# Sanctions Screening — OFAC, BIS, EU, UN + 9 Jurisdictions (`jungle_synthesizer/sanctions-screening-scraper`) Actor

Unified sanctions screening across 16 restricted-party lists from 9 jurisdictions. Three modes: bulk ingest, fuzzy-match query with score, and daily diff of new designations. Cross-list entity resolution links the same entity across jurisdictions.

- **URL**: https://apify.com/jungle\_synthesizer/sanctions-screening-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Business, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Sanctions Screening — OFAC, BIS, EU, UN + 9 Jurisdictions

Unified sanctions screening across **16 government restricted-party lists** from **9 jurisdictions**. Three operating modes: bulk ingest, fuzzy-match query screening, and daily diff of new designations.

Built for banks, fintech companies, crypto exchanges, insurance firms, exporters, and compliance teams that need multi-jurisdiction coverage in a single actor run.

***

### Covered Sources

#### United States

| List Key | Source | Entities |
|----------|--------|----------|
| `OFAC_SDN` | OFAC Specially Designated Nationals | ~19,000 |
| `OFAC_CONS` | OFAC Consolidated Sanctions List | ~1,900 |
| `BIS_DPL` | BIS Denied Persons List | ~994 |
| `BIS_EL` | BIS Entity List | ~2,918 |
| `BIS_MEU` | BIS Military End User List | ~400 |
| `DDTC` | DDTC Debarred Persons & Entities | ~1,500 |
| `CSL` | trade.gov Consolidated Screening List | ~30,151 |

#### United Kingdom

| List Key | Source | Entities |
|----------|--------|----------|
| `UK_FCDO` | FCDO UK Sanctions List | ~6,177 |
| `OFSI` | OFSI HMT Financial Sanctions | ~19,761 |

#### Other Jurisdictions

| List Key | Jurisdiction | Source | Entities |
|----------|-------------|--------|----------|
| `EU_FSF` | EU | EU Financial Sanctions File | ~15,165 |
| `UN_SC` | UN | UN Security Council Consolidated | ~1,009 |
| `CA_SEMA` | Canada | Global Affairs Canada SEMA | ~10,953 |
| `CA_OSFI` | Canada | OSFI Listed Terrorists | ~177 |
| `AU_DFAT` | Australia | DFAT Consolidated | ~8,990 |
| `CH_SECO` | Switzerland | SECO Sanctions | ~16,608 |
| `JP_METI` | Japan | METI End User List | ~1,659 |
| `IL_NCI` | Israel | NCI/CTF Designated Terrorists | ~2,061 |

***

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `mode` | string | `ingest_lists` | Operating mode (see below) |
| `lists` | array | all | List keys to include (e.g. `OFAC_SDN`, `EU_FSF`) |
| `jurisdictions` | array | all | Filter by jurisdiction (e.g. `US`, `EU`, `UN`) |
| `queries` | array | — | Names to screen (`screen_queries` mode) |
| `minMatchScore` | integer | 75 | Minimum fuzzy match score 0-100 |
| `includeAliases` | boolean | true | Match against alias names |
| `maxItems` | integer | 1000 | Maximum records to output |

#### Modes

**`ingest_lists`** — Downloads all selected lists and outputs full normalized records. Use for initial data load or scheduled refreshes.

**`screen_queries`** — Fuzzy-matches each name in `queries` against all selected lists. Returns matches with `match_score`, `match_field`, and `match_reason`. Score 0-100; threshold set by `minMatchScore`.

**`new_designations_diff`** — Compares current list state against the previous run (stored in key-value store). Outputs only newly added entities. Use for daily monitoring.

***

### Output

Each record contains:

| Field | Type | Description |
|-------|------|-------------|
| `source_list` | string | List key (e.g. `OFAC_SDN`, `EU_FSF`) |
| `source_list_id` | string | Native ID within the source list |
| `source_information_url` | string | URL of the source list page |
| `jurisdiction` | string | Jurisdiction code (US, UK, EU, UN, CA, AU, CH, JP, IL) |
| `primary_name` | string | Primary name of the sanctioned entity |
| `alias_names` | array | Alternate names / aliases |
| `entity_type` | string | Individual, Entity, Vessel, or Aircraft |
| `nationalities` | array | Nationality strings |
| `citizenship` | array | Citizenship strings |
| `date_of_birth` | string | Date of birth (individuals) |
| `place_of_birth` | string | Place of birth (individuals) |
| `addresses` | array | Address strings |
| `identifying_documents` | array | Passport, ID, registration numbers |
| `sanctions_programs` | array | Program codes (e.g. SDGT, IRAN) |
| `designation_date` | string | Date first designated |
| `remarks` | string | Additional notes from source list |
| `vessel_details` | string | Call sign, IMO number (vessel entities) |
| `scraped_at` | string | ISO timestamp of fetch |

