ImportYeti Supplier Scraper

Finding out who actually ships goods to a company usually means clicking through ImportYeti one supplier at a time. This scraper does it in one pass. Give it an importer slug and you get back the company profile, its full supplier list, shipment counts, HS code mix, and shipping spend, all as clean fields you can drop straight into a spreadsheet or a model. No code, low cost, and you only pay for the profiles you pull.

What you get

Each importer comes back as one row that bundles three kinds of data:

• Company profile — importerName, alternateNames, importerAddress, importerCountry, importerWebsite, profileUrl, importerSlug, and a short profileSummary
• Shipping activity — shipmentsTotal, shipmentsLastYear, shippingSpendUsd, leadSupplierName, leadSupplierCountry, and dataRefreshedOn
• Supplier and trade detail — supplierList (per-supplier shipments, weight, TEU, and country), hsCodeBreakdown (product categories by HS code), and continentBreakdown (shipments grouped by continent)

Quick start

1. Open the importer on importyeti.com and copy the slug from the URL — it's the part after /company/.
2. Hit Try for free and paste the slug into Importer slugs. Add as many as you like.
3. Set a Results limit to cap how many profiles you pull in one run.
4. Press Start, then export the results as JSON, CSV, Excel, or XML.

Use cases

• Supply chain mapping — see who supplies a competitor and how concentrated their sourcing is
• Lead generation — turn a list of importers into a contact sheet of overseas suppliers
• Procurement research — find alternative suppliers already shipping to firms like yours
• Market sizing — gauge import volume by shipment counts, weight, and TEU across continents
• Trade compliance — pull HS code mixes to understand what categories a company brings in

Input

Field	Type	Required	Description
importerSlugs	array of strings	Yes	ImportYeti company slugs to look up, taken from importyeti.com/company/{slug}. Prefilled with target.
resultsLimit	integer	No	How many importer profiles to pull per run. Default 50.
timeoutSeconds	integer	No	Seconds to wait on each request before it times out. Default 45.

Example input

{
    "importerSlugs": ["target", "costco-wholesale"],
    "resultsLimit": 50,
    "timeoutSeconds": 45
}

Output

Every slug becomes one row. The profile fields and headline numbers sit at the top level, with the detailed supplier, HS code, and continent breakdowns nested as arrays. Fields ImportYeti does not publish for a given company come back empty rather than guessed; a row that fails to load carries an errorMessage and keeps the rest of the fields blank.

Example output

{
    "importerSlug": "target",
    "importerName": "Target Corporation",
    "alternateNames": ["Target Stores", "Target Brands Inc"],
    "importerAddress": "1000 Nicollet Mall, Minneapolis, MN 55403",
    "importerCountry": "United States",
    "importerWebsite": "https://www.target.com",
    "profileUrl": "https://www.importyeti.com/company/target",
    "shipmentsTotal": 184302,
    "shipmentsLastYear": 21540,
    "shippingSpendUsd": 48750000.0,
    "leadSupplierName": "Shenzhen Sunrise Industrial Co Ltd",
    "leadSupplierCountry": "China",
    "dataRefreshedOn": "2026-06-01",
    "profileSummary": "Target Corporation is a major U.S. retailer importing home goods, apparel, and electronics from suppliers across Asia.",
    "supplierList": [
        {
            "vendorName": "Shenzhen Sunrise Industrial Co Ltd",
            "vendorAddress": "Bao'an District, Shenzhen, Guangdong",
            "country": "China",
            "countryCode": "CN",
            "shipments12m": 1320,
            "totalShipments": 9870,
            "totalWeightKg": 4521000.0,
            "totalTeu": 1840,
            "hsCodes": ["9503", "6307"],
            "productSample": "Plush toys, textile home decor, seasonal goods",
            "importYetiUrl": "https://www.importyeti.com/supplier/shenzhen-sunrise-industrial"
        }
    ],
    "hsCodeBreakdown": [
        {
            "hsCode": "9503",
            "productCategory": "Toys and games",
            "shipments": 5210,
            "weightKg": 1840000.0,
            "teu": 720
        }
    ],
    "continentBreakdown": [
        {
            "continent": "Asia",
            "totalShipments": 158900
        }
    ],
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
importerSlug	string	The company slug used for the lookup
importerName	string	Registered name of the importing company
alternateNames	array	Other names the company trades under
importerAddress	string	Headquarters or registered address
importerCountry	string	Country the importer is based in
importerWebsite	string	Company website, normalised to a full https URL
profileUrl	string	Link to the ImportYeti profile page
shipmentsTotal	integer	All-time shipment count on record
shipmentsLastYear	integer	Shipments in the trailing 12 months
shippingSpendUsd	number	Estimated shipping spend in US dollars
leadSupplierName	string	Name of the top supplier by volume
leadSupplierCountry	string	Country of the top supplier
dataRefreshedOn	string	Date ImportYeti last refreshed the data
profileSummary	string	Short summary pulled from the page meta description
supplierList	array	Per-supplier rows: name, address, country, shipments, weight, TEU, HS codes, and profile link
hsCodeBreakdown	array	Product categories by HS code with shipment, weight, and TEU totals
continentBreakdown	array	Shipment counts grouped by continent
collectedAt	string	ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason a profile failed to load; null on success

Tips for best results

• Get the slug right. It's the exact text after /company/ in the importyeti.com URL, lowercase with hyphens. A wrong slug returns an errorMessage row.
• Batch your slugs. Drop several into importerSlugs in one run; the actor pauses briefly between profiles to stay polite.
• Use resultsLimit for test runs. Start small to confirm the output fits your pipeline, then raise it for a bigger pull.
• Big importers carry long supplier lists. supplierList is capped at the top 50 suppliers and hsCodeBreakdown at the top 20 codes, so the heaviest profiles stay manageable.
• Raise timeoutSeconds if large profiles occasionally time out.

How can I use ImportYeti supplier data?

How can I use the ImportYeti Supplier Scraper to map a competitor's supply chain? Pass the competitor's slug and read supplierList alongside leadSupplierName and continentBreakdown. You get every supplier on record with shipment counts and countries, so you can see how concentrated or diversified their sourcing really is.

How can I find new overseas suppliers from ImportYeti data? Pull a handful of importers in your category, then pool their supplierList rows. Each carries vendorName, country, and an importYetiUrl, which gives you a ready shortlist of factories already shipping to companies like yours.

How can I export ImportYeti shipment data to a spreadsheet? Run the scraper with your slugs and export to CSV or Excel. Headline numbers like shipmentsTotal, shipmentsLastYear, and shippingSpendUsd land in their own columns, and the nested arrays come through as structured data you can flatten for analysis.

How can I research import volume by HS code? Read hsCodeBreakdown for any importer to see which product categories they bring in, with shipments, weight, and TEU per code. It's a quick way to size a category or check what a company actually ships.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.