🏢 GLEIF Company & LEI Scraper

Search the global GLEIF database for companies by name or LEI code and get clean, structured legal-entity records — legal name, LEI, status, jurisdiction, legal form, registered address, headquarters address and full registration metadata. Powered by the public GLEIF API, so it's fast and reliable: no browser, no login, no API key.

Built for KYC / AML, counterparty due diligence, B2B data enrichment and compliance research. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🔎 What is the GLEIF Company & LEI Scraper?

The Legal Entity Identifier (LEI) is a 20-character global ID for companies that trade or report in financial markets. Give this actor a company name (e.g. "Apple Inc") or an LEI, and it returns matching, officially-registered legal entities — the legal name, where they're registered, their status and their address — as structured rows. Perfect for verifying counterparties and enriching a B2B list with authoritative data.

What data does it extract?

• LEI code and legal name
• Other / trading names
• Entity status (active, inactive) and registration status
• Jurisdiction and legal form
• Registered-as number (local company number)
• Legal address and headquarters address (lines, city, region, country, postcode)
• Initial registration, last update and next renewal dates
• Managing LOU and BIC codes (where available)
• A direct GLEIF record URL

⬇️ Input

Field	Type	Description
searchTerms	array	Company names or 20-character LEI codes.
maxPerTerm	integer	Max records per term. Default 25.

Example input

{
  "searchTerms": ["Apple Inc", "Volkswagen AG"],
  "maxPerTerm": 25
}

⬆️ Output

One record per legal entity:

{
  "lei": "HWUPKR0MPOU8FGXBT394",
  "legal_name": "APPLE INC.",
  "other_names": [],
  "status": "ACTIVE",
  "jurisdiction": "US-CA",
  "category": "GENERAL",
  "legal_form_code": "XTIQ",
  "registered_as": "C0806592",
  "legal_address": {
    "lines": ["ONE APPLE PARK WAY"],
    "city": "CUPERTINO",
    "region": "US-CA",
    "country": "US",
    "postal_code": "95014"
  },
  "headquarters_address": {
    "lines": ["ONE APPLE PARK WAY"],
    "city": "CUPERTINO",
    "region": "US-CA",
    "country": "US",
    "postal_code": "95014"
  },
  "registration_status": "ISSUED",
  "initial_registration_date": "2012-06-06T18:42:00Z",
  "last_update_date": "2024-05-21T09:00:00Z",
  "next_renewal_date": "2025-06-06T18:42:00Z",
  "managing_lou": "EVK05KS7XY1DEII3R011",
  "bic": [],
  "url": "https://search.gleif.org/#/record/HWUPKR0MPOU8FGXBT394",
  "query": "Apple Inc"
}

💡 Use cases

• ✅ KYC / AML — verify a counterparty's legal name, address and status.
• 🔎 Due diligence — confirm a company is a real, registered legal entity.
• 🏷️ B2B enrichment — append authoritative legal data to your CRM list.
• 📊 Compliance datasets — build a structured entity reference table.

❓ FAQ

Do I need an API key or login? No — it uses the public GLEIF API.

Can I search by company name or LEI? Both — pass either; LEIs are detected automatically.

Is the address included? Yes — both legal and headquarters addresses.

What is an LEI? A 20-character global identifier for legal entities in financial markets.

Can I look up several companies at once? Yes — pass an array of names or LEIs.

Does it include registration dates? Yes — initial, last update and next renewal.

How does pricing work? Pay per record returned. No subscription.

Is it legal? GLEIF data is open, public reference data on legal entities (not individuals). Use responsibly and within GLEIF's terms; for any personal data, follow GDPR/CCPA.

⚙️ How it works

The scraper calls the GLEIF LEI-records API directly — no browser and no key. It detects whether each term is an LEI or a company name, paginates through matches, de-duplicates by LEI, and normalizes the JSON:API response into flat, consistent fields (name, status, jurisdiction, addresses, registration dates). Runs are fast and dependable, which is why the actor keeps passing its daily health check. The same input shape works for one lookup or a long list of companies.

👥 Who uses company / LEI data?

Legal-entity data is valuable to compliance teams, fintechs, sales teams and analysts. A compliance officer screens counterparties for KYC; a fintech validates onboarding data; a sales team enriches accounts with verified legal names and addresses; an analyst maps corporate structures. Because every record is plain JSON with consistent fields, it drops straight into a spreadsheet, CRM, BI tool or compliance workflow with no custom parsing.

📤 Export, schedule & integrate

Every run is saved to a dataset you can export to JSON, CSV, Excel, XML or RSS, or pull through the Apify API. Wire it into Make, Zapier, n8n, Google Sheets, Slack or your own database, run it on a schedule to refresh entity data, and call it from AI agents through the Apify MCP server.

💡 Tips for best results

• Use the full legal name (e.g. "Volkswagen AG") for the tightest matches.
• Pass an LEI directly when you already have it for an exact record.
• Schedule a run to catch status or address changes for your counterparties.
• Combine with the SEC EDGAR scraper to enrich US companies with filings.

❓ More FAQ

How fresh is the data? It is fetched live on each run from GLEIF.

Can I run it automatically? Yes — use Apify Schedules (cron).

Are duplicates removed? Yes — by LEI within each run.

Which export formats? JSON, CSV, Excel, XML and RSS, plus the Apify API.

Can AI agents use it? Yes — via the Apify API and MCP server.

🔗 You might also like

• SEC EDGAR Filings Scraper — US company filings.
• Website Contact Extractor — emails & phones from sites.
• Real Estate Agent Lead Scraper — agent contact leads.

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