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ImportYeti Scraper - Bills of Lading & US Import Records

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ImportYeti Scraper - Bills of Lading & US Import Records

Scrape US import bill-of-lading records from ImportYeti. Returns shipment date, BOL numbers, foreign supplier or US consignee details, ports, weights, HS codes, and container counts for any company or supplier profile on the site — 50 of the most recent shipments per target plus a supply-chain summary.

ImportYeti Scraper Features

  • Pulls up to 50 of the most recent bill-of-lading rows per target. That covers arrival date, house + master BOL numbers, carrier SCAC, counterparty name/slug/URL, city, country, weight, quantity, containers, and free-text product description.
  • Extracts HS codes and HS-chapter rollups from the on-page product breakdown.
  • Emits one optional summary record per target — total shipment count, most recent shipment date, top trading partners with shipment counts, and country-level volume.
  • Accepts both US importer (consignee) slugs via companies and foreign supplier (shipper) slugs via suppliers. Slugs, paths (/company/apple), or full URLs all work.
  • Pay-per-event billing at $0.10 per run start plus $0.001 per record. A normal run with a few targets costs pocket change.
  • Handles ImportYeti's Cloudflare edge via residential US proxy — no CAPTCHAs to babysit, no browsers to feed.

What Can You Do With ImportYeti Data?

  • Supplier sourcing — Find every foreign shipper that sold a given product to a US buyer, ranked by shipment volume.
  • Competitive intelligence — See which factories your competitor's products leave from, and how often.
  • Procurement diligence — Verify that a prospective supplier actually ships the volume and category they claim to. The bill of lading doesn't lie.
  • Commodity flow research — Roll shipments up by HS chapter to track import trends for a tariff code or product category.
  • Sales prospecting — Enrich target accounts with shipment frequency, vessel carriers, and supplier networks, then feed the result into a CRM.
  • Tariff exposure analysis — For any importer, list the HS codes and origin countries they rely on, then overlay the current Section 301 rates.

How ImportYeti Scraper Works

  1. Supply one or more ImportYeti slugs under companies (US importers) or suppliers (foreign shippers). A full URL like https://www.importyeti.com/company/apple works just as well as the bare slug apple.
  2. The scraper fetches each target's profile page through a residential US proxy. ImportYeti's Cloudflare edge blocks datacenter IPs, so the proxy is mandatory — we leave it enabled by default.
  3. Each page is parsed for the 50-row shipment table plus the HS-code rollup. If you leave includeSummary on, one extra summary record is emitted with top partners, country splits, and total shipment count.
  4. Records stream into the Apify dataset as they're extracted. Stop anytime with maxItems; it caps total records across every target in the run.

Input

{
    "companies": ["apple", "walmart"],
    "suppliers": ["foxconn-interconnect-technology"],
    "includeSummary": true,
    "maxItems": 500
}
Field Type Default Description
companies array of strings [] ImportYeti company slugs or URLs for US importers (consignees).
suppliers array of strings [] ImportYeti supplier slugs or URLs for foreign shippers.
includeSummary boolean true Emit one extra summary record per target with rollups.
maxItems integer 50 Max total records across all targets. 0 for no cap.
proxyConfiguration object RESIDENTIAL US Apify proxy config. The default (residential US) is also the only reliable option — ImportYeti's CF edge blocks datacenter IPs.

You need at least one entry in companies or suppliers. Empty inputs will fail fast.

Multiple targets in one run

{
    "companies": [
        "apple",
        "https://www.importyeti.com/company/walmart",
        "/company/amazon-com-services"
    ],
    "suppliers": ["apple-fashion"],
    "includeSummary": true,
    "maxItems": 1000
}

ImportYeti Scraper Output Fields

Two record types ride in the same dataset, distinguished by record_type.

Bill-of-lading record

One per row in the 50-row shipment table.

