Dice Job Scraper ## Overview Dice Job Scraper is a powerful tool designed to extract job listings from Dice.com. It automates job data collection, providing details like job title, company, salary, location, employment type, and more. The scraper is ideal for job seekers, recruiters, and data analysts who want to streamline their job search or analysis. ## Features - Extracts job details including Title, Company, Location, Salary, Employment Type, and more. - Filters jobs based on location, employment type, work setting, and employer type. - Supports search radius customization in miles or kilometers. - Includes Easy Apply and Visa Sponsorship filters. - Provides structured JSON output for easy integration with other tools. ## Input Parameters To customize the scraping process, the following input parameters can be provided: | Parameter | Type | Description | Example | |-----------|------|-------------|---------| | Job Keyword | String | Enter the job title or keyword to search for. | Data Scientist | | Job Location | String | Enter the city and state for job search. | New York, NY, USA | | Search Radius | Integer | Radius in miles or kilometers around the location. | 30 | | Distance Unit | String | Unit for the search radius (mi or km). | mi | | Number of Jobs | Integer | Number of job listings to scrape. | 100 | | Posted Date | String | Filter jobs based on posting date (Any Date, Today, Last 3 Days, Last 7 Days). | Today | | Employment Type | Array | Select one or more employment types (Full-time, Part-time, Contract, Third Party). | ["Full-time"] | | Employer Type | Array | Select one or more employer types (Direct Hire, Recruiter, Other). | ["Direct Hire"] | | Work Settings | Array | Select job location preference (Remote, On-site, Hybrid). | ["Remote"] | | Easy Apply | Boolean | Include only jobs with 'Easy Apply' option. | true | | Work Authorization Sponsorship | Boolean | Include only jobs where the employer offers visa sponsorship. | true | ## Output Fields The scraper extracts the following job details: | Field Name | Description | |------------|-------------| | Title | Job title of the listing. | | Company | Name of the hiring company. | | Company Page URL | Link to the company’s Dice profile. | | Company Logo URL | URL to the company’s logo. | | Location | Job location (City, State, Country). | | Posted Date | Date when the job was posted. | | Modified Date | Date when the job was last modified. | | Details Page URL | Direct link to the job posting. | | Salary | Estimated salary for the position. | | Employment Type | Job type (Full-time, Part-time, etc.). | | Client Brand ID | Identifier for the employer brand. | | Summary | A short job description. | | Job ID | Unique identifier for the job listing. | | Score | Relevance score of the job listing. | | Easy Apply | Indicates whether the job has an easy apply option. | | Willing To Sponsor | Specifies if the employer offers visa sponsorship. | | Employer Type | Specifies if the job is a direct hire, recruiter, or other type. | | Work From Home Availability | Specifies if the job allows remote work. | | Is Remote | Boolean value indicating if the job is fully remote. | | GUID | Unique identifier for the job, excluding placeholders. | | Workplace Types | Specifies if the job is on-site, remote, or hybrid. | ## Usage Instructions 1. Clone the repository or download the script. 2. Set up your environment and install dependencies. 3. Provide input parameters in JSON format. 4. Run the scraper and collect the output in structured JSON format. 5. Use the data for job analysis, applications, or further processing. ## Output Screenshots Below are sample screenshots of the extracted job listings: ## Disclaimer This scraper is intended for educational and research purposes only. Use responsibly and ensure compliance with Dice.com’s Terms of Service.