Global Company Check – LEI & Legal Entity Lookup, built on GLEIF open data

Publisher: Fieldnote Agents

First 25 results free per Apify account, then $0.03 per company found.

Verify a company in one call. Give it a legal name + country, or an LEI, and get back the official legal name, LEI, status, addresses, legal form, register ID and parent companies, as tidy JSON. Made for AI agents, CRM enrichment and supplier checks. Public GLEIF data only (CC0). No scraping of paid databases.

Not affiliated with or endorsed by GLEIF; data under CC0. No GLEIF logo or trademark is used.

Every field carries its source and retrieved_at timestamp.

What it returns

• GLEIF (CC0): legal name, other names, LEI, entity status and LEI registration status, legal and HQ address, jurisdiction, legal form (ISO 20275 ELF code), registration authority (GLEIF RA code) and registration ID, direct and ultimate parent (or GLEIF's reporting-exception reason, e.g. NO_KNOWN_PERSON, NATURAL_PERSONS).

Input

Use queries: a list of up to 500 lines, one result each. Each line is either

• an LEI (20 characters), e.g. 549300TTCXZOGZM2EY83, or
• a legal name, optionally followed by | CC (ISO 3166-1 alpha-2 country of the legal address), e.g. Spotify AB | SE.

Via the API you can also pass objects: {"lei": "..."} or {"companyName": "...", "country": "SE"}. includeParents (default true) adds direct and ultimate parents.

{ "queries": ["549300TTCXZOGZM2EY83", "SAP SE | DE", "Spotify AB | SE"], "includeParents": true }

The older single inputs (lei, leis, companyName + country) still work. Name without a country is less reliable.

Output

One dataset item per query: query, matchType (lei | exact-name | fuzzy-name | none), matchNote (a plain-language match note, e.g. "Legal name matches the query exactly (country SE)"; there's no confidence score), candidates (other GLEIF hits for name queries), company (each field {value, source, retrieved_at}), errors, billing. Schemas: .actor/dataset_schema.json, .actor/output_schema.json.

Pricing

The first 25 results per Apify account are free, then $0.03 per company found, counted per result (pay-per-event company-result, plus Apify's standard actor-start event), charged automatically. Lookups that find nothing are free. Set a max cost per run in Apify and the Actor stops cleanly when it's reached. Details in PRICING.md.

Reliability and data

Timeouts (configurable), up to 3 retries with backoff that honours Retry-After on 429/5xx, and GLEIF pacing of about 1 request/s (under the roughly 60/min limit). A 24h on-disk cache sits in .cache/. The tool stores nothing beyond what the registers return for legal entities.

Limits

GLEIF covers only entities that hold an LEI (about 3M worldwide, mostly larger or regulated firms). Name search returns the best hit with a match note plus candidates, so check them, because subsidiaries are similar (e.g. "SAP" also matches SAP Deutschland SE & Co. KG). GLEIF data is supplied by third parties "as is".

Run locally

pip install -r requirements.txt && apify run, or test the core: python3 -c "from src.registers import lookup; print(lookup(lei='549300TTCXZOGZM2EY83'))". The old website scraper is in legacy/.

FAQ

• How much does it cost? $0.03 per company found, after 25 free results per Apify account. Lookups that find nothing are free.
• Is it GDPR-safe? It returns legal-entity data from the GLEIF register only. Note that GLEIF also lists some sole proprietors, whose entity name can be a person's name.
• Coverage? Entities that hold an LEI in the GLEIF register (~3M worldwide, mostly larger or regulated firms). It isn't a credit, KYC/AML or VAT check.