{
    "record_type": "bill_of_lading",
    "target_type": "company",
    "target_slug": "apple",
    "target_url": "https://www.importyeti.com/company/apple",
    "target_name": "Apple",
    "target_address": "578 Aldi Blvd 37, Mount Juliet, Tn 37122, Us",
    "arrival_date": "01/21/2026",
    "bill_of_lading": "SHPT012025121832",
    "master_bill_of_lading": "ZIMUBCN10198564",
    "carrier_code": "ZIMU",
    "counterparty_name": "Galan Textile Machinery Sl",
    "counterparty_slug": "galan-textile-machinery",
    "counterparty_url": "https://www.importyeti.com/supplier/galan-textile-machinery",
    "counterparty_city": "Barcelona",
    "counterparty_country": "Spain",
    "weight_kg": 690,
    "quantity": 2,
    "quantity_unit": "pkg",
    "container_count": 1,
    "product_description": "Double Twisting Machine Bobbins First Twist Overhead Creel Winding Machine",
    "hs_codes": ["8504.40.9999", "8517.62.94", "8471.60.71"],
    "hs_chapters": ["85", "84"],
    "source_url": "https://www.importyeti.com/company/apple",
    "source": "bill_of_lading",
    "scraped_at": "2026-04-19T10:35:49.345Z"
}
Field Type Description
record_type string Always "bill_of_lading" for shipment rows.
target_type string "company" (US importer) or "supplier" (foreign shipper).
target_slug string ImportYeti slug for the target.
target_url string Target profile URL on ImportYeti.
target_name string Target display name pulled from the page title.
target_address string Primary address string pulled from the page title.
arrival_date string Shipment arrival date in MM/DD/YYYY.
bill_of_lading string House bill-of-lading number.
master_bill_of_lading string Master BOL number when shown separately.
carrier_code string Carrier SCAC / shipping line ID (e.g. ZIMU, ONEY, HLCU).
counterparty_name string Supplier when target is a company; customer when target is a supplier.
counterparty_slug string Counterparty's ImportYeti slug.
counterparty_url string Counterparty's ImportYeti profile URL.
counterparty_city string Counterparty city.
counterparty_country string Counterparty country.
weight_kg number Shipment weight in kilograms.
quantity number Package count reported on the manifest.
quantity_unit string Unit of quantity — usually "pkg".
container_count number Container count on the shipment.
product_description string Free-text description from the carrier manifest.
hs_codes array of strings HS codes linked from the target's product-breakdown table.
hs_chapters array of strings Distinct HS-code chapters (first two digits).
source_url string URL the record was scraped from.
source string "bill_of_lading".
scraped_at string ISO timestamp when the record was emitted.

Summary record

One per target, emitted when includeSummary is true.

{
    "record_type": "summary",
    "target_type": "supplier",
    "target_slug": "apple-fashion",
    "target_url": "https://www.importyeti.com/supplier/apple-fashion",
    "target_name": "Apple Fashion",
    "target_address": "#9A Lot 5 Ttn25 Street Tan Thoi Nhat Ward District 12 Ho Chi Minh City Vn",
    "total_shipments": 1474,
    "most_recent_shipment_date": "10/25/2019",
    "top_counterparties": [
        "Ao Fashions | United States of America | 1083",
        "The Perfektyming | United States of America | 338",
        "Elim Trade | United States of America | 40"
    ],
    "top_countries": ["Vietnam | 1473"],
    "hs_codes": ["6104.43.2010"],
    "hs_chapters": ["61"],
    "source_url": "https://www.importyeti.com/supplier/apple-fashion",
    "source": "summary",
    "scraped_at": "2026-04-19T10:35:49.345Z"
}
Field Type Description
record_type string Always "summary".
total_shipments number Total shipments reported on the target's page (may be thousands).
most_recent_shipment_date string Most recent shipment date reported on the page.
top_counterparties array of strings Formatted Name | country | shipment_count for the largest trading partners.
top_countries array of strings Formatted Country | shipment_count rollup.
hs_codes, hs_chapters, target_*, source_url, scraped_at various Same meaning as in the BOL records.

BOL-only fields (bill_of_lading, weight_kg, etc.) are empty or null on summary records, and total_shipments and top_* are empty on BOL rows. Filter by record_type to keep the two views separate.

FAQ

How do I scrape ImportYeti?

ImportYeti Scraper accepts one or more company or supplier slugs and walks each profile page. Paste either a slug (apple), a path (/company/apple), or a full URL — the actor normalizes all three. Free-text search is deliberately unsupported; ImportYeti disallows it in robots.txt, and you get better results pasting URLs you actually care about.

How much does ImportYeti Scraper cost to run?

ImportYeti Scraper uses pay-per-event pricing: $0.10 per run start plus $0.001 per record. A run that pulls 500 BOL rows across ten targets lands near $0.60 before Apify compute and proxy costs.

What data can I get from ImportYeti?

ImportYeti Scraper returns 50 recent shipments per target plus an optional rollup — arrival dates, BOL numbers, carrier codes, supplier/consignee names and countries, weights, HS codes, and product descriptions. Deeper history and per-BOL detail pages are behind ImportYeti's own paywall and are out of scope.

Does ImportYeti Scraper need proxies?

ImportYeti Scraper needs residential US proxies. ImportYeti's Cloudflare edge blocks Apify's datacenter IPs on sight, which we found out the way everyone finds out. The input form leaves residential US enabled by default, and that's the configuration we test against.

Can I get more than 50 shipments per company?

ImportYeti Scraper is capped at 50 rows per target because that's what ImportYeti exposes on the free tier. Their paid tier provides deeper history and per-BOL detail, but this scraper does not bypass that paywall.

Need More Features?

Need deeper shipment history, additional fields, or a different supply-chain source? File an issue or get in touch.

Why Use ImportYeti Scraper?

  • Affordable — ~$0.001/record plus a $0.10 start fee. Enough coverage for a week of research without paying five figures for Panjiva.
  • Clean output — Returns flat JSON with consistent field names across both BOL rows and summary records, so you can pipe it straight into a database without writing adapter code.
  • No babysitting — Runs headless through Apify's residential proxy. The only moving part you supply is the list of company or supplier slugs you care about.
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