# ImportYeti Scraper - US Customs Importer & Supplier Data (`alwaysprimedev/importyeti-scraper`) Actor Pull structured US sea-shipment, importer, and supplier records from ImportYeti.com. Returns company addresses, country-of-origin breakdowns, top HS codes, monthly shipment history, trademarks, and tags. - **URL**: https://apify.com/alwaysprimedev/importyeti-scraper.md - **Developed by:** [Always Prime](https://apify.com/alwaysprimedev) (community) - **Categories:** Automation, Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 71.4% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ๐Ÿšข ImportYeti Scraper โ€” US Customs Importer & Supplier Data [![Apify Actor](https://img.shields.io/badge/apify-actor-blue)](https://apify.com) [![Python](https://img.shields.io/badge/python-3.11-blue)](https://www.python.org/) [![Output](https://img.shields.io/badge/output-JSON%20%7C%20CSV%20%7C%20Excel-green)]() > ๐Ÿค– **Structured supply-chain intelligence in seconds.** Pull every public datapoint from ImportYeti โ€” importer addresses, country-of-origin breakdowns, monthly shipment history, top HS codes, trademarks and tags โ€” straight into a JSON / CSV / Excel dataset. ### โœจ Why this scraper - โšก๏ธ **Fast** โ€” concurrent extraction, 5 records / second under default settings - ๐Ÿ“ฆ **Complete** โ€” every visible field from each company/supplier page in one flat record - ๐Ÿท๏ธ **Both sides of the trade** โ€” US importer "companies" *and* their foreign "supplier" counterparts - ๐ŸŒ **Country-of-origin rollups** โ€” pre-aggregated per country & continent - ๐Ÿ“ˆ **Monthly history** โ€” shipments, weight (kg) and TEU broken down per month - ๐Ÿ” **Incremental mode** โ€” `since:` parameter skips records older than your last run - ๐Ÿงพ **3 export formats** โ€” JSON, CSV, Excel ### ๐Ÿš€ Quick start 1. Click **Try for free** 2. Type a search term (a company name, brand, product, or keyword) โ€” or paste a list of `/company/` / `/supplier/` URLs 3. Hit **Start** and grab a coffee 4. Download the result as JSON, CSV, or Excel from the **Storage** tab ### ๐Ÿ› ๏ธ Input | Field | Type | Description | |---|---|---| | `query` | string | Free-text search term (brand, importer, HS-code keyword) | | `entityType` | enum | `company` (US importer), `supplier` (foreign manufacturer), or both | | `startUrls` | string[] | Optional explicit list of `/company/` or `/supplier/` URLs | | `maxItems` | integer | Hard cap on records; `0` = unlimited (default `50`) | | `since` | datetime | Skip records whose most recent shipment is older than this ISO timestamp | | `concurrency` | integer | Parallel HTTP requests (default `5`, max `25`) | ### ๐Ÿ“ค Sample output ```json { "url": "https://www.importyeti.com/company/apple", "id": "company/apple", "scraped_at": "2026-05-10T20:00:10Z", "type": "company", "title": "Apple", "address": "568 Aldi Blvd, Mount Juliet, Tn 37122, Us", "country_code": "US", "phone_number": "XXX-XXX-X000", "website": "apple.com", "other_names_count": 2, "other_addresses_count": 89, "most_recent_shipment": "01/21/2026", "total_sea_shipments": 2449, "total_shipping_cost": 101746.81, "shipping_cost_coverage": 2.69, "avg_teu_per_month": 0.39, "avg_teu_per_shipment": 0.77, "database_updated": "05/06/2026", "multi_address": true, "dataset": "us", "uflpa": false, "location": { "state": "Tennessee", "county": "Wilson County", "city": "Mount Juliet", "district": "Mount Juliet" }, "tags": [ { "tag": "puter", "shipments": 617 }, { "tag": "computer", "shipments": 617 }, { "tag": "lithium", "shipments": 388 } ], "trademarks": [{ "name": "Apple", "trademarks_count": 1620 }], "imports_per_country": [ { "country": "China", "continent": "Asia", "shipments": 2292 }, { "country": "Hong Kong", "continent": "Asia", "shipments": 62 }, { "country": "Vietnam", "continent": "Asia", "shipments": 37 }, { "country": "Germany", "continent": "Europe", "shipments": 11 } ], "top_hs_codes": ["8504.40","8517.62","8471.30","8544.42","8473.30"], "shipments_time_series": [ { "period": "01/01/2024", "shipments": 32, "weight": 89421, "teu": 84 }, { "period": "01/02/2024", "shipments": 41, "weight": 117850, "teu": 102 } ] } ```` ### ๐Ÿ’ผ Use cases | Who | What for | |---|---| | **Procurement teams** | Find alternative suppliers for components shipped from specific countries | | **B2B sales** | Build prospect lists by HS code, trade volume, or country of origin | | **Market research** | Quantify competitor sourcing strategies โ€” who buys what, from where, how often | | **Investment analysts** | Track import volume as a leading indicator for retail / consumer-goods companies | | **Logistics & freight** | Identify high-volume lanes and consolidation opportunities | | **Trade compliance** | Screen suppliers against UFLPA and other forced-labour flags | ### ๐Ÿ’ก Tips & tricks - **Free-text queries** match titles, addresses and aliases โ€” `"apple"` returns 27 hits across companies and suppliers, not just Apple Inc. - For **company-only** datasets, set `entityType: "company"`. Suppliers are foreign manufacturers and have a different shape (no trademarks, often no website). - The **`since` filter** uses the *most recent shipment* date on each record โ€” perfect for nightly incremental runs. - **Want comparable competitors?** Run one query per company name, then merge โ€” each result carries a `tags` array you can use for affinity clustering. - Large runs (10k+ records) benefit from `concurrency: 10` and unlimited `maxItems: 0`. ### โ“ FAQ **Q: What data is in each record?** A: Every field shown in the sample above โ€” importer name, primary and alternate addresses, phone, website, total sea-shipment count, country-of-origin breakdown, top HS codes, monthly time series, trademarks and keyword tags. **Q: How fresh is the data?** A: ImportYeti's database update timestamp travels with each record in the `database_updated` field, so you always know how recent the underlying customs data is. **Q: Can I get individual shipment-level records?