Shipment-level import records across 200+ countries. Search by HS code or product, filter by market, and get a ranked list of active importers with volumes and prices.
Build a buyer list from companies already importing your HS code.
Track downstream demand and spot new markets opening up.
Match a supply position to live buying activity in minutes.
Quantify demand with shipment counts instead of survey estimates.
See which lanes and ports carry the volume you want to win.
Verify declared trade activity when underwriting a counterparty.
Import data is the customs record of goods entering a country. It names the importer, the overseas supplier, the HS code, the quantity, the declared value and the ports used.
Every importer in the record is, by definition, already buying your product category. Filter by HS code and country and you have a prospect list built from proven purchasing behaviour.
Yes. It is compiled from customs filings and shipping manifests that are published or obtainable as public records in the jurisdictions we cover.
Declared unit values and total values are included wherever the customs authority publishes them, which covers the large majority of our markets.
An import declaration exists because an administration needed to assess duty. Every field on it serves that purpose: the classification determines the rate, the value determines the base, the quantity supports the value, the origin determines whether preference applies. Nothing on it was collected because it would be commercially interesting, which is precisely why it is trustworthy — the incentives around it are regulatory rather than promotional.
That also defines its limits. There is no field for margin, none for contract terms, none for the end customer beyond the declared consignee, and nothing at all about goods that did not cross a border. An import record is an excellent answer to ‘who is buying this, in what quantity, from where, at what declared value’ and silent on almost everything else.
Every importer in the record is already buying the category. No directory can offer that qualification.
Which origins already supply a buyer, and how concentrated that is — which tells you what you would be displacing.
Declared unit values across origins, read as a band, which is the only credible external price reference most categories have.
New origins, new products and volume shifts, visible on the reporting lag rather than on an announcement.
The classification comes first, because every downstream filter and figure depends on it. Then the market, filtered to what you can actually service — certification, logistics and price all have to work before volume means anything. Then behaviour: frequency and recency rather than size. Then the price band. Running those four in that order turns thousands of rows into a shortlist you can work; running them in any other order produces a long list of names you cannot act on.
| Filter | Removes | Leaves you with |
|---|---|---|
| Tariff line | Everything that is not your product | A category, still far too large |
| Serviceable market | Markets you cannot certify or reach | An addressable set |
| Repeat behaviour | Projects, one-offs and lapsed buyers | Operating requirements |
| Price band | Accounts below your floor | Prospects you can actually supply |
Where an administration did not publish a field, the record shows a blank. It is never estimated and never silently filled, because an inferred counterparty is indistinguishable from a real one in every calculation downstream.
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 entering a country — the importer, the overseas supplier, the HS code, the product description, the quantity, the declared value and the ports used on each consignment.
Filter to your tariff line, then to markets you can service, then rank on shipment frequency and recency rather than on size, then check the declared unit value band before contacting anyone.
It depends on the jurisdiction. Some administrations publish both counterparties, some publish one, and some publish aggregates only. Where a name is not published we leave the field blank rather than inferring it.
You can see the declared value and quantity, and therefore the unit value. That is an assessable value constructed under valuation rules, not an invoice, so treat it as a strong prior rather than a price.
Multi-year history is available for the detailed markets, which is what makes trend and seasonality analysis possible. Three years is the practical minimum for reading a pattern.