E-Receipt Data | Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan product image in hero

E-Receipt Data | Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan

Measurable AI
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#
mailSource
subject
accountEmailId
accountProvider
receivedDate
dataType
receiptId
dataId
htmlKey
extractorVersion
uniqueId
extractSpecTag
orderId
totalPrice
totalPriceUSD
totalCharged
totalChargedUSD
orderTimeHasTimeZone
pickupTimeHasTimeZone
dropoffTimeHasTimeZone
pickupAddress
dropoffAddress
restaurant
deliveryFee
deliveryFeeUSD
priceItems
productItems
driverId
orderType
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
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Sign In To Preview Data
#
accountEmailId
receiptId
receivedDate
orderId
totalCharged
totalChargedUSD
restaurant
deliveryFee
deliveryFeeUSD
priceItems
productItems
osType
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx
2 Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx
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5 Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx
6 Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx
7 Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx
8 xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx
9 xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx
10 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 xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx
Sign In To Preview Data
#
mailSource
subject
accountEmailId
receivedDate
dataType
receiptId
uniqueId
primaryKey
orderId
totalPrice
totalPriceUSD
totalCharged
totalChargedUSD
rawPaymentMethod
paymentMethod
langCode
pickupTime
pickupTimezoneOffset
pickupTimeHasTimeZone
dropoffTime
dropoffTimeHasTimeZone
pickupAddress
dropoffAddress
distanceInMiles
tripTimeInSeconds
carType
priceItems
driverId
restaurant
productItems
deliveryFee
deliveryFeeUSD
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
2 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
3 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 xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx
4 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
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6 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 xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx
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8 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
9 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 Xxxxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxx
10 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
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Sign In To Preview Data
#
accountEmailId
receiptId
receivedDate
orderId
totalCharged
totalChargedUSD
restaurant
deliveryFeeUSD
priceItems
productItems
driverId
osType
isSyncing
firstEmailReceivedAt
lastEmailReceivedAt
accountCreatedAt
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx
2 xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx
3 xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx
4 xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx
5 xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx
6 Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx
7 xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx
8 Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx
9 xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx
10 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 xxxxx
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Coverage
25
Countries
History
2017
years

Data Dictionary

[Sample] Swiggy granular sample.csv
Attribute Type Example Mapping
String *******@******.** Email Address
mailSource
subject
String Your receipt for Swiggy order 60883379970 from Dec 31,2019
accountEmailId
Integer 127419228
accountProvider
String gmail
receivedDate
Integer 1577808206
dataType
String SwiggyReceiptType
receiptId
String 14e0479c7a0f30440b6a8b685c465d67f23a233687de56cd7fb6d7ed5...
dataId
Integer 1
htmlKey
String d156d4d4df0d9489d8a7a04d4828bfd3b195194460c3f8237d97b38ca...
extractorVersion
String 1.0.0
uniqueId
String 3EUeBT1Oxz5ljFgkJ3dXo0v1QgMHGYjgiEefcS9eN0U=
extractSpecTag
orderId
Integer 60883379970
totalPrice
Integer 630
totalPriceUSD
Float 8.454
totalCharged
Integer 630
totalChargedUSD
Float 8.454
String INR Currency Code
String India Country Name
String IN Country Code Alpha-2
orderTimeHasTimeZone
Boolean f
pickupTimeHasTimeZone
Boolean f
dropoffTimeHasTimeZone
Boolean f
pickupAddress
dropoffAddress
String Sector 6 Dwarka, Dwarka, Delhi, 110075, India
restaurant
String The Taste
deliveryFee
Integer 0
deliveryFeeUSD
Integer 0
priceItems
String [{"itemType":6,"price":680,"priceLabel":"Rs. 680","priceN...
productItems
String [{"imageURL":"","price":380,"priceLabel":"380","priceName...
driverId
orderType
String Purchase
[Sample] Foodpanda HK granular sample .csv
Attribute Type Example Mapping
accountEmailId
Integer 827400528
receiptId
String b0feff8ca02ed56d6a6edaea1197406350aefd5ceb915171091415eae...
receivedDate
Integer 1590232285
orderId
String w3yv-dbnk
totalCharged
Float 253.6
totalChargedUSD
Float 32.526
String HKD Currency Code
String Hong Kong Country Name
String HK Country Code Alpha-2
restaurant
String School Food Blooming Mari
deliveryFee
Integer 20
deliveryFeeUSD
Float 2.565
priceItems
String [{"itemType":6,"price":292,"priceLabel":"HK$292.00","pric...
productItems
String [{"imageURL":"","price":88,"priceLabel":"HK$ 88.00","pric...
osType
String android
[Sample] Sample granular Grab Data Malaysia.csv
Attribute Type Example Mapping
String **-*****@****.*** Email Address
mailSource
subject
String Your Grab E-Receipt
accountEmailId
Integer 806558861
receivedDate
Integer 1613282696
dataType
String GrabReceiptType
receiptId
String a8376a7148c0b13aa996ae4ee9bc5a498a7f6beb877d03f42a9d75749...
uniqueId
String 3MKX10ygor17pzn4vl9nlXoCvcdyowrHxiTGOHbo8Wg=
primaryKey
String adr-28438753-9-121_purchase
orderId
String ADR-28438753-9-121
totalPrice
Integer 65
totalPriceUSD
Float 15.446
totalCharged
Integer 65
totalChargedUSD
Float 15.446
String MYR Currency Code
rawPaymentMethod
String grabpay wallet
paymentMethod
String grabpay
langCode
String ms
String MY Country Code Alpha-2
String Malaysia Country Name
pickupTime
Integer 1613280420
pickupTimezoneOffset
Integer 28800
pickupTimeHasTimeZone
Boolean t
dropoffTime
Integer 0
dropoffTimeHasTimeZone
Boolean f
pickupAddress
String Garden Scents - Tropicana Garden Mall
dropoffAddress
String Ms Chin Lam Yee
distanceInMiles
Integer 0
tripTimeInSeconds
Integer 0
carType
String GrabMart
priceItems
String [{"itemType":6,"price":63,"priceLabel":"RM 63.00","priceN...
driverId
restaurant
productItems
String [{"imageURL":"","price":63,"priceLabel":"RM 63.00","price...
deliveryFee
Integer 2
deliveryFeeUSD
Float 0.475
[Sample] Deliveroo SG Granular Sample.csv
Attribute Type Example Mapping
accountEmailId
Integer 487527591
receiptId
String ab0beba4a799d0156d61f6d6d44d9706ece6d2596652a95eff4b70cd4...
receivedDate
Integer 1619444741
orderId
Integer 598675340
totalCharged
Float 19.1
totalChargedUSD
Float 14.013
String SGD Currency Code
String Singapore Country Name
String SG Country Code Alpha-2
restaurant
String Kimly Seafood
deliveryFeeUSD
Float 0.734
priceItems
String [{"itemType":6,"price":17.9,"priceLabel":"$17.90","priceN...
productItems
String [{"imageURL":"","price":17.9,"priceLabel":"$17.90","price...
driverId
osType
isSyncing
Boolean t
firstEmailReceivedAt
Integer 1546273733
lastEmailReceivedAt
Integer 1654836550
accountCreatedAt
Integer 1548658307

