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Merchant API - Content API for Shopping 的正式替代方案。
update
获取最新资讯，了解 Merchant API 的新功能、问题修复和更新。
add_alert
注意：Content API for Shopping 将于 2026 年 8 月 18 日停用。
确定热门商品
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
您可以使用畅销商品报告查看 Google 购物和购物广告中的畅销商品。您可以使用此报告中的信息来了解哪些商品在 Google 上卖得好，以及您目前是否销售这些商品。
如需了解详情，请参阅畅销商品报告简介。
您的账号必须符合最低资格要求，并且您必须确保您或任何第三方在使用从您的 Merchant Center 账号中导出的市场洞察数据时，遵守 Merchant Center 条款及条件。
查询 BestSellersProductClusterView 可查看 Google 上的畅销商品。
以下是一个示例，可用于查看畅销商品。如需发出请求，请将以下 Merchant Center 查询语言语句传递给 reports.search 方法：
SELECT
best_sellers.report_date, best_sellers.report_granularity,
best_sellers.country_code, best_sellers.category_id,
best_sellers.rank, best_sellers.previous_rank,
best_sellers.relative_demand, best_sellers.previous_relative_demand,
best_sellers.relative_demand_change,
product_cluster.title, product_cluster.brand, product_cluster.category_l1,
product_cluster.category_l2, product_cluster.category_l3,
product_cluster.variant_gtins, product_cluster.inventory_status,
product_cluster.brand_inventory_status
FROM BestSellersProductClusterView
WHERE best_sellers.report_date = '2022-10-10'
AND best_sellers.report_granularity = 'WEEKLY'
AND best_sellers.country_code = 'US'
AND best_sellers.category_id = 166
ORDER BY best_sellers.rank
您可以更改 WHERE 子句中的值，以针对其他日期、粒度、国家/地区和类别自定义报告。
运行
点击运行，即可在 API Explorer 中试用该示例。点击运行后，请将请求网址中的商家 ID 占位符更新为您自己的商家 ID。您可以修改查询。完整查询必须保持在一行中，才能与 API 浏览器搭配使用。
以下是上述查询的示例回答：
{
"results": [
{
"bestSellers": {
"reportDate": "2022-10-10",
"reportGranularity": "WEEKLY",
"countryCode": "US",
"categoryId": "166"
"rank": "1",
"previousRank": "1",
"relativeDemand": "VERY_HIGH",
"previousRelativeDemand": "VERY_HIGH",
"relativeDemandChange": "FLAT"
}
"productCluster": {
"title": "Ugg Shoes Ugg Tasman",
"brand": "UGG",
"categoryL1": "Apparel & Accessories",
"categoryL2": "Shoes",
"categoryL3": "",
"variantGtins":
["00737872992873", "00737872992880", "00737872992866"],
"inventoryStatus": "NOT_IN_INVENTORY",
"brandInventoryStatus": "NOT_IN_INVENTORY"
}
},
{
"bestSellers": {
"reportDate": "2022-10-10",
"reportGranularity": "WEEKLY",
"countryCode": "US",
"categoryId": "166"
"rank": "2",
"previousRank": "8",
"relativeDemand": "VERY_HIGH",
"previousRelativeDemand": "HIGH",
"relativeDemandChange": "RISER"
}
"productCluster": {
"title": "UGG Women's s Classic Mini",
"brand": "UGG",
"categoryL1": "Apparel & Accessories",
"categoryL2": "Shoes",
"categoryL3": "",
"variantGtins":
["00194715081314", "00194715081246", "00194715081321"],
"inventoryStatus": "NOT_IN_INVENTORY",
"brandInventoryStatus": "NOT_IN_INVENTORY"
}
},
{
"bestSellers": {
"reportDate": "2022-10-10",
"reportGranularity": "WEEKLY",
"countryCode": "US",
"categoryId": "166"
"rank": "3",
"previousRank": "2",
"relativeDemand": "VERY_HIGH",
"previousRelativeDemand": "VERY_HIGH",
"relativeDemandChange": "FLAT"
}
"productCluster": {
"title": "Crocs Classic",
"brand": "Crocs",
"categoryL1": "Apparel & Accessories",
"categoryL2": "Shoes",
"categoryL3": "",
"variantGtins":
["00887350811209", "00191448903852", "00191448769090"],
"inventoryStatus": "NOT_IN_INVENTORY",
"brandInventoryStatus": "OUT_OF_STOCK"
}
}
]
}
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-08-13。
