Retail pricing and availability monitoring
Adidasエンドポイントを使えば、「Retail pricing and availability monitoring」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
Turn Adidas.com's public storefront into structured retail data — keyword product search or category browse with real pagination and sort options, full product detail per SKU (pricing, description, images, every purchasable size), and a store locator with per-store detail (hours, phone, in-store services), all as normalized JSON. Credential-free.
Search and browse Adidas products, get full product detail, and find nearby Adidas stores as structured JSON.
エンドポイントファミリー
5
ドキュメント化されたパラメータ
15
サンプル数
0
ライブカタログスナップショット
稼働エンドポイント
5
メソッド
GET
必須パラメータ
10
スキーマ参照
5
{
"platform": "Adidas",
"endpoint": "adidas-search",
"method": "GET",
"path": "/adidas/search",
"auth": "apiKey"
}ユースケース
Search and browse Adidas products, get full product detail, and find nearby Adidas stores as structured JSON.
Adidasエンドポイントを使えば、「Retail pricing and availability monitoring」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
Adidasエンドポイントを使えば、「Product catalog research」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
Adidasエンドポイントを使えば、「Store locator and footprint mapping」をドキュメント化された入力とJSONレスポンスによる再現可能なAPIリクエストに変えられます。
マネージド実行
各CrawloraプラットフォームAPIは、特定のデータサーフェスに合わせて設計されています。汎用的なfetchエンドポイントを公開する代わりに、エンドポイント固有のリクエストロジック、マネージドインフラ、パース、正規化、課金、そしてPlaygroundで検証済みのサンプルを組み合わせています。
対象プラットフォームとエンドポイントの種類に合わせてリクエスト挙動をチューニングしています。
対応エンドポイントはマネージドプロキシルーティングを利用でき、信頼性を高めながらインフラ運用の手間を減らせます。
JavaScriptレンダリングが必要な動的ページは、マネージドブラウザインスタンス経由で処理できます。
チャレンジページや利用不能な上流レスポンスを検知し、明確に通知します。
結果は生のHTMLではなく、ドキュメント化されたJSONで返されます。
本番統合の前に、DocsとPlaygroundから同じルートをテストできます。
カバレッジマップ
これらのカードは稼働中のエンドポイントカタログから生成されるため、このページはDocsとPlaygroundが使うAPIサーフェスをそのまま反映します。
/adidas/product
/adidas/search
/adidas/store
/adidas/stores
/adidas/suggest
エンドポイントカタログ
/adidas/searchSearches Adidas.com product listings by keyword, or browses a category listing by taxonomy slug, with real pagination and sort options. Exactly one of query or category is required. Returns normalized product summaries (title, price, rating, images, color variants) plus facet filter groups, sort options, and (for category browse) a breadcrumb trail. Keyword search is best-effort relevance, not a guaranteed match: an obscure keyword returns whatever Adidas's own search index surfaces. A genuinely empty keyword search returns an empty product list, and requesting a page beyond the available result pages (or an unknown category) returns a not-found error. Category values are the path segment after /us/ in an Adidas category URL (e.g. women-athletic_sneakers); they can also be read from the url fields of a search/category response's own filters and breadcrumbs.
/adidas/productReturns normalized product-detail data for one Adidas SKU: name, brand, category, description, pricing (current/standard/sale), images, and every purchasable size variant. product_id is the Adidas SKU (e.g. JI0397), taken from a search result's products[].id field or the trailing segment of an Adidas product page URL. An unknown product_id returns a not-found error.
/adidas/suggestReturns the top matching products for a partial query, the same search-as-you-type preview Adidas's own search box shows. Adidas has no separate term-autocomplete index, so each suggestion is a matching product (id, title, url, image, price) rather than a completed search phrase. Best-effort relevance: an obscure query returns whatever Adidas's own search surfaces.
/adidas/storesReturns Adidas physical retail stores nearest to a coordinate, sourced from Adidas's own store-finder API: name, address, phone, coordinates, distance in miles, opening hours, and in-store feature flags. lat and lng are both required. Adidas's upstream ignores a caller-supplied radius and returns the nearest ~20 stores ordered by distance. A location with no stores returns an empty list rather than an error.
/adidas/storeReturns normalized detail for one Adidas retail store: name, status, phone, description, full address, coordinates, opening hours, and in-store services (e.g. Click and Collect, Free Wi-Fi). store_id is the numeric Adidas store id, taken from an adidas-stores response's stores[].id field. An unknown store_id returns a not-found error.
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Adidasのスクレイピング方法
Crawlora's Adidas endpoints return product search/browse, product detail, and store locator data as normalized JSON with one API key — no Adidas account required.
Send a keyword to /adidas/search, or a category taxonomy slug to browse a listing instead, both with real pagination and sort options — normalized product summaries, facet filters, and sort options.
Pass a product_id (SKU) from a search result's products[].id field to /adidas/product for pricing, description, images, and every purchasable size variant.
Pass lat/lng to /adidas/stores for the nearest Adidas retail stores, nearest-first, with hours, phone, and in-store service flags.
Pass a store_id from a /adidas/stores result to /adidas/store for that store's full detail — status, description, opening hours, and services.
Send a partial query to /adidas/suggest for the same search-as-you-type product preview Adidas's own search box shows.
FAQ
Send a keyword to Crawlora's /adidas/search endpoint and get normalized product summaries — pricing, sizes, color variants — as structured JSON, no Adidas account required.
Yes — pass a category taxonomy slug to /adidas/search instead of a query for the same paginated listing shape, including a breadcrumb trail.
Pass latitude and longitude to /adidas/stores for the nearest stores, each with its own distance, hours, phone, and in-store service flags.
No — an obscure query returns whatever Adidas's own search index surfaces as a best-effort relevance match, not a guaranteed match, the same caveat as other major retail search APIs.