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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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Sélectionnez Ouvrir les métadonnées de connexion pour définir les métadonnées de la connexion lors de sa création.
Cliquez sur Créer.
Connection settings
Setting
Description
Data gateway
Sélectionnez une Data Movement gateway si cela est nécessaire pour votre cas d'utilisation.
Note Informations
Ce champ n'est pas disponible avec l'abonnement Démarreur Qlik Talend Cloud, car il ne supporte pas Data Movement gateway. Si vous avez un autre niveau d'abonnement et si vous ne souhaitez pas utiliser Data Movement gateway, sélectionnez Aucune.
Pour des informations sur les avantages de Data Movement gateway et les cas d'utilisation qui la nécessitent, consultez Qlik Data Gateway - Data Movement.
Start Date
Saisissez la date, au format MM/DD/YYYY, à partir de laquelle les données doivent être répliquées de votre source vers votre cible.
API Key
API key.
API Secret
API secret.
Schema
Note Informations
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.
Si vous rencontrez des problèmes sur cette page ou dans son contenu – une faute de frappe, une étape manquante ou une erreur technique – faites-le-nous savoir.