Japanese Address & Company Name Normalizer

Transform company name normalizer inputs into structured rows, clear errors, confidence signals, and automation-ready output.

Japanese address geocoding, normalization and romaji conversion. Parses prefecture, city, town, chome and banchi, then returns the JIS municipality code, postal code, latitude/longitude and the English mailing address. 99.33% measured accuracy, from government open data.

Scrape Japanese tech job listings from Green, one of Japan's largest IT job boards. Returns job title, company, salary range parsed into yen, prefecture, required skills, company size and founding year. Japanese text is returned exactly as published, never transliterated.

Address Validation & Normalizer (Bulk, US/CA/UK)

nibble/address-validation-normalizer

Bulk-validate, parse and standardize postal addresses to clean JSON. No API keys. Pay per address.

Parses mainland China addresses into province, city, county, administrative codes, and normalized detail addresses.

Nordic Company Registry

blackbuck/nordic-company-registry

Search company registries across Norway, Denmark, and Finland. Returns structured data: registration numbers, addresses, legal forms, industry codes, and company status — all normalized into clean JSON. Real-time data from official government APIs. Pay-per-result pricing.

Look up legal entities worldwide from the GLEIF LEI database. Search by company name or LEI code and get legal name, registered address, jurisdiction, registration number, legal form, status, parent company and BIC. Keyless, structured, joinable.

Normalize CSV and JSON rows into stable, typed, automation-ready records.

Google Maps Japan Scraper — Email + Business Leads

totaka/google-maps-japan-scraper

Extract Japanese business leads from Google Maps — name, address, phone, email, website, rating and GPS. Emails auto-extracted from websites. Works in English and Japanese. $0.001/result.

Extract structured entities from free text: email addresses, URLs, phone numbers (incl. Japanese formats and full-width digits), dates (ISO, slash, Japanese 年月日) and IP addresses. Deterministic regex extraction with per-kind counts — fast, cheap, no LLM.