US Import Data for China Suppliers: The Complete 2026 Playbook

There is a quiet gold mine sitting in plain sight for anyone sourcing from China: the public record of every ocean shipment that enters the United States. Every time a container crosses into a US port, the Bureau of Customs and Border Protection (CBP) logs the bill of lading, and—thanks to a law first written in 1893 and reinforced by the Tariff Act of 1930—most of that record is public. You can see which Chinese factory shipped the container, which US company received it, what was inside, how much it weighed, and how frequently the shipments recur.

For a buyer trying to verify a Chinese supplier, this is devastatingly useful. Instead of relying on what the factory tells you in WeChat, you can independently confirm whether that factory actually ships to the United States, which US brands trust them with volume, and whether the shipment history is consistent with a real manufacturer or a paper-thin trading shell. Used well, US import data transforms a "he said, she said" supplier conversation into a quiet, evidence-led verification that the supplier cannot talk their way around.

This guide is the working playbook. It covers the legal basis for why this data exists, what a bill of lading actually contains, a head-to-head comparison of the four tools that dominate the market (ImportYeti, Panjiva, ImportGenius, Datamyne), step-by-step workflows for both directions of discovery, how to read shipment volumes, the "private account" problem, and—critically—the limits of what US import data can and cannot tell you. If you're doing serious Chinese supplier research in 2026, this is the chapter that sits between "due diligence basics" and a full paid business credit report.

The Legal Basis: Why Your Supplier's Shipments Are Public

The public availability of US bill-of-lading (BOL) data is not a leak or a gray-market data source. It is the product of a deliberate policy choice, written into US law more than 130 years ago and repeatedly upheld by courts and Congress.

The original statutory hook dates to the Administrative Procedure Act lineage of customs transparency, formalized by the Tariff Act of 1930 (19 U.S.C. §1431). The operative principle is simple: every vessel arriving in US waters must file a manifest declaring what is on board, who shipped it, and who is receiving it. Those manifests are, by default, public records. The theory in 1930—and still today—is that public disclosure of shipments supports fair-trade enforcement, anti-dumping investigations, maritime safety oversight, and competitive markets.

Over the decades, Congress tightened the statute in two directions. First, it gave shippers and consignees the right to request confidentiality for specific shipments, which is how the "private account" category was born (we'll return to this below). Second, it defined exactly which manifest fields are public: shipper name, consignee name, notify party, port of lading, port of discharge, vessel, container number, commodity description, HS code, weight, quantity, and arrival date. Fields like commercial invoice values, banking details, and personally identifying data are not public and never have been.

CBP itself maintains the underlying data through the Automated Manifest System (AMS). Commercial providers like Panjiva, ImportYeti, ImportGenius, and Datamyne license or scrape the data under the same Freedom of Information Act (FOIA) and Tariff Act framework that allows journalists to obtain federal records. The full authority and public record status is documented on the CBP website at cbp.gov.

What this means in practice: when you search a Chinese factory's name and see that they shipped 47 containers of LED fixtures to three US buyers in 2025, you are looking at a lightly processed federal record. The supplier cannot plausibly deny it. The data is clean, consistent, and legally admissible—which is why it has become the backbone of supplier verification for serious international buyers.

China, notably, does not publish its own import/export records at this level of granularity. A few providers reconstruct Chinese export data by triangulating partner-country import records, but the US dataset remains the most complete public window into bilateral trade with China.

What a Bill of Lading Actually Contains

Before you start reading import-data platforms, it helps to know what fields actually exist and which ones carry the signal. A typical master bill of lading record extracted from the AMS feed contains roughly twenty fields. The ones that matter for supplier verification are these.

Shipper name and address. This is the Chinese factory (or the forwarder acting on its behalf). The name may be in English, Pinyin, or a mix. The address typically points to a factory, warehouse, or a forwarder's office in a Chinese port city—Shenzhen, Ningbo, Shanghai, Qingdao, Xiamen, Tianjin, Dalian. When the "shipper" is a forwarder, the data becomes less useful because the forwarder may consolidate shipments from many factories.

