Sanctions Screening — EU, OFAC & UN | $8/1K avatar

Sanctions Screening — EU, OFAC & UN | $8/1K

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$8.00 / 1,000 results

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Sanctions Screening — EU, OFAC & UN | $8/1K

Sanctions Screening — EU, OFAC & UN | $8/1K

Screen names against official EU, US OFAC and UN sanctions lists, fetched live from the authorities. Each hit returns the programme, legal basis and a link to the official record. Aliases searched, whole-word matching cuts false positives. For KYC, KYB and export compliance.

Pricing

$8.00 / 1,000 results

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5.0

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datawell

datawell

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4 days ago

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Sanctions Screening — EU, US OFAC & UN Lists

Screen names against the official sanctions lists published by the European Union, the US Treasury (OFAC) and the United Nations Security Council. Straight from the authorities, with a link to the legal source on every row.

No API key. No account. No third-party licence.


Why this exists

Anti-money-laundering rules require regulated businesses — banks, insurers, estate agents, notaries, exporters, crypto firms — to check counterparties against sanctions lists before doing business. Enterprise screening tools are priced for enterprises.

This Actor does the lookup on the primary sources: the same CSV and XML files the authorities publish themselves. Every hit carries the programme, the legal basis and a link to the official record — the three things an auditor asks for.


What you can do

ModeWhat you get
Screen names against the listsEvery match for the names you enter, across all three authorities, with aliases, birth dates, nationalities and programme
Export the full listsThe complete lists as flat rows, ready for your own database
Show list sizes and sourcesHow many entries each list holds and where the authority publishes it

The lists

AuthorityEntriesWhat it covers
European Union~6,200Consolidated Financial Sanctions List — asset freezes and restrictions under EU regulations
US Treasury (OFAC)~19,200Specially Designated Nationals, including vessels and aircraft
United Nations~1,000Security Council Consolidated List — the basis most national lists build on

Each is fetched live from the publishing authority on every run, so you always screen against the current version.


Quick start

  1. Pick Screen names against the lists.
  2. Enter the names to check, one per line.
  3. Click Start, download as CSV for your file.

Example inputs

Check a counterparty against all three lists

{
"mode": "screenNames",
"names": ["Gazprom", "Rosneft", "Sberbank"],
"maxItems": 200
}

EU list only, for an EU-regulated obligation

{
"mode": "screenNames",
"names": ["Example Trading GmbH"],
"sources": ["eu"],
"maxItems": 50
}

Screen a whole customer list in one run

{
"mode": "screenNames",
"names": ["Alpha Ltd", "Beta SA", "Gamma AG", "Delta BV"],
"maxItems": 500
}

Export the EU list into your own system

{
"mode": "exportLists",
"sources": ["eu"],
"maxItems": 10000
}

Output fields

FieldDescription
nameOfficial name as published
matchedTermWhich of your search terms produced the hit
aliasesEvery other name and spelling on the entry
sourceWhich authority publishes it
programmeWhich sanctions programme applies, e.g. UKRAINE-EO14024
legalBasisThe regulation the listing rests on (EU)
sourceUrlLink to the official record
listedOn, lastUpdatedWhen the entry was designated and last changed
typePerson, Entity, Vessel or Aircraft
birthDates, birthPlaces, nationalities, genderFor people — what separates a real hit from a namesake
positionsFunction or title held
addresses, identifiersAddresses and passport, ID or registration numbers
vesselCallSign, vesselType, vesselFlag, vesselOwnerFor listed vessels
euReference, unReference, entityIdReference numbers used by the authorities
remarksAdditional context published with the listing

How matching works

Names are compared against the official name and every recorded alias — so Taliban also finds entries that carry it only as an alias, and transliterated spellings are covered where the authority publishes them.

Whole-word matching is on by default. Without it, Putin also matches Supercomputing. In a compliance workflow every false positive costs review time, so this is the safer default. Turn it off for deliberately fuzzy searches.


Limits and honest caveats

  • This is a lookup tool, not a compliance product. No liability cover, no phonetic fuzzy matching, no audit trail. Treat the output as research input.
  • A name match is not an identification. Compare date of birth, nationality and identifiers before acting on a hit.
  • Coverage is these three lists. National lists (UK, Switzerland, Canada, Australia) and PEP registers are not included.
  • No fuzzy matching. Misspellings and transliteration variants the authority does not list will be missed.
  • Lists are fetched live, so a run takes a few seconds longer than a cached lookup — in exchange the data is never stale.

FAQ

Do I need an API key? No. All three authorities publish these lists openly.

Is this enough for regulatory KYC? It gives you the primary-source data, but without workflow, archiving or liability. Many teams use it for pre-screening and supplier checks, then escalate real hits into their formal process.

Why do I get hits that are obviously a different person? Names repeat across the world. Use birthDates, nationalities and identifiers to rule out namesakes.

Can I check hundreds of names at once? Yes. Put them all in the names field; they are screened in a single pass.

Are PEP lists included? No. Politically exposed person registers come from aggregators whose data is licensed for non-commercial use only, so they are deliberately left out.

What formats can I export? CSV, Excel, JSON, XML, or straight from the Apify API.


Sources

These are official publications of the respective authorities. Entries concern identifiable people: screening data is personal data under GDPR, so you need a lawful basis, and results should not be stored longer or shared more widely than your obligation requires.