Endpoint, Method and Parameter

The endpoints indicate how you access the API, while the method indicates the allowed interactions (such as GET, POST, or DELETE) with the resource.

JD Recommendation API

The JD Recommendation API is defined as follows:

HTTP Request:

URL: https://plugin.rchilli.com/RChilliPlugin/rchilli/jdRecommendation
Accept: application/json
Response Type: JSON

API Endpoint

The JD Recommendation API endpoint returns the parsed data in the JSON format. See the below JD Recommendation API endpoint:

/jdRecommendation

API Method

The JD Recommendation API uses only the POST method.

Request Headers


Header	Data Type	Description
Content-Type	string	Indicates the input type of the incoming request body. The only supported value is `application/json`.

API Parameters

The JD Recommendation API requires the following parameters in the JSON request format:


Name	Type	Description	Remarks
filedata	String	JD binary data in base64	Required
filename	String	JD with name extension (e.g. JDSample.docx). Supported extensions are doc/docx/dot/rtf/pdf/otd/dotx/docm/txt/htm/html	Required
jsondata	String	JD parsed json in base64 format	Required only if filedata/filename is missing
userkey	String	Valid User Key as provided by RChilli, see How to get user key.	Required
version	String	Valid version as provided by RChilli	Required
subuserid	String	Your unique subuser_id Note: Make sure that there is no space in your subuser_id	Required

JSON Request For JD Recommendation plugin API

Below is the sample API Request in JSON Format:

{
    "userkey": "Use your userkey",
    "subuserid" : "Use your subuserid",
    "version": "1.0.0",
    "filedata": "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    "filename": "Sample.docx"
}

API Response Parameters

Follow the below table for the JD Recommendation plugin API response parameters details.


Name	Type	Description
JDParsedData	Array	This array contains JD parser output schema, see Response Schema for more details.
JDRecommendations	Array	This array contains the JD missing details and recommendation.

JSON Response For JD Recommendation plugin API

Below is the Sample API Response in JSON Format:

{
    "JDParsedData": {
        "FileName": "Sample.docx",
        "JDLanguage": {
            "Language": "English",
            "LanguageCode": "en"
        },
        "ParsingDate": "28/05/2025 12:38:50.658",
        "JobProfile": {
            "Title": "Java Developer",
            "Alias": "Application Developer - Java, Application Developer Java, Applications Developer Java, Developer - Java, Developer Freelance Java, Developer Java, Developer of Java, Developer of Freelance Java, Engineer Java Development, Enterprise Java Developer, Freelance Java Developer, Freelance Java Programmer, Front-End Java Developer, Java - Web Developer, Java And Web Developer, Java Application Developer, Java Application Engineer, Java Apps Developer, Java Back End Engineer, Java Code Developer, Java Core Developer, Java Designer, Java developer, java development engineer, Java DevOps Engineer, Java Engineer, Java Expert, Java Flex Developer, Java Front End Developer, Java Front End Web Developer, Java Front-end Developer, Java Professional, Java Professional Developer, Java Programmer, Java Project Engineer, Java Software Developer, Java Software Development Engineer, Java Software Engineer, Java Solutions Developer, Java Specialist, Java Systems Developer, Java Test Developer, Java Web Application Developer, Java Web Developer, Java Web Programmer, Java Weblogic Developer, Java-Developer, Java-Software Engineer, Programmer Java, Programmer of Java, Software Developer Java, Software Developer-Java, Software Engineer Java, Software Java Developer, Technical Java Developer, Web Programmer Java",
            "FormattedName": "Java Developer",
            "RelatedSkills": [
                {
                    "Skill": "Object Oriented Programming",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Programming Algorithm",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Java Web Application",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "Java Framework",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Hibernate",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "Web Technology",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Java Platform Enterprise Edition",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Eclipse",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "Systems Design",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Spring Ribbon",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Data Structure",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Version Control",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Java",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Spring Framework",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Thread Dump Analysis",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Web Development",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Agile Software Development",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "JUnit",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Tool"
                },
                {
                    "Skill": "Cloud Computing",
                    "ProficiencyLevel": "Moderate",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Problem Solving",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Soft"
                },
                {
                    "Skill": "Microservices",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Performance Tuning",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Software Development Life Cycle",
                    "ProficiencyLevel": "Native",
                    "SkillType": "Technology"
                },
                {
                    "Skill": "Software Debugging",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                },
                {
                    "Skill": "Representational State Transfer",
                    "ProficiencyLevel": "Proficient",
                    "SkillType": "Knowledge"
                }
            ],
            "Ontology": "Information>Software Developers and Programmers>Java Developer"
        },
        "Organization": "",
        "StaffingAgency": "",
        "AboutOrganization": "",
        "JobLocation": {
            "Location": "",
            "City": "",
            "State": "",
            "Country": "",
            "IsoCountryCode": "",
            "ZipCode": ""
        },
        "JobCode": "",
        "JobType": "",
        "JobShift": "",
        "IsManagementJob": "false",
        "IndustryType": "",
        "ExcecutiveType": "Information",
        "PostedOnDate": "",
        "ClosingDate": "",
        "ExperienceRequired": {
            "MinimumYearsExperience": "",
            "MaximumYearsExperience": ""
        },
        "ContractDuration": "",
        "HasContract": "false",
        "SalaryOffered": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "BillRate": {
            "MinAmount": "",
            "MaxAmount": "",
            "Currency": "",
            "Units": "",
            "Text": ""
        },
        "NoticePeriod": "",
        "NoOfOpenings": "",
        "Relocation": "",
        "Languages": "",
        "PreferredDemographic": {
            "Nationality": "",
            "Visa": "",
            "AgeLimit": "",
            "Others": ""
        },
        "Domains": [
            "Management Of Companies And Enterprises"
        ],
        "Qualifications": {
            "Preferred": [
                "Bachelors",
                "Masters degree in Computer Science"
            ],
            "Required": []
        },
        "Certifications": {
            "Preferred": [],
            "Required": []
        },
        "Skills": {
            "Preferred": [
                {
                    "Skill": "Cross-Functional",
                    "Type": "OperationalSkill",
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        "JobDescription": "Java Developer\nPosition Overview\nWe are looking for a skilled Java Developer\nKey Responsibilities\n\n Design , develop , and maintain Java-based applications.\n\n Collaborate with cross-functional teams to integrate new features and technologies into applications.\nRequirements\n\n Bachelor's or Master's degree in Computer Science , Software Engineering , or related field.\nKey Java Skills\njava\n",
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            "- Troubleshoot and resolve issues related to Java programming, database integration, and system performance optimization.",
            "- Participate in code reviews and contribute to the improvement of existing Java-based applications.",
            "- Stay up-to-date with industry trends, new technologies, and best practices in Java development."
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        "Missing Skills": [
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            "- Experience with Java frameworks like Spring, Hibernate, or Maven.",
            "- Strong understanding of object-oriented programming principles, data structures, and algorithms.",
            "- Excellent problem-solving skills, attention to detail, and ability to work in a team environment."
        ],
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        "Missing Certifications": [
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            "- Certified Scrum Master (CSM) certification from Scrum Alliance.",
            "- AWS Certified Java Developer - Professional certification."
        ],
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            "- Master's degree in Computer Science, Software Engineering, or related field preferred for advanced positions."
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}