Shopee is one of Southeast Asia and Latin America’s leading e-commerce platforms, providing a marketplace for sellers to list products and manage orders. The Shopee Open Platform API enables access to your seller data including products, orders, advertising campaigns, and shop performance metrics.

Configuring Shopee as a Source

In the Sources tab, click on the “Add source” button located on the top right of your screen. Then, select the Shopee option from the list of connectors. Click Next and you’ll be prompted to add your access.

1. Add account access

You’ll need to authorize Nekt to access your Shopee seller data. Click on the Shopee Authorization button and log in with your Shopee seller account. Grant the necessary permissions for the shop you want to extract data from. The following configurations are available:

API URL: Select the appropriate API endpoint for your region:
- https://partner.shopeemobile.com - Global (Southeast Asia)
- https://openplatform.shopee.com.br - Brazil
- https://openplatform.shopee.cn - China
Start Date: The earliest date from which records will be synced. If not provided, all available historical data will be extracted.

Make sure you have the correct API permissions enabled in your Shopee Partner account. The connector requires access to Product, Order, and Payment APIs depending on which streams you select.

Once you’re done, click Next.

2. Select streams

Choose which data streams you want to sync. For faster extractions, select only the streams that are relevant to your analysis. You can select entire groups of streams or pick specific ones.

Tip: The stream can be found more easily by typing its name.

Select the streams and click Next.

3. Configure data streams

Customize how you want your data to appear in your catalog. Select the desired layer where the data will be placed, a folder to organize it inside the layer, a name for each table (which will effectively contain the fetched data) and the type of sync.

Layer: choose between the existing layers on your catalog. This is where you will find your new extracted tables as the extraction runs successfully.
Folder: a folder can be created inside the selected layer to group all tables being created from this new data source.
Table name: we suggest a name, but feel free to customize it. You have the option to add a prefix to all tables at once and make this process faster!
Sync Type: you can choose between INCREMENTAL and FULL_TABLE.
- Incremental: every time the extraction happens, we’ll get only the new data, which is good if, for example, you want to keep every record ever fetched.
- Full table: every time the extraction happens, we’ll get the current state of the data, which is good if, for example, you don’t want to have deleted data in your catalog.

Once you are done configuring, click Next.

4. Configure data source

Describe your data source for easy identification within your organization, not exceeding 140 characters. To define your Trigger, consider how often you want data to be extracted from this source. This decision usually depends on how frequently you need the new table data updated (every day, once a week, or only at specific times). Optionally, you can define some additional settings:

Configure Delta Log Retention and determine for how long we should store old states of this table as it gets updated. Read more about this resource here.
Determine when to execute an Additional Full Sync. This will complement the incremental data extractions, ensuring that your data is completely synchronized with your source every once in a while.

Once you are ready, click Next to finalize the setup.

5. Check your new source

You can view your new source on the Sources page. If needed, manually trigger the source extraction by clicking on the arrow button. Once executed, your data will appear in your Catalog.

For you to be able to see it on your Catalog, you need at least one successful source run.

Streams and Fields

Available streams

The table below lists every supported stream, its slug (the exact identifier to pass when creating the source via API), and a short description.

Stream	Slug	Description
Products	`products`	Complete product catalog with detailed information including pricing, inventory, media, and attributes.
FBS Stock	`fbs_stock`	FBS (Fulfillment by Shopee) warehouse stock per product and warehouse location.
Seller Stock	`seller_stock`	Stock held in the seller’s own warehouses, split per product and location.
Orders	`orders`	Complete order details including buyer information, items, payments, and shipping.
Escrow Details	`escrow_details`	Financial breakdown per order, including marketplace commission data.
Escrow List	`escrow_list`	Orders whose escrow has been released to the seller, by settlement date.
Wallet Transactions	`wallet_transactions`	Every movement of the seller’s Shopee wallet balance, including early payouts, adjustments and withdrawals.
Product Analytics	`product_analytics`	Current reading of product engagement and sales metrics (lifetime totals).
Daily Product Analytics	`daily_product_analytics`	Product engagement and sales metrics as a day-by-day series (opt-in).

Fields by stream

Below you’ll find the specific fields available within each stream:

Products

Complete product catalog with detailed information including pricing, inventory, media, and attributes.

