The Job Opening Analyzer API is a powerful tool that helps you quickly and accurately understand job postings. By utilizing cutting-edge natural language processing (NLP) and machine learning (ML) algorithms, this API is able to analyze job descriptions and extract critical information, including requirements, qualifications, and responsibilities. With this information, you can make informed decisions about whether a job opening is right for you, saving you time and effort in the job search process.
The API can be integrated into your existing recruitment workflow, allowing you to automate the analysis of job descriptions and save valuable time. Whether you're an individual job seeker or a recruiter managing multiple job postings, the Job Opening Analyzer API can help you quickly get the information you need to make informed decisions.
Additionally, the API's machine learning algorithms are constantly learning and evolving, ensuring that you always receive the most accurate information possible. Whether you're looking for a new job or need to fill an open position, the Job Opening Analyzer API is a valuable tool that will help you find the right fit.
Pass the job description and receive accurate information about it.
Job Seeker: An individual job seeker can use the Job Opening Analyzer API to quickly understand the requirements, qualifications, and responsibilities of a job posting, allowing them to make informed decisions about which job openings to apply for.
Recruitment Agencies: Recruitment agencies can use the API to streamline their workflow and automate the analysis of job descriptions, saving time and effort when sorting through multiple job postings.
Human Resources: HR departments can use the API to quickly and accurately understand job descriptions, allowing them to make informed decisions about which candidates to bring in for interviews.
Career Websites: Career websites can integrate the API into their platform, providing job seekers with a detailed analysis of job postings, giving them a competitive advantage in their job search.
Employers: Employers can use the API to analyze job descriptions they have written to ensure they accurately reflect the requirements, qualifications, and responsibilities of the position. This can help attract the right candidates and increase the likelihood of successful hires.
Besides the number of API calls, there is no other limitation.
An API endpoint that analyzes a job description and returns information such as job title, company, required soft skills, and required hard skills
Could accept the following parameters:
It would return the following data:
Object | Description |
---|---|
Request Body |
[Required] Json |
{"analysis": {"titleSynonyms": [], "nlpJobTitles": ["Data Science Manager"], "nlpSeniority": [], "nlpRequiredLanguages": [], "nlpRequiredTechnicalSkills": ["Javascript", "Cons", "Their Pros", "Data Mining Techniques", "Process Data", "Machine Learning Techniques", "Random Forest", "Java", "Statistical Testing", "R", "Gain Insights", "Sql", "Regression", "Statistical Programming Languages", "Statistics", "Artificial Neural Networks", "Advanced Statistical Techniques And Concepts", "C", "Linear Algebra", "Text Mining", "Clustering", "+", "Social Network Analysis", "Glm", "Decision - Tree Learning", "Distribution Properties", "Use Data Visualization Tools", "Python", "Showcase Data For Stakeholders"], "nlpRequiredSoftSkills": ["Promote Cross - Team Collaboration", "Quantitative Skillset", "Communication", "Solving Complex Problems"], "nlpRequiredDiploma": [], "nlpResponsibilities": ["Make It With Pride .", "You will be crucial in supporting our business by creating valuable , actionable insights about the data , and communicating your findings to the business .", "You will work with various stakeholders to determine how to use business data for business solutions / insights .", "Analyze and derive value from data through the application methods such as mathematics , statistics , computer science , machine learning and data visualization .", "In this role you will also formulate hypotheses and test them using math , statistics , visualization and predictive modeling", "Understand business challenges , create valuable actionable insights about the data , and communicate your findings to the business .", "Enable data - driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications .", "Coordinate with other technical / functional teams to implement models and monitor results", "Apply mathematical , statistical , predictive modelling or machine - learning techniques and with sensitivity to the limitations of the techniques .", "Select , acquire and integrate data for analysis .", "Develop data hypotheses and methods , train and evaluate analytics models , share insights and findings and continues to iterate with additional data", "Develop processes , techniques , and tools to analyze and monitor model performance while ensuring data accuracy", "Evaluate the need for analytics , assess the problems to be solved and what internal or external data sources to use or acquire .", "Specify and apply appropriate mathematical , statistical , predictive modelling or machine - learning techniques to analyze data , generate insights , create value and support decision