Company Name to Website Finder: LEI & CIK avatar

Company Name to Website Finder: LEI & CIK

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$2.00 / 1,000 company rows

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Company Name to Website Finder: LEI & CIK

Company Name to Website Finder: LEI & CIK

Company name to website finder and enrichment from Wikidata (CC0): HQ, employees, industry, parent, ticker, LEI and SEC CIK for notable companies, or find by industry and country. Firm-level only; weak for small businesses. $2/1,000 rows. Not affiliated with Wikidata.

Pricing

$2.00 / 1,000 company rows

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InfoComp Data

InfoComp Data

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Company Name to Website Finder & Enrichment | Business Leads

Turn a list of company names into official websites, HQ city and country, employees, founded year, industry, parent company, stock ticker and exchange, LEI and SEC CIK. Or go the other way and find notable companies by industry, country, founded year, employee count or stock-exchange listing. Every row is one company with a match type and a confidence score, so you can judge each match.

All data is Wikidata structured data (CC0, public domain), read from the official Wikidata Query Service. No API key, no login, no scraping, no Wikipedia article text and no logos or images.

Be clear about coverage. Wikidata covers notable and larger companies (listed companies, big private firms, well-known startups and brands) very well and small local businesses poorly or not at all. If you need a plumber in Denver, use a business registry instead (see "Related tools"). If you need to clean up a list of recognisable company names, this tool is built for that.

Firm-level only. No CEO, founder, owner or any other person's name, no phone numbers, no emails and no street addresses are ever requested or returned.

Two modes

ModeUse it toYou giveYou get
Enrich ("mode": "enrich")Name to website, LEI and CIK. Clean up a company list.companyNames, domains and/or companies (name + domain pairs), up to 300 per runOne row per matched company, plus matchedQuery, matchType, matchConfidence. Names that are not found are free and are listed in the run's OUTPUT record.
Find ("mode": "find", default)Build a list of notable companies.Industries, countries (ISO codes), founded year range, minimum employees, listed-only, minimum notabilityThe most notable matching companies first (up to 500 per run).

What's in each row?

FieldMeaning
companyName, wikidataId, wikidataUrlCompany name and its Wikidata item (e.g. Q312).
website, domainOfficial website from Wikidata (preferred value, else the shortest current URL) and its host without www.
city, country, countryCode, countryCodesHeadquarters place as listed in Wikidata (if the HQ is a building, the place it is located in) and country. countryCodes lists every country Wikidata gives for the company.
employees, employeesYearLatest employee count in Wikidata and the year it refers to.
foundedYearYear of inception.
industriesIndustry labels from Wikidata (up to 6). They are community-entered and can be broad or odd.
parentOrganizationCurrent parent organization, if any.
tickerSymbol, stockExchange, listingsMain stock listing (home-country exchange preferred) and all listings Wikidata knows.
leiLegal Entity Identifier.
cik, cikPaddedSEC Central Index Key, without and with leading zeros. cik matches the cik field of Form D Funding Leads, so you can join the two.
mode, matchedQuery, inputDomainWhich mode produced the row and, in enrich mode, the name or domain you sent.
matchType, matchConfidence, candidateCount, alternativeWikidataIds, domainMatchHow the company was matched (see below). In find mode matchType is filter and the confidence is empty.
wikidataSitelinksNumber of Wikimedia pages linked to the item (a count only). A rough notability signal.
dissolvedtrue if Wikidata has a dissolved/abolished date (such companies are skipped unless you ask for them).
source, sourceUrl, license, disclaimer, retrievedAtCredit to Wikidata (CC0), link to the item, license, a short disclaimer and the retrieval time.

companyName, city, country, cik, source, sourceUrl and retrievedAt use the same names as the other InfoComp Business Leads tools, so outputs are easy to combine.

How matching works (enrich mode)

The name you send is compared with Wikidata English labels and aliases (exact text, then tolerant of case, a legal suffix such as Inc / Ltd / AG, & versus and). A domain is compared with the official website values (http/https, with or without www). Candidates must be real company-like items (not people, places or products): they need at least an identifier, industry, employee count, parent, legal form or a website with an HQ or founding date.

matchTypeMeaningBase confidence
name_and_domainName and domain agree0.99
domainOfficial website equals your domain0.97
exact_label / exact_aliasName equals the Wikidata label / an alias0.90 / 0.80
normalized_label / normalized_aliasMatched after case, suffix or & normalisation0.70 / 0.60

matchConfidence starts from that base and is lowered when several companies share the name and none is clearly the most notable (candidateCount tells you how many, alternativeWikidataIds lists the runners-up). It is a heuristic, not a probability. For ambiguous names send the domain as well.

