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CareerCross Scraper: Japan Bilingual Jobs

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from $1.99 / 1,000 jobs

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CareerCross Scraper: Japan Bilingual Jobs

CareerCross Scraper: Japan Bilingual Jobs

Scrape CareerCross Japan bilingual jobs. Extract JPY salaries, company data, and required language levels. Drop-in for HubSpot, Salesforce, and Airtable. Skip slow browser automation and expensive proxy costs. $1.99 per 1,000 results.

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from $1.99 / 1,000 jobs

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GetAScraper

GetAScraper

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CareerCross Scraper: Japan Bilingual Job Listings

CareerCross job scraper and Japanese bilingual recruitment data extraction API. Extract public job vacancies, hiring companies, parsed salary ranges, required English and Japanese proficiency levels, visa statuses, industries, and full plain-text descriptions from careercross.com with this Apify Actor. Bypasses blocking without browser overhead using fast, static Cheerio code, delivering clean structured datasets in English or Japanese.

Whether you are a global recruitment agency tracking multinational hiring trends across Japan, an HR analytics platform benchmarking JPY salary scales, or a sales development team sourcing foreign companies currently expanding locally, this Actor delivers complete recruitment datasets on a scheduled basis.


What does CareerCross Scraper do?

  • Highly Optimized Performance: Connects directly to the static search results and detailed job pages, avoiding the overhead of browser-based automation like Playwright or Puppeteer.
  • Stable Google Jobs Selectors: Targets explicit, hardcoded DOM identifiers (e.g., #jsonld-job-title, #jsonld-base-salary attributes) utilized by CareerCross for Google Jobs structured data, making the scraper extremely resilient to structural changes.
  • Precise Salary Extraction: Normalizes salary text on-the-fly, extracting minimum and maximum bounds, currency (always JPY), and pay frequency.
  • Multi-Language UI Support: Supports scraping via both English /en/ and Japanese /jp/ paths, allowing you to extract bilingual recruitment details seamlessly.

Why use CareerCross Scraper?

CareerCross is Japan's premier job board for bilingual professionals, global corporations hiring locally, and international talent. It hosts thousands of high-paying vacancies across executive leadership, finance, marketing, technology, and engineering.

Use this Actor to:

  1. Squeeze B2B Leads: Target hiring-intent global companies currently expanding their presence in Tokyo and greater Japan.
  2. Benchmark Local Compensation: Extract precise JPY salary ranges by industry and career level to track localized bilingual compensation scales.
  3. Populate Job Directories: Aggregate and display foreign-affiliated and multinational job vacancies on your own specialized job search portals.

How to Scrape CareerCross Data Step-by-Step

  1. Open the Input tab in Apify Console.
  2. Configure Input Mode (choose from keyword search, direct URLs, or exact numeric job IDs).
  3. Specify search parameters like Search Keyword (e.g., "engineer") and UI Language (English en or Japanese ja).
  4. Click Start and export your clean dataset.

Input

FieldTypeDescriptionDefault
modestringsearch (keyword search), urls (direct URLs), or ids (numeric job IDs)."search"
keywordstringFilter jobs by title keywords or skills (e.g., "engineer")."engineer"
languagestringTarget interface locale ("en" or "ja")."en"
startUrlsarraySpecific careercross.com search or listing URLs.[]
jobIdsarrayList of exact numeric Job IDs to scrape directly.[]
maxItemsintegerHard cap on total results returned.100
proxyConfigurationobjectProxy settings. Bypassing is unshielded, so standard proxies are recommended.{"useApifyProxy": true}

Output Example

Each dataset item represents a single job vacancy.

{
"job_id": "1543051",
"url": "https://www.careercross.com/en/job/detail-1543051?sid=76064917&page=1",
"title": "【Senior Software Engineer】Permanent/Foreign Engineer WELCOME",
"company_name": "Human Resocia Co.,Ltd.",
"company_url": "https://www.careercross.com/en/company/detail-37907",
"location": "Available across Japan",
"employment_type": "Other",
"salary_min": 4000000,
"salary_max": 6000000,
"salary_currency": "JPY",
"english_level": "Minimum English Level: Business Level",
"japanese_level": "Minimum Japanese Level: Business Level",
"visa_status": "No permission to work in Japan required",
"industry": "",
"description_html": "<p>We are currently a global company with more than 500 foreign engineers...</p>",
"description_text": "We are currently a global company with more than 500 foreign engineers from about 60 countries actively working. You will be working on projects by clients...",
"date_posted": "2026-06-01T22:30:20.000Z",
"scraped_at": "2026-06-07T02:05:14.610Z"
}

Data Fields Explanation

Field NameFormatDescription
job_idtextUnique numerical ID parsed from the detail URL path.
urllinkDirect canonical link of the CareerCross job vacancy.
titletextJob title (Japanese, English, or bilingual).
company_nametextHiring company display name.
company_urllinkDirect link to the company profile page on CareerCross.
locationtextPrefecture, city, or district hub in Japan.
employment_typetextJob classification (Permanent Full-time, Contract, etc.).
salary_minnumberMinimum annual salary bound in JPY.
salary_maxnumberMaximum annual salary bound in JPY.
salary_currencytextAlways JPY.
english_leveltextMinimum English proficiency required.
japanese_leveltextMinimum Japanese proficiency required.
visa_statustextVisa requirement status for working in Japan.
industrytextMarket category of the employer.
description_htmlhtmlExtracted, unstripped HTML job description section.
description_texttextPlain-text job description section.
date_posteddateISO 8601 timestamp of listing update.
scraped_atdateISO 8601 scraping timestamp.

How Much Does It Cost to Scrape CareerCross?

$1.99 per 1,000 results.

We offer high-value bilingual recruitment data at a lower price point than specialized international competitors. Because the platform loads listings natively via server-side rendered HTML, there is zero headless browser overhead or expensive residential proxy data transfer fees. A typical run for 1,000 results completes in under a minute and incurs negligible platform compute costs.


Advanced Options & Tips

  • Mode Versatility: Use search mode for keyword exploration. Use urls mode when you already have specific pagination paths. Use ids mode for refreshing previously saved listings directly.
  • Locale Normalization: We recommend keeping language set to "en" (English) to ensure table fields and requirements default to English-labeled keys, making downstream database mapping much easier.

FAQ (Frequently Asked Questions)

How does this scraper bypass bot protections?

CareerCross operates behind Cloudflare edge proxies. However, its bot management posture is highly permissive. The scraper uses advanced browser-like header fingerprinting and request rotation, allowing it to execute safely and cleanly on standard datacenter proxies without encountering JavaScript challenge walls or blocks.

Do I need a login or API Key?

No. All CareerCross job listings are fully public and require no authentication or cookies to read.

No. CareerCross loads intermediate recruiter redirections and secure application modals behind session-locked endpoints. This is a platform-level restriction, and all CareerCross scrapers share this same behavior. The scraper will output the standard apply_type (internal or external form) where applicable.


Disclaimers & Support

This Actor is an independent web scraping tool and is not affiliated with, endorsed by, or sponsored by CareerCross Co., Ltd., careercross.com, or any of their subsidiaries or affiliates. All trademarks are the property of their respective owners.

The scraper accesses only public, unauthenticated job listings of the CareerCross website, matching data the platform serves to any public user. Users are responsible for ensuring compliance with CareerCross Terms of Service and local data regulations (e.g., Japan's APPI).

If you encounter issues or have custom requirements, please submit a report on our repository's Issues tab. For custom scraping or dataset services, contact the author's profile.