Field	Type	Description
`item_id`	Integer	Unique identifier for the product
`item_name`	String	Product name/title
`item_sku`	String	SKU code
`description`	String	Product description
`description_type`	String	Type of description
`category_id`	Integer	Category identifier
`condition`	String	Product condition (new, used)
`item_status`	String	Current status (NORMAL, BANNED, UNLIST, REVIEWING, SELLER_DELETE, SHOPEE_DELETE)
`create_time`	Integer	When the product was created (Unix timestamp)
`update_time`	Integer	When the product was last updated (Unix timestamp)
`price_info`	Array	Price information per currency with currency, original_price, current_price, inflated_price_of_original_price, inflated_price_of_current_price, sip_item_price, sip_item_price_source, local_price, local_promotion_price
`image`	Object	Product images with image_id_list, image_url_list, image_ratio
`video_info`	Array	Product videos with video_url, thumbnail_url, duration
`promotion_image`	Array	Promotional images
`attribute_list`	Array	Product attributes with attribute_id, original_attribute_name, is_mandatory, attribute_value_list
`weight`	String	Product weight
`dimension`	Object	Package dimensions with package_length, package_width, package_height
`logistic_info`	Array	Logistics options with logistic_id, logistic_name, enabled, shipping_fee, size_id, is_free, estimated_shipping_fee
`stock_info_v2`	Object	Detailed stock information with summary_info, seller_stock, shopee_stock (includes if_saleable), advance_stock
`brand`	Object	Brand information with brand_id, original_brand_name
`gtin_code`	String	GTIN/EAN barcode
`authorised_brand_id`	Integer	Authorized brand ID
`ssp_id`	String	SSP identifier
`pre_order`	Object	Pre-order settings with is_pre_order, days_to_ship
`wholesales`	Array	Wholesale pricing tiers with min_count, max_count, unit_price, inflated_price_of_unit_price
`purchase_limit_info`	Object	Purchase limits with min_purchase_limit, max_purchase_limit
`deboost`	Boolean	Whether product is deboost (visibility reduced)
`has_model`	Boolean	Whether product has variations/models
`has_promotion`	Boolean	Whether currently on promotion
`promotion_id`	Integer	Active promotion ID
`is_fulfillment_by_shopee`	Boolean	Whether fulfilled by Shopee (FBS)
`item_dangerous`	Integer	Dangerous goods indicator
`scheduled_publish_time`	Integer	Scheduled publish time (Unix timestamp)
`size_chart`	String	Size chart content
`size_chart_id`	Integer	Size chart identifier
`tag`	Object	Product tags with kit flag
`description_info`	Object	Extended description with extended_description containing field_list
`compatibility_info`	Object	Vehicle compatibility with vehicle_info_list
`tax_info`	Object	Tax details by region (ncm, cfop codes, tax rates for Brazil; vat_rate for Poland; hs_code for India; tax_type for Taiwan)
`complaint_policy`	Object	Warranty and complaint settings with warranty_time, exclude_entrepreneur_warranty, complaint_address_id, additional_information
`certification_info`	Object	Product certifications with certification_list containing permit_id, certification_no, expiry_date, certification_proofs

FBS Stock

FBS (Fulfillment by Shopee) warehouse stock per product and warehouse location.

Field	Type	Description
`item_id`	Integer	Identifier of the associated item.
`location_id`	String	Shopee warehouse location identifier.
`stock`	Integer	Stock quantity available at this warehouse location.
`if_saleable`	Boolean	Whether the warehouse stock is ready for sale.

Seller Stock

Stock held in the seller’s own warehouses. This stream flattens the seller stock array into one row per product and warehouse location.

Field	Type	Description
`item_id`	Integer	Identifier of the associated item.
`location_id`	String	Seller warehouse location identifier.
`stock`	Integer	Stock quantity available at this warehouse location.
`if_saleable`	Boolean	Whether the warehouse stock is ready for sale.

Orders

Complete order details including buyer information, items, payments, and shipping.