[null,null,["最后更新时间 (UTC)：2025-08-13。"],[[["\u003cp\u003eThe Merchant API is the new version of the Content API for Shopping and represents the future of product data integration.\u003c/p\u003e\n"],["\u003cp\u003eUse the \u003ccode\u003eBestSellersProductClusterView\u003c/code\u003e query and the \u003ccode\u003ereports.search\u003c/code\u003e method to retrieve a report of the best-selling products on Google Shopping.\u003c/p\u003e\n"],["\u003cp\u003eThe report provides insights into product rankings, demand levels, and inventory status, allowing merchants to make informed decisions about their product offerings.\u003c/p\u003e\n"],["\u003cp\u003eCustomize the report by specifying the date, granularity, country, and category in the query's \u003ccode\u003eWHERE\u003c/code\u003e clause.\u003c/p\u003e\n"],["\u003cp\u003eReview the provided sample query and response to understand the structure and data available in the best sellers report.\u003c/p\u003e\n"]]],["The document introduces the Merchant API beta, the new version of the Content API for Shopping. It details how to use the \"best sellers\" report, accessible via the `BestSellersProductClusterView` query, to identify top-performing products on Google Shopping. Users can customize the report by date, granularity, country, and category. A sample query and response are provided, illustrating data on product rank, demand, and inventory status. Merchant accounts must meet eligibility requirements.\n"],null,["# Identify top products\n\nYou can use the [best sellers](//support.google.com/merchants/answer/9488679)\nreport to view the best-selling products on Google Shopping and in Shopping ads. You can use the information from this report to understand which products are performing well on Google, and whether you currently carry them.\n\nSee [About the best seller report](//support.google.com/merchants/answer/9488679) for more information.\n\n\nYour account must meet minimum eligibility requirements, and you must ensure that your use, or any third party's use, of Market Insights data exported from your Merchant Center account complies with the [Merchant Center terms and conditions](//support.google.com/merchants/answer/160173).\n\nQuery\n[`BestSellersProductClusterView`](/shopping-content/guides/reports/fields#bestsellersproductclusterview) to view the best-selling products on Google.\n\nHere's a sample you can use to view best-selling products. To make the request, pass the following Merchant Center Query Language statement to the [`reports.search`](/shopping-content/reference/rest/v2.1/reports/search) method: \n\n```gdscript\nSELECT\n best_sellers.report_date, best_sellers.report_granularity,\n best_sellers.country_code, best_sellers.category_id,\n best_sellers.rank, best_sellers.previous_rank,\n best_sellers.relative_demand, best_sellers.previous_relative_demand,\n best_sellers.relative_demand_change,\n product_cluster.title, product_cluster.brand, product_cluster.category_l1,\n product_cluster.category_l2, product_cluster.category_l3, \n product_cluster.variant_gtins, product_cluster.inventory_status, \n product_cluster.brand_inventory_status\nFROM BestSellersProductClusterView\nWHERE best_sellers.report_date = '\u003cvar class=\"edit\" translate=\"no\"\u003e2022-10-10\u003c/var\u003e'\n AND best_sellers.report_granularity = '\u003cvar class=\"edit\" translate=\"no\"\u003eWEEKLY\u003c/var\u003e'\n AND best_sellers.country_code = '\u003cvar class=\"edit\" translate=\"no\"\u003eUS\u003c/var\u003e'\n AND best_sellers.category_id = 166\nORDER BY best_sellers.rank\n```\n\nYou can change the values in the `WHERE` clause to customize the report for\nother dates, granularities, countries, and [categories](//support.google.com/merchants/answer/6324436).