# Global Sanctions Screener - OFAC, EU, UN, UK, Canada (`jungle_synthesizer/ofac-sanctions-global-screening-scraper`) Actor Global sanctions screening across 6 jurisdictions: OFAC, UK FCDO, UN Security Council, EU FSF, Canada SEMA, Australia DFAT. Three modes: full list ingest, fuzzy-match name screening, and new-designations diff. Built for compliance, fintech, banking, and exporters. - **URL**: https://apify.com/jungle\_synthesizer/ofac-sanctions-global-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, NaN 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Global Sanctions Screener — OFAC, EU, UN, UK, Canada, Australia Unified sanctions screening across **6 jurisdictions** in a single actor: OFAC SDN (US), UK FCDO, UN Security Council, EU Financial Sanctions Files (FSF), Canada SEMA, and Australia DFAT. Compliance buyers need all major lists in one tool. This actor replaces 5+ single-list alternatives with multi-jurisdiction coverage, cross-list entity attribution, and built-in fuzzy-match screening. --- ### What You Get | List | Authority | Coverage | |------|-----------|----------| | **OFAC SDN** | US Treasury | ~19,000 entities | | **UK FCDO** | UK Foreign Commonwealth & Development | ~15,000 entities | | **UN Security Council** | United Nations | ~1,000 entities | | **EU FSF** | European Commission | ~6,000 entities | | **Canada SEMA** | Global Affairs Canada | ~5,400 entities | | **Australia DFAT** | Australian Dept. of Foreign Affairs | ~3,700 entities | Lists update daily (OFAC), weekly (UK), or 1–4x per month (others). The actor always fetches the current live version. --- ### Three Operating Modes #### 1. Ingest Lists (`ingest_lists`) Downloads and parses all selected sanctions lists and saves them as structured records. Use this to load your compliance database or build a snapshot for offline querying. **Output fields per record:** - `source_list` — e.g. `OFAC`, `UK`, `UN` - `source_list_id` — original ID in the source list - `entity_type` — Individual, Entity, Vessel, or Aircraft - `primary_name` - `alias_names` — all AKA, FKA, DBA names - `nationalities`, `citizenship` - `date_of_birth`, `place_of_birth` - `addresses` — known addresses as formatted strings - `identifying_documents` — passport, national ID, registration numbers - `sanctions_programs` — e.g. `SDGT`, `IRAN`, `UKRAINE-EO13661` - `designation_date` - `remarks` - `vessel_details` #### 2. Screen Names (`screen_queries`) Provide one or more names or entity strings. The actor fuzzy-matches each query against all primary names and aliases across the selected lists. Results include a match score (0-100), the matched field, and the reason. **Extra output fields in this mode:** - `query_term` — the input you searched for - `match_score` — Dice coefficient score, 0-100 - `match_field` — `primary_name` or `alias` - `match_reason` — human-readable explanation #### 3. New Designations Diff (`new_designations_diff`) Returns only entities that were **not present** in the previous run. The actor stores the set of seen entity IDs in Apify's key-value store and computes the diff automatically on each run. Schedule daily to get a digest of new sanctions designations. --- ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | select | `ingest_lists` | Operating mode | | `lists` | array | all lists | Specify one or more: `OFAC`, `UK`, `UN`, `EU`, `CANADA`, `AUSTRALIA` | | `queries` | array | — | Names to screen (required in `screen_queries` mode) | | `minMatchScore` | integer | `75` | Minimum fuzzy match score (0-100) | | `includeAliases` | boolean | `true` | Also match alias names | | `maxItems` | integer | `15` | Maximum records to return | --- ### Use Cases - **KYC/AML compliance** — Screen customers and counterparties before onboarding or transactions - **Trade compliance** — Check exporters, importers, and end-users against all major lists - **Database loading** — Ingest all 6 lists on a schedule to maintain an internal sanctions database - **Daily digest** — Use `new_designations_diff` mode on a schedule to get an alert on new designations - **Fintech / crypto** — Multi-jurisdiction screening for payment processing and wallet transactions --- ### Data Sources All sources are public government APIs with no authentication required: - **OFAC**: `https://www.treasury.gov/ofac/downloads/sdn.xml` (redirects to S3) - **UK FCDO**: `https://sanctionslist.fcdo.gov.uk/docs/UK-Sanctions-List.xml` - **UN Security Council**: `https://scsanctions.un.org/resources/xml/en/consolidated.xml` - **EU FSF**: Via OpenSanctions (`data.opensanctions.org`) — the EU FSD portal requires browser login - **Canada SEMA**: Via OpenSanctions (`data.opensanctions.org`) - **Australia