# GLEIF LEI Scraper (Legal Entity Data) (`opendata-labs/gleif-lei-scraper`) Actor Scrape the official GLEIF register of Legal Entity Identifiers (LEI) — legal entities worldwide, their addresses, jurisdiction, status and corporate ownership tree — through GLEIF's own free public API. Built for KYC, AML, due diligence and B2B entity enrichment. - **URL**: https://apify.com/opendata-labs/gleif-lei-scraper.md - **Developed by:** [Joao Paulo](https://apify.com/opendata-labs) (community) - **Categories:** Lead generation, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Scraper (Legal Entity Data) Extract data from the **official GLEIF register of Legal Entity Identifiers (LEI)** — the global, authoritative database of legally registered entities maintained by the Global Legal Entity Identifier Foundation. This Actor talks directly to GLEIF's own public API, so the data is authoritative, refreshed daily, needs no key, and never breaks. Perfect for **KYC, AML, compliance, due diligence, entity resolution and B2B data enrichment**. ### What you can scrape | Mode | What you get | | --- | --- | | **Search entities** | Find legal entities by name, country and status. One row per entity, with legal name, addresses, jurisdiction, legal form and registration status. | | **LEI details** | Full record for a list of LEI codes. | | **Relationships** | The corporate ownership tree for a list of LEI codes — direct parent, ultimate parent and direct children. Essential for beneficial-ownership and KYC work. | ### No API key, no proxy The GLEIF API is free and open. There is nothing to sign up for and no anti-bot to fight — just run the Actor. ### Example input Find active US entities named "capital": ```json { "mode": "search", "legalName": "capital", "country": "US", "entityStatus": "ACTIVE", "registrationStatus": "ISSUED", "maxItems": 500 } ```` Get the ownership tree of an entity: ```json { "mode": "relationships", "leis": ["HWUPKR0MPOU8FGXBT394"] } ``` ### Output Results are returned as a clean, flat dataset that you can export to **JSON, CSV or Excel**, or pull through the Apify API. Use the **Overview** table view for a quick look. ### What is an LEI? A Legal Entity Identifier (LEI) is a 20-character code that uniquely identifies a legally distinct entity that engages in financial transactions. LEIs are required by regulators worldwide (MiFID II, EMIR, Dodd-Frank and more) and are the global standard for identifying "who is who" and "who owns whom" in the financial system. ### Keywords LEI, legal entity identifier, GLEIF, company data, entity data, KYC, AML, due diligence, beneficial ownership, corporate hierarchy, parent company, ultimate parent, compliance data, regulatory data, entity resolution, B2B data enrichment, global company register, legal entity lookup. # Actor input Schema ## `mode` (type: `string`): What to scrape. 'search' finds legal entities by name, country and status (one row per entity). 'lei\_details' returns full records for a list of LEI codes. 'relationships' returns the corporate ownership tree (direct parent, ultimate parent and direct children) for a list of LEI codes. ## `legalName` (type: `string`): Search mode only. Return entities whose legal name matches this text. ## `country` (type: `string`): Search mode only. Filter by legal address country as a 2-letter ISO code (e.g. 'US', 'GB', 'DE', 'BR'). ## `entityStatus` (type: `string`): Search mode only. Filter by entity status. ## `registrationStatus` (type: `string`): Search mode only. Filter by LEI registration status (ISSUED means the LEI is current and maintained). ## `leis` (type: `array`): For 'lei\_details' and 'relationships' modes. The list of 20-character LEI codes to look up (e.g. \['HWUPKR0MPOU8FGXBT394']). ## `maxItems` (type: `integer`): Stop after pushing this many rows to the dataset. ## Actor input object example ```json { "mode": "search", "legalName": "Apple Inc", "entityStatus": "", "registrationStatus": "", "leis": [], "maxItems": 1000 } ``` # 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 = { "legalName": "Apple Inc", "country": "", "leis": [] }; // Run the Actor and wait for it to finish const run = await client.actor("opendata-labs/gleif-lei-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 = { "legalName": "Apple Inc", "country": "", "leis": [], } # Run the Actor and wait for it to finish run = client.actor("opendata-labs/gleif-lei-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 '{ "legalName": "Apple Inc", "country": "", "leis": [] }' | apify call opendata-labs/gleif-lei-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=opendata-labs/gleif-lei-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GLEIF LEI Scraper (Legal Entity Data)", "description": "Scrape the official GLEIF register of Legal Entity Identifiers (LEI) — legal entities worldwide, their addresses, jurisdiction, status and corporate ownership tree — through GLEIF's own free public API. Built for KYC, AML, due diligence and B2B entity enrichment.", "version": "0.1", "x-build-id": "0wXh6tuNKKxegJTJc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/opendata-labs~gleif-lei-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-opendata-labs-gleif-lei-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/opendata-labs~gleif-lei-scraper/runs": { "post": { "operationId": "runs-sync-opendata-labs-gleif-lei-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/opendata-labs~gleif-lei-scraper/run-sync": { "post": { "operationId": "run-sync-opendata-labs-gleif-lei-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", "properties": { "mode": { "title": "Mode", "enum": [ "search", "lei_details", "relationships" ], "type": "string", "description": "What to scrape. 'search' finds legal entities by name, country and status (one row per entity). 'lei_details' returns full records for a list of LEI codes. 'relationships' returns the corporate ownership tree (direct parent, ultimate parent and direct children) for a list of LEI codes.", "default": "search" }, "legalName": { "title": "Legal name contains", "type": "string", "description": "Search mode only. Return entities whose legal name matches this text." }, "country": { "title": "Country (ISO code)", "type": "string", "description": "Search mode only. Filter by legal address country as a 2-letter ISO code (e.g. 'US', 'GB', 'DE', 'BR')." }, "entityStatus": { "title": "Entity status", "enum": [ "", "ACTIVE", "INACTIVE", "NULL" ], "type": "string", "description": "Search mode only. Filter by entity status.", "default": "" }, "registrationStatus": { "title": "Registration status", "enum": [ "", "ISSUED", "LAPSED", "RETIRED", "ANNULLED", "PENDING_TRANSFER" ], "type": "string", "description": "Search mode only. Filter by LEI registration status (ISSUED means the LEI is current and maintained).", "default": "" }, "leis": { "title": "LEI codes", "type": "array", "description": "For 'lei_details' and 'relationships' modes. The list of 20-character LEI codes to look up (e.g. ['HWUPKR0MPOU8FGXBT394']).", "items": { "type": "string" } }, "maxItems": { "title": "Maximum items", "minimum": 1, "type": "integer", "description": "Stop after pushing this many rows to the dataset.", "default": 1000 } } }, "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 } } } } } } } } } } ```