\n\n[Run](https://developers.google.com/shopping-content/reference/rest/v2.1/reports/search?apix=true&apix_params=%7B%22merchantId%22%3A0%2C%22resource%22%3A%7B%22query%22%3A%22SELECT%20%20best_sellers.report_date%2C%20best_sellers.report_granularity%2C%20%20best_sellers.country_code%2C%20best_sellers.category_id%2C%20%20best_sellers.rank%2C%20best_sellers.previous_rank%2C%20%20best_sellers.relative_demand%2C%20best_sellers.previous_relative_demand%2C%20%20best_sellers.relative_demand_change%2C%20%20product_cluster.title%2C%20product_cluster.brand%2C%20product_cluster.category_l1%2C%20%20product_cluster.category_l2%2C%20product_cluster.category_l3%2C%20%20%20product_cluster.variant_gtins%2C%20product_cluster.inventory_status%2C%20%20%20product_cluster.brand_inventory_status%20FROM%20BestSellersProductClusterView%20WHERE%20best_sellers.report_date%20%3D%20%272022-10-10%27%20%20AND%20best_sellers.report_granularity%20%3D%20%27WEEKLY%27%20%20AND%20best_sellers.country_code%20%3D%20%27US%27%20%20AND%20best_sellers.category_id%20%3D%20166%20ORDER%20BY%20best_sellers.rank%22%7D%7D)\n\nClick **Run** to try the sample in the **API Explorer** . After you click\n**Run** , update the merchant ID placeholder to your own merchant ID in the\nrequest URL. You can modify the query. The full query must remain on one line to\nwork with the **API explorer**.\n\nHere's a sample response from the preceding query: \n\n {\n \"results\": [\n {\n \"bestSellers\": {\n \"reportDate\": \"2022-10-10\",\n \"reportGranularity\": \"WEEKLY\",\n \"countryCode\": \"US\",\n \"categoryId\": \"166\"\n \"rank\": \"1\",\n \"previousRank\": \"1\",\n \"relativeDemand\": \"VERY_HIGH\",\n \"previousRelativeDemand\": \"VERY_HIGH\",\n \"relativeDemandChange\": \"FLAT\"\n }\n \"productCluster\": {\n \"title\": \"Ugg Shoes Ugg Tasman\",\n \"brand\": \"UGG\",\n \"categoryL1\": \"Apparel & Accessories\",\n \"categoryL2\": \"Shoes\",\n \"categoryL3\": \"\",\n \"variantGtins\":\n [\"00737872992873\", \"00737872992880\", \"00737872992866\"],\n \"inventoryStatus\": \"NOT_IN_INVENTORY\",\n \"brandInventoryStatus\": \"NOT_IN_INVENTORY\"\n }\n },\n {\n \"bestSellers\": {\n \"reportDate\": \"2022-10-10\",\n \"reportGranularity\": \"WEEKLY\",\n \"countryCode\": \"US\",\n \"categoryId\": \"166\"\n \"rank\": \"2\",\n \"previousRank\": \"8\",\n \"relativeDemand\": \"VERY_HIGH\",\n \"previousRelativeDemand\": \"HIGH\",\n \"relativeDemandChange\": \"RISER\"\n }\n \"productCluster\": {\n \"title\": \"UGG Women's s Classic Mini\",\n \"brand\": \"UGG\",\n \"categoryL1\": \"Apparel & Accessories\",\n \"categoryL2\": \"Shoes\",\n \"categoryL3\": \"\",\n \"variantGtins\":\n [\"00194715081314\", \"00194715081246\", \"00194715081321\"],\n \"inventoryStatus\": \"NOT_IN_INVENTORY\",\n \"brandInventoryStatus\": \"NOT_IN_INVENTORY\"\n }\n },\n {\n \"bestSellers\": {\n \"reportDate\": \"2022-10-10\",\n \"reportGranularity\": \"WEEKLY\",\n \"countryCode\": \"US\",\n \"categoryId\": \"166\"\n \"rank\": \"3\",\n \"previousRank\": \"2\",\n \"relativeDemand\": \"VERY_HIGH\",\n \"previousRelativeDemand\": \"VERY_HIGH\",\n \"relativeDemandChange\": \"FLAT\"\n }\n \"productCluster\": {\n \"title\": \"Crocs Classic\",\n \"brand\": \"Crocs\",\n \"categoryL1\": \"Apparel & Accessories\",\n \"categoryL2\": \"Shoes\",\n \"categoryL3\": \"\",\n \"variantGtins\":\n [\"00887350811209\", \"00191448903852\", \"00191448769090\"],\n \"inventoryStatus\": \"NOT_IN_INVENTORY\",\n \"brandInventoryStatus\": \"OUT_OF_STOCK\"\n }\n }\n ]\n }"]]