Field	Type	Description
`order_sn`	String	Unique order serial number
`order_status`	String	Order status
`region`	String	Order region/country
`currency`	String	Order currency
`cod`	Boolean	Cash on delivery flag
`total_amount`	Float	Total order amount
`message_to_seller`	String	Buyer’s message
`pending_terms`	Array	Array of pending terms
`pending_description`	Array	Array of pending descriptions
`create_time`	Integer	Order creation time (Unix timestamp)
`update_time`	Integer	Last update time (Unix timestamp, replication key)
`pay_time`	Integer	Payment time
`ship_by_date`	Integer	Ship by deadline
`days_to_ship`	Integer	Days allowed to ship
`note_update_time`	Integer	When seller note was last updated
`buyer_user_id`	Integer	Buyer’s user ID
`buyer_username`	String	Buyer’s username
`buyer_cpf_id`	String	Buyer’s CPF (Brazil)
`recipient_address`	Object	Delivery address with name, phone, full_address, town, district, city, state, region, zipcode, geolocation
`item_list`	Array	Ordered items with item_id, item_name, item_sku, model_id, model_name, model_sku, model_quantity_purchased, model_original_price, model_discounted_price, weight, wholesale, add_on_deal info, promotion details, order_item_id, image_info, product_location_id, prescription flags, consultation_id, hot_listing_item
`shipping_carrier`	String	Carrier name
`checkout_shipping_carrier`	String	Selected carrier at checkout
`estimated_shipping_fee`	Float	Estimated shipping cost
`actual_shipping_fee`	Float	Actual shipping cost
`actual_shipping_fee_confirmed`	Boolean	Fee confirmation status
`reverse_shipping_fee`	Float	Return shipping fee
`order_chargeable_weight_gram`	Integer	Chargeable weight
`fulfillment_flag`	String	Fulfillment type
`pickup_done_time`	Integer	Pickup completion time
`goods_to_declare`	Boolean	Customs declaration required
`package_list`	Array	Packages with package_number, tracking_number, logistics_status, logistics_channel_id, shipping_carrier, allow_self_design_awb, item_list, parcel_chargeable_weight, parcel_chargeable_weight_gram, group_shipment_id, virtual_contact_number, package_query_number, sorting_group
`payment_method`	String	Payment method
`payment_info`	Array	Payment details with payment_method, payment_processor_register, card_brand, transaction_id, payment_amount
`cancel_by`	String	Who cancelled
`cancel_reason`	String	Cancellation reason
`buyer_cancel_reason`	String	Buyer’s cancellation reason
`invoice_data`	Object	Invoice details with number, series_number, access_key, issue_date, total_value, products_total_value, tax_code
`prescription_images`	Array	Array of prescription image URLs
`prescription_check_status`	String	Check status
`pharmacist_name`	String	Pharmacist name
`prescription_approval_time`	Integer	Approval time
`prescription_rejection_time`	Integer	Rejection time
`edt_from`	Integer	Estimated delivery time from
`edt_to`	Integer	Estimated delivery time to
`booking_sn`	String	Booking serial number
`advance_package`	Boolean	Advance package flag
`dropshipper`	String	Dropshipper name
`dropshipper_phone`	String	Dropshipper phone
`note`	String	Seller notes
`split_up`	Boolean	Order split flag
`return_request_due_date`	Integer	Return request deadline
`is_buyer_shop_collection`	Boolean	Shop collection flag
`buyer_proof_of_collection`	Array	Array of collection proof images
`hot_listing_order`	Boolean	Hot listing order flag

Escrow Details

Financial breakdown per order, including marketplace commission data.

Field	Type	Description
`order_sn`	String	Order serial number.
`buyer_user_name`	String	Buyer username
`buyer_payment_info`	Object	Buyer payment information.
`order_income`	Object	Order income breakdown.
`return_order_sn_list`	Array	List of return order serial numbers.

Escrow List

Orders whose escrow has been released, by settlement date. Escrow Details answers what an order is expected to yield and follows the order’s own update time; this stream answers what Shopee actually paid out, and when. Settlement can happen, and be adjusted, without the order being touched, so the release time is the reliable way to follow the money.

Field	Type	Description
`order_sn`	String	Shopee’s unique identifier for the settled order.
`payout_amount`	Float	The amount actually settled to the seller for this order.
`escrow_release_time`	Integer	Unix timestamp of when the escrow was released to the seller (replication key).

Wallet Transactions

Every movement of the seller’s Shopee wallet balance. Captures financial events not found in Escrow Details, such as early payouts (e.g. Shopee Acelera), adjustments (e.g. ICMS DIFAL charges), refund clawbacks, and withdrawals.

