Job Parser

The RChilli Job Parser 3.1 is a scalable solution designed to streamline job data extraction by efficiently processing job descriptions and vacancies through a REST API.

Powered by AI/ML technologies, the parser accurately extracts job data and enriches it using RChilli’s advanced Taxonomy, which includes comprehensive libraries for job profiles and skills. This extensive taxonomy enhances search accuracy by providing job aliases and related terms, making it fully compatible with search engines like Solr and Elasticsearch..

The parser converts unstructured job descriptions into a structured, machine-readable JSON format, supporting real-time processing of job data in multiple languages.

Key Features

  1. REST API Integration: Seamlessly integrates with your systems via REST API, enabling efficient extraction of over 200 data fields from resumes.
  2. Bulk Import and Parsing: Simultaneously processes large volumes of resumes, delivering structured data for efficient job posting and internal processes.
  3. Email Inbox Integration: Handles resumes directly from single or multiple email inboxes, delivering structured JSON output instantly.
  4. Job Feed Sync: Synchronizes job feeds, ensuring that the latest job postings are processed and structured data is generated for job listing updates.
  5. Multi-language Support: Parses job descriptions in various languages and delivers structured JSON output.
  6. Real-Time Processing: Handles job descriptions from single or multiple email inboxes, delivering results instantly.
  7. Taxonomy Integration: Enhances search accuracy by indexing taxonomy ontologies into Solr/Elasticsearch.
  8. Bulk Processing: Simultaneously processes multiple job descriptions, providing structured data for efficient job posting and internal processes.
  9. Structured Job Posting: Automatically generates structured job posts, aiding in clear and concise internal job listings.
For more details, refer Features.

Use Case

  1. Job Data Automation: Extracts complete job information from job feeds and simplifies the job posting process.
  2. Enhanced Search Capabilities: Improves search outcomes by leveraging enriched job and skill data.
  3. Efficient Job Management: Processes job data from emails and external feeds, providing structured output in seconds.
  4. Multi-language Parsing: Supports parsing of job descriptions in multiple languages, catering to global hiring needs.

How JD Parser Helps

  1. Enhanced Candidate Experience: Ensures clear and structured job descriptions are presented to candidates, improving their application process.
  2. Operational Scalability: Facilitates large-scale processing of job data, allowing organizations to manage and post jobs more efficiently.
  3. Improved Search Results: Leverages RChilli’s extensive Taxonomy to deliver accurate and relevant search outcomes, boosting overall search capabilities.
  4. Quick Data Conversion: Converts unstructured job descriptions into structured data swiftly, saving time and effort in job data management.

For more details on the Job information extracted, refer to the Response Schema and for specific use cases, refer JD Parser Use Case.