In `screen_queries` mode, additional fields are present:

| Field | Type | Description |
|-------|------|-------------|
| `query_term` | string | The query string screened |
| `match_score` | number | Fuzzy similarity score 0-100 |
| `match_field` | string | Which field matched (primary\_name or alias) |
| `match_reason` | string | Human-readable match explanation |

***

### Example Inputs

**KYC/AML name screening:**

```json
{
  "mode": "screen_queries",
  "queries": ["Vladimir Potanin", "Alisher Usmanov"],
  "minMatchScore": 80,
  "maxItems": 50,
  "sp_intended_usage": "KYC compliance screening",
  "sp_improvement_suggestions": "None"
}
```

**Daily monitoring for new designations:**

```json
{
  "mode": "new_designations_diff",
  "jurisdictions": ["US", "EU", "UN"],
  "sp_intended_usage": "Daily sanctions monitoring",
  "sp_improvement_suggestions": "None"
}
```

**Initial bulk load — US lists only:**

```json
{
  "mode": "ingest_lists",
  "jurisdictions": ["US"],
  "maxItems": 0,
  "sp_intended_usage": "Initial data load for compliance database",
  "sp_improvement_suggestions": "None"
}
```

***

### Data Sources

All data is sourced from official government publications:

- US Treasury OFAC — direct XML download
- UK FCDO and OFSI — direct XML download
- UN Security Council — direct XML download
- EU FSF, BIS lists, DDTC, Canada, Australia, Switzerland, Japan, Israel — via [OpenSanctions](https://opensanctions.org) (Apache 2.0 licensed, derived from official government sources)

All sources are freely available government sanctions lists intended for regulatory compliance screening.

# Actor input Schema

## `sp_intended_usage` (type: `string`):

Please describe how you plan to use the data extracted by this crawler.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

Provide your email address so we can get in touch with you.

## `mode` (type: `string`):

No description

## `lists` (type: `array`):

Subset of: OFAC\_SDN, OFAC\_CONS, BIS\_DPL, BIS\_EL, BIS\_MEU, DDTC, UK\_FCDO, OFSI, EU\_FSF, UN\_SC, CA\_SEMA, CA\_OSFI, AU\_DFAT, CH\_SECO, JP\_METI, IL\_NCI. Empty = all.

## `jurisdictions` (type: `array`):

Subset of: US, UK, EU, UN, CA, AU, CH, JP, IL. Empty = all.

## `queries` (type: `array`):

Each line = one name or entity. Used in screen\_queries mode.

## `minMatchScore` (type: `integer`):

0-100. Scores below threshold are omitted.

## `includeAliases` (type: `boolean`):

No description

## `includeRemoved` (type: `boolean`):

No description

## `diffSince` (type: `string`):

ISO date or 'last-run'. Default: last-run.

## `maxItems` (type: `integer`):

No description

## `proxyConfiguration` (type: `object`):

No description

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "mode": "ingest_lists",
  "minMatchScore": 75,
  "includeAliases": true,
  "maxItems": 1000,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "mode": "ingest_lists",
    "minMatchScore": 75,
    "includeAliases": true,
    "includeRemoved": false,
    "maxItems": 1000,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/sanctions-screening-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "mode": "ingest_lists",
    "minMatchScore": 75,
    "includeAliases": True,
    "includeRemoved": False,
    "maxItems": 1000,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/sanctions-screening-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "mode": "ingest_lists",
  "minMatchScore": 75,
  "includeAliases": true,
  "includeRemoved": false,
  "maxItems": 1000,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call jungle_synthesizer/sanctions-screening-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jungle_synthesizer/sanctions-screening-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/dOMuQ9VuhJqbgnzdg/builds/pywjT4CqVORVMZ8bp/openapi.json