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Yotpo is a cloud-based content marketing platform for e-commerce businesses. It lets users collect user-generated content and use the content to build a brand and manage the customer experience.
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Connection settings
Setting
Description
Data gateway
Выберите шлюз Data Movement gateway, если этого требует текущий сценарий использования.
Примечание к информации
Это поле недоступно при использовании подписки Qlik Talend Cloud Starter, так как она не поддерживает Data Movement gateway. Если используется другой уровень подписки или не требуется использовать Data Movement gateway, выберите Нет.
Для получения информации о преимуществах Data Movement gateway и о сценариях, требующих его использования, см. раздел Qlik Data Gateway — Data Movement.
Start Date
Введите дату в формате MM/DD/YYYY, начиная с которой данные должны реплицироваться из источника в цель.
API Key
API key.
API Secret
API secret.
Schema
Примечание к информации
Schemas and naming conventions can change from version to version. It is recommended to verify your version before continuing.
The schema and info displayed below is for version 2.
Depending on your destination, table and column names may not appear as they are outlined below.
collections
The collections table contains data about your store’s product groupings - collections - in your Yotpo account.
The emails table contains data about every email sent from Yotpo.
Attribution window
When data is replicated for this table, it will use an attribution window of 30 days to fetch updated email statistics such as opens, clicks, etc. This means that every time a replication job runs, the last 30 days’ worth of data will be replicated for this table.
Refer to the Replication section for more info and examples of how the attribution window is used to query for data.
This is a nested data structure: cancellation_date, DATE-TIME
checkout_token
STRING
created_at
DATE-TIME
currency
STRING
custom_properties
OBJECT
customer
OBJECT
This is a nested data structure:
accepts_email_marketing: STRING
accepts_sms_marketing: STRING
custom_properties: OBJECT
email: STRING
external_id: STRING
first_name: STRING
last_name: STRING
phone_number: STRING
external_id
STRING
fulfillments
ARRAY
This is a nested data structure:
external_id: STRING
fulfilled_items: ARRAY, which is also a nested data structure.
external_product_id: STRING
quantity: INTEGER
fulfillment_date: DATE-TIME
shipment_info: OBJECT, which is also a nested data structure.
shipment_status: STRING
tracking_company: STRING
tracking_number: STRING
tracking_url: STRING
landing_site_url
STRING
line_items
ARRAY
This is a nested data structure:
coupon_code: STRING
created_at: DATE-TIME
custom_properties: OBJECT, which is also a nested data structure.
external_product_id: STRING
product_id: STRING
quantity: INTEGER
subtotal_price: NUMBER
total_price: NUMBER
updated_at: DATE-TIME
yotpo_id: INTEGER
order_date
DATE-TIME
order_name
STRING
payment_method
STRING
payment_status
STRING
shipping_address
OBJECT
This is a nested data structure:
address1: STRING
address2: STRING
city: STRING
company: STRING
country_code: STRING
phone_number: STRING
province_code: STRING
state: STRING
zip: STRING
source
STRING
subtotal_price
NUMBER
total_price
NUMBER
updated_at
DATE-TIME
yotpo_id
INTEGER
product_reviews
The product_reviews table contains data about reviews for a certain product.
Note: This table is similar to the reviews table, but also contains custom fields. If you don’t have or need custom product fields, you may only want to replicate the reviews table to prevent redundant data.
Note: This table is similar to the product_reviews table, but doesn’t contain custom fields. If you have or need custom fields, you may want to only replicate the product_reviews table to prevent redundant data.
Attribution window
When data is replicated for this table, it will use an attribution window of 30 days to fetch updated (or deleted) reviews. This means that every time a replication job runs, the last 30 days’ worth of data will be replicated for this table.
Refer to the Replication section for more info and examples of how the attribution window is used to query for data.
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