Field	Type	Description
`create_time`	Integer	Unix timestamp of when the transaction was recorded in the wallet.
`transaction_type`	String	What the transaction did to the balance. Common values include FAST_ESCROW_DISBURSE, FAST_ESCROW_DEDUCT, ESCROW_VERIFIED_ADD, ESCROW_VERIFIED_MINUS, WITHDRAWAL_CREATED, ADJUSTMENT_CENTER_ADD, etc.
`status`	String	State of the transaction: FAILED, COMPLETED, PENDING or INITIAL.
`money_flow`	String	Direction of the movement: MONEY_IN for an addition, MONEY_OUT for a deduction.
`amount`	Float	Value added to or taken from the balance, signed. On an early payout this is already net of Shopee’s service fee, which is not itemised anywhere in the ledger.
`transaction_fee`	Float	Fee Shopee charged on this transaction. Reported as 0 for early payouts and other typical types.
`current_balance`	Float	Wallet balance left after the transaction was applied.
`order_sn`	String	Order this transaction originated from, empty when there is none (such as for lump early payouts).
`refund_sn`	String	Serial number of the return that originated this transaction, when applicable.
`buyer_name`	String	Name of the buyer of the order this transaction originated from.
`transaction_tab_type`	String	Section of the seller centre wallet this transaction is filed under, such as quick_funds, wallet_adjustment_filter, or wallet_withdrawals.
`reason`	String	Reason Shopee gave for the movement, reported for the ADJUSTMENT_* types.
`description`	String	Shopee’s own wording for the movement, in the shop’s language. This may contain transaction IDs for lump early payouts or details on adjustments.
`withdrawal_type`	String	Channel of the withdrawal, reported for the WITHDRAWAL_* types.
`withdrawal_id`	Integer	Identifier of the withdrawal, reported for the WITHDRAWAL_* types.
`root_withdrawal_id`	Integer	Identifier of the original withdrawal this one was split from, when applicable.
`outlet_shop_name`	String	Name of the outlet shop the transaction came from, for outlet transactions.
`pay_order_list`	Array	Orders settled by this transaction, for wallet payments covering several orders. Contains `order_sn` and `shop_name`.

Product Analytics

The current reading of the product counters, one row per item. Shopee returns lifetime totals with no date of their own, so every run overwrites the previous reading in the table.

Field	Type	Description
`item_id`	Integer	Product identifier
`sale`	Integer	Total sales count
`views`	Integer	Number of product views
`likes`	Integer	Number of likes/favorites
`rating_star`	Float	Average rating
`comment_count`	Integer	Number of reviews/comments
`snapshot_time`	DateTime	When this extraction read the counters, identical for every row of the same run. Shopee returns the counters as lifetime totals with no date of their own, so this is the only time reference there is. For the variation between days, see the Daily Product Analytics stream.

Daily Product Analytics

Daily series of the product counters, derived from the Product Analytics stream. This stream is opt-in and provides one reading per item per day, allowing you to calculate daily variations.

Field	Type	Description
`item_id`	Integer	Identifier of the associated item.
`sale`	Integer	Lifetime number of sales of the item, as read on this day.
`views`	Integer	Lifetime number of views of the item, as read on this day.
`likes`	Integer	Lifetime number of likes of the item, as read on this day.
`rating_star`	Float	Average rating of the item, as read on this day.
`comment_count`	Integer	Lifetime number of comments on the item, as read on this day.
`snapshot_date`	Date	Day the counters were read, in UTC, and part of the primary key. Every row of a run carries the same day, so there is exactly one reading per item per day and the variation for a day is the difference against the previous day.
`snapshot_time`	DateTime	Exact instant the counters were read, identical for every row of the same run. Shopee returns the counters as lifetime totals with no date of their own, so this is the only time reference available.

Use Cases for Data Analysis

This guide outlines valuable business intelligence use cases when consolidating Shopee data, along with ready-to-use SQL queries that you can run on Explorer.

1. Product Performance Overview

Analyze product performance combining catalog data with engagement metrics. Business Value:

Identify best-selling and most-viewed products
Understand conversion from views to sales
Optimize product listings based on engagement

SQL query

WITH product_metrics AS (
   SELECT
      p.item_id,
      p.item_name,
      p.item_status,
      p.category_id,
      pa.sale AS total_sales,
      pa.views AS total_views,
      pa.likes AS total_likes,
      pa.rating_star,
      pa.comment_count,
      CASE 
         WHEN pa.views > 0 THEN ROUND(pa.sale * 100.0 / pa.views, 2)
         ELSE 0 
      END AS conversion_rate
   FROM
      nekt_raw.shopee_products p
      LEFT JOIN nekt_raw.shopee_product_analytics pa ON p.item_id = pa.item_id
   WHERE
      p.item_status = 'NORMAL'
)
SELECT
   item_id,
   item_name,
   total_sales,
   total_views,
   total_likes,
   rating_star,
   comment_count,
   conversion_rate
FROM
   product_metrics
ORDER BY
   total_sales DESC
LIMIT 50