Consignee name and address. This is the US buyer—the importer of record. Large brands, distributors, and retailers appear here by their legal entity name, which is often different from their consumer-facing brand. Walmart Inc., Home Depot U.S.A. Inc., Target Corporation, Amazon.com Services LLC, and the various Costco importing entities all appear in the data under their legal names.

Notify party. A secondary contact—usually the buyer's customs broker or 3PL. Less useful for supplier research but occasionally reveals buyer relationships.

Commodity description and HS code. A short free-text description ("LED LIGHT FIXTURES", "WOMENS COTTON T-SHIRTS", "INJECTION MOLDING MACHINE PARTS") plus the international Harmonized System code. Chinese suppliers often describe commodities loosely; the HS code is more reliable if you want to confirm that the supplier ships what they claim to make.

Weight and quantity. Gross weight in kilograms and number of cartons or pieces. Combined with container count, this lets you triangulate realistic production volume.

Container count and type. One container typically equals one bill of lading line. A 40' high-cube container holds roughly 68 cubic meters. Counting containers per month is the cleanest way to gauge a supplier's real US-bound volume.

Vessel name and voyage number, port of lading, port of discharge. Useful for forensic reconstruction of a supply chain but not usually decisive for verification.

Arrival date. The date the vessel discharged in a US port. This is the time-series anchor—you can build monthly or quarterly shipment histograms from it.

Master BOL vs. house BOL. A master BOL is filed by the ocean carrier; a house BOL is filed by a freight forwarder or NVOCC (Non-Vessel Operating Common Carrier) for an individual shipment they consolidated. House BOLs are more granular and typically name the actual factory; master BOLs may only name the forwarder. Good platforms expose both.

Read together, these fields let you answer the four questions that matter most for supplier verification: Does this factory actually ship to the US? Who are their real US customers? How big are their shipments? How recently and how consistently have they shipped?

The 4 Tools Compared: ImportYeti, Panjiva, ImportGenius, Datamyne

Four commercial providers dominate US import-data research. They all draw from the same underlying AMS manifest feed but differ on coverage depth, search interface, historical range, filtering power, and—importantly—price. Here is how they stack up for Chinese supplier verification work in 2026.

Each of these has a place in a supplier-research toolkit. Here is a closer look.

1. ImportYeti — Best Free Tier

ImportYeti (importyeti.com) has, in a short time, become the default free tool for anyone doing US import research. Founded in 2019 specifically to make BOL data accessible to small buyers who couldn't justify a Panjiva subscription, it exposes essentially all the important search features at no cost: search by shipper (Chinese factory), consignee (US buyer), commodity, and HS code; see the full shipment history timeline; drill into individual bills of lading; and export basic data.

The paid tier adds bulk export, saved searches, API access, and advanced filtering. For most buyers verifying an individual Chinese supplier, the free tier is all you need. It is the single most efficient starting point for the "does this factory actually ship to the US?" question and is our default recommendation for new users.

Best for: Amazon sellers, Kickstarter creators, small-to-mid buyers, first-pass verification, founders doing market research.

2. Panjiva — The Enterprise Standard (S&P Global)

Panjiva (panjiva.com), now part of S&P Global Market Intelligence, is the enterprise-grade option. Its dataset is the deepest on the market: not just US BOLs but import/export records from 17+ countries, linked to S&P's broader entity graph, corporate filings, and supply-chain analytics. Panjiva's strength is that when you pull a Chinese supplier record, you can see not only their US shipments but also their EU, UK, and Latin American shipments where data is available, plus the S&P-normalized entity record that flags parent/subsidiary relationships.

Panjiva is priced for enterprise buyers. There is no self-service checkout; pricing starts in the mid five figures annually and scales from there. For a Fortune 500 compliance team or a hedge fund doing supply-chain diligence on a public company, Panjiva is the obvious choice. For a $5M/year importer, it's overkill.

Best for: Enterprise compliance, financial research, supply-chain analytics at global scale, investigative journalism with budget.

3. ImportGenius — The Mid-Market Workhorse

ImportGenius (importgenius.com) sits in the middle of the market. Its subscription plans start at roughly $99/month for the basic tier and scale up based on search volume and feature set. ImportGenius was one of the earliest commercial BOL providers (founded in 2006) and has accumulated a substantial historical archive plus mature tooling around monitoring and alerts.

