 2012-06-18T00:00:00+00:00 | |
|
last_updated
|
DateTime | 2024-05-17T00:00:00+00:00 | |
|
certification_date
|
DateTime | 2024-05-17T00:00:00+00:00 | |
|
status
|
String | A | |
|
keywords
|
String | applied behavioral analysis for autism spectrum therapy | |
|
estimated_num_employees
|
Integer | 1300 | |
|
authorized_official__first_name
|
String | JEFFREY | |
|
authorized_official__last_name
|
String | SKIBITSKY | |
|
authorized_official__middle_name
|
String | WILLIAM | |
|
authorized_official__telephone_number
|
String | (801)-935-4062 | |
|
authorized_official__email
|
String | [email protected] | |
|
authorized_official__title_or_position
|
String | Founder | |
|
authorized_official__name_prefix
|
String | Mr. | |
|
authorized_official__name_suffix
|
String | -- | |
|
taxonomies__code
|
String | 103K00000X | |
|
taxonomies__taxonomy_group
|
String | 193200000X - Multi-Specialty Group | |
|
taxonomies__desc
|
String | Behavior Analyst | |
|
taxonomies__state
|
String | UT | |
|
taxonomies__license
|
String | null | |
|
taxonomies__primary
|
Boolean | f | |
| String | US | Country Code Alpha-2 | |
|
addresses__country_name
|
String | United States | |
|
addresses__address_purpose
|
String | LOCATION | |
|
addresses__address_type
|
String | DOM | |
|
addresses__address_1
|
String | 9600 CENTER AVE STE 160 | |
|
addresses__city
|
String | RANCHO CUCAMONGA | |
|
addresses__state
|
String | CA | |
|
addresses__postal_code
|
Integer | 917305838 | |
|
addresses__telephone_number
|
String | 858-264-5858 | |
|
addresses__fax_number
|
String | ||
| String | US | Country Code Alpha-2 | |
|
practiceLocations__country_name
|
String | United States | |
|
practiceLocations__address_purpose
|
String | LOCATION | |
|
practiceLocations__address_type
|
String | DOM | |
|
practiceLocations__address_1
|
String | 3000 LATROBE DRIVE, SUITE C | |
|
practiceLocations__address_2
|
String | ||
|
practiceLocations__city
|
String | CHARLOTTE | |
|
practiceLocations__state
|
String | NC | |
|
practiceLocations__postal_code
|
Integer | 282114866 | |
|
practiceLocations__telephone_number
|
String | 704-780-4271 | |
|
practiceLocations__fax_number
|
String |
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What is US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data?
Kickstart your project with an extensive list of healthcare professionals and companies, ensuring exceptional accuracy. dataRAT provides a customized file with over 8 million healthcare companies, ranging from doctors and physicians to hospitals and nursing homes.
What is US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data used for?
This product has 4 key use cases. dataRAT recommends using the data for B2B Marketing, B2B Advertising, B2B Sales, and Healthcare Utilization. Global businesses and organizations buy B2B Contact Data from dataRAT to fuel their analytics and enrichment.
Who can use US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Contact Data. Get in touch with dataRAT to see what their data can do for your business and find out which integrations they provide.
Which countries does US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data cover?
This product includes data covering 1 country like USA. dataRAT is headquartered in Romania.
How much does US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data cost?
Pricing information for US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data is available by getting in contact with dataRAT. Connect with dataRAT to get a quote and arrange custom pricing models based on your data requirements.
How can I get US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data?
Depending on your data requirements and subscription budget, dataRAT can deliver this product in .json, .csv, and .xls format.
What is the data quality of US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data?
You can compare and assess the data quality of dataRAT using Datarade’s data marketplace.
What are similar products to US Healthcare NPI and Taxonomy Data 8M+ B2B Healthcare Company Data - Emails & Phone Numbers Healthcare Professionals Data?
This Tabular Data has 3 related products. These alternatives include Dataplex: US Healthcare NPI & Taxonomy Data Access 8.5M B2B Contacts with Emails & Phones Perfect for Outreach & Market Research, Healthcare Data- Healthcare Contact Data, Healthcare Professionals Data, Scrape All Publicly Available Healthcare Related Data’s 50% Cost Saving, and Alesco Data’s Healthcare Professionals Audience Data - 9+ million US Licensed Healthcare Providers with 4+ million opt-in emails. You can compare the best B2B Contact Data providers and products via Datarade’s data marketplace and get the right data for your use case.