WITH product_metrics AS (
   SELECT
      p.item_id,
      p.item_name,
      p.item_status,
      p.category_id,
      pa.sale AS total_sales,
      pa.views AS total_views,
      pa.likes AS total_likes,
      pa.rating_star,
      pa.comment_count,
      CASE 
         WHEN pa.views > 0 THEN ROUND(SAFE_DIVIDE(pa.sale * 100.0, pa.views), 2)
         ELSE 0 
      END AS conversion_rate
   FROM
      `nekt_raw.shopee_products` p
      LEFT JOIN `nekt_raw.shopee_product_analytics` pa ON p.item_id = pa.item_id
   WHERE
      p.item_status = 'NORMAL'
)
SELECT
   item_id,
   item_name,
   total_sales,
   total_views,
   total_likes,
   rating_star,
   comment_count,
   conversion_rate
FROM
   product_metrics
ORDER BY
   total_sales DESC
LIMIT 50

Sample Result

item_id	item_name	total_sales	total_views	total_likes	rating_star	comment_count	conversion_rate
123456789	Wireless Bluetooth Earbuds	2,450	45,230	1,890	4.8	856	5.42
234567890	Phone Case Premium	1,890	32,450	1,234	4.6	423	5.82
345678901	USB-C Fast Charger	1,567	28,900	987	4.7	312	5.42
456789012	Screen Protector Pack	1,234	18,450	567	4.5	234	6.69

2. Order Status Analysis

Track order distribution by status to monitor fulfillment health. Business Value:

Monitor order processing efficiency
Identify bottlenecks in fulfillment
Track cancellation rates and reasons

SQL query

WITH order_stats AS (
   SELECT
      order_status,
      COUNT(*) AS order_count,
      SUM(total_amount) AS total_revenue,
      AVG(total_amount) AS avg_order_value
   FROM
      nekt_raw.shopee_orders
   WHERE
      FROM_UNIXTIME(create_time) >= CURRENT_DATE - INTERVAL '30' DAY
   GROUP BY
      order_status
),
total AS (
   SELECT SUM(order_count) AS total_orders FROM order_stats
)
SELECT
   os.order_status,
   os.order_count,
   ROUND(os.order_count * 100.0 / t.total_orders, 2) AS percentage,
   ROUND(os.total_revenue, 2) AS total_revenue,
   ROUND(os.avg_order_value, 2) AS avg_order_value
FROM
   order_stats os, total t
ORDER BY
   os.order_count DESC

WITH order_stats AS (
   SELECT
      order_status,
      COUNT(*) AS order_count,
      SUM(total_amount) AS total_revenue,
      AVG(total_amount) AS avg_order_value
   FROM
      `nekt_raw.shopee_orders`
   WHERE
      TIMESTAMP_SECONDS(create_time) >= TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 30 DAY)
   GROUP BY
      order_status
),
total AS (
   SELECT SUM(order_count) AS total_orders FROM order_stats
)
SELECT
   os.order_status,
   os.order_count,
   ROUND(SAFE_DIVIDE(os.order_count * 100.0, t.total_orders), 2) AS percentage,
   ROUND(os.total_revenue, 2) AS total_revenue,
   ROUND(os.avg_order_value, 2) AS avg_order_value
FROM
   order_stats os, total t
ORDER BY
   os.order_count DESC

Sample Result

order_status	order_count	percentage	total_revenue	avg_order_value
COMPLETED	1,245	62.25	89,234.50	71.67
SHIPPED	456	22.80	31,245.00	68.52
READY_TO_SHIP	189	9.45	14,523.00	76.84
CANCELLED	110	5.50	7,856.00	71.42

Implementation Notes

Timestamps

Shopee uses Unix timestamps (seconds since epoch) for date/time fields. To convert in queries:

-- AWS Athena
FROM_UNIXTIME(create_time) AS created_at

-- GCP BigQuery
TIMESTAMP_SECONDS(create_time) AS created_at

Regional API Endpoints

The connector supports multiple regional API endpoints:

Global (SEA): Singapore, Malaysia, Thailand, Vietnam, Philippines, Indonesia, Taiwan
Brazil: Specific endpoint for Brazilian marketplace
China: Mainland China operations

Make sure to select the correct API URL for your shop’s region.