Its strongest feature for supplier verification is the alert system: you can set a watch on a specific Chinese shipper, and every time they file a new BOL, you get an email. This is useful if you want to track whether a supplier your competitor just signed with is actively shipping, or whether your own supplier is also shipping to rivals.

The search UX is less polished than ImportYeti but the data depth is comparable. Historical range going back to 2006 is an advantage for researching long-established suppliers.

Best for: Mid-market importers, brand-protection teams, trade investigators, competitor-shipment monitoring.

4. Datamyne — The Trade Professional's Platform (Descartes)

Datamyne, owned by Descartes Systems Group, is the choice of trade compliance pros, freight forwarders, and logistics-heavy enterprises. Its differentiator is global coverage: import/export records from 50+ countries, reconstructed where necessary from partner-country data. For a researcher trying to understand a Chinese supplier's full global footprint—not just their US shipments—Datamyne is often the most complete source.

The tradeoff is complexity. Datamyne's interface is built for trained analysts, not casual researchers. Pricing is enterprise-only. Time-to-insight on a specific supplier question is slower than on ImportYeti or ImportGenius.

Best for: Global trade analysts, customs brokers, supply-chain consultants, large enterprise compliance.

Our Practical Recommendation

For a typical buyer verifying a Chinese supplier, the workflow we recommend is: start with ImportYeti's free tier for the first pass. If the supplier has clear US shipments and the data answers your questions, you're done—no subscription needed. If you need deeper historical context, alerts, or multi-country coverage, step up to ImportGenius for mid-market research or Panjiva/Datamyne for enterprise work. This tiered approach keeps costs minimal for most verification tasks while leaving room to escalate.

Step-by-Step: Finding All US Buyers of a Chinese Supplier

The most common use case is forward discovery: you have a Chinese supplier name and want to know who their real US customers are. Here is the workflow that reliably produces a clean list.

Step 1: Get the supplier's exact English name. This is more important than it sounds. Chinese suppliers often present slightly different English names to different audiences—the name on the business license, the Alibaba storefront name, the name used on export documents, and the name printed on export cartons can all differ by a word or two. For import-data search, you need the name used on export documents, which is the name that appears on the bill of lading. The best source is a commercial invoice or packing list from a prior shipment. Failing that, use the name on the Alibaba "company profile" page, which is typically the export name.

Step 2: Search the shipper field. On ImportYeti, paste the name into the shipper search box. The platform will usually auto-suggest normalized variations ("SHENZHEN XYZ LIGHTING CO LTD" vs "SHENZHEN XYZ LIGHTING CO., LTD." vs "SHENZHEN XYZ LIGHTING COMPANY LIMITED"). Select the one that matches and review all variations, because BOL data is messy and the same factory may appear under three spellings.

Step 3: Review the shipment timeline. The platform will show a time-series chart of shipments by month or quarter. Look for a consistent rhythm—suppliers with real, ongoing US business ship regularly. Clusters of shipments followed by long gaps may indicate project-based exports (think promotional products or seasonal goods) or, more suspiciously, a shell operation that was temporarily activated to satisfy a single order.

Step 4: Pull the consignee list. The platform will aggregate all unique US consignees who received shipments from this supplier. This is the single most valuable output: the list of the supplier's actual US customers. Look at the top five by shipment count and container volume.

Step 5: Cross-check the consignees. Are the consignees real, reputable US companies? Search each consignee name to confirm they are a legitimate operating business, not a warehouse-forwarder address or a throwaway LLC. Consignees that look like major retailers, brand-name distributors, or well-known e-commerce companies are strong signals. Consignees that look like small LLCs registered to residential addresses or freight-forwarder warehouses (common indicator: "C/O" or consignee names like "XYZ Logistics Services") may indicate that the supplier is shipping to traders or drop-shippers rather than end brands, which changes the picture.

Step 6: Drill into individual BOLs. For the top two or three consignees, open individual bills of lading to verify product match. If the supplier claims to make, say, industrial injection-molding machines, and the BOLs show "PLASTIC HOUSEHOLD GOODS," that mismatch is a red flag worth probing.

