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CareerCross Scraper

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CareerCross Scraper

CareerCross Scraper

Developed by

BowTiedRacoon

BowTiedRacoon

Maintained by Community

Scrape job listings from CareerCross.jp

0.0 (0)

Pricing

Pay per usage

0

Total users

1

Monthly users

1

Last modified

11 days ago

Ultimate Career Cross Scraper: Extract Job Listings with Ease

Looking to streamline your job search or enhance your talent acquisition services? Our Career Cross Scraper efficiently extracts valuable job listings and relevant information from the Career Cross website, making it an essential tool for businesses and job seekers alike.

Key Features of the Scraper

  • Comprehensive Job Listings Extraction: Easily gather essential details of job openings, including the job title, company name, location, and salary range.
  • Dynamic Pagination Handling: Automatically traverses multiple pages of job listings, ensuring you collect all available data without missing a beat.
  • In-Depth Detail Page Scraping: Access additional insights from individual job detail pages, giving you a thorough understanding of each opportunity.

Ideal Use Cases

  • Recruitment Agencies: Compile a robust database of candidates and open positions to target potential hires effectively.
  • Job Boards: Aggregate job listings effortlessly, providing users with a comprehensive and user-friendly job search platform.
  • Market Researchers: Analyze job market trends, salaries, and necessary skills across specific regions or industries for deeper insights.

Input Schema

For optimal operation, utilize the following JSON format to specify inputs for the scraper:

1{
2  "prefectures": ["Tokyo", "Kanagawa"],
3  "maxItems": 100,
4  "jobTypes": ["full-time", "part-time"],
5  "datesPosted": ["last_24_hours", "last_7_days"]
6}

Explaining Input Fields

  • prefectures: Define your job search scope with an array of Japanese prefectures. For instance, ["Tokyo", "Kanagawa"] targets job opportunities in Tokyo and Kanagawa.
  • maxItems: Set a cap on the number of job listings to retrieve (e.g., 100).
  • jobTypes: Optionally filter listings by job type, such as ["full-time", "part-time"].
  • datesPosted: Narrow your search to recent postings, utilizing options like ["last_24_hours", "last_7_days"].

Sample Output Format

A successful scraping session could generate data in this format:

1[
2  {
3    "jobTitle": "Software Engineer",
4    "company": "Tech Innovations",
5    "location": "Tokyo, Tokyo",
6    "salary": "12,000,000¥",
7    "jobLink": "https://www.careercross.com/en/job/detail-1494902?sid=64776616&page=4",
8    "datePosted": "2023-10-10"
9  },
10  {
11    "jobTitle": "Marketing Specialist",
12    "company": "Creative Solutions",
13    "location": "Tokyo, Tokyo",
14    "salary": "7,000,000¥",
15    "jobLink": "https://www.careercross.com/en/job/detail-1475215?sid=64776616&page=1",
16    "datePosted": "2023-10-05"
17  }
18]

Need More Features?

If you're looking to expand the functionalities of this scraper or require a custom solution for different scraping needs, feel free to reach out! We're eager to customize the scraper to meet your specific requirements.

Why Choose Our Career Cross Scraper?

  • Highly Efficient: Manage large-scale scraping tasks with advanced session and concurrency management.
  • Adaptable: Tailor input options to align with your precise scraping objectives.
  • Dependable: Equipped with error-handling mechanisms to ensure smooth operation without interruptions.

Proxies and Anti-blocking Measures

Our scraper comes with Apify Proxy support or allows for custom proxy configurations to minimize the risk of being blocked. It also offers automatic session management for seamless and uninterrupted scraping.

Take control of your job search or recruitment efforts today with the Career Cross Scraper—the ultimate tool for efficient job market analysis and candidate sourcing!