Global export records covering 200+ countries. See who is shipping your product, where it goes, in what volume, and at what declared price.
Separate real manufacturers and exporters from resellers and directory listings that have never shipped.
A supplier shipping monthly at scale is a different risk from one with two shipments last year.
See which countries a supplier already serves, and whether they meet the standards those markets demand.
Benchmark unit values across candidate suppliers before you open a negotiation.
Confirm the exporter actually specialises in your HS code rather than trading it occasionally.
Understand the ports they ship from and the routes available.
Export data is the customs record of goods leaving a country — the exporter, the overseas buyer, the HS code, quantity, declared value and ports.
Search your HS code and the origin country you want to buy from. Every exporter returned is actively shipping that product, and you can rank them by shipment count and value before you make contact.
Yes. Check that the company appears in the record, at the volume and product mix it claims, over a consistent period.
In most markets, yes. Where the customs authority masks consignee names, the shipment, product and value detail is still published.
Import data answers who is buying. Export data answers who can supply, and it does so with a property that no supplier questionnaire can match: the history is behavioural rather than declarative. A company either shipped, repeatedly, to demanding markets, over years — or it did not, and that cannot be arranged retrospectively.
| Signal | Strong | Weak |
|---|---|---|
| Years of history | Three or more, uninterrupted | Under a year, or long gaps |
| Destination count | Several markets, including regulated ones | A single destination |
| Consignment size | Stable and near your order size | Erratic, or far from your requirement |
| Product concentration | Your line is core to their mix | Your line is incidental |
| Recent activity | Shipments in the last complete period | Nothing recent, unexplained |
| Input trail | Related-chapter imports supporting production | Exports with no matching inputs |
The record does not label a company. Its behaviour does. A manufacturer typically imports inputs under related chapters and exports finished goods with volumes stable enough to imply a production process. A merchant exports across unrelated chapters with no matching input trail. Neither is disqualifying — merchants carry credit, consolidation and compliance work that factories often will not — but their cost structures and their ability to commit capacity are different, and terms should reflect which you are dealing with.
Exporters read their own side of the record too, and the most useful thing it shows is the competition. Which other origins ship your product into your target market, at what declared unit values, in what volumes, and whether their share is rising or falling. That is a considerably more concrete competitive picture than most industries have access to, and it is available before you commit to a market rather than after.
A supplier shipping regularly into a strictly regulated market has demonstrably satisfied its requirements. That is stronger evidence than any self-declaration, and it costs nothing to check.
Trade data rewards a short, boring discipline far more than it rewards technique. Four steps cover most of it, and skipping any one of them is where the confident wrong conclusions come from. Fix the classification first, because every filter, every duty figure and every price comparison downstream is keyed to the tariff line and inherits any error in it. Then read at least three years, so that seasonality and trend can be told apart rather than conflated. Then exclude the most recent one or two periods, which are still filling in as late filings arrive. Then separate value from volume, because a value movement can be price, quantity or a change of mix inside the line, and those point in different directions.
| Step | What it prevents | Cost of skipping it |
|---|---|---|
| Confirm the tariff line | Filtering the wrong product | Every downstream figure is wrong by an unknown amount |
| Read three years | Mistaking a season for a trend | Strategy built on a cyclical high or low |
| Drop the incomplete tail | Reading reporting lag as decline | Writing off buyers who never stopped buying |
| Separate value from volume | Reading price as demand | Investing against a movement that was not demand |
| Check the counterparty | Acting on an unverified name | Credit or capacity committed to a company with no history |
| Record the period and source | Unrepeatable analysis | Figures nobody can reconcile three months later |
The material here is one layer of a set that is meant to be used together. The country pages establish the shape of a market from official reported figures. The HS chapter pages take a single classification down to product level. The industry hubs group the chapters that make up a real industry and sum them, because almost no industry is one chapter. The India location pages read the national record as places, using the clearance point as a geographic signal. And the trade role pages take one job at a time — building an importer list, checking an exporter, reading a lane — and set out the signals that matter for it.
Reported totals, partner markets and chapter breakdown for 99 markets.
Learn more ›All 98 chapters, each with the markets that trade it.
Learn more ›Thirty-eight industries, each summed across the chapters it spans.
Learn more ›Seventy-nine trading places, their gateways and their clusters.
Learn more ›The same record read as a buyer list, a supplier check or a lane analysis.
Learn more ›Classification, documentation, pricing, sourcing and compliance in practice.
Learn more ›Customs records cover goods that physically crossed a border and were declared to an authority. They do not cover services. They do not cover domestic trade, so a business selling mainly inside its own market will look far smaller here than it is. They carry no margin, no contract terms, no payment behaviour and no intent. Coverage of counterparty names varies by jurisdiction and is not universal, data arrives on a lag, and published periods are revised as corrections come in.
None of that reduces what the record is good for, and stating it plainly is what makes the rest credible. Used within its limits, customs data is one of the very few commercial sources where the underlying event actually happened, was documented at the time, and was documented under legal obligation rather than for promotional purposes. That is a rare property, and it is worth not overselling.
Before relying on any trade dataset — ours or anyone else's — ask which markets are covered at which depth, what the lag is in each, how company names were matched, and what happens to a historical series across an HS revision. The answers tell you more than any headline figure.
The customs record of goods leaving a country — the exporter, the overseas consignee, the HS code, the product, quantity, declared value and the port of loading.
Look for unbroken history across several years, a spread of destination markets, consignment sizes consistent with your order, activity in the last complete period, and declared values inside a plausible band.
Check both flows for the same company. A manufacturer typically imports inputs under related chapters and exports finished goods steadily; a merchant exports across unrelated chapters with no matching input trail.
Export values are normally declared free on board and exclude onward freight and insurance, which import values include. The gap is definitional rather than a discrepancy.
Yes — the origins shipping into your target market, their declared unit values and their volume trend are all visible, which is a more concrete competitive picture than most industries have.