Step 7: Document and save. Export or screenshot the findings and save them with the rest of the supplier verification file. If you're comparing three candidate suppliers, doing this for each produces a side-by-side picture that is often decisive.

Done carefully, this takes 20–40 minutes per supplier and produces a result no factory audit, no reference call, and no Alibaba rating can replicate: an independent, legally grounded record of who the supplier actually does business with.

Step-by-Step: Reverse — Finding All Chinese Suppliers of a US Buyer

The reverse workflow is equally powerful. Instead of starting with a Chinese supplier, you start with a US brand and ask: who are their Chinese suppliers? This is useful for competitive research ("which Chinese factory makes product X for my biggest competitor?"), sourcing inspiration ("who manufactures the product I admire and could I buy from them too?"), and supply-chain mapping ("what's the actual tier-1 footprint of this public company?").

Step 1: Identify the US buyer's legal entity name. Brands file customs entries under their legal entity, not their marketing name. "Anker" ships as "Anker Innovations Limited" or "Anker Technology Co., Ltd." or variations—often under a US subsidiary name. Use the SEC EDGAR database for public companies, or state business-entity registries (Delaware, California, New York are the most common) to find the importing entity.

Step 2: Search the consignee field. On ImportYeti or ImportGenius, search the consignee name. Review all close variations and pick the matching entity. Note that some brands use multiple importing entities—one for West Coast and one for East Coast, or separate entities for different product lines.

Step 3: Review the shipper list. The platform will aggregate all unique Chinese shippers who shipped to this consignee. Sort by container count to see the top suppliers. This is, essentially, a competitor's tier-1 supplier list exposed in the public record.

Step 4: Identify your targets. For your use case, pick the most relevant suppliers. If you're sourcing the same product category, the top shipper by volume is usually a strong lead. Cross-check the factory on Alibaba, on Chinese business registration databases via tools like ChineseCheck, and on the supplier's own website. Assess whether you can realistically engage them as a buyer.

Step 5: Understand the caveats. A big brand's supplier may not take small orders. Some brands have exclusivity arrangements. And the supplier you see on a BOL may actually be a trading company that sits between the real factory and the brand—which you need to investigate before assuming the BOL name is a direct manufacturer. This is one of the highest-leverage reasons to verify "trading company vs. manufacturer" status; our guide on China trading company vs manufacturer walks through the distinction in depth.

The reverse workflow is particularly valuable for private-label brands exploring the space. In a category you're new to, a 15-minute ImportYeti session on the top 3–5 incumbent US brands will produce a list of the 20 factories that collectively make most of the market. That list is the shortlist; the rest is outreach.

What Shipment Volume Tells You: Active vs. Dormant Suppliers

A supplier's shipment history is a surprisingly reliable proxy for business health. Here is how to read the patterns.

Steady monthly shipments to the same 2–5 buyers, 3+ years of history. This is the profile of a healthy, established supplier with real US business. Shipment volume that scales with the buyer's business cycle (e.g., ramp in Q3 for holiday inventory) is even more reassuring.

One or two large buyers with predictable shipments, but everything to those same buyers. This supplier is tightly tied to specific customers. They may be reluctant to take your order if it creates a customer conflict, and if you do work with them, you're small next to their main account. Not a dealbreaker—many excellent factories work this way—but worth understanding.

Erratic shipments, varying consignees, short gaps and long gaps. Possibly a trading company that aggregates orders across many buyers, or a factory shopping spot-market capacity. Higher risk of inconsistent quality and timeline commitment.

Shipments peaking three years ago, then tapering to zero. The factory has lost its US customers. Understand why before proceeding. This could indicate quality issues, a customer bankruptcy, or a strategic pivot to domestic Chinese sales.

Zero US shipments ever, or none in the past 24 months. Major red flag for a supplier that claims to export to the US. The supplier might export to other markets (which US data wouldn't show), or might be an agent rather than a manufacturer, or might be misrepresenting their business. Probe further.

