E-Receipt Data for Ecommerce Companies | Southeast Asia, Latin America, India | Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre
# | accountEmailId |
receivedDate |
dataType |
receiptId |
dataId |
htmlKey |
extractorVersion |
uniqueId |
extractSpecTag |
primaryKey |
orderId |
orderType |
totalPrice |
totalPriceUSD |
totalCharged |
totalChargedUSD |
currency |
rawPaymentMethod |
paymentMethod |
langCode |
country |
pickupTime |
pickupTimezoneOffset |
pickupTimeHasTimeZone |
dropoffTime |
dropoffTimezoneOffset |
dropoffTimeHasTimeZone |
pickupLat |
pickupLon |
dropoffLat |
dropoffLon |
pickupPostCode |
dropoffPostCode |
distanceInMiles |
tripTimeInSeconds |
carType |
priceItems |
driverId |
uberOfficeAddress |
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | 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 | Xxxxx | xxxxxxxxxx |
3 | 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 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx |
4 | 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 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx |
5 | 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 | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx |
6 | 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 |
7 | 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 |
8 | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | 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 |
9 | 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 |
10 | 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 | 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 | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Email Address | ||
accountEmailId
|
Integer | 3782048822 | |
receivedDate
|
Integer | 1675209667 | |
dataType
|
String | UberReceiptType | |
receiptId
|
String | a77cde10ac0d0ccbeee5d2a7599484edf3a9fb8b5f851aefc9c22f2ea... | |
dataId
|
Integer | 1 | |
htmlKey
|
String | 911bae08ac4d3ec06935492b8509b4ab4f668989e37ef3c128b4d1df5... | |
extractorVersion
|
String | 18.0.0 | |
uniqueId
|
String | CyH53aRx6YWr0mixG2KagdHgQ2LXQM4YlrPCBileoqk= | |
extractSpecTag
|
|||
primaryKey
|
String | fcd1222c-9ffe-4e51-911f-56377ca40539_purchase | |
orderId
|
String | fcd1222c-9ffe-4e51-911f-56377ca40539 | |
orderType
|
String | Purchase | |
totalPrice
|
Float | 13.82 | |
totalPriceUSD
|
Float | 2.817 | |
totalCharged
|
Float | 12.44 | |
totalChargedUSD
|
Float | 2.536 | |
currency
|
String | BRL | |
rawPaymentMethod
|
String | cash | |
paymentMethod
|
String | cash | |
langCode
|
String | pt | |
String | BR | Country Code Alpha-2 | |
country
|
String | Brazil | |
pickupTime
|
Integer | 1675195020 | |
pickupTimezoneOffset
|
Integer | 0 | |
pickupTimeHasTimeZone
|
Boolean | f | |
dropoffTime
|
Integer | 1675195740 | |
dropoffTimezoneOffset
|
Integer | 0 | |
dropoffTimeHasTimeZone
|
Boolean | f | |
String | Address | ||
String | Address | ||
pickupLat
|
Integer | 0 | |
pickupLon
|
Integer | 0 | |
dropoffLat
|
Integer | 0 | |
dropoffLon
|
Integer | 0 | |
pickupPostCode
|
|||
dropoffPostCode
|
|||
distanceInMiles
|
Float | 4.026 | |
tripTimeInSeconds
|
Integer | 601 | |
carType
|
String | Uber Flash | |
priceItems
|
String | [{"itemType":0,"price":13.07,"priceLabel":"R$ 13,07","pri... | |
driverId
|
|||
uberOfficeAddress
|
String | Uber B.V. Mr. Treublaan 7 1097 DP Amsterdam |
Description
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Frequently asked questions
What is E-Receipt Data for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre?
Measurable AI’s e-receipt data is a weekly/ monthly order volume and revenue delivered in aggregate form, with historical data dating back from 2018. All the transactional e-receipts are sent from e-commerce platforms to users’ registered accounts.
What is E-Receipt Data for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre used for?
This product has 5 key use cases. Measurable AI recommends using the data for Investing, Market Research, Business Intelligence (BI), Competitor Insights, and Market Intelligence. Global businesses and organizations buy Ecommerce Data from Measurable AI to fuel their analytics and enrichment.
Who can use E-Receipt Data for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Ecommerce 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 for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre go?
This product has 3 years of historical coverage.
Which countries does E-Receipt Data for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre cover?
This product includes data covering 13 countries like Japan, India, Brazil, South Korea, and Indonesia. Measurable AI is headquartered in Hong Kong.
How much does E-Receipt Data for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre cost?
Pricing information for E-Receipt Data for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre 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 for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre?
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 for Ecommerce Companies Southeast Asia, Latin America, India Shopee, Lazada, Tokopedia, Momoshop, HKTVMall, and MacardoLibre?
This product has 3 related products. These alternatives include Global Ecommerce Data for Emerging Markets Amazon Data Granular Transactional E-receipt Data Weekly/ Monthly Delivery 3y Historical Data, eCommerce Data Verified eCommerce Data for Contacts and Companies – Best Price Guarantee, 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 Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.