GLEIF LEI Scraper

Search the global Legal Entity Identifier (LEI) registry and export clean, structured company reference data. Look up any legal entity by name, country, status or exact LEI code, and get one tidy row per company: LEI, legal name, legal and headquarters address, jurisdiction, legal form, status, registration dates and BIC. Download everything as JSON, CSV or Excel, or pull it straight from the API.

The LEI is the worldwide standard identifier for companies, funds and other legal entities — the same code used across banking, payments, KYC and regulatory reporting. This scraper turns that public reference data into a spreadsheet in seconds.

Great for KYC and onboarding, counterparty and supplier due diligence, entity resolution, data enrichment, sanctions and compliance workflows, market research, and building or refreshing a company master-data set.

What it does

• 🔍 Search by name — find entities whose legal name contains your term (e.g. BMW, Volkswagen, Nestle).
• 🌍 Filter by country — limit results to a country by its ISO two-letter code (e.g. DE, US, GB, SG).
• 📊 Filter by status — collect only Active or Inactive entities.
• 🔤 Full-text search — cast a wider net across indexed fields.
• 🧾 Registration number lookup — match entities by their business-registry number.
• 🆔 Direct LEI lookup — paste one or more exact 20-character LEI codes to fetch them straight away.
• 🏢 Rich entity fields — legal name, other names, legal and headquarters address, jurisdiction, legal form, category, status, registration dates, managing organisation and BIC.
• 📤 Clean, flat output — ready for spreadsheets, databases, CRMs and dashboards.

Input

Example input

{
  "legalName": "BMW",
  "country": "DE",
  "status": "ACTIVE",
  "maxItems": 200
}

Look up specific entities by code:

{
  "leis": ["2138005CD4S1SP96MD71", "213800WAVVOPS85N2205"]
}

Output

One clean row per legal entity. Example:

{
  "lei": "2138005CD4S1SP96MD71",
  "legalName": "BMW ASSOCIATES",
  "otherNames": [],
  "country": "GB",
  "city": "GRANBOROUGH",
  "legalAddress": {
    "addressLines": ["6 CHURCH LANE"],
    "city": "GRANBOROUGH",
    "region": "GB-BKM",
    "country": "GB",
    "postalCode": "MK18 3NN"
  },
  "headquartersAddress": {
    "addressLines": ["6 CHURCH LANE"],
    "city": "GRANBOROUGH",
    "region": "GB-BKM",
    "country": "GB",
    "postalCode": "MK18 3NN"
  },
  "registeredAs": null,
  "jurisdiction": "GB",
  "entityCategory": "GENERAL",
  "legalFormCode": "8888",
  "entityStatus": "ACTIVE",
  "entityCreationDate": null,
  "registrationInitialDate": "2017-12-18T00:00:00Z",
  "registrationLastUpdate": "2019-04-09T13:11:57Z",
  "registrationStatus": "LAPSED",
  "nextRenewalDate": "2018-12-18T00:00:00Z",
  "managingLou": "213800WAVVOPS85N2205",
  "bic": [],
  "recordUrl": "https://search.gleif.org/#/record/2138005CD4S1SP96MD71",
  "url": "https://..."
}

Tips

• Combine Legal name with Country and Status to zero in on a specific entity fast.
• For bulk enrichment, feed a list of LEI codes and get all their details back in one run.
• Increase Max items to build a broad country- or sector-level dataset; leave the name empty for the widest results.

FAQ

What is an LEI? A Legal Entity Identifier is a 20-character code that uniquely identifies a legal entity worldwide. It is used across financial and regulatory systems to know exactly who is who.

Is this public data? Yes — it is open company and legal-entity reference data. This scraper does not collect personal profiles.

What formats can I export? JSON, CSV, Excel, HTML table, or via the API — the usual Apify dataset options.

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.