Company ID Crosswalk — LEI, ISIN, CIK & VAT Lookup

Company data lives in a dozen systems that do not share a key. This actor solves that: give it a company name and it returns the LEI, the ISIN and ticker, the SEC CIK, the VAT number, the national registry number and the OpenCorporates, Crunchbase and LinkedIn handles — the join keys that let the rest of your stack talk to each other.

No API key · Official source · Pay only for delivered rows · Same schema across the series

What data do you get?

Field	Description
companyName	English label from Wikidata
registrationNumber	Wikidata Q-ID
description	Wikidata's one-line description
lei	Legal Entity Identifier
isin	ISIN codes
ticker	Stock ticker symbols
stockExchanges	Exchanges the company is listed on
secCik	SEC Central Index Key
taxNumber	VAT number
nationalRegistryIds	National company register identifiers, by scheme
openCorporatesId	OpenCorporates identifier
crunchbaseId	Crunchbase slug
linkedinId	LinkedIn company slug
rorId	ROR identifier where the company does research
website	Official website
industry	Industry
legalForm	Legal form
employees	Employee count as recorded
revenue	Revenue, with currency
totalAssets	Total assets, with currency
incorporatedOn	Inception date
city	Headquarters location
countryName	Country
parentCompany	Parent organization
subsidiaries	Subsidiaries recorded on Wikidata
chiefExecutive	Chief executive officer
sourceUrl	Wikidata entity page

Every row also carries query (what you asked for), scrapedAt (ISO timestamp) and, when a lookup fails, error explaining why.

Example output

{
  "country": "GLOBAL",
  "registry": "Wikidata",
  "companyName": "Siemens",
  "registrationNumber": "Q81230",
  "description": "German multinational conglomerate company",
  "lei": "W38RGI023J3WT1HWRP32",
  "isin": [
    "DE0007236101"
  ],
  "taxNumber": "DE129274202",
  "rorId": "059mq0909",
  "openCorporatesId": "de/F1103R_HRB12300",
  "crunchbaseId": "siemens",
  "linkedinId": "siemens",
  "website": "https://www.siemens.com/",
  "industry": "electrical engineering",
  "employees": 370000,
  "revenue": "75636000000 EUR",
  "incorporatedOn": "1847-10-01",
  "city": "Munich",
  "countryName": "Germany",
  "sourceUrl": "https://www.wikidata.org/wiki/Q81230"
}

Input

{
  "queries": ["Siemens","Novo Nordisk","Q81230","Shopify"],
  "maxResultsPerQuery": 5,
  "maxConcurrency": 4,
  "includeRaw": false
}

Input	What it does
queries	Company names (Siemens, Novo Nordisk) or Wikidata Q-IDs (Q81230).
maxResultsPerQuery	Caps how many rows one query may produce.
maxConcurrency	How many queries run at once. Lower it if the source starts throttling.
includeRaw	Attaches the source's untouched record under raw, for fields this actor does not map.
requestDelayMs	Politeness delay between requests.
proxyConfiguration	Optional. The Wikidata API is open and rarely needs a proxy.

What people use it for

• Entity resolution — the join key problem, solved — map a name to LEI, ISIN, CIK and VAT so your systems can agree who a company is.
• Enrichment fan-out — get the CIK, then pull SEC financials; get the LEI, then pull ownership; get the VAT, then validate in VIES.
• Ownership mapping — parent and subsidiary links give you a first-pass corporate tree, for free.

Notes and limits

• Coverage is best for listed and well-known companies. A small private firm may have no Wikidata item at all — you get an explanatory row, not a wrong match.
• Wikidata is community-edited. Identifiers (LEI, ISIN, CIK) are reliable because they are externally validated; financial figures are as good as the last editor and carry the year they refer to.
• Entity-valued fields (industry, headquarters, parent) are resolved to English labels in one batched extra request rather than left as Q-IDs.

Where the data comes from

Wikidata publishes its structured data through a documented open API with no key, under a CC0 dedication. Source: Wikidata

FAQ

Is this company identifier crosswalk scraper free?

The data source is free and needs no API key — you pay only for the rows the run delivers ($0.004 each). Failed or empty lookups are never charged.

Do I need an API key or a login?

No. Wikidata publishes its structured data through a documented open API with no key, under a CC0 dedication.

What can I search by?

By company name (Siemens, Novo Nordisk) or by Wikidata Q-ID (Q81230). Names are matched against Wikidata's own search and filtered to organizations.

How current is the data?

Every run queries the source live, so results are as fresh as the source itself. Wikidata is edited continuously; financial figures carry the year they were reported.

How fast is it, and how many queries can I run?

Queries run concurrently (4 at a time by default, tunable in the input). A prefilled run finishes in seconds; large lists scale roughly linearly and stay well inside a normal run timeout.

Can I export the results to CSV, Excel or JSON?

Yes. Apify datasets export to CSV, Excel, JSON, XML and HTML, and can be pulled through the API or pushed to your own storage.

What happens when a query returns nothing?

You still get a row, carrying your original query and an error field explaining why. Nothing is silently dropped, and you are not charged for it.

Is scraping this data legal?

Yes. Wikidata releases all of its structured data into the public domain under CC0, explicitly for reuse.

Related actors

• Research Organization Data — ROR

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Built by Fox Labs — B2B company intelligence from public sources, as clean JSON.