Shine Jobs Scraper

Shine Jobs Scraper – Job Listings Extraction

The Shine Jobs Scraper is a tool designed to extract job listings from shine.com

It collects job details at scale for recruitment, lead generation, HR analytics, and labor market research.

The scraper extracts data from both search result pages and direct job URLs, including key information such as:

Job title and industry

Salary and experience required

Contact information (email, phone number)

Location (city, state, country)

Keywords, tags, and job categories

Posting date and application deadlines

🔹 Key Metrics

Job ID: Unique identifier for each job listing

Job Title: Name of the position

Company Name: Hiring organization

Salary: Salary range or indication if hidden

Experience Required: Years of experience

Location: City, state, and country

Job Category / Industry: Sector or specialization

Job Keywords: Skills and tools required

Contact Info: Email, phone number

Application Details: URL, posting date, job type, vacancies

##💡 Use Cases

Recruitment Lead Generation – Identify and collect active job openings.

Market Research – Analyze hiring trends in industries, skills demand, and salary ranges.

HR Analytics – Benchmark job requirements and compensation.

Automation – Feed extracted jobs into databases, CRMs, or dashboards.

Competitor Analysis – Track hiring patterns of competitors and industry leaders.

Output example

Job from Search url

{
  "id": "17754379",
  "url": "https://www.shine.com/jobs/python-trainer/quastech/17754379",
  "jAC": false,
  "jInd": "Education / Training",
  "jJT": "Python Trainer",
  "jRUrl": null,
  "jRP": "8422800389",
  "jRE": "resource@quastech.in",
  "jHCD": false,
  "jHRPBA": true,
  "jCName": "Quastech. Hiring For quastech",
  "jSal": "Rs 2.0  - 3.0 Lakh/Yr",
  "jCID": 740468,
  "jLoc": [
    "Mohali"
  ],
  "jPDate": "2025-09-05T13:13:05",
  "jCL": null,
  "jKwd": "tableau, django, power bi, advanced excel, css, html, sql,tkinter, core python, advance python",
  "jExp": "0 to 3 Yrs",
  "jRR": 1,
  "jJobType": 1,
  "jExpDate": "2025-11-04T00:00:00",
  "is_shortlisted": false,
  "jSlug": "python-trainer/quastech/17754379",
  "jPJ": 0,
  "jHJ": 0,
  "jEType": 1,
  "jTypeC": 1,
  "jSLA": 0,
  "jVanc": 2,
  "jQL": 0,
  "early_applicant_badge": false,
  "jET": null,
  "jPack": null,
  "jSJ": [],
  "jHF": "quastech",
  "jCrwSt": 0,
  "jJBL": 1,
  "jLU": null,
  "jWM": 0,
  "iaj": true
}

Job from direct url

{
  "id": "17905996",
  "jAC": false,
  "jInd": "IT Services & Consulting",
  "jJT": "Software Engineer II Python Big Data Spark",
  "jRUrl": null,
  "jRP": "hidden_mobile",
  "jRE": "hidden_email",
  "jCD": "JPMC Candidate Experience page",
  "jHCD": true,
  "jHRPBA": true,
  "jCName": "JPMC Candidate Experience page",
  "jSal": "[Salary Hidden]",
  "jSalMinID": null,
  "jSalMaxID": null,
  "jCID": 769865,
  "jJD": "As a Software Engineer II at JPMorgan Chase within the Corporate Technology, you will be part of an agile team working to enhance, design, and deliver software components in a secure, stable, and scalable way. You will execute software solutions through design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. You will also contribute to the team culture of diversity, equity, inclusion, and respect.\n\n- Executes standard software solutions, design, development, and technical troubleshooting\n- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance\n- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications\n- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation\n- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity\n- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development\n- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems\n\nQualifications Required:\n- Formal training or certification on software engineering concepts and 2+ years applied experience\n- Hands-on practical experience in system design, application development, testing, and operational stability\n- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages\n- Proficient in coding in Java, Python, and Spark\n- Knowledge on Restful Microservices using Spring Boot or Python web framework\n- Build data pipelines using Bigdata, Spark\n- Hands-on experience on AWS\n- Experience across the whole Software Development Life Cycle\n- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security\n- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n\nAdditional Details:\n- Exposure to modern front-end technologies is preferred\n- Exposure to cloud technologies\n- Familiarity with terraform and containerization (Kubernetes/ECS),",
  "jLoc": [
    "Hyderabad",
    "Telangana"
  ],
  "jPDate": "2025-10-05T10:46:10",
  "jCL": null,
  "jKwd": "Java, Python, Spark, Spring Boot, AWS, Bigdata, Software Development Life Cycle, Security, Containerization,Restful Microservices, CICD, Application Resiliency, Frontend technologies, Terraform",
  "jArea": [
    "General / Other Software"
  ],
  "jExp": "2 to 6 Yrs",
  "jKwds": "Java, Python, Spark, Spring Boot, AWS, Bigdata, Software Development Life Cycle, Security, Containerization",
  "jRR": 1,
  "jJobType": 1,
  "jWLC": "",
  "jExpDate": "2025-12-04T10:46:01",
  "is_shortlisted": false,
  "jSlug": "software-engineer-ii-python-big-data-spark/jpmc-candidate-experience-page/17905996",
  "jPJ": 0,
  "jHJ": 1,
  "jEType": 1,
  "jTypeC": 1,
  "jCRW": 0,
  "jSLA": 0,
  "jVanc": null,
  "jQL": 0,
  "jET": null,
  "jPack": null,
  "jSJ": [],
  "jHF": "JPMC Candidate Experience page",
  "jTag": [
    "data science & machine learning",
    "spark",
    "spring",
    "java",
    "python",
    "software development",
    "back end developer",
    "data science & analytics",
    "spring boot",
    "data engineer",
    "engineering - software & qa"
  ],
  "jCrwSt": 1,
  "jJBL": 0,
  "jLU": "",
  "jWM": 0,
  "j_loc_state": [
    {
      "loc": "Hyderabad",
      "state": "Telangana"
    },
    {
      "loc": "Telangana",
      "state": ""
    }
  ],
  "min_salary": "",
  "max_salary": "",
  "early_applicant_badge": false,
  "jJDM": null,
  "jCDM": null,
  "job_keywords": [
    {
      "Java": true
    },
    {
      "Python": true
    },
    {
      "Spark": true
    },
    {
      "Spring Boot": true
    },
    {
      "AWS": true
    },
    {
      "Bigdata": true
    },
    {
      "Software Development Life Cycle": true
    },
    {
      "Security": true
    },
    {
      "Containerization": true
    },
    {
      "Restful Microservices": false
    },
    {
      "CICD": false
    },
    {
      "Application Resiliency": false
    },
    {
      "Frontend technologies": false
    },
    {
      "Terraform": false
    }
  ],
  "g_job_flag": true,
  "breadcrumb": "python",
  "L4": [
    "spark",
    "java",
    "python"
  ],
  "L5": [
    "spring",
    "spring boot"
  ],
  "L3": [
    "data science & machine learning",
    "software development",
    "back end developer",
    "data engineer"
  ],
  "iaj": false
}

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