Opah Labs | Restaurant & Food Delivery Transaction Data | Puerto Rico | 112M+ Records
# | ORDER_ID |
ORDER_DISHES |
ORDER_STATUS |
TOTAL_AMOUNT |
DELIVERED_AT |
DELIVERY_ADDRESS |
DELIVERY_COORDS |
TAXDATA |
TAXDATA_ORI |
ORDER_CREATED_AT |
USER_ID |
USERNAME |
USER_EMAIL |
FULL_NAME |
TOTAL_ORDERS_PLACED |
FIRST_ORDER_DATE |
LAST_ORDER_DATE |
USER_CREATED_AT |
USER_UPDATED_AT |
RESTAURANT_ID |
RESTAURANT_NAME |
RESTAURANT_ADDRESS |
RESTAURANT_EMAIL |
AVG_RATING |
AVG_COOKING_TIME |
LAST_RESTAURANT_ORDER_DATE |
RESTAURANT_TAX_PERCENT |
RESTAURANT_REV_SHARE |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | 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 | Xxxxxxx |
3 | 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 |
4 | 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 |
5 | 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 |
6 | 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 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
7 | 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 |
8 | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
9 | 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 |
10 | 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 | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
ORDER_ID
|
String | Redacted | |
ORDER_DISHES
|
String | [{"actualDishPrice":17,"actualVariantPrice":0,"count":2,"... | |
ORDER_STATUS
|
String | DELIVERED | |
TOTAL_AMOUNT
|
Integer | 7006 | |
DELIVERED_AT
|
DateTime | 2024-03-27T00:00:00+00:00 | |
DELIVERY_ADDRESS
|
String | Redacted | |
DELIVERY_COORDS
|
String | Redacted | |
TAXDATA
|
String | {"deliveryTaxes":{"total":0.43},"foodTaxes":{"municipalit... | |
TAXDATA_ORI
|
|||
ORDER_CREATED_AT
|
DateTime | 2024-03-27T00:00:00+00:00 | |
USER_ID
|
String | Redacted | |
USERNAME
|
String | Redacted | |
USER_EMAIL
|
String | Redacted | |
FULL_NAME
|
String | ||
TOTAL_ORDERS_PLACED
|
Integer | 24 | |
FIRST_ORDER_DATE
|
DateTime | 2021-08-03T00:00:00+00:00 | |
LAST_ORDER_DATE
|
DateTime | 2024-03-27T00:00:00+00:00 | |
USER_CREATED_AT
|
DateTime | 2018-02-01T00:00:00+00:00 | |
USER_UPDATED_AT
|
DateTime | 2024-03-27T00:00:00+00:00 | |
RESTAURANT_ID
|
String | Redacted | |
RESTAURANT_NAME
|
String | La Burguesía | |
RESTAURANT_ADDRESS
|
String | Redacted | |
RESTAURANT_EMAIL
|
String | Redacted | |
AVG_RATING
|
Integer | 5 | |
AVG_COOKING_TIME
|
Integer | 1707 | |
LAST_RESTAURANT_ORDER_DATE
|
DateTime | 2024-03-28T00:00:00+00:00 | |
RESTAURANT_TAX_PERCENT
|
Integer | 7 | |
RESTAURANT_REV_SHARE
|
Integer | 10 |
Description
Country Coverage
History
Volume
123 million | Records |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ Records?
The data contains rich insights into product details, sales trends, and consumer behavior, helping businesses streamline supply chain operations. Covering the restaurant data, it provides a high-quality dataset that supports better decision-making and enhances targeted marketing efforts.
What is Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ Records used for?
This product has 5 key use cases. Opah Labs recommends using the data for Personalized Marketing, Inventory Management, Retail Strategy, Trend Identification, and Supply Chain Optimization. Global businesses and organizations buy Product Data from Opah Labs to fuel their analytics and enrichment.
Who can use Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ 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 Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ Records go?
This product has 7 years of historical coverage. It can be delivered on a weekly and monthly basis.
Which countries does Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ Records cover?
This product includes data covering 1 country like Puerto Rico. Opah Labs is headquartered in United States of America.
How much does Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ Records cost?
Pricing information for Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ 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 Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ 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 Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ 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 Opah Labs Restaurant & Food Delivery Transaction Data Puerto Rico 112M+ Records?
This product has 3 related products. These alternatives include Opah Labs Optimizing Marketing Strategies with Food & Grocery Transaction Data Puerto Rico 112M+ Records, GrabFood, GrabExpress Restaurant & Food Delivery Transaction Data E-Receipt Data South East Asia Granular & Aggregate Data avail., and Snapbizz FMCG Financial Data POS Transaction Data. You can compare the best Product Data providers and products via Datarade’s data marketplace and get the right data for your use case.