Supplier and manufacturer discovery
ImportYetiエンドポイントを使えば、「Supplier and manufacturer discovery」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 public ImportYeti trade data into structured company intelligence — search companies and suppliers by name, then pull a full company report with identity fields and headline US customs shipment-volume metrics. Credential-free.
Search ImportYeti companies and suppliers by name and get US customs shipment-volume company reports as structured JSON.
エンドポイントファミリー
2
ドキュメント化されたパラメータ
5
サンプル数
2
ライブカタログスナップショット
稼働エンドポイント
2
メソッド
GET
必須パラメータ
4
スキーマ参照
2
{
"platform": "ImportYeti",
"endpoint": "importyeti-search",
"method": "GET",
"path": "/importyeti/search",
"auth": "apiKey"
}ユースケース
Search ImportYeti companies and suppliers by name and get US customs shipment-volume company reports as structured JSON.
ImportYetiエンドポイントを使えば、「Supplier and manufacturer discovery」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。
ImportYetiエンドポイントを使えば、「Import volume and trade 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。
ImportYetiエンドポイントを使えば、「Supply-chain due diligence」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
以下の数値はすべて、稼働中のImportYetiエンドポイントカタログから取得しています(エンドポイント2件、ドキュメント化されたリクエストパラメータ5個、公開レスポンススキーマ2件)。DocsとPlaygroundが参照しているカタログと同じものです。
ImportYetiのエンドポイントは2件、2つのリクエストファミリーに分類されています(Company、Search)。
これらのImportYetiエンドポイントには5個のリクエストパラメータがドキュメント化されており、うち4個が必須です。統合コードを書く前に入力仕様をすべて確認できます。
2件のImportYetiエンドポイントのうち2件が実際のサンプルレスポンスを、2件がドキュメント化されたレスポンススキーマを備えています。最初のリクエストの前に実データの形に合わせて実装できます。
ImportYetiのエンドポイントは成功時のスキーマに加えてエラーレスポンス(400、404、500、503)もドキュメント化しています。ブロック、レート制限、レコード欠損は空データではなく型付きのエラーとして返ります。
ImportYetiのエンドポイントは2個のホスト型MCPツールとして提供されており、エージェントは同じパラメータと同じJSON契約のまま、追加の実装なしに同じルートを呼び出せます。
カバレッジマップ
/importyeti/company
/importyeti/search
エンドポイントカタログ
/importyeti/searchSearches ImportYeti for companies and suppliers matching a name, returning each match's kind (company or supplier), slug, country, address, and headline shipment stats. A "company" result's slug chains into GET /importyeti/company.
レスポンスに関する注記
- `kind` is empty and `slug` holds the raw upstream value if ImportYeti returns a result URL shape this endpoint doesn't recognize (only `company/{slug}` and `supplier/{slug}` are mapped today). - A genuinely empty result set returns `200` with `"results": []`, not an error.
MCPツール importyeti_search
/importyeti/companyReturns an ImportYeti company report: identity, headline US customs shipment-volume metrics (total shipments, average TEU, last shipment date, estimated shipping spend), its supplier list, and recent bill-of-lading shipment activity.
レスポンスに関する注記
- A response missing the company name is treated as an upstream error (parser drift or a blocked/challenge page), never a `200` with empty data. - `suppliers`, `recent_shipments`, `region_breakdown`, and `hs_codes` may come back empty if ImportYeti's template changes the underlying table structure; other fields are unaffected by that. - `hs_codes` is ImportYeti's own "Top 10" list pulled from recent product descriptions, not a full HS-code-chapter breakdown (that's paid-only on ImportYeti's own page).
MCPツール importyeti_company
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ImportYetiのスクレイピング方法
Crawlora's ImportYeti endpoints return company/supplier search and full company reports as normalized JSON with one API key — no HTML parsing or account required.
Send a company or supplier name to /importyeti/search with an optional page. Each result is tagged with its kind (company or supplier), slug, country and address. The query is required — calling without q returns a 400.
Pass a slug to /importyeti/company. The report is considerably more than identity fields: total_shipments, est_shipping_spend and last_shipment_date, plus a suppliers list, recent_shipments, a region_breakdown of where goods originate, and also_known_as_names and also_known_as_addresses for the aliases a company files under.
The suppliers list and region_breakdown are what make this a supply-chain tool rather than a company directory — you can walk from a brand to the manufacturers shipping to it, then search those suppliers by name to pull their own reports.
Use the report to evaluate a supplier or manufacturer, or re-run on a schedule to track shipment-volume trends over time.
On 2026-10-30 /importyeti/company for target returned total_shipments 7,144, a last_shipment_date of 10/18/2026 in month-first format, and a masked phone (XXX-XXX-X296); /importyeti/search for nike reported 124 hits over 13 pages of 10.
エージェントスキル
Crawlora のエージェントスキルをインストールすると、スクレイパーを書かずに、ドキュメント化された API 経由で ImportYeti のデータを JSON として取得できます。ImportYeti に対応するスキル:
Discover and compare suppliers behind brands using Crawlora's ImportYeti company reports and public business websites. Use for supplier shortlists…
npx skills add github.com/Crawlora-org/crawlora-skills --skill supplier-sourcing-researchAnalyze observed supplier and origin concentration using Crawlora ImportYeti company reports and public company evidence. Use for a sourced…
npx skills add github.com/Crawlora-org/crawlora-skills --skill supply-chain-concentration-analysisGeneral-purpose web-intelligence utilities via the Crawlora API — scrape any URL to clean markdown/HTML, extract schema-conforming JSON from a page…
npx skills add github.com/Crawlora-org/crawlora-skills --skill web-utilities-researchFAQ
Send a company or supplier name to Crawlora's /importyeti/search endpoint and get normalized results — kind, slug, country, and address — as structured JSON.
No ImportYeti account or API key is required from the caller — only your Crawlora API key.
Identity fields (name, address, phone, and the also_known_as_names and also_known_as_addresses a company files under) plus its US customs activity: total_shipments, est_shipping_spend, last_shipment_date, a suppliers list, recent_shipments, and a region_breakdown showing where its goods originate.
Yes, and that is the most useful thing it does. A company report carries a suppliers list alongside a region_breakdown, so you can go from a brand to the manufacturers shipping to it, then feed those supplier names back into /importyeti/search to pull their reports in turn — mapping a supply chain a level at a time rather than looking up one company in isolation.