# GLEIF LEI (Legal Entity Identifier) Extractor (`xtracto/gleif-lei`) Actor Extract Legal Entity Identifier records from GLEIF — one legal entity per row, with legal name, address, registration, BIC/MIC. 3.3M+ entities for KYC/AML and entity resolution. Public data. - **URL**: https://apify.com/xtracto/gleif-lei.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## GLEIF LEI (Legal Entity Identifier) Extractor Extract **Legal Entity Identifier** records from **GLEIF** — one legal entity per row, with legal name, registered address, registration details, and BIC/MIC codes. The global reference set for **KYC/AML, counterparty/entity resolution, and supply-chain due diligence**. Built for compliance and onboarding teams, fintech/regtech, data vendors, and analysts who need a clean company master. --- ### Why use this actor - **3.3M+ entities** (verified) — pull the whole registry, or a slice by country and status. - **One entity per row**, with a flat header (`lei`, `legal_name`, `country`, `city`, `entity_status`, `registration_status`) plus the **full raw GLEIF attributes** preserved. - **No login, no key.** Clean JSON:API. ### Input | Field | Type | Description | | --- | --- | --- | | `country` | text | Optional ISO-2 of the legal address (US, GB, DE, ID…). | | `entityStatus` | **dropdown** | Any / Active / Inactive / Null. | | `registrationStatus` | **dropdown** | Any / Issued / Lapsed / Merged / Retired / … | | `pageSize` | int | 1–200 (default 200). | | `maxItems` | int | 0 = all matching. | `entityStatus` and `registrationStatus` are **pick-lists**; `country` is a free ISO-2 code (documented) since the full country set is large. ### Output — `LEI_RECORD` Envelope + `recordType: "LEI_RECORD"` + flat header, then the raw GLEIF `attributes` object: ```json { "_input": "country=US; entity=ACTIVE", "_source": "S1-gleif", "_scrapedAt": "2026-06-03T10:00:00Z", "recordType": "LEI_RECORD", "lei": "5493001KJTIIGC8Y1R12", "legal_name": "BLOOMBERG L.P.", "country": "US", "city": "New York", "entity_status": "ACTIVE", "registration_status": "ISSUED", "entity": { "...": "..." }, "registration": { "...": "..." }, "bic": null, "mic": null } ```` ### How it works 1. Your country and status filters are applied to the search. 2. The actor automatically pages through all matching results (up to 200 per request). 3. Each entity streams into the dataset. ### Known limits - Public data — no account needed, runs from any connection. Backs off on HTTP 429. - Page size capped at 200 by GLEIF → large unfiltered pulls are many requests; filter by country/status to scope. - **Verified live 2026-06-03:** total 3,331,178; JSON:API `data[].attributes` with `lei`, `entity`, `registration`, `bic`, `mic`. # Actor input Schema ## `country` (type: `string`): Optional ISO-2 country code of the entity's legal address, e.g. US, GB, DE, ID. Leave blank for all countries. ## `entityStatus` (type: `string`): Optional filter on the entity's status. ## `registrationStatus` (type: `string`): Optional filter on the LEI registration status. ## `pageSize` (type: `integer`): How many records to fetch per request. ## `maxItems` (type: `integer`): Maximum records to return (0 = all matching). ## `proxyConfiguration` (type: `object`): Not required (public API). ## Actor input object example ```json { "country": "US", "entityStatus": "", "registrationStatus": "", "pageSize": 200, "maxItems": 0, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "country": "US" }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/gleif-lei").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 = { "country": "US" } # Run the Actor and wait for it to finish run = client.actor("xtracto/gleif-lei").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 '{ "country": "US" }' | apify call xtracto/gleif-lei --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/gleif-lei", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GLEIF LEI (Legal Entity Identifier) Extractor", "description": "Extract Legal Entity Identifier records from GLEIF — one legal entity per row, with legal name, address, registration, BIC/MIC. 3.3M+ entities for KYC/AML and entity resolution. Public data.", "version": "0.1", "x-build-id": "DDmBIv08ic9oMCWRh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~gleif-lei/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-gleif-lei", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~gleif-lei/runs": { "post": { "operationId": "runs-sync-xtracto-gleif-lei", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~gleif-lei/run-sync": { "post": { "operationId": "run-sync-xtracto-gleif-lei", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "country": { "title": "Country (ISO-2)", "type": "string", "description": "Optional ISO-2 country code of the entity's legal address, e.g. US, GB, DE, ID. Leave blank for all countries.", "default": "" }, "entityStatus": { "title": "Entity status", "enum": [ "", "ACTIVE", "INACTIVE", "NULL" ], "type": "string", "description": "Optional filter on the entity's status.", "default": "" }, "registrationStatus": { "title": "Registration status", "enum": [ "", "ISSUED", "LAPSED", "MERGED", "RETIRED", "ANNULLED", "PENDING_TRANSFER", "PENDING_ARCHIVAL", "DUPLICATE", "PENDING_VALIDATION", "TRANSFERRED" ], "type": "string", "description": "Optional filter on the LEI registration status.", "default": "" }, "pageSize": { "title": "Page size", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many records to fetch per request.", "default": 200 }, "maxItems": { "title": "Max records (0 = all matching)", "minimum": 0, "type": "integer", "description": "Maximum records to return (0 = all matching).", "default": 0 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Not required (public API).", "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 } } } } } } } } } } ```