Restaurant & Food Delivery Transaction Data | North America | Bi-Weekly Updates (Consumer Data w/ 17M+ Records) | product image in hero

Restaurant & Food Delivery Transaction Data | North America | Bi-Weekly Updates (Consumer Data w/ 17M+ Records) |

Opah Labs
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#
total
checklistorder
durationtransit
productsquantity
plaza
durationdriverinbranch
durationautomaticassignment
publicid
discount
ispaid
currency
branch
tags
paidwith
durationbranchdispatch
folio
sdc_received_at
durationorderwaiting
customer
sdc_batched_at
sdc_extracted_at
ordertype
durationcompleted
durationaccepted
multiorder
change
v
durationonsite
cancelationreason
synctofullorderat
branchsupport
tip
sdc_table_version
createdat
durationsupplied
paymentmethod
updatedat
shoppingcar
status
prescriptionaction
sdc_sequence
history
subtotal
comments
id
endedat
barcode
tax
scheduleddate
statusbranch
realdistancefromdrivertobranch
realdistancefrombranchtoorder
origin
geofences
linealdistancefromdrivertobranch
timeaproxfrombranchtoorder
linealdistancefrombranchtoorder
timeaproxfromdrivertobranch
isattendedbyexternalservice
isassignedtoexternalservice
isvoucher
externalid
driverassignedat
etaalerts
etametrics
durationbranchsupplied
durationbranchinpackaged
durationbranchinprogress
reassignreasonhistory
filemedia
driverassignedby
driver
completedreason
createdathistoric
comment
billinginformation
medic
wallet
thirdpartyservice
user
tip_fl
ticket
signature
rate
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 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
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5 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 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
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8 xxxxxxxxx Xxxxx xxxxx xxxxxxx xxxxxxxx xxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxx xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxx xxxxxxx xxxxxxx Xxxxxxxx xxxxxxx Xxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxxx Xxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxx xxxxxxxxx xxxxx xxxxxx Xxxxxxxxx xxxxxxxxx xxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxx xxxxxxx Xxxxxx Xxxxxx xxxxxxx Xxxxxxx Xxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx
9 Xxxxxxx xxxxxxxx Xxxxxx xxxxxxx xxxxxxxxx xxxxxxxxxx xxxxxxx xxxxxxxxx xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxx Xxxxx Xxxxxxxxx Xxxxxxxxx xxxxx xxxxxxxxxx xxxxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx Xxxxxx xxxxxxxx xxxxxx xxxxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxx xxxxxx xxxxxxxxx xxxxxxx xxxxxx Xxxxxx xxxxxxxx xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxx xxxxxxx xxxxxxxxx xxxxxx Xxxxx Xxxxxx Xxxxxxxxxx xxxxx xxxxxxxx xxxxxxxx Xxxxx xxxxxxx xxxxxxx xxxxxxx xxxxxxxxxx xxxxx Xxxxxxx xxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxx Xxxxx Xxxxxxxxx Xxxxx xxxxxxx Xxxxxxx xxxxxxx xxxxx Xxxxxxxxx Xxxxxxx Xxxxxx Xxxxxx xxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxx xxxxx
10 xxxxxxx Xxxxxxxx xxxxx Xxxxxxxx xxxxxx xxxxxxxxxx xxxxx xxxxxx xxxxxx Xxxxx Xxxxxx xxxxxxxxx Xxxxxxxxx Xxxxxx xxxxxxxx xxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxx xxxxxx Xxxxx xxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxx Xxxxxxx xxxxx xxxxxx xxxxxx xxxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxxxx xxxxxxx Xxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxxxxxx xxxxx Xxxxxx Xxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxx Xxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxx Xxxxxx xxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxx Xxxxxxx xxxxxx xxxxxx xxxxxxxxx xxxxx Xxxxxxx Xxxxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxxx
... Xxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxx xxxxx Xxxxxxxxx xxxxx Xxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx xxxxxxxxx Xxxxx Xxxxx xxxxx xxxxxx xxxxxx xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxx xxxxxxxx xxxxx xxxxxxxx xxxxx Xxxxx xxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxx Xxxxx xxxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx xxxxxxx xxxxxx xxxxxx xxxxxxxxx Xxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxx Xxxxx Xxxxxxx Xxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxx xxxxx xxxxxxx xxxxxxxx Xxxxxxx xxxxxxxx
Sign In To Preview Data
Volume
965M
Records
Data Quality
100%
match rate
Avail. Formats
.json and .csv
File
Coverage
2
Countries
History
8
years