DFAT**: Via OpenSanctions (`data.opensanctions.org`) --- ### Pricing This actor uses **Pay Per Event** pricing: - **$0.10** per run start - **$0.01** per record saved A full 6-list ingest (~50,000 records) costs approximately $500 + the $0.10 start fee. For budget-sensitive use cases, limit to specific lists or use `maxItems`. --- ### Compliance Notice This actor retrieves publicly available government sanctions data for informational and compliance purposes. Users are responsible for ensuring their use of this data complies with applicable laws and regulations. Sanctions lists change frequently — always fetch fresh data for compliance decisions. # 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`): Specify one or more: OFAC, UK, UN, EU, CANADA, AUSTRALIA. Leave empty to include all lists. ## `queries` (type: `array`): Used in screen_queries mode. Each entry is one name or entity to screen against all selected lists. ## `minMatchScore` (type: `integer`): 0–100. Results below this score are omitted. Applies only in screen_queries mode. ## `includeAliases` (type: `boolean`): When enabled, fuzzy matching also checks alias names. Applies only in screen_queries mode. ## `maxItems` (type: `integer`): Maximum number of records to return. Set 0 for all. ## `proxyConfiguration` (type: `object`): All sources are public government APIs — proxies are not required. ## 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", "lists": [], "queries": [], "minMatchScore": 75, "includeAliases": true, "maxItems": 15, "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 '' with your token const client = new ApifyClient({ 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", "lists": [], "queries": [], "minMatchScore": 75, "includeAliases": true, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/ofac-sanctions-global-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 '' with your token. client = ApifyClient("") # 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", "lists": [], "queries": [], "minMatchScore": 75, "includeAliases": True, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/ofac-sanctions-global-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", "lists": [], "queries": [], "minMatchScore": 75, "includeAliases": true, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/ofac-sanctions-global-screening-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/ofac-sanctions-global-screening-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Global Sanctions Screener - OFAC, EU, UN, UK, Canada", "description": "Global sanctions screening across 6 jurisdictions: OFAC, UK FCDO, UN Security Council, EU FSF, Canada SEMA, Australia DFAT. Three modes: full list ingest, fuzzy-match name screening, and new-designations diff. Built for compliance, fintech, banking, and exporters.", "version": "1.0", "x-build-id": "dxXPVolnA3ZnKc2tk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~ofac-sanctions-global-screening-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ofac-sanctions-global-screening-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~ofac-sanctions-global-screening-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-ofac-sanctions-global-screening-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~ofac-sanctions-global-screening-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-ofac-sanctions-global-screening-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Mode", "enum": [ "ingest_lists", "screen_queries", "new_designations_diff" ], "type": "string", "description": "", "default": "ingest_lists" }, "lists": { "title": "Lists to Include", "type": "array", "description": "Specify one or more: OFAC, UK, UN, EU, CANADA, AUSTRALIA. Leave empty to include all lists.", "items": { "type": "string" } }, "queries": { "title": "Names / Entities to Screen", "type": "array", "description": "Used in screen_queries mode. Each entry is one name or entity to screen against all selected lists.", "items": { "type": "string" } }, "minMatchScore": { "title": "Minimum Fuzzy Match Score", "type": "integer", "description": "0–100. Results below this score are omitted. Applies only in screen_queries mode.", "default": 75 }, "includeAliases": { "title": "Match Against Aliases", "type": "boolean", "description": "When enabled, fuzzy matching also checks alias names. Applies only in screen_queries mode.", "default": true }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return. Set 0 for all.", "default": 15 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "All sources are public government APIs — proxies are not required.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```