A gradual ramp from one buyer to three to seven over 24 months. Classic growth profile of a factory scaling its US business. Generally a positive signal—someone is finding them and repeat-ordering.

The raw container counts also matter. A factory shipping 4–6 FEU (forty-foot equivalent units) per month is a small-to-mid operator. 20+ FEU per month is mid-to-large. 100+ FEU per month is a serious industrial operator. These numbers vary enormously by product category (a container of steel pipe is very different from a container of fast-fashion t-shirts), but combined with HS code and weight, they give you a reasonable sense of scale.

A Real Example: Reading a Shipment Record

Let's walk through a single record, the way you'd see it on ImportYeti or ImportGenius, and extract the signal.

Arrival Date: 2025-11-14
Port of Discharge: Long Beach, CA
Port of Lading: Yantian, China
Shipper: ZHONGSHAN SUNRISE LIGHTING CO., LTD.
Shipper Address: No. 88 Industrial Road, Guzhen Town, Zhongshan City, Guangdong, China
Consignee: HOME DEPOT U.S.A., INC.
Consignee Address: 2455 Paces Ferry Road NW, Atlanta, GA 30339
Commodity: LED OUTDOOR LANDSCAPE LIGHT FIXTURES
HS Code: 9405.40.8440
Container Count: 3 × 40' HC
Gross Weight: 24,600 kg
Carton Count: 8,420
Vessel: CMA CGM MARCO POLO
Master BOL: COSU8112345678

What does this tell us?

• Real shipper. Zhongshan Sunrise Lighting is located in Guzhen, a Chinese town famous for being the "lighting capital" of China. The city/industry match is consistent with a real lighting factory.
• Real consignee. Home Depot U.S.A. is the legal entity for the well-known US retailer. This is a tier-1 big-box buyer.
• Product match. The commodity (LED outdoor landscape light fixtures) matches the supplier's claimed category. HS 9405.40.8440 is a granular LED-lighting classification—a generic supplier wouldn't have the code this precise unless they routinely ship this category.
• Scale. Three 40' high-cube containers, 24.6 tons, 8,420 cartons. For LED fixtures, this is a meaningful shipment—likely a mid-six-figure purchase order at wholesale prices. If this supplier does one of these per quarter to Home Depot plus smaller shipments to other retailers, they're a credible mid-tier lighting manufacturer.
• Context. If the supplier's shipment history shows five similar shipments to Home Depot over two years, plus shipments to Lowe's, Target, and a few regional distributors, this is a well-established export operation. If this is their only shipment to the US ever, that's a very different story.

One record, read carefully, anchors the verification. A supplier who can't produce shipments like this despite claiming Home Depot as a customer is almost certainly lying.

How to Spot Fake Suppliers with Zero US Shipments

One of the most common supplier scams involves a "factory" that claims extensive US exports but has, in fact, never shipped anything to the US under its own name. Here is how US import data exposes that scam.

Search the supplier's name. Find nothing. This is the primary signal. A supplier claiming US customers should appear in the data. If they don't, there are only three possibilities: (1) they ship everything through a forwarder and the forwarder is the named shipper, (2) they ship to the US but always air freight (which is partially excluded from BOL data), or (3) they don't actually ship to the US. Possibilities 1 and 2 should be verifiable by asking for forwarder or airway-bill documentation. Possibility 3 is the scam.

Ask the supplier for a sample BOL or export invoice. A genuine exporter will have dozens. If they can produce one, search it. You should find the record on ImportYeti within minutes. If the record doesn't match (different consignee, different commodity, different date), the document is likely fabricated.

Check the consignees they name. If the supplier claims "our biggest customer is Walmart," pull Walmart's importing entity on ImportYeti and search. Walmart imports from thousands of Chinese suppliers, all publicly visible. If the supplier's name doesn't appear, they're not a Walmart supplier.

Look for trading-company patterns. A true factory ships under its own name. A trading company shows up with varied commodities across unrelated HS codes (furniture, apparel, housewares, electronics all from the same shipper), because they're aggregating orders from many different actual factories. If the supplier presents as a "factory" but their BOL history reads like a trading company, that's a disqualifier for buyers who care about working with manufacturers directly.

