What does Sanctions Screening — OFAC & UN Watchlists return?

It returns 15 documented output fields: query, matchScore, riskLevel, matchType, matchedName, matchedOn, entityType, programs, title, aliases, remarks and sourceLabel. Each field declares its type, a description of what it holds, and an example value. The remaining 3 are listed in the output schema below.

What input does Sanctions Screening — OFAC & UN Watchlists take?

All 6 inputs are optional and ship with usable defaults, so it runs as-is. They are listed with their types below.

Does Sanctions Screening — OFAC & UN Watchlists need an API key or login?

No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.

How do I run Sanctions Screening — OFAC & UN Watchlists?

It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.

Sanctions Screening — OFAC & UN Watchlists

Screen people and companies against official OFAC SDN, OFAC Consolidated and UN Security Council sanctions lists. Alias-aware fuzzy matching with a 0-100 score and risk level, so spelling variants are caught. Free official sources - no API key, no login.

Sanctions Screening — OFAC & UN Watchlists returns 15 documented output fields, including query, matchScore, riskLevel, matchType and matchedName. Every field carries a declared type, a written description and an example value. 31 runs are recorded on Apify.

Run it on ApifyPay per result · no subscription

15: Output fields
6: Inputs
31: Runs
2026-10-16: Last run

01 — output

What it returns

Every field the extractor writes to its dataset, with its type, a written description and an example value.

Field	Type	What it holds	Example
query	stringnull	The query that produced this row.	shopify scraper
matchScore	integernull	How well this row matched the query, on the Actor's own scale.	0
riskLevel	stringnull	Risk level in words.	<riskLevel>
matchType	stringnull	How the match was made — exact, phrase, broad or inferred.	<matchType>
matchedName	stringnull	Name that matched.	<matchedName>
matchedOn	stringnull	Which field matched.	title
entityType	stringnull	Legal form of the entity.	<entityType>
programs	stringnull	Programmes this record belongs to.	<programs>
title	stringnull	Title as the source writes it.	Wireless Bluetooth Headphones
aliases	stringnull	Alternative names this entity is known by.	<aliases>
remarks	stringnull	Free-text remarks published alongside the source record.	<remarks>
sourceLabel	stringnull	Human-readable label for the source this row came from.	<sourceLabel>
uid	stringnull	Unique identifier for this record within the run.	<uid>
status	stringnull	Outcome recorded for this row.	ok
name	stringnull	Display name as the source writes it.	Bitcoin

02 — sample

One record

Assembled from the example values declared on the schema above, not invented at render time.

{
  "query": "shopify scraper",
  "matchScore": 0,
  "riskLevel": "<riskLevel>",
  "matchType": "<matchType>",
  "matchedName": "<matchedName>",
  "matchedOn": "title",
  "entityType": "<entityType>",
  "programs": "<programs>"
}

03 — input

What you give it

Input	Type	Description
names	arrayoptional	People or companies to check. Leave EMPTY to download the full consolidated list instead of screening.
sources	arrayoptional	Official sources to screen against.
minMatchScore	integeroptional	How close a name must be to count as a hit. 75 is a balanced default; lower it to catch more spelling variants (and more false positives).
maxMatchesPerName	integeroptional	Caps how many candidates are returned for each screened name.
useProxy	booleanoptional	Route the list downloads through Apify Proxy. Rarely needed — the sources are public.
maxItems	integeroptional	Hard limit, strictly enforced. You are never charged beyond this.

04 — run

Run Sanctions Screening on your own input

It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.

Open on Apify ↗

Also in business, automation

05 — questions

Asked before running it

15 of 15 fields described

What does Sanctions Screening — OFAC & UN Watchlists return?: It returns 15 documented output fields: query, matchScore, riskLevel, matchType, matchedName, matchedOn, entityType, programs, title, aliases, remarks and sourceLabel. Each field declares its type, a description of what it holds, and an example value. The remaining 3 are listed in the output schema below.
What input does Sanctions Screening — OFAC & UN Watchlists take?: All 6 inputs are optional and ship with usable defaults, so it runs as-is. They are listed with their types below.
Does Sanctions Screening — OFAC & UN Watchlists need an API key or login?: No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.
How do I run Sanctions Screening — OFAC & UN Watchlists?: It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.