Data Dictionary

[Sample] Redacted Sample_Jelp app inc_Data_Summary - Samples.csv
Attribute Type Example Mapping
total
Integer 264
checklistorder
String [{'value': {'_id': '61d2263bd4972b6e39d76b61', 'type': 'F...
durationtransit
Integer 4448
productsquantity
Integer 9
plaza
String REDACTED
durationdriverinbranch
Integer 13
durationautomaticassignment
Integer 3077
publicid
Integer 500782443
discount
Float 8.16
ispaid
Boolean t
currency
String MXN
branch
String REDACTED
tags
String [{}, {}, {}, {}, {}, {'value': 'CLIENTE PUBLICO GENERAL'}...
paidwith
Integer 1700
durationbranchdispatch
Integer 472
folio
String 33ET4L1
sdc_received_at
DateTime 2022-03-23T14:51:57+00:00
durationorderwaiting
Integer 237
customer
String REDACTED
sdc_batched_at
DateTime 2021-03-11T01:35:54+00:00
sdc_extracted_at
DateTime 2022-04-04T16:51:45+00:00
ordertype
String DELIVERY
durationcompleted
Integer 1484
durationaccepted
Integer 2735
multiorder
Boolean t
change
Integer 132
v
Integer 0
durationonsite
Integer 5480
cancelationreason
String FARMACIA NO CUENTA CON PRODUCTO
synctofullorderat
DateTime 2021-03-02T07:06:54+00:00
branchsupport
String REDACTED
tip
Integer 50
sdc_table_version
Integer 1615423902272
createdat
DateTime 2021-11-08T17:10:35+00:00
durationsupplied
Integer 1580
paymentmethod
String TARJETA
updatedat
DateTime 2021-06-20T16:29:53+00:00
shoppingcar
String {'products': [{'value': {'sku': '01012', 'tax': 0, 'name'...
status
String CANCELED
prescriptionaction
String NONE
sdc_sequence
Integer 1615430099158335030
history
String REDACTED
subtotal
Float 218.5
comments
String REDACTED
id
String 5f32faf7c54f5b35b44fdd30
endedat
DateTime 2020-05-06T03:06:40+00:00
barcode
String 110291727|501941178APP
tax
Integer 21
scheduleddate
DateTime 2021-07-25T13:30:59+00:00
statusbranch
String BRANCH_DISPATCH
realdistancefromdrivertobranch
Float 3263.1
realdistancefrombranchtoorder
Integer 1307
origin
String LD-EXPRESS
geofences
String REDACTED
linealdistancefromdrivertobranch
Float 2525.59672
timeaproxfrombranchtoorder
Float 570.4
linealdistancefrombranchtoorder
Float 1264.527235
timeaproxfromdrivertobranch
Float 304.4
isattendedbyexternalservice
Boolean t
isassignedtoexternalservice
Boolean t
isvoucher
Boolean t
externalid
String [{'value': {'name': 'INTEGRACIONES SERVICE-BUS', 'referen...
driverassignedat
DateTime 2021-09-29T23:34:15+00:00
etaalerts
String REDACTED
etametrics
String {'ordersdrivercount': '0', 'ordersactivebyplaza': '55', '...
durationbranchsupplied
Integer 0
durationbranchinpackaged
Integer 0
durationbranchinprogress
Integer 309
reassignreasonhistory
String REDACTED
filemedia
String REDACTED
driverassignedby
String REDACTED
driver
String REDACTED
completedreason
String ENTREGADO CON DIRECCIN INCORRECTA
createdathistoric
DateTime 2022-04-13T02:04:21+00:00
comment
String REDACTED
billinginformation
String REDACTED
medic
String REDACTED
wallet
Integer 4600678945984
thirdpartyservice
String Mensajeros Urbanos
user
String REDACTED
tip_fl
Float 0.01
ticket
String Farmacias Roma
signature
String REDACTED
rate
String {'orderrate': '4', 'driverrate': '3', 'ordercomment': 'Fo...

