Pharma Consumer Contact Data: Telephone, Name, and Addresses | 17M+ Records
# | driver_id |
driver_fullname |
driver_employeecode |
customer_addresstype |
customer_city |
customer_exteriornumber |
customer_longitude |
customer_interiornumber |
customer_fulladdress |
customer_latitude |
customer_iscellphone |
customer_phone |
customer_id |
customer_neighborhood |
customer_street |
customer_zipcode |
customer_fullname |
customer_references |
customer_betweenstreet1 |
customer_betweenstreet2 |
customer_customertype |
customer_extension |
billing_fiscalname |
billing_fiscalid |
billing_zipcode |
billing_interiornumber |
billing_city |
billing_exteriornumber |
billing_street |
billing_fulladdress |
billing_state |
billing_neighborhood |
billing_email |
branch_code |
branch_latitude |
branch_name |
branch_issadavailable |
branch_id |
branch_longitude |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | 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 |
3 | 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 | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
4 | 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 |
5 | 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 |
6 | 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 |
7 | 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 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
8 | 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 |
9 | 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 |
10 | 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 |
... | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
driver_id
|
String | REDACTED | |
driver_fullname
|
String | REDACTED | |
driver_employeecode
|
String | external_driver | |
customer_addresstype
|
String | HOME | |
customer_city
|
String | REDACTED | |
customer_exteriornumber
|
|||
customer_longitude
|
String | REDACTED | |
customer_interiornumber
|
|||
String | REDACTED | Country Code Alpha-2 | |
customer_fulladdress
|
String | REDACTED | |
customer_latitude
|
String | REDACTED | |
customer_iscellphone
|
Boolean | t | |
customer_phone
|
String | REDACTED | |
customer_id
|
String | REDACTED | |
customer_neighborhood
|
String | REDACTED | |
customer_street
|
String | REDACTED | |
customer_zipcode
|
String | REDACTED | |
customer_fullname
|
String | REDACTED | |
customer_references
|
|||
customer_betweenstreet1
|
|||
customer_betweenstreet2
|
|||
customer_customertype
|
|||
customer_extension
|
|||
billing_fiscalname
|
|||
billing_fiscalid
|
|||
billing_zipcode
|
|||
billing_interiornumber
|
|||
billing_city
|
|||
billing_exteriornumber
|
|||
billing_street
|
|||
billing_fulladdress
|
|||
billing_state
|
|||
billing_neighborhood
|
|||
billing_email
|
|||
branch_code
|
String | REDACTED | |
branch_latitude
|
|||
branch_name
|
String | REDACTED | |
branch_issadavailable
|
Boolean | t | |
branch_id
|
String | REDACTED | |
branch_longitude
|
Description
Country Coverage
History
Volume
965 million | records |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records?
Pharma Consumer Contact Data: Telephone, Name, and Addresses. Gain valuable insights into driver info, transit times, products, payments, and customer behavior to enhance delivery efficiency and customer satisfaction
What is Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records used for?
This product has 3 key use cases. Opah Labs recommends using the data for ecommerce, Pharma, and Restaurant & Food Delivery Transaction. Global businesses and organizations buy Product Data from Opah Labs to fuel their analytics and enrichment.
Who can use Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Product Data. Get in touch with Opah Labs to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records go?
This product has 8 years of historical coverage. It can be delivered on a weekly and monthly basis.
Which countries does Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records cover?
This product includes data covering 2 countries like USA and Mexico. Opah Labs is headquartered in United States of America.
How much does Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records cost?
Pricing information for Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records is available by getting in contact with Opah Labs. Connect with Opah Labs to get a quote and arrange custom pricing models based on your data requirements.
How can I get Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records?
Businesses can buy Product Data from Opah Labs and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Opah Labs can deliver this product in .json and .csv format.
What is the data quality of Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records?
Opah Labs has reported that this product has the following quality and accuracy assurances: 100% match rate. You can compare and assess the data quality of Opah Labs using Datarade’s data marketplace.
What are similar products to Pharma Consumer Contact Data: Telephone, Name, and Addresses 17M+ Records?
This product has 3 related products. These alternatives include Ecommerce Data - Product data, Seller data, Market data, Pricing data Scrape all publicly available eCommerce data 50% Cost Saving Free Sample, Coresignal Consumer Review Data Tech Product Review Data Trustpilot + 3 Other Sources Global / 182M+ Records / Updated Monthly, and Webautomation Ecommerce Company Data Web Extraction Data GDPR Compliant. You can compare the best Product Data providers and products via Datarade’s data marketplace and get the right data for your use case.