Accents matter: Wikidata spells it "Nestlé", so "Nestle" is not found (and not charged). Use the official spelling.

Pricing

$2.00 per 1,000 company rows. One Company row event ($0.002) per saved row. There is no start fee and no run fee. Names that are not found, empty results, duplicates and failed runs are free. If you set a maximum cost per run, the Actor stops cleanly when it is reached.

RowsPrice
20 (default run)$0.04
100$0.20
1,000$2.00

Input

{
"mode": "enrich",
"companyNames": ["Tesla", "Siemens", "the coca-cola company"],
"domains": ["shopify.com"],
"companies": [{"name": "SAP", "domain": "sap.com"}]
}
{
"mode": "find",
"industries": ["banking", "insurance"],
"countries": ["DE", "FR"],
"minEmployees": 5000,
"listedOnly": true,
"maxResults": 50
}
FieldDefaultWhat it does
modefindfind or enrich.
companyNames, domains, companiesemptyEnrich mode. Up to 300 lookups per run (duplicates removed).
industriesemptyFind mode. 32 industry groups (software, banking, automotive, pharma ...); sub-industries in Wikidata are included.
industryWikidataIdsemptyFind mode, advanced: exact Wikidata industry items such as Q880371.
countriesemptyFind mode. ISO codes (US, GB, DE). Matches the company's country or HQ country.
minEmployees, foundedFrom, foundedTo, listedOnlynoneFind mode filters on the latest employee count, founding year and stock listing.
minSitelinks3Find mode notability floor. Lower it (0 to 2) to reach smaller companies; there are far fewer of them in Wikidata.
requireWebsitetrueSkip companies without an official website.
includeDefunctfalseInclude companies with a dissolved date.
maxResults20Stop after this many rows (max 500).

With no input at all the Actor runs a demo: the 20 most notable software companies in the United States.

A run summary (counts, filters, timing, query-service stats and, in enrich mode, every lookup that was not charged with its reason) is saved as OUTPUT (also RUN_SUMMARY) in the key-value store.

Output examples

Real rows from local test runs on Nov 3, 2026 (not trimmed).

Find mode (default input, one of 20 rows):

{
"companyName": "Adobe",
"wikidataId": "Q11463",
"wikidataUrl": "https://www.wikidata.org/wiki/Q11463",
"website": "https://www.adobe.com/",
"domain": "adobe.com",
"city": "San Jose",
"country": "United States",
"countryCode": "US",
"countryCodes": [
"US"
],
"employees": 25988,
"employeesYear": 2021,
"foundedYear": 1982,
"industries": [
"AI",
"artificial intelligence",
"information technology",
"software development",
"software industry"
],
"parentOrganization": null,
"tickerSymbol": "ADBE",
"stockExchange": "Nasdaq",
"listings": [
{
"exchange": "London Stock Exchange",
"ticker": "ABS"
},
{
"exchange": "Nasdaq",
"ticker": "ADBE"
}
],
"lei": "FU4LY2G4933NH2E1CP29",
"cik": "796343",
"cikPadded": "0000796343",
"mode": "find",
"matchedQuery": null,
"inputDomain": null,
"matchType": "filter",
"matchConfidence": null,
"domainMatch": null,
"candidateCount": null,
"alternativeWikidataIds": [],
"wikidataSitelinks": 87,
"dissolved": false,
"source": "Wikidata (https://www.wikidata.org), structured data released under CC0 1.0 (public domain), queried through the Wikidata Query Service (query.wikidata.org).",
"sourceUrl": "https://www.wikidata.org/wiki/Q11463",
"license": "CC0 1.0 (Wikidata structured data)",
"disclaimer": "Data comes from Wikidata (CC0) and is community-edited: it can be wrong, out of date or missing. Coverage focuses on notable, larger companies. Not affiliated with or endorsed by Wikidata or the Wikimedia Foundation.",
"retrievedAt": "2026-11-03T20:39:20Z"
}

Enrich mode ({"name": "Siemens", "domain": "siemens.com"}):