Use this with business registration data. US import data tells you whether they ship; Chinese business registration data tells you whether they're a legal entity at all, what their registered capital is, and whether they have a real operating license. Combining the two is far more powerful than either alone—which is what our full China supplier risk assessment framework walks through.

Fake suppliers almost always fail the US import data test. It is one of the fastest, cheapest, most decisive checks in the entire supplier verification toolkit.

"Private Account" Hidden Shipments: What's Being Hidden

Not every shipment shows up in the public data. Under CBP rules, a shipper or consignee can file a confidentiality request (sometimes called a "Private" or "NVOCC House Bill Confidentiality" request) that removes their name from the public manifest. When you see "PRIVATE ACCOUNT" or "CONFIDENTIAL" in the consignee field, this is what's happening.

Why do companies file for confidentiality? Usually to hide competitively sensitive sourcing arrangements. Apple famously keeps much of its supply chain confidential. Amazon's various private-label programs often file confidentiality. Any brand that considers its supplier list proprietary has an incentive to file.

How does this affect supplier research?

It can obscure a supplier's biggest customer. If a Chinese factory's largest buyer has filed confidentiality, you won't see them. The supplier's shipment history might look smaller than reality.

The shipper side is harder to hide. Shippers can also file confidentiality, but in practice, fewer do. Most of the hidden names are on the consignee side.

You can still see the shipment, just not the name. The BOL still shows container count, weight, commodity, and ports. So the scale of shipping activity remains visible even when a name is hidden. If a Chinese supplier has 40 monthly containers to "PRIVATE ACCOUNT," you still know they're a large exporter—you just don't know the specific buyer.

Confidentiality requests expire. They must be renewed every two years. Sometimes buyers let them lapse, and historical data becomes retroactively visible.

For supplier verification purposes, private-account shipments are a minor friction, not a showstopper. The overall shipment profile—volume, regularity, port patterns, HS codes—remains visible. You lose the specific buyer name but not the underlying activity signal.

US Data Limitations: What It Won't Tell You

US import data is powerful but not complete. Knowing its limits prevents over-confidence in conclusions that the data can't actually support.

Air freight is mostly excluded. Bills of lading are ocean freight documents. Air waybills filed with CBP's Automated Broker Interface are not part of the public AMS manifest feed. For high-value, low-weight categories (semiconductors, electronics components, pharmaceuticals, luxury goods), a meaningful fraction of trade moves by air and is invisible in BOL data. A supplier whose ocean shipments look small might be a big air-freight exporter.

Non-US exports are invisible. If your Chinese supplier exports primarily to Europe, Southeast Asia, Latin America, or the Middle East, US import data shows nothing. Panjiva and Datamyne partially cover other country BOLs; ImportYeti and ImportGenius are US-centric.

Trading companies can blur the actual factory. A forwarder or trading company often appears as the named shipper, concealing which factory actually made the goods. Sometimes the true factory is mentioned in a house BOL that's not in the public feed.

Quality and reliability aren't in the data. BOLs tell you that a supplier shipped, not whether the products arrived on time, met spec, or generated customer complaints. A factory with great BOL history can still ship you a defective container.

Data latency of 2–4 weeks. BOLs become available about 2–4 weeks after the vessel arrives. For most research, this is fine, but if you need real-time tracking, BOL data isn't the tool.

Private-account confidentiality (discussed above).

The data is messy. Supplier names are inconsistently spelled, commodity descriptions vary, and misclassification happens. Good platforms normalize some of this but not all. Always check for spelling variations.

No financial terms. You see volumes, not prices. A supplier that ships 20 containers/month could be earning $400K or $4M depending on category—the BOL doesn't say.

Compliance and sanctions status isn't here. BOL data doesn't tell you whether a supplier is on the UFLPA Entity List, the OFAC Specially Designated Nationals list, or has unresolved administrative penalties in China. You need to run those checks separately.

The practical takeaway: US import data is an essential piece of supplier verification, not the whole thing. It answers specific, narrow questions—does this supplier ship, to whom, how much, how often—and it answers them definitively. But a full verification program has to pair it with Chinese-side business registration data, operational checks, and product-quality validation.