** A: This actor returns the public aggregated view (count + breakdowns + monthly history). Individual bill-of-lading records aren't part of the public page surface. **Q: Will this work for non-US companies?** A: Yes โ€” the dataset itself is US sea imports, so US-side companies are *importers* and foreign-side companies are *suppliers*. Both show up. **Q: How are records de-duplicated?** A: By the canonical `id` field (`company/` or `supplier/`) โ€” the same company appearing on multiple search pages or via multiple `startUrls` is pushed once. **Q: What happens if a search slug doesn't have a real page?** A: ImportYeti's search occasionally surfaces orphan slugs. The actor detects and silently skips them โ€” they don't count against your run. ### ๐Ÿ“Š Output Three checkmarks live in the Storage tab โ€” the dataset is exportable as **JSON**, **CSV**, and **Excel** out of the box. Use the *Open in Apify Console* link for an interactive table view with filtering and sort. *** ๐Ÿ›Ÿ **Found a bug or want a field that's missing?** Open an issue from the actor page โ€” we ship fixes fast. # Actor input Schema ## `query` (type: `string`): Free-text search term used to find companies or suppliers on ImportYeti (e.g. a brand name, importer name, product, or HS-code keyword). Leave empty if you supply Start URLs directly. ## `entityType` (type: `string`): Restrict search results to either US importers (companies) or foreign manufacturers (suppliers). Leave empty to return both. ## `startUrls` (type: `array`): Optional list of importyeti.com URLs to scrape directly. Accepts /company/ or /supplier/. Use this for incremental runs over a known list of companies you already care about. ## `maxItems` (type: `integer`): Hard cap on the number of company/supplier records pushed to the dataset. Set 0 for unlimited (the run will stop when search results run out). ## `since` (type: `string`): Incremental mode. Provide an ISO-8601 timestamp (e.g. 2026-01-01T00:00:00Z) and the actor will skip detail fetches for companies whose most recent shipment is older than this date. Leave empty to scrape everything matching the query. ## `concurrency` (type: `integer`): Maximum number of parallel HTTP requests to ImportYeti. Higher = faster but more likely to trigger rate limits. Defaults to 5; cap is 25. ## Actor input object example ```json { "query": "apple", "entityType": "", "startUrls": [], "maxItems": 50, "concurrency": 5 } ``` # Actor output Schema ## `records` (type: `string`): All importer & supplier records as a JSON array. ## `recordsCsv` (type: `string`): Same data as a CSV spreadsheet โ€” nested fields flattened. ## `recordsXlsx` (type: `string`): Same data as an .xlsx workbook. ## `consoleView` (type: `string`): Browse, filter, and re-export the dataset interactively in the Apify Console. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "apple", "startUrls": [], "since": "" }; // Run the Actor and wait for it to finish const run = await client.actor("alwaysprimedev/importyeti-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "apple", "startUrls": [], "since": "", } # Run the Actor and wait for it to finish run = client.actor("alwaysprimedev/importyeti-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "apple", "startUrls": [], "since": "" }' | apify call alwaysprimedev/importyeti-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=alwaysprimedev/importyeti-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ImportYeti Scraper - US Customs Importer & Supplier Data", "description": "Pull structured US sea-shipment, importer, and supplier records from ImportYeti.com. Returns company addresses, country-of-origin breakdowns, top HS codes, monthly shipment history, trademarks, and tags.", "version": "0.1", "x-build-id": "4cfSNp7AWRVzkKdsw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alwaysprimedev~importyeti-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alwaysprimedev-importyeti-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/alwaysprimedev~importyeti-scraper/runs": { "post": { "operationId": "runs-sync-alwaysprimedev-importyeti-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/alwaysprimedev~importyeti-scraper/run-sync": { "post": { "operationId": "run-sync-alwaysprimedev-importyeti-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "query": { "title": "Search query", "type": "string", "description": "Free-text search term used to find companies or suppliers on ImportYeti (e.g. a brand name, importer name, product, or HS-code keyword). Leave empty if you supply Start URLs directly." }, "entityType": { "title": "Entity type", "enum": [ "", "company", "supplier" ], "type": "string", "description": "Restrict search results to either US importers (companies) or foreign manufacturers (suppliers). Leave empty to return both.", "default": "" }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional list of importyeti.com URLs to scrape directly. Accepts /company/ or /supplier/. Use this for incremental runs over a known list of companies you already care about.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum results", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Hard cap on the number of company/supplier records pushed to the dataset. Set 0 for unlimited (the run will stop when search results run out).", "default": 50 }, "since": { "title": "Only include records updated after", "type": "string", "description": "Incremental mode. Provide an ISO-8601 timestamp (e.g. 2026-01-01T00:00:00Z) and the actor will skip detail fetches for companies whose most recent shipment is older than this date. Leave empty to scrape everything matching the query." }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 25, "type": "integer", "description": "Maximum number of parallel HTTP requests to ImportYeti. Higher = faster but more likely to trigger rate limits. Defaults to 5; cap is 25.", "default": 5 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```