{
"companyName": "Siemens",
"wikidataId": "Q81230",
"wikidataUrl": "https://www.wikidata.org/wiki/Q81230",
"website": "https://www.siemens.com/",
"domain": "siemens.com",
"city": "Berlin",
"country": "Germany",
"countryCode": "DE",
"countryCodes": [
"DE"
],
"employees": 320000,
"employeesYear": 2023,
"foundedYear": 1847,
"industries": [
"biomedical engineering",
"electrical engineering",
"electrical industry",
"electronics industry",
"lighting technique",
"mechanical engineering"
],
"parentOrganization": null,
"tickerSymbol": "SIE",
"stockExchange": "Frankfurt Stock Exchange",
"listings": [
{
"exchange": "Frankfurt Stock Exchange",
"ticker": "SIE"
},
{
"exchange": "Frankfurter Wertpapierbörse",
"ticker": "SIE"
}
],
"lei": "529900ZZVLZ93I1AW009",
"cik": null,
"cikPadded": null,
"mode": "enrich",
"matchedQuery": "Siemens",
"inputDomain": "siemens.com",
"matchType": "name_and_domain",
"matchConfidence": 0.89,
"domainMatch": true,
"candidateCount": 3,
"alternativeWikidataIds": [
"Q12054212",
"Q28970984"
],
"wikidataSitelinks": 79,
"dissolved": false,
"source": "Wikidata (https://www.wikidata.org), structured data released under CC0 1.0 (public domain), queried through the Wikidata Query Service (query.wikidata.org).",
"sourceUrl": "https://www.wikidata.org/wiki/Q81230",
"license": "CC0 1.0 (Wikidata structured data)",
"disclaimer": "Data comes from Wikidata (CC0) and is community-edited: it can be wrong, out of date or missing. Coverage focuses on notable, larger companies. Not affiliated with or endorsed by Wikidata or the Wikimedia Foundation.",
"retrievedAt": "2026-11-03T20:39:41Z"
}

Performance

Local runs on Nov 3, 2026 (about 2:25 to 2:45 PM Central), the default input (20 rows): 3.7 to 23.1 seconds of Actor time over 10 runs (median about 7 s), always with 2 SPARQL queries and about 73 MB of memory. The spread is the Wikidata Query Service's response time (a query it has not seen recently can take 15 to 20 seconds), not our code. An enrich run of 21 lookups (16 companies found, 5 not found and not charged) took 3.6 to 13.6 seconds with 3 queries. A 300-row find run took 35 seconds. Default memory is 256 MB.

Good to know

  • Coverage: notable and larger companies. Small and local businesses are mostly missing, and many entries lack employees, LEI or CIK. Expect gaps.
  • Quality: Wikidata is community-edited. Values can be outdated or wrong (for example an old employee count, or an acquired company still listed). Check what matters before you rely on it. employeesYear shows how old a count is.
  • Industries use Wikidata's own labels and can be broad or unusual.
  • Several websites / exchanges: we pick the preferred or shortest website and a home-market ticker; listings has the rest.
  • Politeness: one run makes only 2 to 4 requests to the Wikidata Query Service, one at a time, with a descriptive User-Agent, and backs off on HTTP 429/5xx. If the service is overloaded the run fails cleanly and nothing is charged.

Source, terms and disclaimer

  • Source: Wikidata, queried through the Wikidata Query Service. Wikidata's structured data (items and properties) is released under CC0 1.0 (public domain): https://www.wikidata.org/wiki/Wikidata:Licensing. We credit Wikidata in every row.
  • Not affiliated with or endorsed by Wikidata, Wikimedia Deutschland or the Wikimedia Foundation. "Wikidata" and "Wikimedia" are their trademarks; we use the names only to name the data source and show no logos.
  • The Actor follows the Wikimedia User-Agent policy and the Query Service limits (60 second query limit, polite request rate). See the User-Agent policy: https://foundation.wikimedia.org/wiki/Policy:User-Agent_policy.
  • Found a wrong value? Every row has a wikidataUrl: the fix belongs in Wikidata itself (anyone can edit it), and the Wikidata community also runs a Mismatch Finder for reporting data issues.
  • Data is provided as is, with no warranty. It can be incomplete or out of date. Use it in line with your own legal and marketing obligations.

FAQ

Is this the official source for company websites or identifiers? No. It is an independent tool that reads Wikidata. For legal identity use the LEI registry (GLEIF) and SEC EDGAR directly.

Does it find small businesses? Rarely. Wikidata is weak for small businesses. For new local companies use New Business Filings Leads: Colorado.

Does it return executives, founders, emails or phone numbers? No. By design it is firm-level only.

Why was my name not found? The spelling or accents differ from Wikidata's label, the company is not in Wikidata, or it has no company-like data. Try the official name, add the website domain, or check the unmatched list in OUTPUT.