Incremental Sync

The connector supports incremental sync for:

Orders: Uses update_time as the replication key
Escrow List: Uses escrow_release_time as the replication key
Wallet Transactions: Uses create_time as the replication key
Product Analytics and Daily Product Analytics: Use snapshot_time as the replication key. It is not a filter (the counters are always read for the whole catalog); it makes the load merge on the primary key instead of replacing the table on every run.

For orders, escrow list, and wallet transactions, only records modified or created since the last sync will be extracted. When no start date is set, the Escrow List and Wallet Transactions streams default to the last six months, which is the furthest back Shopee’s financial endpoints allow.The Products, FBS Stock, and Seller Stock streams list the full catalog on every run, so items that have not been touched since the start date are still present.

Daily Product Analytics Series

The Daily Product Analytics stream is designed as a daily snapshot series (this stream is opt-in and not selected by default). Because Shopee returns lifetime counters (such as sale, views, and likes) with no historical dates, this derived stream uses the extraction time to key the records. Every row extracted in a run is stamped with the exact same snapshot_date and snapshot_time. This ensures one reading per item per day, allowing you to calculate daily variations by differencing against previous days. The standard Product Analytics stream, by contrast, keeps only the current reading (one row per item) and updates it on every run. Both streams are fed by a single read of the counters per batch of items, so selecting both does not increase the number of API requests.

Stock Streams Flattening

The Shopee API returns warehouse stock nested inside the product information as two arrays of the same shape: shopee_stock for Fulfillment by Shopee and seller_stock for the seller’s own warehouses. Both remain available nested in stock_info_v2 on the Products stream. The FBS Stock and Seller Stock streams unnest these arrays into one row per product and location, so questions such as which items are out of stock at which warehouse become a plain WHERE instead of an UNNEST on every query.

Authentication and Token Management

The connector automatically manages access token refresh to prevent authentication failures:

Access tokens are refreshed proactively 30 minutes before expiration
The signing key is dynamically updated when generating new tokens
Refresh tokens are stored securely in the Meltano database
Token expiration defaults to 4 hours if not specified by the API

Nested Data Structures

Shopee data contains nested structures. When querying:

Use UNNEST to flatten arrays (e.g., item_list in orders)

Example for order items:

-- AWS Athena
SELECT o.order_sn, i.item_name, i.model_quantity_purchased
FROM orders o
CROSS JOIN UNNEST(o.item_list) AS t(i)

-- GCP BigQuery
SELECT o.order_sn, i.item_name, i.model_quantity_purchased
FROM orders o, UNNEST(o.item_list) AS i

Troubleshooting

Error or symptom	What it means	What to do
`The date can't be earlier than 6 months ago`	Shopee caps the query window at six months.	Move the stream’s initial sync date inside the window.
The authorization restarts and never completes	The flow was interrupted, usually by reloading the page or switching the interface language midway.	Complete the authorization in a single tab without switching the language.
A regional endpoint error	The shop belongs to a different region than the one configured.	Select the API URL that matches your shop’s region. See Regional API Endpoints.

Skills for agents

Download Shopee skills file

Shopee connector documentation as plain markdown, for use in AI agent contexts.

Get started

Context

Activate

Workspace

Resources

Shopee as a data source

Configuring Shopee as a Source

1. Add account access

2. Select streams

3. Configure data streams

4. Configure data source

5. Check your new source

Streams and Fields

Available streams

Fields by stream

Use Cases for Data Analysis

1. Product Performance Overview

2. Order Status Analysis

Implementation Notes

Troubleshooting

Skills for agents

Download Shopee skills file

​Configuring Shopee as a Source

​1. Add account access

​2. Select streams

​3. Configure data streams

​4. Configure data source

​5. Check your new source

​Streams and Fields

​Available streams

​Fields by stream

​Use Cases for Data Analysis

​1. Product Performance Overview

​2. Order Status Analysis

​Implementation Notes

​Troubleshooting

​Skills for agents

Download Shopee skills file

Configuring Shopee as a Source

1. Add account access

2. Select streams

3. Configure data streams

4. Configure data source

5. Check your new source

Streams and Fields

Available streams

Fields by stream

Use Cases for Data Analysis

1. Product Performance Overview

2. Order Status Analysis

Implementation Notes

Troubleshooting

Skills for agents