Cross-Retail IQ
This Batch API dataset helps companies monitor consumer demand and analyze shopper behavior across multiple retailers in a single, unified view.
Historical Data Availability: Up to 36 months of historical data, depending on your subscription plan, the data table and the selected domains
What you can track
Product demand — Track weekly product-page views across multiple retailers (e.g. Amazon, Walmart), with product title, URL, brand, and retailer category. Use it to compare SKU and brand demand within a category and country.
Available tables (vtables)
Cross-Retail procduct views (cross_retail_product_views)
Weekly product-page views for a SKU on a retailer, in a country, inside a Cross Retail category.
Use this URL: https://api.similarweb.com/batch/v5/request-report to make a report request.
Grain: one row per category × country × retailer × SKU × week (Sunday).
Keys
| Cross Retail category id |
| ISO-2 country code |
| Retailer |
| Product SKU on that retailer |
| Sunday week-start ( |
Filters
| Yes |
| List of category ids. Max 100 |
| Yes |
| ISO-2 list, e.g. |
| Yes |
| List of retailers. Max 100 |
| No |
| List of SKUs. Omit to include all SKUs in the selected category × country × retailers |
| No |
| List of brand names. Max 100. Omit to include all brands |
category_ids, retailers, skus, and brands are case-insensitive.
Metrics
| double | Weekly number of product-page views for the product in the selected country |
| string | Product display name as shown on the retailer's site |
| string | Direct URL to the product page on the retailer's site |
| string | Normalized brand name of the product (e.g. Nike, Adidas) |
| string | Retailer category path in |
brand is also a descriptor, so it is present in the file even when it is not listed under metrics.
Example payload
{
"report_query": {
"tables": [{
"vtable": "cross_retail_product_views",
"granularity": "weekly_sunday",
"filters": {
"category_ids": ["YOUR_CATEGORY_ID"],
"countries": ["US"],
"retailers": ["amazon.com", "walmart.com"]
},
"metrics": ["views", "title", "url", "brand", "retail_category_name"],
"start_date": "2026-08-02",
"end_date": "2026-08-30"
}]
},
"delivery_information": {
"response_format": "csv",
"delivery_method": "download_link"
}
}
Narrow to SKUs or brands:
"filters": {
"category_ids": ["YOUR_CATEGORY_ID"],
"countries": ["US"],
"retailers": ["amazon.com"],
"skus": ["B07XYZ1234"],
"brands": ["Nike"]
}
Use latest: true instead of end_date to resolve to the latest available Sunday.
On this page
- Cross-Retail IQ