Combining US Data + Chinese Business Registration: The Hybrid Approach

The most powerful supplier research workflows combine US import data with Chinese business registration data. Each answers different questions; together, they produce a high-confidence supplier profile.

US data tells you: is this a real exporter? Do they have real US customers, what volume, what HS code, what frequency.

Chinese business registration data tells you: is this a real Chinese legal entity? Registered capital, date of establishment, legal representative, registered business scope, administrative penalties, court records, IP holdings, shareholder structure, and more.

A typical hybrid verification sequence:

1. Start with the supplier's business license. Confirm the Unified Social Credit Code (USCC), registered capital, legal representative, and business scope against official Chinese registries (SAMR, NECIPS, or via a credit report service). Our how to verify Chinese supplier walks through this first-tier step.
2. Pull their full Chinese business record. Check for administrative penalties, unresolved lawsuits, enforcement actions, and IP ownership. For a complete picture, use a China company credit report.
3. Pull their US import data. Confirm that they actually ship to the US, that the volume and frequency are consistent with a legitimate operation, and that the consignees are credible US businesses. Cross-check commodity descriptions against their claimed product category.
4. Sanity-check both sides against each other. Does the Chinese-side business scope match the US-side HS codes? Does the registered capital match the shipment scale? A factory shipping 20 containers/month of heavy equipment should not have $50,000 in registered capital.
5. Close the loop with Chinese customs data where available. If you want the fullest picture of their export activity—not just US-bound—Chinese customs data adds the other side of the bilateral trade record.

Buyers who run this hybrid verification consistently avoid almost all of the common supplier scams: paper-only shell companies, trading companies misrepresenting themselves as factories, fraudulent references, fabricated shipment documents, and shell-game entity swaps. The cost of the research is small (often under $200 all-in per supplier) relative to the cost of a failed order.

If you're running a larger sourcing program, the hybrid approach scales. You can batch-verify a list of 20 candidate suppliers in a weekend, producing a ranked shortlist that is dramatically better informed than anything you'd get from Alibaba ratings or trade-show business cards.

FAQ

1. Is US import data legal to use?

Yes, entirely. US bill-of-lading data is public record under the Tariff Act of 1930 and related federal statutes. Commercial providers like ImportYeti, Panjiva, ImportGenius, and Datamyne redistribute the data under standard terms. There is no legal or ethical gray area involved in using it for supplier verification.

2. Does this data include all my Chinese supplier's shipments?

No. Ocean freight to the US is well covered. Air freight is largely excluded. Shipments to non-US destinations are invisible in US data (Panjiva and Datamyne partially cover other countries). Shipments with confidentiality requests show as "PRIVATE ACCOUNT." For most Chinese manufacturers selling to the US, the public data covers 70–90% of their US-bound activity; for high-value air-freight categories, coverage can be lower.

3. How current is the data?

There's a latency of roughly 2–4 weeks. A shipment that arrives in Long Beach on November 14 will typically appear in ImportYeti by early December. This is fine for research; it's not suitable for real-time shipment tracking.

4. Can I use US import data to find new suppliers?

Yes—this is one of its most powerful uses. Search a competitor's name as the consignee, and you'll see their tier-1 Chinese suppliers. This is a lawful, legitimate research technique used routinely by sourcing teams, private-label brands, and investors. See the reverse-workflow section above.

5. My Chinese supplier doesn't show up on ImportYeti. Are they fake?

Not necessarily, but it warrants investigation. Possibilities: (a) they export primarily to markets other than the US, (b) they ship through freight forwarders whose names appear instead of theirs, (c) they're a trading company that uses varying entity names, (d) their exports are primarily air freight, or (e) they're misrepresenting their business. Ask for a specific shipment reference and verify it. If they can't produce any BOL documentation, that's a serious red flag.

6. How much does ImportYeti's paid tier cost?

ImportYeti's free tier covers most use cases. Paid plans start at around $30–$50 per month for advanced features like bulk export, saved searches, and API access. Pricing varies and is set by ImportYeti; check importyeti.com for current rates. For most individual buyers, the free tier is sufficient.

