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.
The following topics in this section describe the features of the JD parser.
RChilli is a global leader in Parsing, Matching, and Data Enrichment solutions, seamlessly integrating with recruiting platforms to enhance efficiency and accuracy.
This topic outlines the use cases supported by RChilli products. You can select the necessary products based on your specific use case requirements.
The RChilli Resume Parser is a scalable solution designed to enhance user experience by efficiently extracting candidate data across 200+ fields through a REST API.
An API (or Application Programming Interface) is the code that allows applications to talk to each other.
This topic explains the procedure on how to parse JD in RChilli My Account.
JD parser API will act as a parsing service via Rest API call, extract the parameters from a job description and return all the job information from the job feeds as JSON in a structured format.
RChilli Bulk Upload is used to parse multiple JD files that are placed in the FTP server. The multiple JD placed in the FTP server are parsed, and their JSON output is posted on your webhook URL.
Email inbox integration allows users to parse JD from registered email with RChilli email inbox. This feature requires a simple process and a quick one-time setup.
The JD parsing capabilities have been enhanced using RChilli Taxonomy 3.0. Users can enhance their resumes/job searching capabilities.
RChilli JD parser supports parsing of multiple languages, it does not require any separate configuration. The parser auto-identifies the languages of the JD and extracts the information.
This topic gives JD parser code samples to get you start quickly.
To get the parsed and structured output data, send a POST request to the JD Parser API URL.
Follow the below sample JD parser response in the JSON format and fields details in c_RChilli_JD_parser_Response_Schema.html.
The following topics describe the output or fields in the resume parser response.
This topic lists the error codes of JD parser.
The RChilli Search & Match API enhances your ability to find and match candidates and jobs with greater relevance and accuracy compared to traditional database searching methods. By filtering resume data through global industry-standard ontologies and taxonomies, it delivers precise and enriched search results.
RChilli Taxonomy 3.0 offers an extensive and meticulously curated collection of skills and job profiles, providing rich, related information for enhanced job and resume searching capabilities.
RChilli Resume Redactor API helps in masking resumes before sending them to the employer.
The components of RChilli application can be integrated with the Oracle HCM Cloud, Oracle PeopleSoft, Salesforce, and SAP Application.
RChilli provides a dedicated portal for the partner's to manage their company details.
The RChilli provides Plugins, such as Resume_Templater_plugin.html, Document_Converter_plugin.html, NER_Tagger_plugin.html, Contact Extractor, GeoLocation_plugin.html, Job_Zone_Plugin.html, and flex_requests_plugin_overview.html that extend the capabilities of the RChilli products.
The resume parser output can be enriched by activating the other application workflows that are listed on the Enrichment Marketplace such as Lusha, BOLD, Toofr, Rchilli Redact, LLM Parser, etc.
This topic describes the transaction cost for using RChilli API and how to subscribe to a new plan or update an existing plan.
You can quickly get started with RChilli APIs using Postman.
Release notes comprise new features, improvements, and bug fixes for the following RChilli products.
The glossary includes terms and definitions in RChilli Knowledge Center.