making", "Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements"], "nlpQualifications": ["Strong quantitative skillset with experience in statistics and linear algebra .", "A natural inclination toward solving complex problems", "Knowledge / experience with statistical programming languages including R , Python , SQL , etc . , to process data and gain insights from it", "Knowledge of machine learning techniques including decision - tree learning , clustering , artificial neural networks , etc . , and their pros and cons", "Knowledge and experience in advanced statistical techniques and concepts including , regression , distribution properties , statistical testing , etc .", "Good communication skills to promote cross - team collaboration", "Multilingual coding knowledge / experience : Java , JavaScript , C , C + + , etc .", "Experience / knowledge in statistics and data mining techniques including random forest , GLM / regression , social network analysis , text mining , etc .", "Ability to use data visualization tools to showcase data for stakeholders"], "nlpDiplomas": [], "nlpExperiences": [], "nlpQuery": ["Data Science Manager", "Javascript", "Cons", "Their Pros", "Data Mining Techniques", "Process Data", "Machine Learning Techniques", "Random Forest", "Java", "Statistical Testing", "R", "Gain Insights", "Sql", "Regression", "Statistical Programming Languages", "Statistics", "Artificial Neural Networks", "Advanced Statistical Techniques And Concepts", "C", "Linear Algebra", "Text Mining", "Clustering", "+", "Social Network Analysis", "Glm", "Decision - Tree Learning", "Distribution Properties", "Use Data Visualization Tools", "Python", "Showcase Data For Stakeholders"], "nlpMatch": "Data Science Manager Javascript Cons Their Pros Data Mining Techniques Process Data Machine Learning Techniques Random Forest Java Statistical Testing R Gain Insights Sql Regression Statistical Programming Languages Statistics Artificial Neural Networks Advanced Statistical Techniques And Concepts C Linear Algebra Text Mining Clustering + Social Network Analysis Glm Decision - Tree Learning Distribution Properties Use Data Visualization Tools Python Showcase Data For Stakeholders", "count": {"Position": {"data science manager": 1}, "Company": {"mondel\u0113z international": 1, "pride": 1}, "ActionVerb": {"make": 1, "supporting": 1, "creating": 2, "communicating": 1, "work": 1, "determine": 1, "use": 2, "analyze": 3, "derive": 1, "formulate": 1, "test": 1, "understand": 1, "create": 2, "communicate": 1, "enable": 1, "underscoring": 1, "coordinate": 1, "implement": 1, "monitor": 2, "apply": 2, "select": 1, "acquire": 1, "integrate": 1, "develop": 2, "train": 1, "evaluate": 2, "share": 1, "to iterate": 1, "ensuring": 1, "assess": 1, "specify": 1, "generate": 1, "contribute to": 1, "manage": 1, "recommend": 1}, "NounPhrase": {"business": 3, "valuable": 1, "actionable insights": 1, "data": 6, "findings": 3, "stakeholders": 1, "business data": 1, "business solutions / insights": 1, "value": 2, "application methods": 1, "mathematics": 1, "statistics": 2, "computer science": 1, "machine learning": 1, "data visualization": 2, "hypotheses": 1, "math": 1, "visualization": 1, "predictive modeling": 1, "business challenges": 1, "valuable actionable insights": 1, "-": 3, "driven decision making": 1, "custom models": 1, "prototypes": 1, "trends": 1, "patterns discerned": 1, "implications": 1, "technical / functional teams": 1, "models": 1, "results": 1, "mathematical": 2, "statistical": 2, "predictive modelling": 2, "machine": 2, "learning techniques": 2, "sensitivity": 1, "limitations": 1, "techniques": 2, "analysis": 1, "data hypotheses": 1, "methods": 1, "analytics models": 1, "insights": 2, "continues": 1, "additional data": 1, "processes": 1, "tools": 1, "model performance": 1, "data accuracy": 1, "need": 1, "analytics": 1, "problems": 1, "internal": 1, "external data sources": 1, "acquire": 1, "support decision making": 1, "exploration": 1, "experimentation": 1, "reviews": 1, "benefits": 1, "value of analytics techniques and tools": 1, "improvements": 1}, "Soft": {"quantitative skillset": 1, "solving complex problems": 1, "communication": 1, "promote cross - team collaboration": 1}, "Technical": {"statistics": 2, "linear algebra": 1, "statistical programming languages": 1, "r": 1, "python": 1, "sql": 1, "process data": 1, "gain insights": 1, "machine learning techniques": 1, "decision - tree learning": 1, "clustering": 1, "artificial neural networks": 1, "their pros": 1, "cons": 1, "advanced statistical techniques and concepts": 1, "regression": 2, "distribution properties": 1, "statistical testing": 1, "java": 1, "javascript": 1, "c": 2, "+": 2, "data mining techniques": 1, "random forest": 1, "glm": 1, "social network analysis": 1, "text mining": 1, "use data visualization tools": 1, "showcase data for stakeholders": 1}}}}
curl --location --request POST 'https://zylalabs.com/api/1365/job+openings+analyzer+api/1140/job+analyzer' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Job Openings Analyzer API REST API, simply include your bearer token in the Authorization header.
Header | Description |
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Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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