7. Is Panjiva worth the enterprise price?

It depends on your use case. For a Fortune 500 compliance team, a hedge fund, or a company doing supply-chain analytics across multiple countries, Panjiva's depth and S&P Global integration are hard to replicate and likely worth the spend. For a mid-market buyer verifying individual Chinese suppliers, ImportYeti or ImportGenius is more than sufficient and dramatically cheaper.

8. Does US import data show the price or invoice value of shipments?

No. Commercial invoice values are not public. You can infer rough scale from container counts, weights, and HS codes, but specific dollar values are not disclosed. Value-based filtering is possible on some platforms by estimating based on commodity category, but it's not a precise measurement.

9. Can Chinese suppliers see that I'm researching them?

No. Import data platforms do not notify the companies being researched. Your searches are private to your account.

Our Research Standards

This guide was prepared by the ChineseCheck Research Team based on direct experience compiling supplier verification reports for international buyers across e-commerce, consumer electronics, apparel, housewares, and industrial goods sectors. We maintain working accounts on ImportYeti, Panjiva, ImportGenius, and Datamyne, and we reference US Customs and Border Protection's own documentation of the Automated Manifest System and Tariff Act framework for the legal and technical background that underpins the public BOL record. Our product directly integrates Chinese business registration data from SAMR (samr.gov.cn) and related government databases, which we pair with US import data in full due diligence reports.

Where specific tool features, pricing ranges, or workflow details are cited in this guide, they reflect the state of the commercial providers and the public record as of April 2026. Import-data platforms evolve their pricing and feature sets frequently; confirm current terms on each provider's website before committing to a subscription.

Key primary sources referenced:

1. US Customs and Border Protection (CBP), cbp.gov — statutory authority, Automated Manifest System documentation, confidentiality request rules
2. Tariff Act of 1930, 19 U.S.C. §1431 — public manifest disclosure basis
3. ImportYeti, importyeti.com — free-tier BOL research platform
4. Panjiva (S&P Global Market Intelligence), panjiva.com — enterprise trade data platform
5. ImportGenius, importgenius.com — mid-market BOL platform with alerting
6. Datamyne (Descartes), descartes.com/datamyne — global trade data platform

Related Guides

These companion guides extend this one in the directions most readers care about:

• China Customs Data: How to Read It for Supplier Verification — the other side of the bilateral trade record.
• China Supplier Risk Assessment Framework — the scoring methodology that wraps US data into a full supplier score.
• How to Verify a Chinese Supplier — the tier-1 verification foundation that sits underneath all of this.
• China Trading Company vs Manufacturer — critical context for interpreting BOL shipper fields.
• How to Find Chinese Suppliers — sourcing workflows that start from reverse US-import-data discovery.
• China Company Credit Report Explained — the full credit file you pair with US import data.

Conclusion: The Quietest, Strongest Verification Signal You Have

Most supplier verification advice focuses on things the supplier can control: their Alibaba rating, the photos they send you, the references they offer, the story they tell about their US customers. US import data is different. It's a record the supplier cannot edit, cannot hide (mostly), and cannot fabricate. If they ship to the US, they're in the data. If they don't, they aren't. This asymmetry is what makes it such a powerful verification tool.

The full workflow is not complicated. Start with ImportYeti's free tier. Search the supplier. Look at the shipment timeline, the consignee list, the volumes, and the product categories. Compare what you see to what the supplier told you. If there's a mismatch, ask why. If everything lines up, you've eliminated one of the most common ways Chinese supplier relationships go wrong. Pair that with Chinese-side business registration data and you have a due-diligence foundation stronger than most buyers who have been importing for years.

The buyers who lose money to fake factories, bait-and-switch scams, and trading-company middlemen are almost never the ones who spent 30 minutes on ImportYeti first. The buyers who build lasting, profitable China sourcing relationships almost always are. It's free. It's legal. It's definitive. It should be step three of every new supplier conversation.

For enterprise sourcing programs that need to verify dozens or hundreds of Chinese suppliers with both US import data and Chinese business registration data, our team can scope a batch pilot. Email support@chinesecheck.com to get started.