Description

Streamline food delivery operations with software enriched by comprehensive Restaurant & Food Delivery Transaction Data. Gain valuable insights into driver info, transit times, products, payments, and customer behavior to enhance delivery efficiency and customer satisfaction.
Opah labs 3227 specializes in providing third-party software solutions for last-mile delivery services in North America, excluding the United States. Established in 2015, their primary focus is on business-to-business (B2B) services. Their platform streamlines delivery operations, overseeing orders, drivers, and historical data, including Ecommerce data. They have a database containing 5,632,203 records spanning from August 5, 2021, to March 23, 2022, with no duplicates. They serve 1,134,167 unique users, with an 82.30% similarity rate. Their mission is to enhance last-mile delivery efficiency through software and data-driven solutions. The data is sourced from an application that facilitates various deliveries, acting as a backend for providers. The company offers ETL services and can adjust delivery frequency, including daily collection. It has data coverage for Ozempic, Saxenda, Orlistat, and Hydrogel. The dataset includes prescription delivery data and consumer goods data for users. This information offers insights into geographical transactions at a consumer level, with implications for consumer behavior and publicly traded companies. Restaurant & Food Delivery Transaction Data is part of Opah 3227's comprehensive dataset, providing valuable insights into the dynamics of the food delivery industry. | Volume and Stats | Industry records undergo an unmatched refresh every two weeks. Many prominent sales and marketing platforms rely on curating firsthand data. Delivery formats: JSON, XLS, CSV | Data Points | With an impressive average of over 1,255,918 unique users. Key fields include Location, Payment Method, transit times, branch locations, and products. | Use Cases | Pharma, Restaurant & Food Delivery Transaction, Ecommerce Pharma Data pertaining to the pharmaceutical industry. Restaurant & Food Delivery Transaction Details of transactions in the restaurant and food delivery sector. Ecommerce Online transactions, including products, purchases, and customer behavior, vital for optimizing online retail operations. | Data Use Cases | Understand consumer purchasing and delivery behavior within the Mexico market Data provides insights into pharmaceutical usage within the Mexico Market Insights into food consumption and food delivery usage Insights into delivery applications transactions within the Mexico market, Rappi, Uber Eats, Ivoy, etc Verified delivery consumer, email address, address information, etc Geospatial, latitude, longitude, ping data coordinate values for consumers with timestamps Geospatial, latitude, longitude, ping data coordinate values for delivery drivers Insights into Mexico Farmacia brands delivery transactions Insights to build targeted marketing campaigns for Mexico market consumers | Delivery Options | Choose from various delivery options such as flat files, databases, APIs, and more, tailored to your needs. | Other key features | Free data samples Tags: Third-party software, On-Demand delivery, Last-mile, Drivers, Transit times, Branch locations, Products, Payments, Customer data, Food delivery, E-commerce, Pharmacy, Prescription action, Order processing, Efficiency, Customer behavior, Demand forecasting, Route optimization.

Country Coverage

North America (2)
Mexico
United States of America

History

8 years of historical data

Volume

965 million Records

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
match rate

Delivery

Methods
S3 Bucket
Frequency
weekly
monthly
Format
.json
.csv

Use Cases

vehicle location
Pharma
Restaurant & Food Delivery Transaction

Categories

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Frequently asked questions

What is Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) ?

Streamline food delivery operations with software enriched by comprehensive Restaurant & Food Delivery Transaction Data. Gain valuable insights into driver info, transit times, products, payments, and customer behavior to enhance delivery efficiency and customer satisfaction.

What is Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) used for?

This product has 3 key use cases. Opah Labs recommends using the data for vehicle location, Pharma, and Restaurant & Food Delivery Transaction. Global businesses and organizations buy Vehicle Location Data from Opah Labs to fuel their analytics and enrichment.

Who can use Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) ?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Vehicle Location 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 Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) go?

This product has 8 years of historical coverage. It can be delivered on a weekly and monthly basis.

Which countries does Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 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 Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) cost?

Pricing information for Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 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 Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) ?

Businesses can buy Vehicle Location 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 Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 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 Restaurant & Food Delivery Transaction Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) ?

This product has 3 related products. These alternatives include Food Delivery & Product Data North America Bi-Weekly Updates (Consumer Data w/ 17M+ Records) , Grepsr Food Menu, Prices, Deliveries, and Reviews from Food Delivery Sites Global Coverage with Custom and On-demand Datasets, and Forager.ai - Shopify Data - eCommerce Company Data 320K Stores API & Dataset Bi-weekly Updates eCommerce Company Data Technographic Data. You can compare the best Vehicle Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available