Description

E-receipt dataset is Itemized, high-definition data per transaction level with metrics such as order value, items ordered, no. of orders per user, delivery fee, service fee, promotions used, geolocation data etc.
Granular, transactional level real purchase data available on an almost real-time basis from our own proprietary consumer panel. Measurable AI sources its e-receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients focusing primarily in the emerging markets. Our clients leverage on our datasets to produce actionable consumer insights such as market share analysis, user behavioural traits (e.g. retention rates), average order values, and promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better. Most of our clients are the fast-growing tech companies, financial institutions, buyside firms, market research agencies, consultancies and acadamia.

Country Coverage

Asia (14)
Hong Kong
India
Indonesia
Japan
Korea (Republic of)
Malaysia
Pakistan
Philippines
Saudi Arabia
Singapore
Taiwan
Turkey
United Arab Emirates
Vietnam
Europe (5)
France
Germany
Italy
Portugal
United Kingdom
North America (1)
United States of America
South America (5)
Argentina
Brazil
Chile
Colombia
Peru

History

2017 years of historical data

Pricing

Measurable AI has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Use Cases

Categories

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Frequently asked questions

What is E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan?

E-receipt dataset is Itemized, high-definition data per transaction level with metrics such as order value, items ordered, no. of orders per user, delivery fee, service fee, promotions used, geolocation data etc.

What is E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan used for?

This product has 5 key use cases. Measurable AI recommends using the data for Investing, Consumer Intelligence, Market Intelligence, Alternative Investment, and Customer Insights. Global businesses and organizations buy E-Receipt Data from Measurable AI to fuel their analytics and enrichment.

Who can use E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for E-Receipt Data. Get in touch with Measurable AI to see what their data can do for your business and find out which integrations they provide.

How far back does the data in E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan go?

This product has 2017 years of historical coverage.

Which countries does E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan cover?

This product includes data covering 25 countries like USA, Japan, Germany, India, and United Kingdom. Measurable AI is headquartered in Hong Kong.

How much does E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan cost?

Pricing information for E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan is available by getting in contact with Measurable AI. Connect with Measurable AI to get a quote and arrange custom pricing models based on your data requirements.

What is the data quality of E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan?

You can compare and assess the data quality of Measurable AI using Datarade’s data marketplace. Measurable AI appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? July Edition.

What are similar products to E-Receipt Data Granular Food Delivery Data for South East Asia, Asia, Latin America, Middle East, United States, India and Japan?

This product has 3 related products. These alternatives include GrabFood, GrabExpress Restaurant & Food Delivery Transaction Data E-Receipt Data South East Asia Granular & Aggregate Data avail., Grepsr Food Menu, Prices, Deliveries, and Reviews from Food Delivery Sites Global Coverage with Custom and On-demand Datasets, and Competitive Intelligence Data for Food & Beverage Industry. You can compare the best E-Receipt Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

Measurable AI

Transactional e-receipts data for emerging markets

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